AI Enablement Training

Get the training you need to build faster, smarter, more engaging applications with AI.

Schedule your training

For Engineering Teams

Take developers from AI-assisted coding to shipping production agentic systems.

Upskill your engineers

For Everyone

Get product, design, operations, and leadership confident and productive with AI.

Enable your whole team

All courses can be combined, customized, and tailored to your team's existing stack and goals.

AI for Engineering Teams

A hands-on path that takes developers from AI-assisted coding to shipping production agentic systems.

By the end, your team can ship AI-powered features and production-ready agents with confidence.

Part 1: Developer Productivity with AI

Transform your development workflow with AI-powered tools. Learn to code faster, debug smarter, and automate repetitive tasks.

Who is this for?

Developers of any experience level who want to supercharge their productivity with AI coding assistants and tools.

Duration

3 hours

Topics covered

  • AI Coding Assistants (Claude Code, Cursor)
  • Effective Prompting for Code Generation
  • Creating Skills and Reusable Workflows
  • AI-Assisted Debugging and Refactoring
  • Automating Documentation and Testing

Part 2: Building AI-Powered Applications

Learn to integrate LLM APIs into your applications. Build chat interfaces, streaming responses, and interactive AI experiences.

Who is this for?

JavaScript developers ready to build AI features into their applications. Familiarity with React is helpful but not required.

Duration

3 hours

Topics covered

  • Working with LLM APIs (OpenAI, Anthropic)
  • Building Chat Interfaces with Streaming
  • Using the Vercel AI SDK
  • Prompt Design and System Messages

Part 3: Agentic Systems and Autonomous Workflows

Go beyond chatbots. Design autonomous agents that plan, use tools, and complete real engineering work, with the context engineering and evals to ship them with confidence.

Who is this for?

Developers who have built basic AI features and want to create more sophisticated, context-aware applications.

Duration

3 hours

Topics covered

  • Building Agents with Tool Use and the Model Context Protocol (MCP)
  • Multi-Agent Orchestration and Subagents
  • Context Engineering for Long-Horizon Tasks
  • Retrieval-Augmented Generation (RAG) and Memory
  • Agent Evals, Observability, and Guardrails

AI for Everyone

No code required. Get product, design, marketing, operations, and leadership confident and productive with AI in their day-to-day work.

By the end, every team uses AI safely and effectively to do their best work, faster.

AI Fluency for Teams

Build everyday confidence with AI. Help your whole team use tools like Claude and ChatGPT effectively, safely, and without the hype.

Who is this for?

Anyone in your organization, no technical background needed. Ideal as a company-wide foundation.

Duration

2 hours

Topics covered

  • Writing Effective Prompts for Everyday Work
  • Knowing When to Trust (and Verify) AI Output
  • Drafting, Summarizing, and Researching with AI
  • Protecting Sensitive Data and Working Safely

AI for Product & Design

Move from idea to prototype faster. Use AI to research, synthesize, and shape better products.

Who is this for?

Product managers, designers, and researchers who want to work faster without writing code.

Duration

3 hours

Topics covered

  • Research Synthesis and User Insights
  • Drafting Specs, PRDs, and User Stories
  • Rapid Prototyping and Concept Exploration
  • Building Custom Agents for Your Team

AI for Leaders

Lead an AI-ready organization. Set the strategy, policy, and culture for adopting AI with confidence.

Who is this for?

Executives, managers, and team leads responsible for rolling out AI across teams.

Duration

3 hours

Topics covered

  • Building an AI Adoption Strategy
  • Identifying High-Value Use Cases
  • Change Management and Team Enablement
  • Measuring Impact and ROI

Responsible AI & Governance

Adopt AI without the risk. Establish the policies, guardrails, and literacy your organization needs.

Who is this for?

Legal, security, compliance, and people-ops teams shaping how AI is used at work.

Duration

2 hours

Topics covered

  • Data Privacy and Security Fundamentals
  • Bias, Accuracy, and Responsible Use
  • Writing an Acceptable-Use Policy
  • Governance and Oversight Frameworks
Pricing

Simple, flexible pricing

Sessions start at $7,500 per 3-hour workshop, with volume discounts for multi-part engagements. Full-day, multi-day, and custom scoped engagements available.

Up to 40 students. Remote.

Ready to start your AI learning journey?

Take the plunge and get your team ready to work with AI at scale in one of our fast, flexible courses.

Schedule your training

Companies that trust Moon Highway

Students from these companies leave our workshops ready to tackle modern AI development.

Trusted by

There is nothing better than Moon Highway's engaging, thoughtful workshops. Each time I take a workshop I know it’s a guaranteed good investment because I’m going to leave confident and prepared to put new skills into action.

Dana Gould
Dana Gould
Software Engineer
WNBA

Moon Highway are best-in-class trainers and experts, and I would highly recommend them if you are looking for anything related to JavaScript, GraphQL, React, and more. I've worked with them over the years, and I’ve never been disappointed with the excellence that they bring to the table every single day.

Tracy Lee
Tracy Lee
CEO
This Dot Labs
Moon Highway Team

About Moon Highway

We started Moon Highway because we believe coding education should be accessible and fun for everyone. We’ve taught workshops for over a decade and have delivered hands-on learning experiences for customers like PayPal, Zillow, and Starbucks.

Since starting Moon Highway in 2012, we have created video content for egghead.io, O'Reilly Media, and LinkedIn Learning. We are frequent conference speakers and have presented at events including React Rally, GraphQL Summit, and OSCON. We are also the authors of O’Reilly’s Learning React and Learning GraphQL.