Our Certification Program

Our certification program is a hallmark of AI excellence. Through rigorous training, hands-on projects, and industry insights, we empower individuals to earn credentials that validate their expertise and propel them into impactful careers
Curriculum Overview

GreenoNetics® Certified Prompt Engineer(GN-CPE®)​

GreenoNetics® Certified Prompt Engineer (GN-CPE®)  offers progressive levels from basic prompts to advanced AI integration, fostering expertise in linguistic precision, ethical considerations, and instructional leadership for responsible AI interaction

Through hands-on projects and expert guidance, participants gain the knowledge to innovate and contribute to the evolving landscape of AI-driven language generation.

GreenoNetics® Certified Prompt Engineer (GN-CPE®) – White Belt​

  • Provides an accessible, foundational introduction to prompt engineering for beginners.

  • Covers the basic structure and components of effective prompts, including clarity and context.

  • Introduces core AI and NLP concepts such as tokenization, model behavior, and common output issues.

  • Emphasizes linguistic clarity through grammar fundamentals, vocabulary control, and active voice.

  • Teaches ethical awareness, bias detection, and explainability in prompt design.

  • Includes hands-on practice using AI companions, prompt journals, and peer review activities.

  • Introduces prompt evaluation methods including relevance, coherence, and basic scoring rubrics.

  • Trains participants in crafting task-specific prompts like summaries, lists, and Q&A.

  • Integrates accessibility principles and inclusive design strategies for neurodiverse learners.

  • Concludes with a certification assessment involving prompt creation, multiple-choice testing, and reflection.

GreenoNetics® Certified Prompt Engineer (GN-CPE®) – Yellow Belt​

  • Designed for intermediate learners to refine, evaluate, and optimize prompt engineering techniques.

  • Explores the interaction between prompt design and model internals such as tokenization and context windows.

  • Teaches the use of prompt quality scoring, A/B testing, and benchmarking for performance tracking.

  • Strengthens clarity and tone through advanced grammar, vocabulary control, and inclusive language.

  • Equips learners to identify and mitigate bias using stress tests and persona-based prompt design.

  • Enhances context expansion techniques and trains learners to reduce ambiguity in prompt construction.

  • Introduces structured output formats including JSON, tables, and bullet lists.

  • Trains learners to apply recovery prompts to correct or refine poor AI responses.

  • Promotes systematic experimentation with prompt variations through peer collaboration.

  • Builds skills in response evaluation using analytics, heatmaps, and learning velocity metrics.

  • Expands creativity through few-shot prompting and multimodal content generation.

  • Encourages ethical awareness and expectation management with AI limitations and error taxonomies.

  • Includes domain-specific prompting labs for sectors such as legal, healthcare, and finance.

  • Provides hands-on labs with peer feedback, rubric co-creation, and iterative refinement.

GreenoNetics® Certified Prompt Engineer (GN-CPE®) – Green Belt​

  • Designed for advanced practitioners aiming to build robust, scalable, and adaptive prompt workflows.

  • Emphasizes modular prompt architecture, enabling component reuse across varied tasks and domains.

  • Introduces advanced chaining techniques, including zero-shot, few-shot, and multi-shot pipelines.

  • Trains learners to build and optimize multi-step prompt flows for reasoning, decision trees, and narrative generation.

  • Includes real-world case studies and labs focused on enterprise use cases such as policy writing, product development, and customer service.

  • Teaches error anticipation and mitigation with guardrails, constraint checks, and response fallback layers.

  • Strengthens precision and output quality using advanced constraint prompting and format enforcement.

  • Enables learners to construct and maintain prompt libraries and documentation for team collaboration.

  • Includes use of prompt versioning, change logs, and regression testing to manage prompt evolution.

  • Focuses on scalable frameworks to deploy prompts across tools, teams, and products.

  • Covers dynamic prompt injection for real-time variable handling and template adaptation.

  • Trains participants to use advanced analytics, including prompt effectiveness dashboards and ROI impact metrics.

  • Equips learners to perform deep audits on AI outputs using bias probes, hallucination maps, and tone checkers.

  • Explores integration of prompts within plug-ins, workflows, and low-code environments.

  • Emphasizes collaboration with stakeholders (legal, UX, product) to align prompt outputs with compliance and user needs.

  • Introduces ensemble prompting techniques to combine strengths of multiple outputs or models.

  • Builds systems-thinking approaches for prompt system design, governance, and failure mode analysis.

  • Teaches prompt-driven knowledge synthesis and summarization of lengthy, multi-source inputs.

  • Includes advanced peer labs, scenario-based simulations, and guided capstone projects.

GreenoNetics® Certified Prompt Engineer (GN-CPE®) – Black Belt​

  • Tailored for senior practitioners developing domain-specific prompt systems and advanced AI collaborations.

  • Focuses on designing high-stakes prompt frameworks for decision support, policy design, and simulations.

  • Teaches adaptive prompt architectures that respond to dynamic input and evolving user goals.

  • Integrates hybrid human-AI workflows for joint ideation, drafting, and quality assurance.

  • Trains learners to lead large-scale prompt engineering projects across cross-functional teams.

  • Introduces intelligent prompt chaining for autonomous research assistants and multi-turn tasks.

  • Covers multi-agent orchestration: structuring conversations among specialized AI agents.

  • Equips learners to design regulatory-compliant prompts aligned with GDPR, HIPAA, and industry standards.

  • Explores the use of AI models for hypothesis testing, simulation generation, and knowledge triangulation.

  • Builds capacity to write prompts that generate dashboards, code blocks, visual summaries, and analytics reports.

  • Deepens proficiency with contrastive prompting and self-consistency techniques to increase output reliability.

  • Enables learners to create diagnostic and red-teaming prompts to uncover edge cases and failure patterns.

  • Includes prompt security practices: data redaction, injection defense, and misuse prevention.

  • Covers cross-cultural prompt design: adapting language, tone, and structure for global audiences.

  • Provides training on metadata-driven prompting: using tags and classifications to shape outputs.

  • Emphasizes rigorous evaluation methods: multi-metric scoring, regression tracking, and stakeholder feedback loops.

  • Teaches documentation best practices for prompt libraries, version control, and reproducibility.

  • Embeds thought-leadership activities including publication prep, case study drafting, and internal evangelism.

  • Incorporates organizational integration: aligning prompt systems with enterprise tools and knowledge bases.

  • Culminates in a capstone innovation sprint producing an original prompt system, white paper, and presentation.

GreenoNetics® Certified Prompt Engineer (GN-CPE®) – Master Black Belt​

GreenoNetics® Certified Prompt Engineer (GN-CPE®) – Master Black Belt​ Trainer

  • Conduct original research in prompt engineering and publish findings in white papers or conferences.

  • Master experimental design using prompt variants, metrics, and reproducibility techniques.

  • Design and deliver advanced workshops using adult learning and inclusive pedagogy.

  • Earn facilitator accreditation through co-teaching and live evaluation.

  • Audit existing curriculum modules for Universal Design and propose improvements.

  • Launch structured mentorship programs combining human guidance and AI assistants.

  • Host recurring Prompt Clinics to support peer coaching and problem-solving.

  • Build and lead active learner communities across platforms like Slack or Discord.

