AI Engineering Background
Professional AI Engineering Training

Master AI Engineering with Actualize

Transform your development team into AI engineers. Build powerful, production-ready LLM applications with confidence.

For Software Engineers
Corporate Training
Individual Upskilling

Comprehensive Curriculum

From chatbots to agents, master every aspect of AI engineering

1

LLM Fundamentals

  • Understanding LLMs under the hood
  • Token economics and context windows
  • Model selection and capabilities
  • API integration (OpenAI, Anthropic, etc.)
2

Building Chat Applications

  • Prompt engineering and augmentation
  • Memory and state management
  • RAG (Retrieval Augmented Generation)
  • Vector databases and embeddings
3

Crafting Evals

  • Axial and open coding
  • Eval framework creation
  • Eval-driven development
  • Automated evals and LLM-as-judge
4

Assembling Agents

  • Tool use and function calling
  • Running a multi-tool agent loop
  • Agent evaluation
  • Agentic RAG

Created by Jay Wengrow

Author of A Common-Sense Guide to AI Engineering

Educator, Software Engineer

Expert Instruction

Jay's signature approach is to interleave real-time coding with clear explanations, sequencing ideas in the right order for easy understanding.

Hands-On Learning

Build real AI apps from scratch, one line of code at a time. You'll complete assignments and build real projects.

Team Training

Corporate-focused programs designed to upskill entire development teams simultaneously.

Individual Training

Level up your own skills through one of our Maven courses, and learn with likeminded peers.

Production Ready

Focus on building real production-grade apps, not simplistic proof-of-concepts.

From The Ground Up

Learn without frameworks that abstract away critical logic and are brittle in production.

Ready to Transform Your Team?

Invest in your developers' AI engineering skills. Start building the future today.