Generative AI Complete Guide with Python + Hugging Face 2025

Master Generative AI, Python and Build 7 Gen AI Programs with Hugging Face's Transformers, Diffusers, Torch and Gradio.

What you'll learn
Learn the core concepts of AI, machine learning, and deep learning to build a strong foundation in AI development.
Gain hands-on experience with popular Generative AI tools for creating text, images, code, and audio content.
Master prompt engineering to optimize AI responses and improve the performance of models across different use cases.
Master Python essentials including lists, dictionaries, sets, conditionals, loops, functions, and object-oriented programming with hands-on coding exercises.
Develop and deploy real-time AI applications, such as chatbots, voice assistants, and text-to-image generators using Python.
Understand the key techniques for building powerful natural language processing models and applying them to solve real-world problems.
Create machine learning and deep learning models from scratch, leveraging popular libraries like Hugging Face, Transformers, and Gradio.
Dive into projects that tackle real-world challenges, including language translation, video summarization, and automated data analysis.
Work with APIs, web scraping, and data handling techniques to gather, process, and analyze data for AI-driven applications.
Complete multiple hands-on projects, enhancing your skills in building practical, deployable AI models, ready for real-world use.

Requirements
No programming or technical knowledge needed. You will learn everything you require.
Windows or Mac enabled desktop or laptop.

Description
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:Image Captioning AI: Build a Generative AI model that automatically generates captions for images using Hugging Face’s pre-trained models and PyTorch.Chatbot AI: Develop a powerful Generative AI chatbot using Hugging Face’s GPT-based models, tailored for real-world conversations.Voice Assistant AI: Create a voice assistant with Generative AI that processes user speech and responds in natural language.Text-to-Image AI: Use Generative AI to generate images from text prompts with Hugging Face’s Diffusers and Stable Diffusion.Video Summarizer AI: Build a Generative AI model that can summarize video content by transcribing audio and summarizing text.Language Translator AI: Develop a Generative AI translation tool that converts text from one language to another using pre-trained models.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.

Who this course is for
If you want to build AI models and applications from scratch, this course will provide you with the hands-on experience and foundational knowledge to kickstart your career in AI development.
Perfect for Python developers who want to apply their skills to AI, leveraging tools like Hugging Face and Gradio to build practical AI applications.
Whether you're curious about creating AI-powered projects or exploring the potential of Generative AI, this course equips you with the tools and techniques for hands-on learning.
Ideal for students in tech fields (e.g., computer science, engineering, data science) who want to gain relevant, real-world AI skills that will make them job-ready.
This course does NOT cover full-stack Large Language Model (LLM) engineering, which involves the advanced design and deployment of LLM systems across diverse platforms.