A hands-on, system-level course for engineers who already understand the basics of Generative AI and want to go deeper into how real-world AI systems are built, optimized, and deployed.
Instead of focusing on prompts or high-level concepts, this course teaches you how modern AI applications work under the hood — and how to build production-ready solutions using industry-relevant techniques.
By the end of this course, you will not just “use” AI models — you will understand how to engineer AI systems.
Understand how AI systems interact with tools, APIs, and external systems, and how tool calling actually works behind the scenes.
Go beyond simple vector search and build high-quality, production-grade RAG pipelines with better chunking, retrieval, and ranking strategies.
Learn when and how to fine-tune models, how to prepare datasets, and how to improve model performance for specific use cases.
Understand how inference works step-by-step, including KV cache, latency optimization, memory constraints, and cost trade-offs.
Learn how to measure model performance correctly using quality, cost, and latency instead of relying on misleading traditional metrics.
This course is designed for engineers who already have a basic understanding of Generative AI and want to move beyond prompting into real system design and production deployment.
If you are ready to move beyond basic prompting and start building scalable, efficient, and production-ready GenAI systems — this course is for you.
Instructor-led live classes for the full duration of the cohort, multiple days a week.
Real GPU resources for hands-on labs — fine-tuning, inference, and evaluation.
All session recordings included. Revisit any topic at any time, forever.
Private Discord community to ask questions, share progress, and collaborate with peers.
Course content is updated as the ecosystem evolves — you get every update at no extra cost.
Every topic comes with practical exercises built around real-world production patterns.
Pick the time that works for you. All sessions are live, instructor-led, and in Pacific Standard Time (PST).
Yes — this course assumes you already understand the basics of Generative AI (LLMs, prompting, basic tooling). If you are new to GenAI, we recommend starting with our GenAI for DevOps Engineers course first.
You learn alongside a group of engineers at the same stage. Sessions are live and instructor-led, running multiple days a week. Recordings are available for enrolled students.
Yes. Topics like supervised fine-tuning and GPU inference include access to real GPU resources — not simulated environments or toy datasets.
The curriculum is identical. The only difference is the schedule — Morning runs May 9–31 at 8:00–9:30am PST, and Evening runs May 8–30 at 7:00–8:30pm PST. Pick whichever fits your timezone and routine.
At this time we do not offer refunds. If you have questions about the course before enrolling, reach out directly.