Until Conference Starts: ✓ Save up to £170 ✓ 10% Team Discount ✓ Parallel Conferences for £250

Please Note: MLcon London 2026 on Wednesday (May 13) and Thursday (May 14), will take place at : QEII Convention Centre

Until Conference Starts: ✓ Save up to £170 ✓ 10% Team Discount ✓ Parallel Conferences for £250

Please Note: MLcon London 2026 on Wednesday (May 13) and Thursday (May 14), will take place at : QEII Convention Centre

Thank you, Amsterdam MLcon community ✓ See you in 2027 ✓ Join the community newsletter for exclusive content

Thank you, Amsterdam MLcon community ✓ See you in 2027✓ Join the community newsletter for exclusive content

Only Until Conference Starts: ✓ Save up to $230 ✓ 10% Team Discount ✓ Access to Parallel Conferences for $250

Only Until Conference Starts: ✓ Save up to $230 ✓ 10% Team Discount ✓ Access to Parallel Conferences for $250

Until Conference Starts: ✓ Save up to 175€ ✓ 10% Team Discount ✓ Access to devmio

Until Conference Starts: ✓ Save up to 175€ ✓ 10% Team Discount ✓ Access to devmio

Only Until June 11: ✓ Save up to $960 ✓ Free Workshop Day ✓ 10% Team Discount

Only Until June 11: ✓ Save up to $960 ✓ Free Workshop Day ✓ 10% Team Discount

Thank you, Berlin MLcon community ✓ 2026 dates soon ✓ Join the community newsletter for exclusive content

Thank you, Berlin MLcon community ✓ 2026 dates soon ✓ Join the community newsletter for exclusive content

Build smarter, faster—AI developer tools engineer AI into reality

Dive into the ecosystem of SDKs, frameworks, orchestration libraries, and tracking tools that empower AI developers. This track explores the platforms, protocols, and best practices that make AI development reproducible, modular, and production-ready

Speaker Programm Program

AI Developer Tools

Learn from Industry Leaders about:

  • Frameworks and SDKs for building and deploying AI models.
  • Orchestration libraries like LangChain for managing complex multi-agent workflows.
  • Using the MCP protocol to structure context in GenAI systems.
  • Tools for experiment tracking, versioning and reproducibility.
  • Best practices for interationg APIs and deploying modular AI pipelines.

Track Speakers London 2026

Track Speakers San Diego 2026

San Diego's program will go live soon! Until then, please take a look at

New York's 2024 Program!

Track Speakers Munich 2026

Track Speakers New York 2025

Track Speakers Amsterdam 2026

Track Speakers Berlin 2025

Track Program London 2026

Track Highlights San Diego 2026

Track Progrm Munich 2026

Track Program New York 2025

Track Program Berlin 2025

Track Program Amsterdam 2026

Track Sessions London 2026

Track Sessions London 2026

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Track Sessions Amsterdam 2026

Track Sessions Amsterdam 2026

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Track Sessions San Diego 2026

Track Sessions San Diego 2026

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Track Sessions MLcon Munich 2026

Track Sessions MLcon Munich 2026

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Track Sessions MLCon New York

Track Sessions MLCon New York

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Track Sessions MLcon Berlin 2025

Track Sessions MLcon Berlin 2025

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Frequently Asked Questions

What is the focus of the AI Developer Tools track?

This track showcases the essential tools developers need to bring AI projects from prototype to production. Topics include orchestration frameworks, SDKs, tracking systems, and integration strategies for scalable AI workflows.

What frameworks and SDKs are covered?

Attendees will explore SDKs in Python and full-stack ML frameworks such as TensorFlow, PyTorch Lightning, and Hugging Face Transformers, with an emphasis on reproducibility, modularity, and API integration.

How do orchestration libraries support AI development?

Orchestration tools like LangChain and Guidance help developers manage prompts, memory, and logic flow across multi-agent or multi-model pipelines. This enables structured execution and fine-grained control of AI behavior.

What is MCP and why does it matter for developers?

The Multi-Agent Communication Protocol (MCP) provides a standard for secure and structured context sharing across LLM agents. This supports agent collaboration and transparency in complex GenAI applications.

How can experiment tracking tools enhance AI workflows?

Tools like MLflow, Weights & Biases, and Neptune help teams log experiments, manage model versions, and compare performance metrics—ensuring consistency across development cycles.

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Weekly
Articles + tutorials

The reads you'd find if you had time

2× / mo
Live webinars

Experts you can actually ask

Monthly
Magazine + whitepapers

Deep dives worth your weekend

On-demand
Recordings + courses

Past conferences, ready when you are

Behind the Tracks

Generative AI & Agents
Unlock the future of AI with LLM advancements.

MLOps & LLMOps
Bridge the gap between model creation and real-world application.

ML & Deep Learning
From Feature Engineering to Explainable AI.

AI Strategy & Governance
Transform business processes with AI-driven strategies.

AI Developer Tools
Build next-generation machine learning applications.

ML Basics & Principles
Gain a solid foundation in core ML concepts.

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