Crash Course: Designing and Integrating AI Agents
Mentor - Oleksandr Denisyuk, Senior R&D manager, AI Researcher.
We invite you to a two-week course on creating AI agents! You will master the creation of autonomous and multi-agent solutions, learn to apply AI in mobile applications and learn about cloud deployment and scaling of AI solutions.
Language of the event: Ukrainian
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You will learn how to:
- create and configure the first AI agents (LLM, frameworks, environment settings)
- build a multi-agent architecture with python code, work with memory, context and low-code platforms (crew.ai, n8n, flowise, LangGraph)
- develop mobile applications for Android/IoS with built-in AI
- deploy cloud production, test context and scale AI solutions
- integrate with external services, configure monitoring and debugging
- use AI IDE (Cursor, Windsurf, claude code) and other tools for prototyping
Mentor - Oleksandr Denisyuk, Senior R&D manager, AI Researcher, 25 years in the IT industry: from engineer to CTO, CEO.
Format:
- Collaboration: in teams and pairs
- Activities: lectures, meetings, practical and homework
Sprint: two weeks of online classes on Mondays, Wednesdays, and Fridays.
Dates: 12.05 - 23.05, 18:30 - 20:30, (Kyiv time, GMT+3), duration of each class ~2 hours.
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
Module 1 (3 hours): Creating the first AI agent
- Basics of LLM and AI agents: areas of application
- Environment setup, framework overview
- Practice: 3 AI agents + homework
Module 2 (3 hours): Multi-agent solutions
- Architecture of multi-agent systems: interaction, memory, context
- Working with low-code platforms (crew.ai, n8n, flowise, LangGraph)
- Frameworks: LlamaIndex, LangChain, Pydantic AI, crew.ai
- Practice: multi-agent interaction with different sources (3 cases)
Module 3 (3 hours): Developing mobile applications with AI
- AI in mobile applications: Android/iOS
- Using APIs, data exchange between application and agent
- Practice: 2 mobile applications with AI functionality
Module 4 (2 hours): Cloud production, testing and scaling
- Cloud deployment, monitoring, troubleshooting, (kagent)
- Integration with external services, basic DevOps/AIOps practices
- Testing, debugging and common mistakes (agent logic, mobile)
- Recommendations and requirements for commercial use, architecture, versioning
Bonus (1 hour)
- Practical skills in using AI IDEs: Cursor, Windsurf, Claude Code (MCP, ACP)
- Review of 10+ AI tools for developing prototypes and finished products
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
Tickets
Access to online course sessions
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.