Guided Learning Pathways

Structured Course Design for Seamless Progression and Mastery

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Course Structure Overview

Modules:

Grades 3-5 Module:

AI using block-based programming

Grades 6-9 Module:

AI using Python programming

Grades 11-12: Advance

IoT, Drone, Design etc

Programme Duration:

Each level is 80 hr theory + 80 hr practical

Session Duration:

Each session: 1 hour

Levels:

- Beginner

- Intermediate

- Advanced

Project Structure:

Main Projects:

4+ per level

Mini Projects:

7+ per level

After-class Activities:

Extensive activities to reinforce learning

Teaching Approach:

- Instructor Presence: Expert instructors physically present in the classroom

- Hands on learning: Interactive sessions for active engagement

Progression Path:

Students progress from beginner to advanced within each Module based on grade level, earning certifications upon completing each level.

AI+ Block Based Programming

Beginner Level

Key Learnings

  • Introduction to AI
  • Machine Learning Fundamentals
  • Data Representation
  • Pattern Recognition and Loops
  • Sketch Recognition
  • Real-Life AI Applications
  • Music Creation with ML
  • Pose Recognition for Animation
  • Interactive Videos with AI
  • AI Ethics and Bias
  • Number Recognition
  • Social Impact of AI
  • Supervised Learning

Achievements

  • Data Manipulation Skills
  • Algorithm Development
  • Project Implementation
  • Ethical Understanding
  • Real-World Applications
  • Implementation of Final Projects

Intermediate Level

Key Learnings

  • AI Fundamentals
  • Programming Basics
  • Algorithm Understanding
  • Programming Structures
  • Data Handling
  • AI Applications
  • Specialized Topics
  • Machine Learning Basics
  • Advanced AI
  • Ethical Consideration

Achievements

  • Foundational AI Skills
  • Proficiency in Block Programming
  • Algorithmic Thinking
  • Project-Based Learning
  • Real-World Applications
  • Ethical Awareness
  • Comprehensive Skill Set
  • Implementation of Final Projects

Advanced Level

Key Learnings

  • Advanced AI Concepts
  • Complex Block Programming
  • Advanced Algorithms
  • Sequencing Mastery
  • Advanced Loop Structures
  • Multi-Level Conditionals
  • Event-Driven Programming
  • Advanced Data Handling
  • Machine Learning Fundamentals
  • AI Applications in Creative Projects Across Various Domains
  • Sensor Integration
  • Advanced Robotics and Data Analysis
  • Ethical Considerations

Achievements

  • Expertise in Advanced AI
  • Proficiency in Complex Programming
  • Algorithmic Thinking
  • Advanced Project Development
  • Ethical AI Practice
  • Preparation for Advanced Studies
  • Implementation of Final Projects

AI+ Python Programming

Beginner Level

Key Learnings

  • Introduction to Python
  • Conditional Statements
  • Variable Handling
  • AI and Social Impact
  • Practical Projects
  • Loop Structures
  • Functions in Python
  • Data Structures
  • AI Ethics and Bias
  • Machine Learning Projects

Achievements

  • Foundational Python Skills
  • Problem-Solving Skills
  • Introduction to AI and ML
  • Project Development
  • Understanding Data Structures
  • Ethical Awareness
  • Introduction to Machine Learning
  • Preparation for Advanced Studies
  • Implementation of Final Projects

Intermediate Level

Key Learnings

  • Foundations of AI
  • Introduction to Machine Learning
  • Data Representation in Python
  • Creative Problem-Solving
  • Pattern Recognition and Loops
  • Mathematics for AI
  • AI in Entertainment, Creativity and Robotics
  • Advanced AI Concepts
  • AI Ethics and Bias
  • Natural Language Processing (NLP) & Computer Vision
  • Reinforcement Learning Basics
  • Coding Concepts
  • AI Applications

Achievements

  • Foundational AI Skills
  • Advanced AI Foundation
  • Data handling Proficiency
  • Problem-Solving Skills
  • AI Applications Awareness
  • Ethical Awareness
  • Machine Learning Exploration
  • Coding proficiency
  • Implementation of Final Projects

Advanced Level

Key Learnings

  • Python Advance Concepts
  • Control Structures
  • Functions and Modules
  • Data Structures
  • Advanced AI Concepts and Domain Applications
  • Data Collection and Cleaning
  • Machine Learning and Deep Learning
  • Data Visualization
  • Neural Networks & Natural language Processing (NLP)
  • Sentiment Analysis
  • Data Science Projects
  • Advanced Python Libraries
  • Time Series Analysis
  • Convolutional Neural Networks (CNNs)

Achievements

  • Python Proficiency
  • Data Handling Skills
  • Machine Learning Expertise
  • Advanced AI Applications
  • Ethical Awareness
  • Real-World Application
  • Implementation of Final Projects
  • Future Readiness

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