PART 1

1 CGENAI™ Code of Ethics

1.1 Fundamentals of Ethics
1.2 GenAI Ethics
1.3 Ethical Commitments

2 CGENAI™ Code of Conduct

2.1 Professional Conduct
2.2 Security, Confidentiality, & Privacy
2.3 Work Standards
2.4 Responsibility to Self
2.5 Responsibility to Clients
2.6 Responsibility to Stakeholders
2.7 Responsibility to Society
2.8 Responsibility to the Profession

3 CGENAI™ Legal & Regulatory Standards

3.1 European Union AI Act
3.2 Initiatives in the United States
3.3 Data Privacy & Protection
3.4 Intellectual Property
3.5 Consumer Protection

4 CGENAI™ Privacy Protection Standards

4.1 Unintentional Data Exposure
4.2 Data Leaks through Model Outputs
4.3 Personal Privacy in the GenAI Landscape
4.4 Organizational Privacy in the GenAI landscape

5 GenAI and Society

5.1 Economic Impact
5.2 Social Impact
5.3 Environmental Impact
5.4 Political and Security Impact
5.5 Education and Research Impact
5.6 Communications and Media Impact

PART 2

6 Introduction to Prompt Engineering

6.1 Explain: What is a Prompt Engineer?
6.2 Describe Prompt Engineer Skills and Profession
6.3 Explain Prompt Engineer's Business Leader Status
6.4 Describe Prompt Engineer Process
6.5 Leveraging Prompt Engineering for New Business Models and Entrepreneurship

7 Significance of the AI Revolution

7.1 Identify what is the AI Transformation.
7.2 Recognize the importance of the AI Era
7.3 Describe the Strategic Imperative of AI
7.4 Determine how the AI revolution has changed work and requires reskilling

8 What is AI?

8.1 Describe and explain what AI is and then design and assemble a business centered definition of AI that you can use and apply
8.2 Fur vs. Fire Model
8.3 Two-Dimensional Work Canvas
8.4 Three Generations of Automation
8.5 Defining Artificial Intelligence
8.6 The SADAL Model

PART 3

9 Introduction to GenAI

9.1 Describe and explain Generative AI
9.2 Identify Generative AI applications
9.3 Describe the difference between GenAI and non-GenAI intelligent systems
9.4 Recognize multimodal GenAI

10 Ten Principles of GenAI Engineering and Management

10.1 Principle of AI Dynamics
10.2 Principle of GenAI Domain
10.3 Principle of Multiplicity
10.4 Principle of Scientific Rigor
10.5 Principle of Multidimensional Value and Risk
10.6 Principle of Strategic Singularity
10.7 Principle of Lifecycle and Architecture
10.8 Principle of Adaptability and Agility
10.9 Principle of Knowledge Theory
10.10 Principle of Ethical Necessity and Total Costs

11 What are LLMs?

11.1 LLMs
11.2 How are LLMs Trained
11.3 Introduction to Transformer Architecture
11.4 How to build an LLM?
11.5 Difference between search engines and LLM
11.6 Open-source vs. Proprietary Models
11.7 How to assess a model?

12 What are chatbots?

12.1 How do chatbots work?
12.2 Applications of chatbots
12.3 Challenges and Considerations
12.4 Think multimodal
12.5 Evolution of chatbots

13 Prompt Engineering Techniques

13.1 Define prompt engineering
13.2 Explain the attributes of effective prompts
13.3 Explain the attributes of useful and relevant responses
13.4 Describe and Recall Baseline Prompt Structure
13.5 Explain: Why prompts matter?
13.6 List and identify Question Framing Techniques
13.7 Relate and Describe the Relationship between Inputs and Outputs
13.8 Identify Prompts and User Roles
13.9 Recognize Prompt Patterns
13.10 Describe Some Simple Ways to Interact with LLMs
13.11 Describe and Identify Formal Categories of Prompts
13.12 Explain and Identify Additional Types of Prompts

PART 4

14 Prompt Engineering Management

14.1 Management of PE
14.2 Three areas to master in PEM (Value Creation, GenAI Requirements, GenAI Project Management)
14.3 GenAI Management Framework (Intermediate)
14.4 Value Creation by AI Systems
14.5 Crafting a Comprehensive AI Automation Strategy for Enterprises
14.6 AI Centered Automation Approaches
14.7 The Requirements Gathering Process Introduction
14.8 Step 1: Preparation for Meeting with Stakeholders
14.9 Step 2: Kickoff Meeting Protocol
14.10 Step 3: Requirements Gathering Session
14.11 Questions and Idea Generation Workshop
14.12 Six Value Drivers of AI for Process Automation
14.13 Step 4 Analysis of Information Collection
14.14 Step 5: Comprehensive Approach to AI Solutioning and Solution Mapping (Feasibility)
14.15 Step 6: Feedback and Validation
14.16 Step 7: Prioritization and Road mapping
14.17 Step 8: Documentation
14.18 Step 9: Follow-up, Communications, and Change management
14.19 Resource Allocation
14.20 GenAI Development Plan
14.21 Use Case Clarity
14.22 Ethics and Governance (Risk Assessment)
14.23 LLM Strategy
14.24 GenAI Techniques
14.25 Application Development

PART 5

15 Advanced Prompt Engineering Topics

15.1 Describe Basic vs. Advanced Prompting
15.2 Determine Objectives for Basic and Advanced Prompts
15.3 Explain Advanced Prompt Design
15.4 Describe Contextual Prompts
15.5 Describe Conditional Prompts
15.6 Explain Prompting for Specificity and Detail
15.7 Describe Interactive and Dynamic Prompting
15.8 Contrast Zero Shot, One Shot, and Few Shot Prompting
15.9 Describe Chain of Thought
15.10 Describe Tree of Thought
15.11 Describe Graph of Thought
15.12 Domain Specific Prompting

16 Intro to Retrieval Augmented Generation

16.1 RAG Intro

Intro to Fine-Tuning

17.1 Fine-tuning Intro

PART 6

Advanced GenAI Topics

18.1 Machine Learning Concepts
18.2 Multimodal GenAI
18.3 Small Language Models
18.4 Fine-tuning
18.5 Retrieval Augmented Generation
18.6 Types of AI Systems
18.7 Solution Chaining

19 GenAI Strategy

19.1 Competitive Strategy of GenAI
19.2 GenAI Transformation Strategy
19.3 GenAI Transformation Planning
19.4 International Competition and GenAI
19.5 Enterprise Program Management for GenAI
19.6 Advanced Strategy Concepts
19.7 Financial Value Calculation
19.8 Tech Growth & Evolution Management

Part 8

20 GenAI Organizational Leadership

20.1 Organization Planning for GenAI
20.2 Leadership Development
20.3 Advanced Ethics Concepts
20.4 Advanced Governance Concepts
20.5 Advanced Communications
20.6 Enterprise Change Management