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Course Overview

Course Content

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.



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