Generative AI Complete Guide with Python + Hugging Face 2025

Welcome to the Generative AI Complete Guide with Python + Hugging Face 2025! This course is designed to provide you with an in-depth understanding of Generative AI, allowing you to master the foundations of this revolutionary technology. Generative AI is transforming industries by enabling machines to generate content such as text, images, audio, and even code.

In this course, you’ll explore various types of AI, including the difference between traditional AI and augmented intelligence, and dive into key concepts such as machine learning, deep learning, and neural networks. You will learn about the applications of AI in areas like natural language processing, speech technology, and computer vision, and how these technologies are transforming industries. The course also covers practical tools for generating text, images, code, audio, and video, with hands-on labs for each. You’ll gain skills in prompt engineering, learning techniques like interview pattern, chain-of-thought, and tree-of-thought to optimize AI model responses effectively. With Hugging Face’s Transformers, Diffusers, Torch, and Gradio, you will gain hands-on experience building and deploying Generative AI applications.

The course includes 7 exciting Generative AI projects that you will build from scratch:

1. Image Captioning AI: Build a Generative AI model that automatically generates captions for images using Hugging Face’s pre-trained models and PyTorch.

2. Chatbot AI: Develop a powerful Generative AI chatbot using Hugging Face’s GPT-based models, tailored for real-world conversations.

3. Voice Assistant AI: Create a voice assistant with Generative AI that processes user speech and responds in natural language.

4. Text-to-Image AI: Use Generative AI to generate images from text prompts with Hugging Face’s Diffusers and Stable Diffusion.

5. Video Summarizer AI: Build a Generative AI model that can summarize video content by transcribing audio and summarizing text.

6. Language Translator AI: Develop a Generative AI translation tool that converts text from one language to another using pre-trained models.

7. Data Analyst AI: Create a Generative AI model that processes and analyzes datasets to generate actionable insights automatically.

In addition to project-based learning, you will gain a solid understanding of Python for Generative AI development. You will master data handling, API integration, and the use of Gradio for building interactive AI interfaces.

By the end of this course, you will be equipped with the knowledge and skills to build advanced Generative AI applications using Python and Hugging Face. Whether you’re looking to enter the Generative AI field, improve existing skills, or work on personal projects, this course is the perfect starting point to harness the potential of Generative AI.