Introduction
Introduction to artificial intelligence
()
1. Exploring the Fundamentals of AI
Uncover AI's past
()
Distinguish types of AI
()
Explore AI applications
()
2. Laying the Groundwork for AI Programming
Choose your language
()
Discover AI libraries
()
Grasp basic AI concepts
()
3. Implementing AI Solutions with Python
Set up your AI environment
()
Build your first machine learning model
()
Create a neural network
()
Dive into computer vision
()
Explore generative AI
()
Challenge: Build your first machine learning model
()
Solution: Build your first machine learning model
()
4. Evaluating and Interpreting AI Models
Evaluate model performance
()
Address bias and ethics
()
Challenge: Evaluate model performance
()
Solution: Evaluate model performance
()
5. Adapting to AI-Driven Programming Paradigms
Embrace an AI-first approach
()
Prepare for the AI future
()
Conclusion
Your AI journey
()
Ex_Files_Programming_Foundations_AI.zip
(35 KB)