  • Establish and manage an Alumni Advisory Circle to evolve the GN-CPE® ecosystem.

  • Draft a global Prompt Engineering Ethics & Governance Charter.

  • Map prompt templates to regulatory frameworks such as GDPR, HIPAA, and ISO.

  • Facilitate ethics wargames and simulate policy failures to test response systems.

  • Lead innovation labs and cross-disciplinary hackathons solving real-world problems.

  • Evaluate new prompt solutions using AI-driven idea valuation workflows.

  • Create and manage an open-source prompt template repository with governance protocols.

  • Publish plugin scaffolds for tools such as Slack, Teams, and CRMs.

  • Plan and execute a capstone project that delivers measurable business or societal impact.

  • Report ROI using analytics dashboards, showing time saved, quality improved, or cost reduced.

  • Present findings in a live showcase to stakeholders or external audiences.

  • Emerge as a global thought leader, mentoring new trainers and shaping prompt engineering standards.

GreenoNetics® Certified Prompt Engineer (GN-CPE®) – White Belt

Duration: 8 hours

Course Overview:

The GreenoNetics® Certified Prompt Engineer (GN-CPE®) – White Belt course provides an accessible and structured foundation in prompt engineering. Designed for individuals new to AI language models, this immersive program introduces essential concepts such as prompt structure, linguistic clarity, AI model behavior, ethical prompting, and basic evaluation techniques. The course emphasizes hands-on practice, inclusive learning design, and iterative skill development using AI tools. By the end of this level, participants will have the confidence and competence to craft meaningful prompts and evaluate responses, preparing them for further advancement in the GN-CPE® certification pathway.

Course Objectives:

  • Understand the fundamentals of prompt engineering and AI model interaction.
  • Identify the components of effective prompts and apply basic decomposition techniques.
  • Develop clear, concise, and structured prompts across common use cases.
  • Recognize ethical considerations and safety practices in prompt design.
  • Apply basic evaluation metrics to assess AI-generated outputs.
  • Build foundational skills and confidence to progress to Yellow Belt certification.

Detailed Course Contents:

Module 1: Orientation & Adaptive Kick-Off

  • Understand course structure, belt system, and assessment expectations.
  • Complete an adaptive pre-assessment to personalize the learning journey.
  • Explore inclusive design supports and neurodiversity engagement strategies.

Module 2: Fundamentals of Prompt Engineering

  • Define prompt engineering and its evolving role in AI interaction.
  • Identify the components of a prompt: instruction, context, and constraint.
  • Apply decomposition techniques to break complex tasks into micro-prompts.

Module 3: Understanding AI Language Models

  • Learn how language models generate responses from prompts.
  • Identify capabilities and limitations, including bias and hallucination risks.
  • Examine how tokenization, context windows, and model drift affect output.

Module 4: Linguistic Fundamentals & Clarity

  • Practice writing with precision, avoiding ambiguity and verbosity.
  • Use grammar, modifiers, and structure to improve AI understanding.
  • Adapt prompt difficulty using labeled tracks for diverse learners.

Module 5: Crafting Contextual & Structured Prompts

  • Add background context and formatting constraints to guide outputs.
  • Use conditional instructions and tone specifications effectively.
  • Enable learners to toggle learning feedback (e.g., diagrams or analogies).

Module 6: Ethical Prompting & Explainability

  • Recognize fairness, bias, and privacy obligations in AI interactions.
  • Create prompts that elicit step-by-step reasoning and transparency.
  • Practice red-teaming basics and mitigation prompt patterns.

Module 7: Hands-On Prompt Creation & AI Practice

  • Draft, test, and refine prompts in guided lab activities.
  • Use AI companion bots for real-time improvement feedback.
  • Maintain a digital prompt journal to track learning and iterations.

Module 8: Evaluating AI Responses

  • Apply scoring rubrics to assess response quality and coherence.
  • Run A/B tests to compare prompt versions and outcomes.
  • Identify signs of drift, over-verbalization, or irrelevant outputs.

Module 9: Task-Oriented Prompting

  • Design prompts for summarization, list generation, and Q&A tasks.
  • Use format-specific templates (e.g., JSON, table, bullet list).
  • Apply recovery techniques for failed or unclear prompts.

Module 10: Certification Assessment & Reflection

  • Complete final assessment consisting of quiz and prompt challenge.
  • Reflect on learning through journaling and feedback exercises.
  • Receive transition briefing and goal setting for Yellow Belt.

Module 11: Inclusive Prompt Design Principles

  • Integrate learning styles and persona-based variation into prompts.
  • Review Universal Design for Learning principles in AI instruction.
  • Practice inclusive language through guided scenarios.

Module 12: Introduction to Multimodal Prompting

  • Understand how prompts can incorporate text, image, or audio.
  • Explore use cases and structure for multimodal prompts.
  • Discuss limitations and safety in handling multimodal inputs.

Module 13: Prompt Decomposition Techniques

  • Break complex instructions into smaller logical units.
  • Use decomposition worksheets to visualize prompt flow.
  • Apply chaining techniques to connect sub-tasks.

Module 14: Formatting & Constraint Embedding

  • Use prompt constraints to define output style, tone, and length.
  • Structure prompts using controlled templates and syntax.
  • Practice tone toggles (formal, casual, bullet form, etc.).

Module 15: Grammar Enhancement for Prompting

  • Refine prompt clarity through modifiers and structure.
  • Choose vocabulary aligned to general comprehension levels.
  • Translate abstract language into simplified terms.

Module 16: Prompt Testing Using Companion Bots

  • Engage with bots to preview and adjust prompt performance.
  • Compare outputs using critique prompts and real-time revision.
  • Build feedback loops from bot recommendations into the journal.

Module 17: Red-Teaming Simulation Exercises

  • Conduct guided red-teaming drills to test prompt safety.
  • Identify potential output risks and deploy mitigation prompts.
  • Document ethical handling strategies in prompt scenarios.

Module 18: Glossary & Key Concept Review

  • Reinforce foundational terminology and technical terms.
  • Use flashcards and mini-quizzes to build fluency.
  • Conduct group review and terminology challenge sessions.

Module 19: Prompt Journaling & Portfolio Building

  • Capture draft iterations, outputs, and reflections.
  • Begin compiling a foundational prompt portfolio.
  • Set development goals based on journal analysis.

Module 20: Yellow Belt Readiness & Community Engagement

  • Preview advanced topics (context control, ambiguity handling).
  • Connect with GN-CPE® peer community and resource hubs.
  • Define next steps in the certification journey.

Assessment Task:

Title: GN-CPE® White Belt Certification Assessment
Synopsis:
Participants must complete a certification test to demonstrate mastery of foundational prompt engineering concepts. The assessment includes a multiple-choice quiz and a prompt creation challenge.
Duration: 1 hour

Assessment Format:

  • Multiple-Choice Quiz (20 mins): 40 questions on prompt structure, AI behavior, ethics, and clarity. A score of 70% or higher is required to pass.
  • Prompt Creation Challenge (40 mins): Create a series of prompts across simple tasks (e.g., “What is AI?” for a 5th grader, summarizing a short text) to produce a combined 2,500-word AI response output.

