Engineers and engineering leaders who build, deploy, and scale software systems.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Operating and deploying large language models in production — fine-tuning, inference, monitoring, and cost optimization.

Building retrieval-augmented generation and search systems — vector databases, embeddings, ranking, and retrieval pipelines.

Learn to design, monitor, and deploy working AI systems. This transforms them to build robust, real-world LLM apps using prove

CEO Hyperskill | Lecturer JetBrains, MIT

Nikolay Vyahhi