LLM Engineering That Works is an advanced, multi-course professional certificate designed to prepare you for production-grade AI systems. The program combines five long courses, 19 short courses (including career development), and four add-on modules to cover the end-to-end lifecycle of large language models—from prompt design and model tuning to retrieval, evaluation, and deployment. You’ll learn to build robust, ethical, and cost-efficient LLM solutions through hands-on projects that mirror real-world workflows. By completing this program, you’ll gain the skills needed to design, implement, monitor, and improve scalable LLM-enabled applications across industries.
Who this is for: Experienced ML engineers, software engineers, data scientists, and AI practitioners who seek hands-on, production-focused expertise in LLMs and AI systems. A strong programming background and familiarity with ML concepts are recommended.
Applied Learning Project
This program guides you through a portfolio of production-focused projects. You will work on an End-to-End LLM Performance Audit, diagnose flawed LLM architectures, add safety guardrails to LLM services, design multi-region, scalable LLM architectures, and optimize costs and compute. A capstone-style set of add-on projects rounds out your portfolio, demonstrating end-to-end capabilities from data pipelines to deployment and monitoring in real-world settings.