Evaluation Criteria:

  • Relevance: AI outputs must align with the intent of the prompt.
  • Clarity: Prompts must be unambiguous and well-structured.
  • Effectiveness: Outputs should fulfill the instruction accurately and coherently.
  • Ethical Considerations: Prompts must avoid harmful or biased language and follow ethical design principles.

Expected Outcomes:

By the end of the White Belt level, participants will:

  • Understand key terminology and principles of prompt engineering.
  • Create clear and purposeful prompts suitable for everyday AI interactions.
  • Apply ethical design and evaluation techniques to basic prompt tasks.
  • Build a journal and foundational prompt portfolio for future development.
  • Be ready to progress to the GN-CPE® Yellow Belt level.

Prerequisites for White Belt

  • No prior experience with AI or prompt engineering required
  • Basic computer skills and familiarity with using web-based applications
  • Comfortable with online learning environments and digital collaboration tools
  • Open mindset to learn foundational AI interaction concepts
  • Willingness to engage with diverse learning materials including videos, quizzes, and group activities

Price:

$350 / pax

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GreenoNetics® Certified Prompt Engineer (GN-CPE®) – Yellow Belt

Duration: 8 Hours

Course Overview:

The GreenoNetics® Certified Prompt Engineer (GN-CPE®) – Yellow Belt course deepens participants’ foundational knowledge by focusing on prompt optimization, evaluation techniques, and domain-specific applications. This level builds on the White Belt foundation and introduces advanced grammar strategies, context layering, structured output enforcement, peer collaboration, and analytics-based response evaluation. Participants engage in hands-on activities, group projects, and performance tracking while refining prompt engineering skills using GN-PET enhancements. The program also integrates ethical considerations, troubleshooting methods, and real-time feedback tools to ensure participants are equipped to design, test, and refine prompts for diverse applications with confidence and clarity.

Course Objectives:

By the end of this course, participants will be able to:

  • Analyze and apply natural language processing concepts to refine AI prompt behavior.
  • Use advanced grammar, controlled vocabulary, and inclusive language to enhance prompt clarity.
  • Construct structured, contextual, and domain-specific prompts that reduce ambiguity and bias.
  • Collaborate with peers to evaluate, iterate, and optimize prompts using analytics and response scoring tools.
  • Apply troubleshooting, recovery techniques, and ethical frameworks in prompt refinement.

Detailed Course Contents:

Module 1: Understanding AI & NLP Fundamentals

  • Explore transformer models, tokenization, and NLP pipelines.
  • Analyze how prompt structure influences model behavior and outputs.
  • Learn prompt quality metrics, A/B testing methods, and benchmarking.

Module 2: Advanced Grammar & Vocabulary

  • Use grammatical precision to minimize ambiguity and enhance clarity.
  • Identify and correct bias in prompt language.
  • Implement dual-language glossaries and inclusive persona profiles.

Module 3: Context Expansion & Handling Ambiguity

  • Layer prompts with user goals, data, and output format to build context.
  • Diagnose ambiguity from vague references and unclear constraints.
  • Introduce multimodal cues and rotate scenarios across industries.

Module 4: Effective Use of Keywords & Prompt Structuring

  • Select impactful keywords to influence model focus.
  • Apply JSON, table, and list formats to guide structured responses.
  • Use recovery prompts to correct off-topic or incoherent outputs.

Module 5: Experimenting with Prompt Variations & Peer Collaboration

  • Conduct prompt experiments by changing variables like tone or structure.
  • Work in teams to provide rubric-based peer feedback.
  • Track variations using simple experiment logs and evaluation tools.

Module 6: Evaluating Response Coherence & Analytics

  • Build heatmaps to detect response errors (hallucinations, verbosity).
  • Track learning velocity by measuring time and iterations to success.
  • Apply inline feedback widgets during live prompt reviews.

Module 7: Leveraging AI for Content Expansion

  • Expand ideas from seed content using “elaborate” and metaphor prompts.
  • Apply few-shot prompting to guide tone and structure.
  • Use visual prompts for multimodal content generation.

Module 8: Managing Model Expectations & Ethical Impact

  • Align expectations to realistic model capabilities and limitations.
  • Use error taxonomy to classify and improve faulty responses.
  • Conduct ethical red-teaming to anticipate bias or harm.

Module 9: Advanced Troubleshooting & Refinement

  • Use prompt decomposition to isolate and correct underperforming segments.
  • Apply structured recovery techniques to reframe or simplify prompts.
  • Create repeatable refinement workflows.

Module 10: Domain-Specific & Few-Shot Prompting

  • Craft prompts tailored to sectors like healthcare, finance, and law.
  • Use industry-specific starter packs and glossaries.
  • Design few-shot prompts to improve accuracy in specialized tasks.

Module 11: Peer Review & Evaluation Techniques

  • Co-create peer evaluation rubrics with clarity, ethics, and structure criteria.
  • Rotate prompt drafts among panels for iterative review.
  • Facilitate consensus-based refinement discussions.

Module 12: Real-Time Prompt Optimization

  • Integrate instant feedback tools in prompt labs.
  • Practice scoring prompt effectiveness on live dashboards.
  • Improve prompts in real-time with AI companion responses.

Module 13: Structured Output Generation

  • Practice forcing AI to return data in tabular or JSON format.
  • Chain multiple constraints to maintain structure and flow.
  • Compare AI compliance across different output formats.

Module 14: Managing Prompt Drift & Output Fatigue

  • Detect signs of model drift and verbosity.
  • Adjust token limits, temperature, and length for precision.
  • Use reset prompts and framing adjustments to reduce fatigue.

Module 15: Personal Prompt Portfolio Building

  • Select top prompts and refine them into a professional showcase.
  • Annotate each prompt with rationale, variation, and output examples.
  • Export portfolio data with analytics metadata.

Module 16: Iterative Prompt Debugging

  • Test and isolate problem areas in prompts using sandbox environments.
  • Iterate corrections and track performance improvements.
  • Collaborate with peers for troubleshooting support.

Module 17: Ethics and Safety in Real-World Deployment

  • Learn about AI misuse, deepfake risks, and mitigation strategies.
  • Create ethically aligned prompts for sensitive use cases.
  • Implement consent-first prompting techniques.

Module 18: Prompting Across Multimodal Systems

  • Embed image/audio references in prompts to guide response style.
  • Compare outputs across different AI platforms.
  • Develop strategies for cross-model adaptation.

Module 19: Applied Prompting in Business Use Cases

  • Draft prompts for marketing, internal communications, and training.
  • Use structured formats for reports, emails, and content briefs.
  • Test prompt suitability in real-world case simulations.

Module 20: Capstone Simulation & Presentation

  • Design, test, and refine a full prompt workflow in a simulated task.
  • Present process, output, and improvements to peer panel.
  • Receive final feedback and readiness confirmation for Green Belt.

