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AI agents for technical specialists

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For experienced developers who want to transition from LLM queries to agent-based systems. The result: working code and an understanding of what to deploy to production.

Workshop

Online

Оновлення дати

3 days

For technical specialists

Who is this program for?

for IT professionals

Specialists who already work in the field of technology or related fields, and want to update their knowledge, expand their competencies and be aware of current digital trends.

Who will benefit?

Mid-level / Senior Developers

You’re already using LLMs in your code, but you want to move beyond one-off queries to agent-based systems that plan and execute steps on their own. This workshop will provide you with an architectural foundation and working code that you can adapt for your own projects.

System architects

Are you evaluating the possibility of integrating AI agents into your product and looking for an honest technical overview—including patterns, frameworks, limitations, and risks? You’ll gain enough context to inform architectural decisions and technical discussions with your team.

Tech Lead

The team is asking about AI capabilities, and you need to figure out what’s actually possible, how much complexity it adds, and how to avoid getting bogged down in support. The workshop will show where an agent adds value and where it’s overkill.

DevOps / SRE

You spend time manually investigating incidents: collecting logs, comparing them with metrics, and searching through runbooks. Learn how to set up an Incident Response Team on agents that automatically analyzes incidents and suggests a remediation plan

Learning Outcomes

You can distinguish between the levels of agent-based systems

A clear three-tier taxonomy: a single LLM query, a deterministic workflow, and an autonomous agent. Classify real-world cases from your own experience and choose the appropriate solution—without unnecessary complexity where it isn’t needed.

Building a reliable agent on LangGraph

From tool calling and state management to checkpoints and recovery after failures. You connect Agentic RAG to work with corporate data and MCP for integration with external systems. You get working code that can be adapted to your own project.

Deploy the agent to production without any blind spots

You set up tracing in LangSmith, identify bottlenecks, and monitor token usage. You analyze the OWASP Top 10 vulnerabilities relevant to agents—Goal Hijacking, prompt injection, and memory poisoning—and build a Permissions Matrix with clearly defined human-in-the-loop points.

Program

Want to know what to expect? We’ve put together a detailed program—it’ll help you plan your time and understand what skills you’ll gain.

Kateryna Stetsyura,

Chief Product Officer at Beetroot Academy

Our training programs are designed to ensure that knowledge is immediately put into practice—through hands-on exercises, case studies, and work with real-life scenarios.

Day 1

Block 1: Fundamental Concepts
Levels 0, 1, and 2: How They Differ and When to Use Each. Agent anatomy, the Agent Loop, reasoning patterns: ReAct, Plan-and-Execute, OODA.
Practice: Classifying real-world cases.

Block 2: Technical Implementation and Architecture
Tool Calling, State Management in LangGraph, Overview of Frameworks 2026.
Practice: A basic LangGraph agent with 2–3 tools.

Block 3: Specialized Roles
Overview Case Studies for Developers (Coding Agents), DevOps/SRE (Self-Healing Systems), Data Engineers (Data Quality, Pipeline), and Security (Agentic SOC).

Block 4: Production-Ready and Security
Observability at LangSmith, Failure Engineering, OWASP Top 10 for Agents, Human-in-the-loop.

Day 2

Block 5: Agentic RAG and MCP
An agent that decides on its own whether a search is needed. MCP for connecting to corporate data.

Unit 6: From a Single Agent to a Team
When to Use a Multi-Agent. Communication Patterns, Incident Response Team Architecture, Shared State vs. Message Passing.

Day 3

Block 7: Hands-on assembly of a multi-agent system.

Unit 8: Challenges of Multi-Agent Systems
‍Debugging in LangSmith, failure modes, cost explosion, feedback loops

Trainer of the workshop

Viktoriia Dvornyk

Senior Data Scientist, N-iX

Experienced in building AI systems and agent-based architectures

How to get training within the program

This programme provides an opportunity to gain valuable knowledge and skills that will help you effectively use modern technology in your professional activities. With the support of the Swedish Ministry of Foreign Affairs, participants will be able to access advanced techniques and tools that will contribute to the development of their organizations.

1. Leave a request

Fill out the form and tell us about your motivation — what you expect from participating and why you or your team should be among the chosen ones. This is your chance to present yourself. Please note: the application does not guarantee automatic enrollment.

2. Wait for the answer

We process all applications in turn. So the later the start date, the later you can get an answer.

Be patient with us and wait for a letter from our team — check all folders, including spam.

3. Complete registration

Fill out the form that will come to you in the letter. This data will help us better organize the process and communication. This is a necessary step for the final registration.

Leave a request

Popular Questions and Answers

Is this free training?

Yes, participation is free thanks to funding from the Swedish Ministry of Foreign Affairs. The main thing is to meet the conditions of participation.

Is it necessary to work in an IT company?

Yes, it is a must. At the time of starting your studies, you must be officially employed in such a company.

What are the requirements for participants?

To successfully complete the workshop, you will need: - Basic experience with Python development (intermediate level or higher) - An understanding of REST APIs and data formats (JSON)

Workshop preparation:- Python 3.10+ installed
- Google AI Studio — get an API key (https://aistudio.google.com, free)
- LangSmith—sign up and get an API key (https://smith.langchain.com, free)
- VS Code or another IDE
- Склонувати starter repo, який ми надамо, та виконати pip install -r requirements.txt

Is experience in ML or data science required?

No. Basic experience with Python development and an understanding of REST APIs are sufficient. The workshop is designed for engineers, not data scientists.

Will I be able to use the code I receive right away in my project?

Yes. All the code you write during the workshop is yours. You get to keep the starter repo. You can adapt the architectural patterns and solutions to your specific context.

Would this workshop be suitable for me if I'm writing in TypeScript/Go instead of Python?

Architectural patterns, state management principles, security, and observability approaches are universal. The practical portion is in Python, but participants using other languages will gain a thorough conceptual understanding and will be able to adapt these approaches to their own tech stack.

Will I get a certificate after the workshop?

Yes, after successful completion of the workshop, you will receive a certificate. To do this, you need to be present at all classes, do assignments and actively participate in discussions.