LLM Engineering That Works: Prompting, Tuning, and Retrieval
LLM Engineering That Works is an advanced, multi-course professional certificate designed to prepare you for production-grade AI systems. The program combines...
About This Course
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.
Topics Covered
Frequently Asked Questions
How much does LLM Engineering That Works: Prompting, Tuning, and Retrieval cost?
LLM Engineering That Works: Prompting, Tuning, and Retrieval costs $49. Check the course page for current pricing and available discounts.
Who teaches LLM Engineering That Works: Prompting, Tuning, and Retrieval?
LLM Engineering That Works: Prompting, Tuning, and Retrieval is taught by Coursera, Coursera.
What skill level is LLM Engineering That Works: Prompting, Tuning, and Retrieval for?
This course is designed for advanced learners.
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