Assessment Task:

Title: GN-CPE® Yellow Belt Certification Assessment
Synopsis: Participants must complete a final assessment consisting of both a complex prompting task and peer review.
Duration: 2 hours

Certification Task:

  • Complex Summary Project (90 mins):
    Create a prompt workflow that generates 5,000 words of content on an assigned domain topic (e.g., policy brief, technical article). Prompts must demonstrate:
    • Clarity, context layering, and keyword effectiveness
    • Few-shot prompting for domain accuracy
    • Ethical prompting and recovery mechanisms
    • Logging of prompt versions, quality scores, and design rationale

Reflection & Next Steps:

  • Export prompt metadata for personal portfolios.
  • Complete final feedback pulse survey and receive a personalized briefing on Green Belt pathways.
 Expected Outcomes:

Participants will:

  • Gain advanced skills in prompt variation, structure, and analytics.
  • Evaluate and optimize prompt effectiveness using scoring matrices and heatmaps.
  • Apply ethical standards and debugging techniques to real-world applications.
  • Collaborate and communicate feedback using co-created rubrics.
  • Build a prompt portfolio that demonstrates competence across various formats and industries.
Prerequisites
  • Completion of GN-CPE® White Belt certification or equivalent foundational knowledge in prompt engineering
  • Basic understanding of AI language models and prompt anatomy
  • Familiarity with core AI interaction concepts such as context windows, tokenization, and prompt decomposition
  • Experience crafting simple prompts and evaluating basic AI outputs
  • General computer literacy and ability to engage in online learning platforms
  • Willingness to participate in collaborative exercises and peer reviews

Price:
$ 650 / pax

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GreenoNetics® Certified Prompt Engineer (GN-CPE®) – Green Belt

Duration: 16 hours

Course Overview:

The GreenoNetics® Certified Prompt Engineer (GN-CPE®) – Green Belt course is designed for participants who have completed foundational and intermediate levels and are ready to advance into expert-level techniques in prompt engineering. This level focuses on mastering multi-turn dialogue flows, integrating multimodal inputs (text, image, audio), building adaptive and automated workflows, and managing real-time interaction. With a strong emphasis on ethical considerations, troubleshooting, and domain-specific customization, participants will be equipped to design powerful, scalable AI interactions suitable for enterprise and high-stakes environments. The course includes collaborative labs, hands-on simulations, and a capstone project to ensure real-world readiness.

Course Objectives:

  • Master the use of multi-turn and multimodal prompt engineering for dynamic, interactive AI systems.
  • Develop advanced techniques in role-based prompting, chain-of-thought reasoning, and adaptive response generation.
  • Apply prompt versioning, compliance safeguards, and error recovery systems in real-time applications.
  • Design and implement automated workflows with orchestration flowcharts and pseudo-API integrations.
  • Conduct ethical evaluations and bias audits to ensure AI safety, fairness, and regulation compliance.
  • Create domain-specific and user-personalized prompts that align with real-world tasks and industries.

Detailed Course Contents:

Module 1: Linguistic Precision & Multimodal Prompting

  • Refine prompts using advanced grammar and eliminate ambiguity for nuanced AI outputs.
  • Integrate text with images and audio using fusion techniques for enriched responses.
  • Utilize few-shot exemplars within multimodal contexts for consistency and clarity.

Module 2: Context Management & Real-Time Interaction

  • Build layered context using user goals, environmental data, and temporal markers.
  • Incorporate real-time feedback tools and inline refinement strategies.
  • Create adaptive prompts that respond dynamically to user/system input.

Module 3: Multi-Turn Dialogue & Agent Role Prompting

  • Design multi-turn conversations that maintain state and adapt to user input.
  • Use agent role cards to define behavior, memory, and boundaries in AI agents.
  • Apply chain-of-thought techniques to deepen AI reasoning and reflection.

Module 4: Prompt Chaining & Automation Fundamentals

  • Construct complex prompt pipelines using BPMN-style orchestration flowcharts.
  • Insert compliance guard prompts to enforce data sensitivity protocols.
  • Manage iterative prompt versions using a structured versioning system.

Module 5: Creative Prompting & Cross-Modal Storytelling

  • Drive emotionally engaging outputs using narrative branching prompts.
  • Generate metaphors and analogies to explain technical concepts creatively.
  • Design multimodal storyboards blending text, audio, and image sequences.

Module 6: Ethical Prompt Engineering & Bias Audits

  • Conduct red-teaming exercises to expose prompt vulnerabilities and unsafe content.
  • Analyze AI failures using postmortem templates for transparency and learning.
  • Map prompt designs to compliance regulations like GDPR, HIPAA, and FINRA.

Module 7: Troubleshooting, Recovery & Optimization

  • Classify common prompt errors using a structured error taxonomy.
  • Apply recovery strategies including rephrasing, simplification, and clarification.
  • Run linting tools to catch ambiguous phrasing and ensure format compliance.

Module 8: Domain-Specific & Inclusive Prompting

  • Customize prompt templates for industry verticals like healthcare and finance.
  • Tailor outputs using persona banks for diverse users and learning needs.
  • Use adaptive tutor patterns to scale AI difficulty based on user performance.

Module 9: Multi-Agent Prompt Chains & Team Collaboration

  • Build integrated workflows using multiple AI agents in sequential roles.
  • Participate in collaborative prompt refinement and triage sessions.
  • Contribute to open prompt libraries with clear documentation and metadata.

Module 10: Capstone Project – Integrated Prompt Solution

  • Design a multi-modal, multi-turn prompt system using automation and agent roles.
  • Integrate compliance, bias audit, and recovery mechanisms in the solution.
  • Present a comprehensive solution that demonstrates creativity and ethical awareness.

Module 11: Temporal Prompting and Time-Based Context

  • Embed time markers (“as of now,” “in 2050”) to guide AI temporal understanding.
  • Compare model outputs across historical, current, and future framing.
  • Apply use cases to domains like forecasting and historical analysis.

Module 12: Feedback-Driven Prompt Refinement

  • Use feedback widgets or peer input to adjust prompts in real time.
  • Practice cycles of prompt improvement based on live user feedback.
  • Evaluate how responsiveness impacts AI precision and clarity.

Module 13: Prompt Versioning & Documentation

  • Apply semantic versioning (MAJOR.MINOR.PATCH) to track prompt evolution.
  • Maintain changelogs and metadata tags in prompt repositories.
  • Create update strategies for collaborative environments.

Module 14: Guardrails & Compliance Enforcement

  • Deploy pre- and post-prompt filters to protect user data and model output.
  • Test for regulatory alignment in high-stakes or regulated domains.
  • Create fallback paths for failed prompts or sensitive topics.

Module 15: Real-Time Prompt Optimization

  • Improve response speed without sacrificing accuracy.
  • Balance latency and completeness in time-critical scenarios.
  • Optimize AI outputs under pressure using task-oriented templates.

Module 16: Narrative & Emotional Engagement Techniques

  • Craft human-like stories with emotional arcs using generative prompts.
  • Create audience-specific tone shifts and cultural hooks.
  • Use visual + auditory media to enhance engagement.

Module 17: Adaptive Learning Systems with AI Tutors

  • Build branching tutor prompts based on performance thresholds.
  • Design intelligent reteaching and feedback loops.
  • Personalize educational content for various learner profiles.

Module 18: Incident Handling & Postmortem Frameworks

  • Analyze failed AI responses using root-cause techniques.
  • Simulate real-world incident documentation and ethical recovery.
  • Recommend mitigation plans and improvements.

Module 19: Repository Governance & Prompt Sharing

  • Contribute to a shared prompt library with structured quality controls.
  • Learn repository best practices including moderation and metadata.
  • Collaborate on live prompt “clinics” for troubleshooting in teams.

