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PART I: Introduction to AI and ML
Curriculum
2 Sections
14 Lessons
10 Weeks
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Chapter 1: Basic AI Concepts and Terminology
8
1.1
A Brief History of AI
10 mins
1.2
Diving Deeper into Terms You Should Know
10 mins
1.3
The Relationship Among AI, ML, and Deep Learning
10 mins
1.4
Understanding Data Types in AI Models
10 mins
1.5
Making Predictions Using Trained Models
10 mins
1.6
Summary
10 mins
1.7
Exam Essentials
10 mins
1.8
Review Questions
10 mins
Chapter 2: Basic Concepts of Generative AI
6
2.1
A New Way to Interact with AI
10 mins
2.2
From Text to Numbers: Tokens, Chunking, and Embeddings
10 mins
2.3
The Transformer Architecture and Foundation Models
10 mins
2.4
Beyond Text: Multi-modal Models
10 mins
2.5
Prompt Engineering
10 mins
2.6
The Upsides and Downsides of Gen AI
10 mins
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