Generative AI, LLMs, and Advanced Applications with Python

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Delve into the world of generative AI and large language models (LLMs) with hands-on applications using Python. You'll explore the power of Variational Auto-Encoders (VAEs) and Generative Adversarial Networks (GANs) to create synthetic data, including images and music. Alongside, you'll get to grips with Transformers and self-attention mechanisms, which are foundational to models like GPT and ChatGPT, unlocking advanced AI applications. Learn the intricacies of GPT architecture, including tokenization and fine-tuning, and apply these concepts using tools like Hugging Face and Google Colab. The course also covers cutting-edge topics such as Retrieval Augmented Generation (RAG) and advanced LLM agents. Through interactive activities, you’ll create powerful AI applications like chatbots and personalized systems. This course is designed for learners aiming to advance their knowledge of AI, machine learning, and Python, with a focus on generative models and LLMs. If you want to build your own AI-driven applications and deepen your understanding of state-of-the-art AI technologies, this course is for you.