Module 20: Presentation, Peer Review & Final Reflection

  • Present final solutions with flowcharts and prompt logs.
  • Participate in feedback rounds to refine ideas and approaches.
  • Reflect on learning and plan transition to Black Belt specialization.

Assessment Task:

Title: Integrated Multi-Turn, Multimodal, Automated Prompt Workflow
Synopsis: Participants will complete a 2.5-hour capstone task where they must design and implement a comprehensive prompt system featuring multi-turn dialogue, multimodal input (text, image, audio), agent roles, and automation.
Duration: 2.5 hours

Requirements:

  • Guide a conversation across text, image, and audio.
  • Automate at least two steps using pseudo-API flow or flowchart-based orchestration.
  • Include bias audits, compliance guards, and fallback prompts.
  • Present a final solution using flow diagrams and documentation.

Evaluation Criteria:

  • Technical Completeness (30%) – Accuracy of multi-agent, multimodal, and automation integration.
  • Creativity & Impact (25%) – Innovation and clarity in storytelling or domain-specific application.
  • Ethics & Safety (20%) – Use of compliance tools, bias audits, and incident preparedness.
  • Optimization (15%) – Use of linting, performance balance, and error handling.
  • Presentation (10%) – Clear communication, visual diagrams, and peer collaboration.

Expected Outcomes:

By the end of the Green Belt level, participants will:

  • Be proficient in designing advanced multi-turn, multimodal, and real-time prompts.
  • Build and evaluate AI workflows that align with automation, compliance, and ethical standards.
  • Solve complex problems using collaborative multi-agent design and domain-specific customization.
  • Gain the ability to develop prompt systems that scale across industries and applications.
  • Be prepared to advance into Black Belt level focusing on agents, governance, and automation leadership.

The prerequisites for the Green Belt course typically include:

  • Successful completion of the White Belt and Yellow Belt levels (or equivalent foundational prompt engineering training)
  • Basic understanding of AI language models, prompt anatomy, and fundamental prompt engineering principles
  • Familiarity with ethical considerations and bias in AI outputs
  • Experience in crafting simple prompts and evaluating AI responses
  • Comfort with digital learning tools and collaborative online platforms

Price:

$1,200 / pax

 

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GreenoNetics® Certified Prompt Engineer (GN-CPE®) – Black Belt

Duration: 24 hours

Course Overview:

The GreenoNetics® Certified Prompt Engineer (GN-CPE®) – Black Belt course marks the transition to expert-level mastery in prompt engineering. Designed for those who have demonstrated advanced capabilities, this level trains participants to lead AI-driven initiatives through the development of autonomous AI agents, complex workflow orchestration, enterprise-scale analytics, and ethical governance structures. Through a blend of technical rigor and leadership development, participants gain the ability to design, deploy, and govern high-impact prompt systems that meet compliance, creativity, and operational standards. The program emphasizes real-world implementation, hands-on labs, and strategic thinking, preparing participants to champion AI adoption across organizations and industries.

Course Objectives:

  • Design and manage autonomous, multi-agent AI systems for dynamic and specialized use cases.
  • Develop and deploy end-to-end prompt automation pipelines within enterprise environments.
  • Lead AI ethics, compliance, and governance initiatives using structured frameworks.
  • Utilize performance analytics and dashboards to monitor, optimize, and scale prompt systems.
  • Mentor and accredit future prompt engineers and lead community innovation through open-source and inter-organizational initiatives.
  • Build a comprehensive autonomous prompt solution as a capstone project, ready for deployment or portfolio presentation.

Detailed Course Contents:

Module 1: Linguistic Mastery & Creative Innovation

  • Eliminate ambiguity using ultra-precise language and refined structures.
  • Apply lateral thinking and metaphor generation to unlock novel AI outputs.
  • Learn from “creative failures” using diagnostic tools and reflection labs.

Module 2: AI Agent Design & Context Management

  • Create advanced Agent Role Cards with memory, triggers, and persona scope.
  • Coordinate multi-agent workflows with collaboration or adversarial dynamics.
  • Maintain long-term memory across sessions for stateful AI agents.

Module 3: Automated Workflows & Prompt CI/CD Integration

  • Map prompt pipelines using BPMN-style flowcharts for enterprise tasks.
  • Integrate CI/CD tools to automate testing and prevent regression errors.
  • Implement prompt versioning with semantic tagging and rollback strategies.

Module 4: Governance Leadership & Ethical Frameworks

  • Draft AI ethics and governance charters for internal policy alignment.
  • Conduct postmortem analysis on AI incidents to inform continuous risk management.
  • Align prompt practices with global regulations (GDPR, HIPAA, FINRA).

Module 5: Enterprise Prompt Analytics & Feedback Loops

  • Build dashboards to monitor key KPIs like accuracy, latency, and satisfaction.
  • Analyze error heatmaps to identify weaknesses and prioritize fixes.
  • Track learning velocity to optimize prompt development efficiency.

Module 6: Cross-Domain Prompt Integration

  • Customize industry-specific prompt packs for systems like CRM or ERP.
  • Design operational runbooks to guide non-technical users.
  • Use plugin scaffold kits to build integrations with platforms like Slack and Teams.

Module 7: Human-AI Collaboration & Mentorship Design

  • Facilitate co-creation workflows with AI-human iterative loops.
  • Develop facilitator accreditation paths to train prompt engineers.
  • Conduct peer reviews using rubrics for prompt logic, ethics, and code.

Module 8: Research Sprints & Prompt Experimentation

  • Run innovation sprints to test new prompt paradigms and frameworks.
  • Explore meta-prompting techniques where AI improves its own output.
  • Contribute to open-source prompt repositories with structured documentation.

Module 9: Community Leadership & Inter-Org Challenges

  • Form internal prompt guilds and advisory circles for knowledge sharing.
  • Host inter-organizational challenges to foster prompt innovation.
  • Create case studies that evangelize AI success stories across departments.

Module 10: Capstone Design – End-to-End Autonomous Prompt System

  • Build multi-agent prompt systems with pseudo-API automation.
  • Integrate compliance guardrails, performance dashboards, and recovery paths.
  • Demonstrate functionality, robustness, and governance in a live presentation.

Module 11: Creative Storytelling & Domain-Specific Metaphors

  • Use metaphor prompts to explain complex topics across domains.
  • Combine audio, image, and text in storytelling frameworks.
  • Test for emotional resonance and clarity in AI-generated narratives.

Module 12: Agent Collaboration & Role-Based Escalation

  • Orchestrate prompt handoffs between agents and human reviewers.
  • Manage agent exit conditions and define escalation logic.
  • Run debates between agents with moderation and consensus resolution.

Module 13: Prompt Performance Monitoring & Linting Integration

  • Apply prompt linting rules to enforce clarity and safety.
  • Automate prompt quality checks within pipeline environments.
  • Resolve flagged issues and maintain compliance-ready libraries.

Module 14: Incident Postmortem & Red Teaming Simulation

  • Run red-team drills to expose vulnerabilities in prompts.
  • Conduct root cause analysis and ethical documentation of failures.
  • Recommend remediation paths and share findings with governance teams.

Module 15: AI Tutor Architecture & Adaptive Prompting

  • Design adaptive tutors that adjust challenge levels based on user performance.
  • Implement branching logic for reteaching or progression.
  • Analyze tutor impact using success metrics and reflection prompts.

