Generative AI Masterclass: Python, HuggingFace & 7 Projects | Udemy

Welcome to the ultimate Generative AI Bootcamp — the only course you’ll ever need to become a confident, skilled, and job-ready expert in Generative AI and deep learning, starting completely from scratch.

From building chatbots and voice assistants to creating your own text-to-image and video summarizer tools, you won’t just learn theory — you will build 7 complete real-world AI projects using Python, Hugging Face’s Transformers and Diffusers, and Gradio. By the time you reach the end, you’ll have practical, portfolio-ready projects to showcase your skills with pride.

Why This Course Matters

We are in the AI revolution — and Generative AI is at the heart of it. Every industry is now transforming with tools like ChatGPT, Stable Diffusion, and AI copilots for writing, coding, design, analytics, and more. The companies of tomorrow are already seeking talent who know how to build, not just use, these systems.

That’s where this course steps in — it doesn’t just teach you how Generative AI works — it teaches you how to develop it from scratch, using industry-standard tools like Hugging Face, TensorFlow, and Gradio.

With 181+ carefully crafted lessons, over 18 hours of hands-on content, and zero fluff, you’ll gain the knowledge and confidence to become a creator, not just a consumer, of AI technologies.

What You Will Learn

This course is your gateway into the world of creative artificial intelligence, and you’ll walk away with mastery in the following core areas:

The Fundamentals of AI and Generative AI

You’ll begin by understanding what Artificial Intelligence truly is — not just as a buzzword, but in its technical and societal essence. You’ll discover the different types of AI (including Narrow, General, and Super AI), how traditional AI differs from Generative AI, and where these technologies are shaping the future. You’ll also explore real-world applications, including chatbots, autonomous systems, recommendation engines, and creative tools.

Hands-On with Gen AI Tools and Use Cases

From the start, you’ll explore text, image, code, audio, and video generation tools. You’ll get practical exposure to the latest AI platforms and APIs, understanding how they work under the hood — and more importantly, how to use them to build your own tools. Projects will include:

• Text generation with transformers
• Image creation with Stable Diffusion
• Code generation with LLMs
• Voice assistant development
• Video summarization and more

Master Prompt Engineering Techniques

You’ll become an expert in the art of prompting, learning techniques like:

• Chain-of-Thought (CoT) prompting
• Tree-of-Thought (ToT) reasoning
• Interview-style prompts
• Best practices and tools for advanced prompt structuring

You’ll build prompts not just to interact with AI — but to optimize performance, accuracy, and output control, especially in complex multi-step tasks.

Complete Python Programming for AI

Even if you’ve never coded before, this course will take you through Python programming from scratch, specifically tailored for AI and data work:

• Variables, loops, functions, and classes
• Working with files, APIs, and web scraping
• Data structures like lists, dictionaries, and sets
• Error handling and control flow
  By the end, Python will feel like your second language.

Deep Learning & Neural Networks (with TensorFlow)

You’ll explore how neural networks really function:

• What tensors are and how they represent data
• Linear algebra foundations: matrices, dot products, and vector math
• Activation functions, initialization techniques, backpropagation
• Optimizers like Stochastic Gradient Descent (SGD)
  All taught with practical coding examples and visual explanations to help you deeply understand what’s happening behind the scenes.

Model Training and Evaluation

You’ll learn how to:

• Preprocess and clean data
• Structure datasets for training
• Train models step-by-step and fine-tune them
• Evaluate their performance with accuracy, loss, and other metrics
  Whether you’re building a chatbot or image captioning model, you’ll know how to debug, optimize, and measure success.

Build 7 Full-Scale Generative AI Projects

This course is project-heavy for a reason — you learn best by building. By the end, you will have built:

1. Image Captioning AI with Transformers + Gradio
2. Generative Chatbot using LLaMA2 and Gemma models
3. AI Voice Assistant that listens and speaks
4. Text-to-Image Generator using Stable Diffusion
5. AI Video Summarizer using Whisper + BART
6. Language Translator with M2M100 model
7. AI Data Analyst that can understand and analyze input text

Each project teaches real workflows, practical tools, and production-ready code that you can showcase on GitHub or during interviews.

Why This Bootcamp is for the Serious Learner

This isn’t a trendy course made for passive watchers — it’s a bootcamp for those ready to commit to the AI future.

That’s why we follow a 100 Days of AI Challenge style — encouraging you to show up every day, even for 30 minutes. It’s structured to build consistent habits, helping you:

• Learn efficiently with small, manageable goals
• Build projects step-by-step
• Feel progress daily without burnout

You won’t just binge-learn. You’ll build your future — with discipline and clarity.

One Honest Limitation

This course is not for learners who prefer highly visual or animated content. The teaching style focuses on text-based, code-first, explanation-rich lessons, with an emphasis on depth, clarity, and practical application. While diagrams and figures are included when necessary, the core learning approach is immersive reading, doing, and thinking — not watching animations.