Understanding AI: From Basics to Agentic AI in Programming
1 enrolled
12 lessons
What you'll learn
- Introduction: AI vs Machine Learning vs Generative AI
- Demystifying LLMs: What is a Large Language Model?
- Tokens and Context Windows: How Language Models Understand Text
- Mastering Prompts and System Prompts for Effective AI Interaction
- Exploring Temperature and Model Parameters: Controlling AI Creativity
- Understanding Hallucinations in AI and How to Handle Them
- Structured Output: Generating JSON and Organized Data
- Agentic AI Explained: Beyond Traditional AI Systems
- Distinguishing AI Chatbots, Assistants, and Agents
- Comparing AI Agents with Traditional Software Architecture
+ 2 more topics
About this course
Explore the fundamental concepts of AI, machine learning, and generative AI with a guided approach. Learn about large language models (LLMs), tokens, context windows, prompts, model parameters, and how agentic AI differs from traditional software. This course uses interactive lessons and gamified elements to build a strong foundation for beginners to intermediate programmers aiming to leverage AI in real-world applications.
Curriculum
- 1 Introduction: AI vs Machine Learning vs Generative AI Quiz
- 2 Demystifying LLMs: What is a Large Language Model? Quiz
- 3 Tokens and Context Windows: How Language Models Understand Text Quiz
- 4 Mastering Prompts and System Prompts for Effective AI Interaction Quiz
- 5 Exploring Temperature and Model Parameters: Controlling AI Creativity Quiz
- 6 Understanding Hallucinations in AI and How to Handle Them Quiz
- 7 Structured Output: Generating JSON and Organized Data Quiz
- 8 Agentic AI Explained: Beyond Traditional AI Systems Quiz
- 9 Distinguishing AI Chatbots, Assistants, and Agents Quiz
- 10 Comparing AI Agents with Traditional Software Architecture Quiz
- 11 The Agent Loop: Observe → Think → Act → Observe in Practice Quiz
- 12 Real-World Agentic AI Use Cases and Programming Applications Quiz