Module 16: Regulatory Mapping & Compliance Enforcement

  • Map prompt categories to legal frameworks and guardrails.
  • Draft policy-aligned prompts for sensitive domains like finance and healthcare.
  • Simulate regulation-based failure scenarios and recovery.

Module 17: Multi-Turn Debate & Decision-Making Prompts

  • Run prompt-driven debates across roles like Risk Manager, Analyst, and Auditor.
  • Integrate summarization prompts to guide decision resolution.
  • Reflect on debate quality and AI reasoning consistency.

Module 18: Real-Time Collaboration Tools & Repositories

  • Use shared prompt repositories with tagging, versioning, and reviews.
  • Conduct prompt clinics to resolve complex issues collaboratively.
  • Ensure quality control and knowledge sharing through peer governance.

Module 19: Open-Source Contribution & Community Standards

  • Prepare prompts for public repositories with licensing and documentation.
  • Simulate pull requests and peer code review feedback.
  • Align with open-source etiquette and community contribution practices.

Module 20: Graduation, Peer Feedback & Master Black Belt Pathway

  • Present autonomous systems, ethics policies, and dashboards.
  • Receive feedback from expert panels and industry guests.
  • Explore transition to Master Black Belt, including pre-requisites and mentorship roles.

Assessment Task:

Title: Capstone Project – End-to-End Autonomous Prompt System
Synopsis: In the final capstone, participants will build and present a fully autonomous prompt system integrating multiple agents, automation flows, compliance safeguards, and performance dashboards.
Duration: 5 hours (within the final 6-hour block)

Requirements:

  • Coordinate at least three AI agents with role-specific behavior.
  • Automate tasks such as data ingestion, analysis, and reporting using prompt pipelines.
  • Integrate compliance checks, incident recovery systems, and real-time feedback.
  • Track performance metrics using dashboards and export analytics for portfolio inclusion.

Evaluation Criteria:

  • Functionality & Completeness (30%) – Agent interactions, flowchart coherence, system integration
  • Ethical Compliance (20%) – Safety measures, regulatory alignment, and guardrails
  • Innovation & Creativity (20%) – Originality, impact, storytelling, or technical novelty
  • Performance & Optimization (20%) – Robustness, recovery, dashboard insights
  • Collaboration & Presentation (10%) – Documentation, visual aids, peer contribution, and clarity

Expected Outcomes:

By the end of the Black Belt level, participants will:

  • Be able to independently design and deploy enterprise-level AI agent systems.
  • Lead prompt engineering teams in innovation, compliance, and research projects.
  • Build prompt CI/CD pipelines, dashboards, and governance structures.
  • Mentor and accredit future prompt engineers using institutional frameworks.
  • Be fully prepared for entry into the GN-CPE® Master Black Belt level, focusing on research, global leadership, and AI standardization.

The prerequisites for the Black Belt course generally include:

  • Completion of the Green Belt certification (or equivalent intermediate/advanced prompt engineering experience)
  • Strong proficiency in multi-turn dialogue design, multimodal prompting, and real-time AI interaction strategies
  • Experience with AI agent role customization and orchestration of automated prompt workflows
  • Familiarity with ethical red-teaming, bias audits, and compliance guardrails in AI prompt engineering
  • Demonstrated ability to collaborate on complex prompt projects and participate in peer review processes
  • Comfort with integrating prompt engineering into enterprise-scale systems and governance frameworks

 Price:

$1,650 / pax

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GreenoNetics® Certified Prompt Engineer (GN-CPE®) – Master Black Belt

Duration: 24 hours

Course Overview:

The GreenoNetics® Certified Prompt Engineer (GN-CPE®) – Master Black Belt course is the pinnacle of professional excellence in prompt engineering. It is tailored for elite practitioners who aspire to become thought leaders, researchers, and community builders in the AI ecosystem. This level empowers participants to drive original research, innovate new prompting paradigms, lead cross-functional teams, and advocate for global standards in ethical AI usage. With deep integration of advanced techniques, open-source leadership, and strategic foresight, participants will develop actionable roadmaps for AI community impact, cross-disciplinary innovation, and continuous R&D. The course culminates in a high-stakes innovation showcase that demonstrates each participant’s capability to lead at the forefront of the field.

Course Objectives:

  • Lead innovation sprints and experimental research in emerging prompting methodologies.
  • Master meta-prompting and self-improving loops for autonomous refinement systems.
  • Facilitate cross-domain application of prompt engineering through challenge-based innovation.
  • Create high-impact thought leadership, scholarly publications, and case studies.
  • Build and scale vibrant AI communities through mentorship, meetups, and Prompt Clinics.
  • Engage in global standardization and governance of ethical AI prompting practices.
  • Lead open-source prompt library contributions with CI/CD, moderation, and platform scaffolds.
  • Present future-oriented roadmaps and insights through a final innovation capstone.

Detailed Course Contents:

Module 1: Innovation Sprint & Research Methodologies

  • Conduct research sprints using rapid prototyping, analysis, and iteration tools.
  • Formulate hypotheses around novel prompting paradigms like meta-prompting and self-consistency.
  • Produce replicable research briefs and prepare findings for publication.

Module 2: Meta-Prompting & Self-Improvement Loops

  • Design critique-based prompts to enhance AI’s own outputs.
  • Apply self-consistency techniques to generate and synthesize multi-version responses.
  • Create automated feedback loops using few-shot templates and pipeline chaining.

Module 3: Cross-Disciplinary Innovation Labs

  • Adapt prompt techniques across diverse industries to drive cross-domain breakthroughs.
  • Facilitate innovation challenges using neutral problems and valuation frameworks.
  • Use stakeholder-driven briefs to ensure relevance and contextual fit.

Module 4: Thought Leadership & Publishing Strategies

  • Draft blog posts, white papers, and academic abstracts grounded in prompt experimentation.
  • Visualize technical workflows for publication and speaking engagements.
  • Showcase impact through ROI metrics and real-world success cases.

Module 5: Community Building & Mentorship Networks

  • Design online guilds, Prompt Clinics, and local meetups with structured charters.
  • Launch mentorship initiatives linking Master Black Belts to newer learners.
  • Deploy AI companion bots to support FAQs and bias audits within the community.

Module 6: Global Ethics & Standards Advocacy

  • Create ethics charters aligned to ISO, IEEE, and international data laws.
  • Role-play regulatory simulations to draft policy language collaboratively.
  • Lead standardization working groups and contribute to governance frameworks.

Module 7: Prompt Repository Governance & CI/CD Integration

  • Manage public repositories using semantic versioning and moderation workflows.
  • Integrate CI/CD pipelines for automated testing, linting, and regression control.
  • Establish contributor guidelines, peer review processes, and plugin integration.

Module 8: Capstone Showcase & Strategic Planning

  • Present innovation demos with measurable outcomes and real-world applications.
  • Develop strategic one-year roadmaps for R&D, community growth, and ethics initiatives.
  • Reflect on personal leadership and transition to Master Black Belt Trainer readiness.

Module 9: Self-Critique & Prompt Evaluation Strategies

  • Analyze outputs with scoring matrices, failure heatmaps, and consensus prompts.
  • Apply contrastive and chain-of-thought prompting to improve response logic.
  • Iterate based on prompt quality diagnostics and tracked revisions.

