Bridge the gap between notebooks and revenue-generating AI services. Over 12 weeks you’ll refactor ML code into modular packages, fine-tune transformers for Gen-AI features, and deploy FastAPI micro-services in Docker and Kubernetes with autoscaling. MLflow tracking, LangChain RAG pipelines and KEDA cost controls round out the stack. Graduates leave with a live, documented API and the skills employers demand for AI Engineer, ML Engineer or MLOps-heavy product teams.
Bridge the gap between notebooks and revenue-generating AI services. Over 12 weeks you’ll refactor ML code into modular packages, fine-tune transformers for Gen-AI features, and deploy FastAPI micro-services in Docker and Kubernetes with autoscaling. MLflow tracking, LangChain RAG pipelines and KEDA cost controls round out the stack. Graduates leave with a live, documented API and the skills employers demand for AI Engineer, ML Engineer or MLOps-heavy product teams.