From Recipe to Chef - Become an LLM Engineer

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. In this course, you will embark on an exciting culinary adventure of Large Language Models (LLMs), from the foundational ingredients to the final deployment of your own LLM-powered app. Through each module, you'll gain hands-on experience in model training, fine-tuning, and deployment, equipping you with the skills to become a proficient LLM engineer. By the end, you’ll understand how LLMs are created, optimized, and evaluated, and how they’re applied to real-world problems. Your learning journey will start with understanding the core principles behind LLMs, like data tokenization, training mechanisms, and the nuances of prompt engineering. As you dive deeper, you'll explore different architectures and learn how to fine-tune LLMs to suit specific needs, using techniques like transfer learning and low-rank adaptation. From there, you’ll get hands-on with deploying LLMs into production environments and building interactive applications using tools like Gradio, Streamlit, and LangChain. Whether you’re new to AI or looking to refine your skills, this course will walk you through the process of designing and developing LLM-powered solutions. By the end, you’ll not only have built a fully functional LLM app, but you will also be ready to enter the booming field of LLM engineering with the skills and confidence to make an impact. By the end of the course, you will be able to understand the fundamentals of LLMs, create and fine-tune your own models, evaluate their effectiveness, deploy them in real-world applications, and monitor and improve their performance over time. Additionally, you’ll have developed a strong portfolio of LLM projects to showcase your expertise.