Course library
Forward Future University
Beginner to intermediate
Use this when you want structured creator-led lessons on MCP, agents, and practical AI workflows instead of jumping straight into scattered videos.
AI educator
Matthew Berman
Forward Future
Useful when you want creator-led walkthroughs, current open-source experiments, and practical explanations without reading raw docs all day.
Start with: Start with the OpenClaw guide or a Forward Future University lesson, then use the newsletter to follow adjacent tools only after you ship one example.
Courses and tutorials
Practical guide
Your First AI Agent: A Practical Guide to OpenClaw
Beginner to intermediate
Use this when you want a current agent walkthrough with a concrete tool and a faster path from reading to running something.
Videos from Matthew Berman
Skills
Notable work
- Forward Future University
- Matthew Berman Vibe Coding Playbook
- OpenClaw practical guide
- Builder interviews
Guides, skills, and tools from Matthew Berman
Playbook
The Matthew Berman Vibe Coding Playbook
Beginner to intermediate
Use this when you want Matthew's workflow framing for shipping with AI tools rather than a generic coding-agent overview.
Newsletter
Forward Future
Beginner to intermediate
Use this when you want Matthew Berman's material for ai agents and related AI skills.
Learner questions
Who should learn from Matthew Berman?
Builders, founders, AI-curious operators, developer-adjacent learners should start here when they need ai agents, open-source ai, vibe coding, mcp, and ai workflows. The strongest fit is a learner who wants material in these formats: newsletter, course library, youtube videos, interviews.
What should I do first?
Start with the OpenClaw guide or a Forward Future University lesson, then use the newsletter to follow adjacent tools only after you ship one example. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.
What problem does this help with?
Useful when you want creator-led walkthroughs, current open-source experiments, and practical explanations without reading raw docs all day. Use this profile when you are comparing educators by topic, level, format, and practical usefulness rather than browsing random AI content.
How do I compare this with other educators?
Compare the skill coverage, the starting recommendation, the educator's own resources, and any videos when available. If you need ai agents, search the directory for that skill and shortlist three profiles before committing to a course, book, or playlist.
Similar videos from other educators
These are not by Matthew Berman. They are included only as optional adjacent material after this educator's own videos and resources.
►
How to Build for AI Agents and a Claude Code Second Brain in 25 Min | Ryan Wiggins
Similar video from another educator
Peter Yang · 2026, ai agents, claude code, mcp
►
Claude Code: Build Your First AI Agent
Similar video from another educator
Teacher's Tech · 2026, claude code, ai agents, beginner
►
How to Build Your First AI Agent in 10 Minutes (No Code)
Similar video from another educator
Metics Media · 2026, ai agents, no-code, automation
More related resources
| Resource | Kind | Level | Use when |
|---|---|---|---|
|
Microsoft AI Agents for Beginners
Microsoft
|
GitHub repo | Beginner to intermediate | You want a structured agent learning path with code. |
|
Model Context Protocol Tutorial
Matt Pocock
|
Free tutorial | Intermediate | You want to understand MCP and build TypeScript MCP servers over stdio or HTTP, connect Claude Code to tools, use MCP prompts, and package servers for distribution. |
|
How To Make Codebases AI Agents Love
Matt Pocock
|
Guide | Intermediate | You want to improve a codebase so AI agents can navigate it, run checks, make smaller changes, and recover from mistakes more reliably. |
|
AI Agents in LangGraph
DeepLearning.AI
|
Short course | Intermediate | You want a focused course on building stateful AI agents and agent workflows with LangGraph. |
|
MCP: Build Rich-Context AI Apps with Anthropic
DeepLearning.AI
|
Short course | Intermediate | You want a hands-on MCP course for connecting tools, context, and Claude-powered apps. |
|
Hugging Face MCP Course
Hugging Face
|
Free course | Beginner to intermediate | You want a free structured MCP path with concepts, assignments, SDKs, and a certificate route. |
|
Evaluating AI Agents
DeepLearning.AI
|
Short course | Intermediate | You need to test, trace, and improve agent workflows instead of judging only single LLM responses. |
|
OpenAI MCP and connectors
OpenAI
|
Guide | Intermediate | You need the official OpenAI path for wiring MCP servers and connectors into agent workflows instead of inventing your own tool contract. |
|
OpenAI Secure MCP Tunnel
OpenAI
|
Guide | Intermediate to advanced | You need to expose a private MCP server to OpenAI products without opening inbound firewall ports or publishing the server on the public internet. |
|
OpenAI deep research guide
OpenAI
|
Guide | Intermediate to advanced | You want the official OpenAI path for long-running research tasks that combine reasoning, web search, remote MCP servers, and detailed cited reports. |
|
OpenAI Agents SDK
OpenAI
|
Guide | Intermediate | You are moving past one-off calls and need application-owned orchestration, tools, approvals, and state. |
|
OpenAI Evaluate agent workflows
OpenAI
|
Guide | Intermediate | You need the current OpenAI path for tracing, grading, and regression-testing agent workflows instead of only single-prompt evals. |