American Institute of Artificial Intelligence
CGENAI™ Exam Overview
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CGENAI™ Program Exam Information
Welcome to the CGENAI™ Professional Certification Program. Our exams are conveniently offered online, enabling access to participants globally (with the exception of prohibited countries). Here you'll find key information to help you navigate the scheduling and testing process effectively.
Scheduling Your Exam
- Exam Scheduling: Once you become a member of the American Institute of Artificial Intelligence, you will gain access to an exclusive online web portal and dashboard. Here you can purchase and access both the CGENAI™ Body of Knowledge and the CGENAI™ exam itself. Once you have purchased the CGENAI™ exam you can conveniently start the exam whenever you want.
- Registration:To register for the CGENAI™ exam, you must first become a member of the American Institute of Artificial Intelligence. If you are already a member, you can log in to your membership web portal. Through the web portal you will be able to purchase both exam materials and access to the exam itself. The web portal also functions as the testing environment for your exam.
- Attempt Limits and Purchasing More Attempts: When you purchase the CGENAI™ exam, you are given two attempts to pass the exam. If you fail both attempts, you will have to purchase future attempts. Your previous scores are kept; however, you will not be able to access any previous answers.
- Start Time: We recommend logging in 15 minutes prior to the time you wish to start your exam attempt to ensure a smooth start.
- Security Measures: Keep your camera on during the exam to maintain test integrity. This is mandatory and monitored.
- Disruptions: Use a stable internet connection to avoid interruptions. In case of internet issues on your end or software disruptions from AIAI's side, you will have the option to restart your test once the system stabilizes.
- Breaks: You are allowed up to two unscheduled breaks; however, the testing time will continue to run. Access to mobile phones or other electronic devices is strictly prohibited during the exam.
- ID Verification: You must present a valid ID before starting the exam to verify your identity.
- Time: You are allocated 2 hours to finish the exam. The timer starts when you start your attempt. Upon completion of the two hour time limit, your exam will be automatically submitted. If you attempt to exit the exam, your timer will continue to run.
- Compliance: Exam day procedures may vary slightly due to local requirements, but all candidates must adhere to the instructions provided. Failure to comply will result in forfeiture of a candidate's exam attempt.
Exam Overview
The CGENAI™ certification exam is broken into two levels. The CGENAI™ Bodies of Knowledge, for Level 1 and Level 2 are available to purchase for members of the American Institute of Artificial Intelligence.
CGENAI™ Level 1 Curriculum
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 17 Intro to Fine-Tuning 17.1 Fine-tuning Intro
CGENAI™ Level 2 Curriculum
PART 6 18 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 PART 7 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