AI, ML & Agentic Engineering

Courses on artificial intelligence and agentic engineering – from AI-assisted development with Claude or GitHub Copilot, through agentic software, system and platform engineering, to building intelligent applications with MCP, Autogen and Spring AI.

Organized by letsboot

Agentic Engineering Days Zurich 2026

Switzerland's AI coding & agents conference

📅 November 20, 2026📍 Marriott Hotel, Zurich Main Station

  • 300–400+ attendees
  • 4 tracks
  • Top speakers
  • Arcade
  • Vendor & industry-leader booths
  • AI-Assisted Coding
  • Coding Agents
  • Agentic Systems
  • MCP & Agent Protocols
  • Context & Retrieval
  • Production & Evals

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The “AI Assisted Engineering On-Boarding” course was an outstanding experience. It provided a clear, practical, and inspiring introduction to how AI can support modern engineering work. The content was well structured, easy to follow, and highly relevant to real day-to-day challenges. What stood out most was the strong balance between theory and hands-on application. The course not only explained the concepts clearly, but also showed how to use AI tools effectively and responsibly in actual engineering scenarios. It made complex topics feel accessible and immediately useful. I especially appreciated the engaging format, the high quality of the materials, and the clear expertise of the instructors. The course created a motivating learning environment and gave me valuable confidence in applying AI-assisted approaches in my work. Overall, I can highly recommend “AI Assisted Engineering On-Boarding” to anyone who wants a practical, forward-looking, and well-designed introduction to AI in engineering. It is an excellent course that delivers real value from start to finish.
Martin Martin
Leiter IT Entwicklung Platform & Services
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Let it build

AI-assisted engineering: build faster by letting AI act as an active peer programmer that generates, tests and runs code.

Agentic (AI-Assisted) Plattform & DevSecOps Engineering

Platform & DevOps engineering with agentic workflow: Peer-engineering approach with generative AI for CI/CD pipelines, GitOps, Kubernetes, containers, and infrastructure as code.

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Agentic (AI-Assisted) Software Engineering

Software development with an agentic workflow: peer-programming with generative AI that directly modifies, tests, builds and runs code and uses tools such as the shell.

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Agentic (AI-Assisted) System Engineering

System engineering with agentic workflow: Peer-engineering approach with generative AI for Ansible, shell scripting, GitOps, infrastructure as code, and server automation.

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AI-Assisted Architecture Engineering

Create and challenge software architecture in arc42 format with Claude Code, OpenCode or GitHub Copilot Agent Mode, then translate it directly into actionable implementations.

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Agentic Builder: SaaS Product End to End

From empty repository to running SaaS product in two days: sign-up and sign-in, core features, AI features and payments — built, tested and deployed with AI assistance.

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Claude Code for Enterprise Engineering

Claude Code as an active peer programmer in your enterprise workflow: generate, test and debug code directly, master prompting and context strategies, and build your own MCP server.

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GitHub Copilot for Enterprise Engineering

Master GitHub Copilot as an active peer programmer: Copilot Chat, GitHub Actions and your own MCP servers on real frontend and backend projects in VS Code and Codespaces.

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Build it

Build AI-powered systems: intelligent applications, agents and platforms that integrate or are powered by AI.

AI Lab for Management in Tech

Hands-on lab for management in tech: try out agentic systems, AI-assisted workflows, and agentic engineering – build literacy and see concretely what is possible today.

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Platform Engineering for AI Applications

Platform engineering for AI applications: Deployment, operation, and optimization of large language models and AI workloads with inference engines, LLM gateways, monitoring, and LLMOps.

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AI Workloads on Kubernetes

Run AI and ML workloads in production on Kubernetes: GPU scheduling, model serving with KServe and vLLM, autoscaling with KEDA, orchestration with Kubeflow and Ray, and GitOps for models.

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Developing AI-Agents with AutoGen in Azure with C#

Develop intelligent agent systems with Microsoft AutoGen in Azure. From basic configuration of individual agents to multi-agent workflows.

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Building Agentic Systems

Build agentic AI systems: From RAG and MCP through self-hosting and model evaluation to multi-agent workflows for data processing and business processes.

