Turn AI models into useful application features through integration, retrieval, evaluation and monitoring.
Designed for learners with Python foundations, this direction connects prototyping with reliability, data handling and operating costs.
Syllabus and skills
- Model and API selection
- RAG and document retrieval
- Evaluation and monitoring
- Privacy, cost and deployment
Practical outcome
Build a document assistant with source references, then assess incorrect answers and per-request costs.
Building your understanding
Evaluate an AI solution against prepared examples, including failures and ambiguous requests. Compare answer quality, latency and cost, and decide which situations should require a human review.
Choosing your course
Find training in Baku that matches your goals and experience. Before enrolling, confirm the entry requirements, lesson format, amount of practice, duration and fees.