Module 10: Leadership Communication & Public Speaking

  • Develop effective storytelling techniques for technical and executive audiences.
  • Practice lightning talks, keynote outlines, and slide-based workflow presentations.
  • Refine delivery through expert feedback and structured rehearsal sessions.

Module 11: Facilitation & Workshop Design

  • Craft interactive prompt engineering workshops with real-time demos.
  • Train future facilitators using accreditation criteria and peer evaluation tools.
  • Design engagement strategies for live and virtual learning environments.

Module 12: R&D Portfolio Building & Analytics Export

  • Compile prompt artifacts, dashboards, and briefs into a leadership portfolio.
  • Track iteration velocity, model drift, and optimization performance.
  • Export standardized data for inclusion in performance reports and CVs.

Module 13: Institutional Policy Alignment

  • Map prompt systems to internal policies on security, privacy, and transparency.
  • Align with governance charters and conduct internal compliance reviews.
  • Recommend updates based on evolving regulatory requirements.

Module 14: Hackathon & Innovation Challenge Hosting

  • Plan and host challenge events with defined problem briefs and judging criteria.
  • Manage logistics, feedback loops, and resource allocation during events.
  • Evaluate submissions using AI-based valuation prompts and user impact metrics.

Module 15: Plugin Scaffold & Prompt Deployment Tools

  • Use scaffold kits to build and deploy prompt-driven Slack, Teams, or CRM integrations.
  • Ensure prompt portability and platform compatibility.
  • Configure triggers, responses, and fallback paths for enterprise use.

Module 16: Inter-Org Knowledge Exchange Initiatives

  • Initiate cross-organization collaborations and knowledge-sharing programs.
  • Coordinate shared research hubs, speaker panels, and prompt libraries.
  • Track joint innovation output and document shared value generation.

Module 17: Case Study Development & Dissemination

  • Extract insights from successful deployments and transform them into case narratives.
  • Showcase time/cost savings, user engagement, and qualitative impact.
  • Disseminate through internal and public-facing communication channels.

Module 18: Personal Branding & Industry Recognition

  • Develop online presence through articles, media interviews, and public showcases.
  • Contribute to industry panels and roundtables as prompt engineering experts.
  • Pursue awards, fellowships, and institutional recognitions.

Module 19: Strategic Alliances & Stakeholder Alignment

  • Identify potential partners in academia, industry, and governance.
  • Build memoranda of understanding for shared projects or communities.
  • Align stakeholder goals through consensus-building sessions.

Module 20: Professional Growth & Future Leadership Pathways

  • Create a personalized development plan post-certification.
  • Explore Master Black Belt Trainer accreditation and global influence roles.
  • Commit to lifelong learning and thought leadership contributions.

Assessment Task:

Title: Capstone Innovation Showcase & Future Roadmap
Synopsis:
Participants will present an original, high-impact innovation that integrates the principles of prompt engineering research, community leadership, governance alignment, and open-source contribution. They will also articulate a future-forward strategic plan that extends their work into the broader AI ecosystem.
Duration: 3 hours (final module)

Deliverables:

  • A 10-minute demo of a significant innovation (e.g., meta-prompting loop, open-source tool, governance framework)
  • A one-year strategic roadmap for impact in R&D, standards, or community building
  • A personal leadership reflection and development journal

Evaluation Criteria:

  • Innovation Depth (30%) – Originality, rigor, and applicability of the innovation
  • Strategic Foresight (25%) – Clarity and ambition of the future roadmap
  • Leadership Contribution (20%) – Impact on community, mentorship, and advocacy
  • Presentation & Communication (15%) – Effectiveness of storytelling and demo delivery
  • Reflection & Development (10%) – Insights, growth trajectory, and self-awareness

Expected Outcomes:

By the end of the Master Black Belt level, participants will:

  • Drive original research in prompt engineering and contribute to scholarly literature.
  • Lead standardization and ethics initiatives within AI organizations and consortia.
  • Build and govern scalable AI communities, Prompt Clinics, and mentorship networks.
  • Contribute high-quality artifacts to open-source libraries and prompt repositories.
  • Present compelling innovations and strategic plans for long-term AI leadership.
  • Be eligible to pursue the GN-CPE® Master Black Belt Trainer certification pathway.

The prerequisites for the Master Black Belt course typically are:

  • Successful completion of the Black Belt certification (or demonstrated expert-level skills in prompt engineering)
  • Proven experience leading complex, multi-agent AI prompt systems and automated workflows
  • Strong background in ethical governance, prompt analytics, and compliance at an enterprise scale
  • Active involvement in prompt engineering research, innovation sprints, or community leadership
  • Capability to design, evaluate, and publish advanced prompting methodologies and frameworks
  • Commitment to mentorship, training others, and advancing the prompt engineering discipline

 

Price:

$2,250 / pax

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GN-CPE® Master Black Belt Trainer

Track Title: Leadership, Global Influence & Standardization
Duration: 6–12 Months
Level: Master Black Belt – Trainer Track

Course Overview

This elite-level program prepares the most advanced prompt engineers to become global trainers, thought leaders, and standard-setters in the field. The journey integrates original research, pedagogy mastery, ethics governance, mentorship, and cross-disciplinary collaboration—culminating in a capstone project with measurable impact and global visibility.

Course Objectives

By the end of this journey, participants will be able to:

  • Conduct original prompt engineering research and publish findings.
  • Deliver world-class workshops using inclusive instructional design.
  • Mentor, coach, and build active learner communities.
  • Lead ethics governance and standardization initiatives.
  • Facilitate cross-disciplinary innovation and open-source collaboration.
  • Execute an enterprise-level capstone that drives industry transformation.

20 Modules (Summarized from 6.1 to 6.8)

1. Framing Research in Prompt Engineering

  • Define open research questions in prompt engineering.
  • Design experiments using hypotheses, metrics, and iterative refinement.
  • Publish findings via internal white papers and conference abstracts.

2. Running Research Sprints

  • Use Research Sprint Toolkit (E76) and contrastive prompting (E40).
  • Evaluate prompts for self-consistency and reliability.
  • Submit sprint reports and present findings.

3. Designing World-Class Workshops

  • Apply adult learning principles: microlearning, scaffolding, UDL.
  • Craft inclusive, high-impact workshops with Think Aloud demos (E19).
  • Complete facilitator accreditation via co-teaching and feedback.

4. Inclusive Curriculum & Delivery

  • Conduct a Universal Design audit on existing modules.
  • Design materials: labs, decks, facilitator notes.
  • Lead a live White Belt workshop pilot and pass accreditation.

5. Structuring Mentorship Programs

  • Launch mentorship models blending human and AI feedback (E11, E82).
  • Conduct Prompt Clinics to solve live challenges.
  • Track mentee progress and publish a mentorship impact report.

6. Leading Learner Communities

  • Set up governance rules for community platforms (Slack/Discord).
  • Facilitate peer problem-solving and feedback loops.
  • Launch and manage an Alumni Advisory Circle.

7. Building Governance & Ethics Charters

  • Draft cross-jurisdictional Ethics & Governance Charters (E60).
  • Map prompts to global regulatory frameworks (GDPR, HIPAA, ISO).
  • Conduct policy simulations and ethics wargames.

