AI Explorers
Online
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.
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.