Python Advanced Cloud AI, MediaPipe

What you'll learn

• Understand cloud computing and run Python in the cloud using Google Colab
• Work with notebook-based coding (cells, outputs, explanations)
• Use MediaPipe for real-time AI applications (hand, face, pose tracking)
• Understand how pre-trained AI models work
• Build interactive AI-based systems using webcam input
• Plan and develop a complete capstone project
• Combine multiple Python libraries into one application
• Present and demonstrate a full working AI project

This course includes:

• 1 Major Capstone Project
• 6 Hours Live Classes (4 Sessions)
• Online / Onsite (Physical)
• Pre-built AI Notebooks & Models
• Project Planning Templates
• Certificate of Completion (Graduation Level)

Course Content

Session 1 — Google Colab: Running AI in the Cloud

Duration: 90 Minutes

Topics Covered:
• What is Cloud Computing?
• Introduction to Google Colab
• Notebook Interface (Text Cells & Code Cells)
• Running Python in the Cloud
• Introduction to Neural Network Concepts

Key Learning Objectives:
• Understand cloud-based computing
• Run Python programs without installation
• Learn notebook-based workflows
• Observe AI training process

Activities:
• Open Google Colab
• Run: print("Hello from Google’s computer!")
• Execute pre-built AI notebook
• Observe accuracy improving over epochs
• Discuss how AI learns step-by-step

Session 2 — MediaPipe: Hand Tracking AI

Duration: 90 Minutes

Topics Covered:
• Installing MediaPipe
• Introduction to Pre-trained AI Models
• Hand Landmark Detection (21 Points)
• Real-Time Tracking using Webcam
• Gesture Recognition Basics

Key Learning Objectives:
• Understand real-time AI processing
• Use pre-trained AI without training
• Track hand movements
• Build gesture-based applications

Activities:
• Run hand tracking on webcam
• Detect and display 21 hand landmarks
• Track both hands simultaneously
• Build “Finger Counter” application
• Display number of fingers on screen

Session 3 — MediaPipe Face, Pose & Capstone Planning

Duration: 90 Minutes

Topics Covered:
• Face Mesh Detection (468 Points)
• Pose Detection (Full Body Tracking)
• Real-world Applications (Games, AR, Fitness Apps)
• Capstone Project Planning

Key Learning Objectives:
• Understand advanced AI tracking systems
• Apply multiple AI models
• Plan a complete software project
• Select tools and features strategically

Activities:
• Run face mesh detection
• Run pose detection
• Visualize skeleton tracking
• Fill project planning sheet:

• Project name 
• Features 
• Libraries used
• Teacher review and approval 

Session 4 — Capstone Build, Demo & Graduation

Duration: 90 Minutes

Topics Covered:
• Project Development & Integration
• Debugging and Final Improvements
• Presentation Skills
• Reflection on Learning Journey

Key Learning Objectives:
• Build a complete working application
• Combine multiple technologies
• Present technical work confidently
• Reflect on growth and achievements

Activities:
• 30-minute final build session
• 3–5 minute student presentations
• Live demo of projects
• Class voting for awards:

• Most Creative Project 
• Best Technical Implementation 
• Most Useful Application 
• Best Design 
• Audience Favourite
  • Graduation ceremony & certificates 

Practice Projects for Real-World Skills

• Hand Tracking System
• Finger Counter Application
• Face & Pose Detection Demo
• Final Capstone Project (AI Application)

Requirements

• Completion of Python Advanced Modules 1 & 2
• Strong Python programming skills
• Laptop/PC with webcam
• Internet access for cloud tools

Description

This final module brings together everything students have learned throughout the Python program. It introduces cloud-based AI using Google Colab and advanced real-time AI applications using MediaPipe.

Students will then design and build their own capstone project, combining multiple technologies into one complete application. This module represents the transition from learning programming to building real-world intelligent systems.

Why Choose This Course?

• Learn Cutting-Edge AI Tools
• Build Real-World Projects
• Experience Cloud Computing
• Hands-On Capstone Development
• Graduation-Level Achievement

Activities During Class

• Running AI models in the cloud
• Tracking hands, faces, and body movements
• Designing real-world applications
• Building and presenting final project
• Participating in demo and evaluation

Who Is This Course For?

• Students who completed Python Advanced Level
• Learners interested in AI and real-world applications
• Students ready for project-based learning
• Future developers and innovators

Course Highlights

• Advanced AI & Computer Vision
• Cloud + Real-Time Applications
• Final Capstone Project
• Presentation & Demo Skills
• Graduation Certificate

🎓 Enroll Today!

Complete your Python journey by building real AI-powered applications. From your first “Hello World” to advanced AI systems, this course marks your transformation into a confident programmer and problem solver.