https://www.linkedin.com/learning/hands-on-generative-ai-with-multi-agent-langchain-building-real-world-applications

https://www.linkedin.com/learning/hands-on-ai-building-llm-powered-apps

  Are you ready to start building applications with large language models (LLMs), but not sure where to begin? This course, which is designed uniquely for beginners with no experience in the LLM space, offers an overview of the fundamentals of LLMs with hands-on challenges to boost your skills along the way.  Explore the essentials of retrieval-augmented generation including search engine basics, embedding model limitations, and how to build a chat-with-PDF application. Along the way, instructor Han Lee shows you how to get up and running with prompt engineering, using the prompt playground for LLM apps.  This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.

360 pages | English | ISBN-10: 0240808312 | ISBN-13: 9780240808314

376 pages | English | ISBN-10: 0240809475 | ISBN-13: 9780240809472

https://www.linkedin.com/learning/hands-on-generative-ai-with-diffusion-models-building-real-world-applications

  As AI and machine learning applications become increasingly powerful and pervasive, it’s essential that developers know how to apply generative models, regardless of their industry or current role. Given the projected future demand for AI professionals, this hands-on, skills-based course is designed to equip you with the tools and technical know-how required to get you up to speed building real-world applications and stay apace with current and emerging trends.  Learn how to leverage some of the most recent advancements in generative AI with diffusion models by exploring the power of the Hugging Face diffusers library. Join instructor and generative AI expert Nayan Saxena as he dives into unconditional image generation, text-guided image generation, image-to-image translation, the art of image inpainting, image quality and efficiency improvements, music generation, and more. By the end of this course, you'll be adept at applying these models in real-world scenarios.

Python Programming; Deep Learning; Computer Vision; CNNs; Caltech-101; MNIST Digits;