​ML & AI Engineering Membership: Learn more, pay less per workshop

​One membership gives you access to our live, hands-on workshops at a member rate. Pick the sessions that fit your goals and learn directly from industry experts.

​1. Choose your pass

• ​3-Workshop Pass, $499.99: 3 live workshops

• ​6-Workshop Pass, $899.99: 6 live workshops, 2 premium past recordings and a 1-month Packt subscription

• ​12-Workshop Pass, $1,699.99: 12 live workshops, 4 premium past recordings and a 3-month Packt subscription

​2. Every pass includes

• ​Member rates on every workshop

• ​Curated content for each session

• ​Premium GitHub repositories

• ​Best-selling ebooks matched to each workshop

​3. What you gain

• ​Practical skills you can apply at work right away

• ​Code and projects you build alongside the instructor

• ​Flexible learning through live sessions and recordings

​4. Upcoming live workshops

• ​Nov 28: Build and Stress-Test a Multi-Asset Portfolio with Python

• ​Nov 28: Time Series Forecasting Bootcamp (2 days)

• ​Nov 28: Advanced LLM Application Engineering: Hybrid RAG, Tools, Memory & Evals

• ​Dec 5: Engineering Reliable LLM Applications with LangGraph, MCP, and AWS

• ​Dec 5: Production ML Engineering for Real-World ML Applications

• ​Dec 13: LLMs for Quant Research: Build Text Signals & Research Agents You Can Trust

• ​Dec 19: Build AI Research Agents with LangGraph

​New workshops are added every month.

​5. Premium past recordings

• ​Algorithmic Trading with Python

• ​Applied Mathematics of Machine Learning

• ​Time series forecasting in Python: End-to-End Practice

• ​Machine learning and generative AI system design

• ​Machine Learning for Trading in the Age of AI Agents

• ​Designing data infrastructure for AI agents & LLMs

• ​Harness Engineering - Build an AI data analyst you can actually trust

• ​Deterministic AI on CPUs and more.

​6. Who should join

• ​ML engineers, data scientists and AI developers and anyone working in the field of data.

• ​Quant researchers and analysts working in Python.

• ​Engineering leads training their teams.

​Pick your pass and register below.