AI Explorers

Created by Aptech Computer Training

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.