‍LunarTech Academy and freeCodeCamp, the world’s largest academic nonprofit, have joined forces to release a groundbreaking free 2-hour course: Intro to Fine-Tuning Large Language Models. This collaboration brings together freeCodeCamp’s mission of open, accessible education and LunarTech’s expertise in AI engineering to empower learners worldwide with one of today’s most in-demand skills.

The course is taught by Tatev, CEO of LunarTech and an AI professional with over seven years of experience in data science, data engineering, and AI engineering. Tatev guides learners through the fundamentals and advanced practices of fine-tuning LLMs, covering critical distinctions between pre-training, prompt engineering, and fine-tuning, and introducing powerful methods like supervised fine-tuning and reinforcement learning with human feedback (RLHF). A highlight of the program is QLoRA, a revolutionary technique that enables fine-tuning of models as large as Llama 70B on consumer-grade hardware.

Learners will explore modules such as “The Benefits of Fine-Tuning,” “Pre-trained vs. Fine-Tuned Models,” “Prompt Engineering vs. Fine-Tuning,” “Parameter-Efficient Fine-Tuning,” and practical case studies that showcase the real-world impact of this skill. By the end, participants will have a clear roadmap to mastering fine-tuning and applying it professionally in the rapidly growing field of AI engineering.

👉 Watch the full course for free on the freeCodeCamp YouTube channel.