THE EVENT IS NOT YET AT CAPACITY, WE'RE INCREASING THE CAPACITY TO 200 TO ACCOUT FOR NO SHOWS. PLEASE JOIN THE WAITLIST - WE WANT TO MAKE SURE WE ACCOMMODATE THE MOST TECHNICAL PROFESSIONALS FIRST.

Date: 4/24 (Thursday)
Time: 5:00 PM - 8:00 PM PT
Location: Microsoft Reactor, San Francisco

Presented by: Lambda & MLOps community

Lambda is the AI Developer Cloud built by ML engineers, for ML engineers. We deliver the AI compute that today’s AI builders actually need: on-demand access to the latest NVIDIA GPUs, 1-click clusters that scale with you, and the lowest-cost inference API available. Whether you're prototyping the latest open source model or scaling custom production workloads, Lambda gives you the power to move fast and build even faster.

The MLOps Community and Lambda is here to share practical solutions to real-world AI problems using open source tools, proven techniques, and the kind of engineering insight you only get from years of engineering for production. No hype. Just the tools, compute, and community to get things done.

About Event

THE EVENT IS NOT YET AT CAPACITY, PLEASE JOIN THE WAITLIST.

This is not your average AI agent workshop. It’s a hands-on masterclass designed for engineers who have moved past toy agents and are ready to deploy real-world, multi-agent AI systems destined for production.

Over the course of three action-packed hours, you’ll learn how to orchestrate intelligent agent workflows that access internal knowledge sources like Confluence, Notion, PDFs, and other company tools to deliver grounded, actionable responses. Along the way, you’ll get hands-on with frameworks like CrewAI, Deeplake, and the Lambda Inference API, learning how to build fast, flexible pipelines and deploy them with confidence.

This is not a theoretical overview but a practical, code-focused event where you'll learn implementation patterns that solve real business problems.

PRE REQUISITES FOR THE EVENT
- Please have Docker, Python 3.12, Git and Slack installed.

Featured Experts

Jerry Liu - CEO, LlamaIndex

João Moura - CEO, Crew AI

Rahul Duggal - ML Engineer, Lambda

Agenda:

4:45 - 5:30 : Doors Open and Networking

Check-in, refreshments, and networking
Technical environment review for the hands-on portions

5:30 PM – 5:40 PM: Welcome & Opening Remarks

Introduction to the workshop goals and structure
Technical overview of what we'll be building

5:40 PM – 6:25 PM: Hands-On Workshop – Part 1

Step-by-step implementation of an agent architecture using Lambda Inference API, LlamaIndex, and Crew AI
Core patterns for reliable, modular agent systems
Grounding agents on proprietary data sources
Building reliable, maintainable multi-agent systems

6:25 PM – 7:15 PM: Advanced Master Class Keynote Sessions by Jerry and Joao

Advanced techniques in real-world agent deployment
Scaling architectures: challenges, trade-offs, and lessons learned
Examples from the field: what works, what doesn’t
Speakers: Jerry Liu (LlamaIndex), João Moura (Crew AI)

7:15 PM – 8:00 PM: Hands-On Workshop – Part 2

Transforming basic agents into production-ready solutions
Practical implementation of:
- Scalable architectures
- Performance optimization strategies
- Concurrency patterns
- Monitoring and observability systems
- Error handling and recovery mechanisms

8:00 PM – Close: Wrap-Up & Networking

Networking with fellow practitioners
Resources for continued learning

What You’ll Walk Away With

A working multi-agent system connected to secure, internal data
Reusable code built with LlamaIndex, CrewAI, and the Lambda Inference API
Patterns for building reliable, grounded, and scalable agents
Hands-on experience deploying AI with modern best practices
$300 of Lambda Inference API credits

Who Should Attend

ML engineers ready to move beyond prototypes
Technical leads building AI tools for internal teams
AI practitioners working with proprietary data
Anyone tired of hallucinating chatbots and looking to build reliable, useful AI

Powered by Lambda

Lambda is the AI Developer Cloud that gives builders the compute and tools to get real work done—from on-demand NVIDIA GPU instances to 1-click clusters and the lowest-cost inference API on the market. We make it easier to prototype fast, iterate often, and deploy at scale.

Who Should Attend

This workshop is specifically designed for:

ML Engineers who have built prototype agents and want to move to production
AI Practitioners working on agent architectures seeking optimization techniques
Technical leaders responsible for implementing agent-based systems
Engineers interested in advanced patterns for agent orchestration and reliability

AI Agent Masterclass Hands-on workshop for building smarter agents )