Biom RG Academy helps IT engineers build the practical AI engineering skills, portfolio projects, and career readiness needed for the next generation of technical roles.
A structured path for experienced IT engineers to become AI engineers through LLM apps, RAG systems, agentic workflows, MLOps, and career coaching.
Academy workshops focus on practical engineering: prompt systems, retrieval pipelines, vector search, AI agents, evaluation, and deployment readiness.
Biom RG Academy is the training arm of Biom Research Group. It turns the research community's focus on frontier AI into structured learning programs for working engineers, technical teams, and builders.
The Academy is intentionally practical: learners build systems, review patterns, evaluate outputs, and leave with portfolio evidence they can explain in interviews and on the job.
The Academy curriculum is built for engineers who already understand systems, infrastructure, data, or software delivery and need a serious bridge into applied AI.
Model APIs, structured outputs, orchestration patterns, user experience, and reliability basics.
Retrieval pipelines, vector search, embeddings, grounding, chunking, and evaluation methods.
Tool-using agents, planning, task decomposition, guardrails, and human oversight.
Production-grade capstones, technical storytelling, interview practice, and hiring-market readiness.
The flagship ACT program gives learners a clear transformation arc: foundations, systems, specialization, portfolio, and career launch.
Refresh Python, APIs, cloud habits, model concepts, and modern AI application architecture.
Develop LLM apps, RAG pipelines, vector search flows, agent workflows, and evaluation harnesses.
Package capstones, write architecture notes, rehearse interviews, and present projects in a demo setting.
Join the launch interest list for cohort updates, curriculum previews, workshop invitations, and mentor announcements.
