Course: Ai Agents Pro
Mentor - Oleksandr Denisyuk, Senior R&D manager, AI Researcher.
AI Agents Pro is an advanced course on building and implementing AI agents in real projects. You will gain a systemic understanding of agent system design, learn the latest technologies and frameworks, master multi-agent approaches, architecture and monitoring, and be able to run solutions in the cloud.
We teach you how to build agents correctly: with proper architecture, tests and monitoring. Not just 'how to connect API', but how to make a production-ready solution.
Mentor - Oleksandr Denisyuk, Senior R&D manager, AI Researcher, 25 years in the IT industry: from engineer to CTO, CEO.
What you will get after the course:
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✅ Deep understanding of agent architecture
You will know how single- and multi-agent systems work, how to choose the right approach for the task, and how to scale agents in production. -
✅ Practical skills in working with frameworks
LangChain, CrewAI, LlamaIndex, SmolAgents, LangGraph, LangSmith — you will work with all key stacks of agent AI. -
✅ Ability to build RAG approaches and configure observability
You will master RAG agents, monitoring, guardrails, evaluation pipelines, response validation and productive debugging. -
✅ Integrating agents into the cloud
You will learn to deploy agents in AWS and GCP, configure logging, tracing, scaling and secure access. -
✅ Knowledge for working in a production environment
Understand real cases, get best practices, anti-patterns and recommendations for implementing agents in a team or company. -
✅ Portfolio + hackathon case
The final hackathon project is a ready-made PoC that can be used as a start for a new product based on AI agents.
Format:
- Collaboration: in teams and pairs
- Activities: lectures, meetings, practical and homework
Duration: 9 online classes of ~2.5 hours each
Dates: 28.10 - 17.11, starting at 18:30.
Platform: Zoom. You will receive a link to the broadcast before the course starts, and it will also be available on this landing page. In addition, all materials and lecture recordings will be available on the learning platform.
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Interaction:
Number of participants is limited: 30 places
Language of the event: Ukrainian
Language of the presentation: Ukrainian and English
*Basic knowledge of Python is recommended
**We work with Github, so it is recommended to have an account on Github.
***Before starting the course, you must purchase a subscription to Cursor/Windsurf/Cline/Claude code
Program
Day 1 — Tuesday, October 28 (3h)
- Course overview: structure, tools, tasks (15 min)
- Module 1 — Creating your first AI Agent
- Theory: AI and LLM basics, single-agent systems, tools, best practices (1–1.5h)
- Q&A and break (10 min)
- Workshop: agent examples, analysis, lab practice (50 min)
Day 2 — Thursday, October 30 (2.5h)
- Module 2 — RAG: Examples and Best Practices
- Theory: RAG fundamentals, types, agent-based RAG (1h)
- Q&A and break (10 min)
- Workshop: use cases, analysis, implementation (50 min)
Day 3 — Monday, November 3 (2.5h)
- Module 3 (Part 1) — Multi-Agent Solutions
- Theory: multi- vs single-agent systems, patterns, frameworks, stack (1h)
- Q&A and break (10 min)
- Practice: examples, lab work, agent design (40 min)
Day 4 — Wednesday, November 5 (2.5h)
- Module 4 — Architectural Concepts (Part 1)
- Theory: MCP, A2A, ACP (40 min)
- Practice: examples and implementation (30 min)
- Q&A and break (10 min)
Day 5 — Friday, November 7 (2h)
- Module 5 — Frameworks (Part 1)
- Theory: LangChain, LangGraph, LangSmith (40 min)
- Practice: agent design and debugging (30 min)
- Q&A and break (10 min)
Day 6 — Monday, November 10 (2h)
- Module 5 — Frameworks (Part 2)
- Theory: CrewAI, LlamaIndex, Smolagents (40 min)
- Practice: agents and troubleshooting (30 min)
- Q&A and break (10 min)
Day 7 — Wednesday, November 12 (2.5h)
- Module 6 — Monitoring & Testing (Part 1)
- Theory: Observability & Guardrails (20 min)
- Practice: configuration examples and hands-on (60 min)
- Q&A and break (10 min)
Day 8 — Friday, November 14 (2.5h)
- Module 6 — Monitoring & Testing (Part 2)
- Theory: Evaluation (40 min)
- Practice: test examples, analysis (30 min)
- Module 7 — Cloud Production
- Theory: AWS, GCP deployment (40 min)
- Practice: live deployment (30 min)
- Q&A and break (10 min)
Day 9 — Monday, November 17 (2h)
- Bonus — Mobile App Development with AI
- iOS Workshop (50 min)
- Q&A and break (10 min)
- Hackathon: voting and awards
Who will be interested?
- Developers
- DevOps Engineers
- System Administrators
- QA
- Technical Specialists with a Code Understanding
Mentor: Oleksandr Denisyuk
— Senior R&D manager, AI Researcher
— 25 years in the IT industry: from engineer to CTO, CEO
— Startup founder, change manager
—Author of the TG channel AI no magic
—Host of the Youtube channel AI no magic
Event price
Access to online course sessions (~20 h)
Access to course recordings for a year
Presentations
Additional materials from the speaker
Access to a chat where the speaker will answer questions
Workshop participant certificate
10% discount on participation in Fwdays conferences
Available installment payments from Monobank and installment purchases from PrivatbankIf after the first lesson you realize that your expectations do not match, we will refund your money in full.