As Large Language Model (LLM) applications disrupt countless industries, breakthroughs such as ChatGPT are becoming household terms. The demand for LLM-based applications is skyrocketing, and this program will provide you with the skills and knowledge needed to be at the forefront of this exciting field. You will learn how you can build your own production-ready LLM-based applications, leveraging the latest and most popular natural language processing (NLP) frameworks.
Through dynamic lectures, demos, and hands-on labs taught by industry leaders and renowned researchers—such as Matei Zaharia, co-founder and chief technologist at Databricks and computer science professor at UC Berkeley—students will learn how to develop and productionize LLM applications. Brought to you by the big data company that created the popular open-source projects Apache Spark, MLflow, Delta, and Dolly, the instructors bring a unique perspective from working with F500 companies, startups, and academia.
The first course takes you through a practical tour of how to get started quickly with LLMs for common applications, including fine-tuning open-source LLMs to build your own custom chat model. You will also learn how to apply LLMOps best practices for deploying models at scale, as well as evaluate the efficacy and bias of LLMs.
The second course dives into the details of language foundation models. You will learn the innovations that led from LSTMs to Transformers, including BERT, GPT, and T5, and the key breakthroughs that led to the model powering ChatGPT.
By the end of the program, you will have built your own end-to-end LLM workflows that are ready for production. Upon completion, you will be well-equipped to pursue careers as LLM developers, data scientists, and engineers, and to build innovative solutions to complex natural language processing problems.
If you’d like to audit the program, you’ll need to navigate to the individual course page to audit each course.
