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AI Workflows: Practical Systems with LLMs

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This 2-day workshop introduces participants to the tooling and design principles needed to build AI-powered workflows and systems. We'll cover LangFlow, n8n, LLM prompt engineering, fine-tuning, RAG pipelines, agent orchestration, and the trade-offs between hosted and local models. By the end of the course, you will have created working AI bots and automation tailored to your context.

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Book NowCheck DatescalendarNext public session29.9.2025clock08:00 GMT09:00 CET10:00 EET

What's Inside

Day 1 — Foundations: From Prompts to Workflows

  • Understanding the AI Workflow Landscape: what LLMs can and can’t do, common workflow types, and modern tooling overview (LangFlow, n8n, LangChain)
  • Creating your first LLM-powered automation: using n8n and LangFlow to build workflows and connect logic
  • Prompt Engineering Essentials: few-shot prompting, roles, output formatting, common mistakes and fixes
  • RAG in Practice: building a retrieval-augmented assistant using LlamaIndex or LangChain and a vector database
  • Modular AI workflows: breaking down tasks into steps using multi-turn logic and orchestration patterns

Day 2 — Agents, Autonomy, and Evaluation

  • Multi-Agent Systems Overview: MCP, A2A patterns, AutoGen-style orchestration, role assignment and structured dialogue
  • Tool-Augmented Agents: implementing agents that call external tools, APIs, and internal services dynamically
  • Evaluation and Testing: LangSmith, DeepEval, Promptfoo, designing test cases and using LLM-as-a-judge
  • Local vs Cloud Models: performance, privacy, and cost trade-offs, including Ollama and fallback strategies
  • Final Lab: design and present your own AI workflow or assistant using techniques and tools covered in the course

Who's This For

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Developers, Automation Engineers, DevOps Engineers, Data/AI Engineers, Solution Architects, Technical Product Owners.

What You Get

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Unique content – no fluff, only real-world AI and automation.

certificate

Certificate of attendance – includes digital proof of your participation.

exam

Optional exam – test your knowledge and include your score on the certificate.

video-call

Online format – attend from anywhere with full access to instructors.

video-recording

Recordings available – replay sessions at your own pace.

live

Live and interactive – ask questions, discuss problems, get feedback.

qa

Q&A session each day – dig deeper into your edge cases and ideas.

quiz

Quizzes and polls – keep the energy high and check understanding.

cloud-lab

Hands-on labs – build working flows with LangFlow, agents, RAG.

home

Homework and feedback – optional exercises to reinforce your learning.

email

Lifetime support – follow-up help and project advice anytime.

Andrey Adamovich

trainer-lightAbout the trainer

Andrey works as a free-lance DevOps consultant offering his expertise in implementing DevOps initiatives, selecting automation tooling, switching to infrastructure-as-code and immutable infrastructure and constructing software delivery pipelines.

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When Does it Happen

calendar01-02 September, 2025sold out
calendar29-30 September, 2025

Pricing

Individual

 899€per attendee 
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Team Player

 799€per attendeewhen registering 3 and more
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Company

 8500€per teamof up to 20 attendees
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VAT charges may apply.

All training courses are a subject to the cancellation policy.

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