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Generative AI with Python

Students
Last Updated: Aug 26, 2025
Tags: AI

About Course

This 5-day hands-on bootcamp is designed to equip developers and tech enthusiasts with the practical skills to build real-world Generative AI applications using Python. You’ll explore the fundamentals of GenAI—covering text, image, audio, and code generation—while gaining experience working with APIs from OpenAI, Hugging Face, Stability AI, and others. Through guided projects and code examples, you’ll walk away with a working app, a GitHub-ready portfolio, and a strong understanding of how GenAI can be applied ethically and effectively.

What Will You Learn?

  • Explore the capabilities of state-of-the-art AI models (GPT, Stable Diffusion, Whisper, etc.)
  • Learn to integrate GenAI APIs into real applications using Python
  • Build apps that generate content, images, audio, or code automatically
  • Stay ahead in one of the fastest-growing tech domains
  • Create tools that enhance productivity, creativity, and automation
  • Gain portfolio-ready projects that demonstrate your GenAI skills

Course Content

Day 1 – Introduction to Generative AI

Day 2 – Text Generation with GPT Models

Day 3 – Image Generation with Diffusion Models

Day 4 – Audio, Code, and Multimodal Generation

Day 5 – Build and Deploy a Generative AI App

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Material Includes

  • Sample code for each day's session
  • API key setup guides for OpenAI, Hugging Face, and Stability AI
  • Capstone project templates and UI integration with Streamlit
  • Reference notebooks for each generation type (text, image, audio, code)
  • GitHub-ready starter and final project files
  • Certificate of completion (for full attendance)

Requirements

  • Prior Python programming experience (functions, APIs, basic packages)
  • Access to a laptop or PC with Python installed
  • OpenAI and Hugging Face accounts (free tiers are sufficient for this course)
  • Internet access and ability to install Python packages (pip)
  • Code editor such as VS Code or Jupyter Notebook
  • Daily attendance recommended for project continuity
  • Interest in experimenting with AI for creative or functional tools

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Audience

  • Developers familiar with Python looking to explore AI development
  • Data scientists and ML engineers interested in generative models
  • AI hobbyists and tinkerers building creative or productivity apps
  • Product engineers exploring GPT-powered features
  • Tech professionals seeking hands-on exposure to GenAI tools

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