8. Regulatory & Compliance Mapping

  • Run workshops to align prompt templates with compliance tags.
  • Role-play with legal and compliance teams for policy agreement.
  • Submit charter drafts to ethics consortiums.

9. Fostering Cross-Disciplinary Innovation

  • Run innovation labs that unite research, business, and design.
  • Guide inter-org hackathons on real-world AI challenges.
  • Evaluate ideas using AI scoring prompts (E83).

10. Running Hackathons & Labs

  • Organize Cross-Domain Labs and publish challenge briefs.
  • Implement judging frameworks and idea valuation sprints.
  • Document and share a playbook for repeatable innovation labs.

11. Open-Source Leadership

  • Establish public prompt template libraries and plugin kits (E88, E99).
  • Define licensing, governance, and moderation workflows.
  • Enable community onboarding and contribution via webinars.

12. Publishing Shared Libraries

  • Launch repositories with semantic versioning and CI guardrails.
  • Publish scaffold kits for Slack, CRMs, and other platforms.
  • Host contributor onboarding and review community PRs.

13. Capstone Planning

  • Select an enterprise challenge aligned with business goals.
  • Submit a charter outlining scope, metrics, and governance plans.
  • Align resources and stakeholder expectations.

14. Solution Implementation

  • Build and integrate a prompt solution with analytics and governance.
  • Run audits for bias, compliance, and performance drift.
  • Test and refine output quality across iterations.

15. ROI Reporting

  • Use analytics dashboards to capture impact (E34).
  • Quantify cost/time savings and reduced error rates.
  • Generate an executive-facing ROI report.

16. Industry Showcase

  • Deliver a high-impact presentation to sponsors or external audience.
  • Publish a Success Case Spotlight (E91).
  • Earn recognition through gamified leaderboards (E89).

17. Lifelong Learning & Thought Leadership

  • Subscribe to AI research feeds and industry forums.
  • Present “Prompt of the Month” talks to the community.
  • Transition into mentoring future cohorts.

18. Publishing & Influence

  • Author white papers, blog series, or industry thought pieces.
  • Speak at global AI events and conferences.
  • Contribute to prompt engineering consortiums.

19. Standards Engagement

  • Collaborate with ISO, IEEE, and national AI councils.
  • Participate in drafting international standards.
  • Advocate prompt safety and transparency protocols globally.

20. Platform Governance & IP Stewardship

  • Define licensing models, contributor agreements, and IP rights.
  • Establish moderation, escalation, and quality review processes.
  • Maintain healthy, scalable ecosystems for prompt innovation.

Certification Assessment

Final Capstone Project
Participants will design and deliver a real-world, enterprise-level prompt engineering solution that demonstrates:

  • Research excellence and publication.
  • Facilitator accreditation and workshop leadership.
  • Ethics alignment and regulatory compliance.
  • Innovation, community impact, and open-source contributions.
  • Clear ROI with data-backed results.
  • Presentation at a public showcase or internal executive review.

Expected Outcomes

Graduates will have:

  • Conducted and published original research.
  • Earned facilitator credentials and led multiple global workshops.
  • Mentored cohorts and led active learning communities.
  • Drafted and submitted ethics charters for industry adoption.
  • Managed open-source prompt libraries.
  • Led cross-disciplinary innovation labs.
  • Executed a capstone with measurable industry impact.
  • Become global ambassadors shaping the future of prompt engineering.

The prerequisites for Master Black Belt Trainer typically include:

  • Completion of the Master Black Belt certification with demonstrated mastery in advanced prompt engineering concepts and leadership.
  • Extensive experience delivering training and facilitating workshops at various belt levels (White through Master Black Belt).
  • Proven skills in curriculum development, instructional design, and adult learning methodologies.
  • Strong track record of mentoring and coaching prompt engineers and fostering professional growth.
  • Deep understanding of ethical governance, enterprise prompt management, and innovation pipelines.
  • Ability to lead community engagement, certification programs, and continuous improvement initiatives.

 Pricing

Please contact us for more information (includes all materials, labs, analytics suite access, certification, and capstone support)

 

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Certificate of GreenoNetics® Certified Prompt Engineer (GN-CPE®)

Button Badge & Lapel badge of GreenoNetics® Certified Prompt Engineer (GN-CPE®)

Our Graduates
Testimonial of Our Graduates
"I struggled to get the specific answers I needed. After attending this program, I feel much more comfortable using ChatGPT. Now, I can organize my plans in just five minutes! It's a powerful, practical, and informative experience. Highly recommend!"
Bryant
BryantFounder of Talent Pro Consulting
"This training transformed my ability to create proposals efficiently. What used to take an hour now only takes 20 minutes. It gave me valuable insights into decision-making, helping me leverage AI tools for smarter, faster, and more effective work"
Nadia
NadiaSenior Associate, Development and Rewards at Touch n Go Sdn Bhd
"I had challenges with ChatGPT not generating the results I wanted. After the training, I’ve learned how to use the right words to achieve better results. I’d highly recommend others join this program to gain in-depth knowledge on becoming more proficient with ChatGPT."
Alice Tan
Alice TanHead of Certificate in Visual Communication at Dasein Academy of Arts
"Before, I didn’t realize how specific prompts could be tailored to different audiences. After the training, I can now convey our messages much more effectively, ensuring the content captures the attention of various audiences.
Chin Wee Yin
Chin Wee YinHead of Facilities Management at U Mobile Sdn Bhd
"I struggled to get the specific answers I needed. After attending this program, I feel much more comfortable using ChatGPT. Now, I can organize my plans in just five minutes! It's a powerful, practical, and informative experience. Highly recommend!"
Bryant
BryantFounder of Talent Pro Consulting
"This training transformed my ability to create proposals efficiently. What used to take an hour now only takes 20 minutes. It gave me valuable insights into decision-making, helping me leverage AI tools for smarter, faster, and more effective work"
Nadia
NadiaSenior Associate, Development and Rewards at Touch n Go Sdn Bhd
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Central Malaysia

Ekocheras - (GN-CPE®) - White Belt (1 Day)

Title: Transforming People Management by Using Generative AI

Date: 12 November 2024 (Tuesday)

Venue: Quandatics Academy Ekocheras

Time: 9 am - 5 pm

Ekocheras - (GN-CPE®) - Yellow Belt (2 Days)

Title: Resilience in HRM: Empowering Self, Team, and Organization with Generative AI for Sustainable Workforce Management

Date: 13-14 November 2024 (Wednesday & Thursday)

Venue: Quandatics Academy Ekocheras

Time: 9 am - 5 pm

Northern Malaysia

Penang - (GN-CPE®) - White Belt (1 Day)

Title: Transforming People Management by Using Generative AI

Date: 18 November 2024 (Monday)

Venue: GreenoNetics Bayan Lepas

Time: 9 am - 5 pm

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Please note that once you have chosen a GreenoNetics’ HRDC TP partner, your company account will be managed by them exclusively. They will act as our key account partner to service you.

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Additionally, in the event that either party wishes to terminate the engagement, a notice period of 30 days shall be provided in writing. During this notice period, both parties agree to cooperate in good faith to ensure a smooth transition of services.

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