Launchfar Academy is a standalone adaptive learning platform from the team behind Jam With AI. It is designed for working engineers moving into AI, ML, and data, with a persistent mentor and project-led paths that respond to how you learn.
Available now
Launchfar Academy is coming soon, but you can begin learning today with the existing Jam With AI production courses.
Build a production-ready RAG system from scratch. 12 hours of hands-on content and code walkthrough building an arxiv-paper-curator.
12 hours
$99
Come with an open mind and be prepared to be wowed :-)
This course was exactly what I needed. You are absolutely right about all these courses which build toy projects. I couldn't find anything so close to production-ready.
A well-structured cohort designed for experienced professionals and career switchers. The friendly, cooperative sessions encouraged me to ask questions and receive live answers.
Shantanu and Shirin were excellent facilitators — striking the fine balance between what, why, and how — both for the sessions and real-world applications. The leads are accomplished senior engineers, brilliantly making theory real and hands-on accessible. Highly recommend.
Shantanu/Shirin have good experience in traditional AI/ML world, and have been able to translate their experience towards building a document retrieving based RAG solution for the first cohort. Nice effort and good learning experience.
Learning with Shantanu and Shirin has been a refreshing experience — the structured weekly modules combined with live walkthroughs and Q&A sessions made complex concepts around building and monitoring RAG systems much easier to grasp. The content was practical, well-paced, and truly production-focused.
Come with an open mind and be prepared to be wowed :-)
This course was exactly what I needed. You are absolutely right about all these courses which build toy projects. I couldn't find anything so close to production-ready.
A well-structured cohort designed for experienced professionals and career switchers. The friendly, cooperative sessions encouraged me to ask questions and receive live answers.
Shantanu and Shirin were excellent facilitators — striking the fine balance between what, why, and how — both for the sessions and real-world applications. The leads are accomplished senior engineers, brilliantly making theory real and hands-on accessible. Highly recommend.
Shantanu/Shirin have good experience in traditional AI/ML world, and have been able to translate their experience towards building a document retrieving based RAG solution for the first cohort. Nice effort and good learning experience.
Learning with Shantanu and Shirin has been a refreshing experience — the structured weekly modules combined with live walkthroughs and Q&A sessions made complex concepts around building and monitoring RAG systems much easier to grasp. The content was practical, well-paced, and truly production-focused.
How Launchfar works
The course is only one part of the experience. Your roadmap, mentor, practice, and project stay connected as you progress.
01
Your mentor uses your background, goals, and completed work to shape a focused roadmap.
02
Work through text-first lessons, interactive foundations, and production-minded technical explanations.
03
Each course leads to a working system, from local RAG to production AI/ML infrastructure.
04
The roadmap remembers where you struggled and changes as your skills and goals evolve.
Inside Launchfar
Courses are independent, practical, and designed around a clear outcome rather than passive video completion.
Free foundation
63 hands-on lessons built for developers moving into AI engineering.
Free foundation
46 practical lessons using the data and workflows AI teams handle on the job.
Production course
Build a complete local RAG system across ingestion, retrieval, inference, UI, and testing.