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Generative AI Foundations: The Complete Study and Practical Guide
Domain 1: Generative AI Methods and Methodologies
Lesson 1 — Understanding Artificial Intelligence
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Lesson 1 — Understanding Artificial Intelligence
1 Topic
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2 Quizzes
1.1. Understanding Artificial Intelligence
Types of AI
Generative AI vs. Search Engine
Lesson 2 — Core Types of AI
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Lesson 2 — Core Types of AI
4 Quizzes
Generative AI Model Training
Large Language Models (LLMs)
Image-Based Model Training
Processing Requirements for AI Models
Lesson 3 — The Technology Behind Generative AI
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Lesson 3 — The Technology Behind Generative AI
2 Quizzes
Types of Generative AI Models
Generative AI Key Terms
Lesson 4 — How AI Models are Trained
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Lesson 4 — How AI Models are Trained
2 Quizzes
Inputs and Outputs
Self-Contained Applications
Lesson 5 — A survey of Common Generative AI Tools
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Lesson 5 — A survey of Common Generative AI Tools
1 Quiz
Understand Common Generative AI Tools
Lesson 6 — Key Limitations and Considerations
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Lesson 6 — Key Limitations and Considerations
2 Quizzes
Limitations of Generative AI
More Limitations of Generative AI
Domain 2: Basic Prompt Engineering – From Text to Video
Lesson 1— Identifying Prompts
Lesson 2 — Prompts To Transform Content
Lesson 3— Image Related Prompts
Lesson 4— Video Related Prompts
Domain 3: Prompt Refinement
Lesson 1— Improving Prompts
Lesson 2— Adding inputs to Prompts
Lesson 3— Common Techniques and Reverse Prompting Techniques
Lesson 4 — Verifying Accuracy
DOMAIN 4 ETHICS, LAW, AND SOCIETAL IMPACT
Lesson 1 — Identifying Potential for Bias
Lesson 2 — Potential Legal Implications
Lesson 3 — The Importance of Data Privacy
Lesson 4 — Risks and Mitigation of Generative AI
Lesson 5 — Societal Impacts of Generative AI
Generative AI Foundations Exam 1
Previous Quiz
Self-Contained Applications
Generative AI Foundations: The Complete Study and Practical Guide
Lesson 4 — How AI Models are Trained
Self-Contained Applications
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