AI Explorers

AI and Python Programming Curriculum

Module 1: PYTHON PROGRAMMING

Topics Covered:

• Introduction
• Basic Syntax
• Comments
• String Values
• String Operations
• The format Method
• String Slices
• String Operators
• Numeric Data Types
• Conversions
• Simple Input and Output
• The print Function

Module 2: LANGUAGE COMPONENTS

Topics Covered:

• Introduction
• Control Flow and Syntax
• Indenting
• The if Statement
• Relational Operators
• Logical Operators
• True or False
• Bit Wise Operators
• The while Loop
• break and continue
• The for Loop

Module 3: Introduction to AI

Topics Covered:

• What is AI?
• History and evolution of AI
• Real-world applications of AI

Activity: Brainstorm and discuss how AI is used in everyday life.

Module 4: Understanding Data

Topics Covered:

• Importance of data in AI
• Types of data: structured vs. unstructured
• Introduction to data collection methods

Activity: Collect and analyze a simple dataset.

Module 5: Algorithms and Problem Solving

Topics Covered:

• What is an algorithm?
• Introduction to problem-solving with algorithms
• Basic programming concepts (pseudocode)

Activity: Write a simple algorithm to solve a problem.

Module 6: Machine Learning Basics

Topics Covered:

• What is machine learning?
• Types of machine learning: supervised, unsupervised, reinforcement

Activity: Explore a basic machine learning tool (like Teachable Machine) to create a simple model.

Module 7: Neural Networks

Topics Covered:

• Introduction to neural networks and how they work
• Basic concepts of training a neural network

Activity: Visualize (TensorFlow) a simple neural network model using online tools.

Module 8: AI in Image

Topics Covered:

• Overview of robotics and AI
• Examples of AI in Camera (e.g., self-driving cars, drones)

Activity: Build a simple Camera.

Module 9: Ethical Considerations

Topics Covered:

• Ethics in AI: bias, privacy, and security
• Discussions on responsible AI use

Activity: Discussion on recent news story involving AI ethics.

Module 10: Natural Language Processing (NLP)

Topics Covered:

• What is NLP and how it works
• Applications of NLP (chatbots, translators)

Activity: Create a simple chatbot.

Module 11: AI in Art and Creativity

Topics Covered:

• Exploring AI-generated art and music
• How AI can enhance creative processes

Activity: Use an AI tool to create art based on prompts.

Module 12: Future of AI and Project Presentations

Topics Covered:

• Discuss the future trends in AI
• Career opportunities in AI

Activity: Students present a project that incorporates what they've learned.