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MCP for Enterprise AI Integration

Build secure MCP integrations that connect AI agents to enterprise APIs, tools, data sources, and workflows in a controlled way.

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Self-Hosted LLMs

Run small, fast open-source LLMs yourself: plan your memory budget, understand quantization and mixture of experts, work with Ollama and vLLM, fine-tune a model, and measure the result.

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Spring AI: Intelligent Applications with Java

Develop and extend software systems with AI capabilities. Experience how to embed modern language models with Java and Spring AI in applications and build intelligent applications.

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What participants say

The “AI Assisted Engineering On-Boarding” course was an outstanding experience. It provided a clear, practical, and inspiring introduction to how AI can support modern engineering work. The content was well structured, easy to follow, and highly relevant to real day-to-day challenges. What stood out most was the strong balance between theory and hands-on application. The course not only explained the concepts clearly, but also showed how to use AI tools effectively and responsibly in actual engineering scenarios. It made complex topics feel accessible and immediately useful. I especially appreciated the engaging format, the high quality of the materials, and the clear expertise of the instructors. The course created a motivating learning environment and gave me valuable confidence in applying AI-assisted approaches in my work. Overall, I can highly recommend “AI Assisted Engineering On-Boarding” to anyone who wants a practical, forward-looking, and well-designed introduction to AI in engineering. It is an excellent course that delivers real value from start to finish.
Martin Martin
Leiter IT Entwicklung Platform & Services
The AI Assisted Engineering On-Boarding course was very practical and easy to follow and awesome! I especially appreciated the hands-on approach and the focus on real use cases. It gave me a clear understanding of how to work effectively with Claude Code in a development context. After the course, I felt much more confident getting started and applying it in daily work.
Alexander Alexander
Frontend Web Developer
The course fully met all my expectations and provided a smooth introduction to the subject. With the help of the instructor and the course materials, I was able to easily overcome any initial hurdles, allowing me to get started using the agents as quickly as possible.
Daniel Daniel
Senior Software Engineer
I really enjoyed the lessons and learned a lot of new stuff on this course. It teaches not only fundamentals but also how to be prepared for your next challenges. The tooling that is used is very sturdy, works very well in the lab setup and is very diverse, you can pick what you like in your projects. And most importantly: I did not write any piece of code myself, the agents did everything!
Andrei-Flavius Andrei-Flavius
Software Engineer I
The GitHub Copilot for Enterprise Engineering course by Christian Wörz was highly valuable. In just two days, we gained a deep, hands-on understanding of Copilot and how to use it effectively in our enterprise environment. The training was tailored to our needs and provided practical tools and strategies to get the maximum out of GitHub Copilot in our daily work.
Roman Roman
Data Integration / EDI Engineer
Thank you very much for the course. It was very informative and technically excellent!
Timo Timo
Senior ICT System Engineer
Great training on agentic software development. The trainer obviously had lots of hands-on experience with the topic, there was no question that he couldn't answer. Lab environment was very well thought through and helped a lot in practicing what we learned.
Eros Eros
Senior Software Design Engineer
We had high expectations from the DevOps AI training from letsboot.ch and they were all met or overachieved. We had 3 great days with enough theory, the right amount of practical tasks as well as a lot of real-life examples and answers to our questions. For us the real life experience was gold. The lab environment is very well prepared and organized, you have everything there with a pretty modern interface and quite intuitive if you know your way a bit around a linux console. This was a great training and when we need trainings, letsboot.ch will be the first I ask.
Mihail Mihail
Head of Digital Services Operations Technology and Infrastructure
Very concrete and practical training on "Agentic Software Engineering", with a good amount of theoretical background to understand what happens behind the scenes. The instructor was very knowledgeable and willing to answer the multitude of questions.”
Fabio Fabio
Software Engineer I Karakun
Excellent course with a competent and capable trainer, who was highly knowledgable as well as responsive to the participants' questions.
Mike Mike
Software Engineer I Karakun AG
The course was engaging and well-structured. The trainer demonstrated strong expertise in the subject matter, and all our questions were addressed comprehensively.
Danil Danil
Software Engineer I Karakun AG
Very well organized and structured course to dive deep into AI Agentic workflow for developers
Olmo Olmo
Software Engineer I Karakun AG

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