AI Bootcamp

MLExpert is an online AI engineering academy that teaches developers to build AI systems they can show are working, not just demos. The curriculum is hands on and project based: learners start with engineering foundations and a local LLM chatbot with memory, then build a RAG system with citations, produce evaluation reports and debug failures, create an agent with custom tools, and finish by deploying a monitored system. Every repository, evaluation report and dashboard stays with the learner as a portfolio. The course targets software engineers moving into AI products, ML engineers moving beyond notebooks, developers building RAG pipelines, agents or internal copilots, consultants who need patterns they can hand to clients, and career changers who need work that holds up in interviews. It uses a production style stack of FastAPI, Docker, PostgreSQL with pgvector, Ollama, vLLM, Prometheus and Grafana, with tracing and evals built into the projects. The site is explicit about who should look elsewhere: complete beginners who have never written code, researchers who want theory without implementation, and anyone looking for passive video content or prompt shortcuts. Completion earns a certificate with a public verification URL, and a free lesson is available before buying. The site lists lifetime access at $197, marked down from $299 with a notice that the price goes up August 1, or a subscription at $39 per month. Payment runs through Stripe, and purchases carry a 30 day money back guarantee with a full refund on request by email. Note that this is a training program rather than software: it teaches the tools and practices for building AI systems instead of providing an AI product itself.