190 minutesLangGraph Complete Course for Beginners – Complex AI Agents with Python
You can build a LangGraph agent with typed state, conditional routing, checkpoints and tool use, and feel where the explicitness pays off.
AdvancedAutomations
Tips for building AI agents
Anthropic. Three Anthropic engineers walking through the most common pitfalls they see — agents that don't know when to stop, over-prompting in the system prompt instead of fixing the environment, the cost of multi-agent designs nobody actually needed. Useful right after Barry's talk; you will recognise the same patterns from a different angle.
AI Expert note
The pitfalls catalogue doubles as a review checklist: stopping rules, prompt-versus-environment fixes, and whether the multi-agent design was ever needed.
What you should get from this
Recognize common agent-building pitfalls before adding multiple agents, complex prompts or hidden state.
Watch or know first
Watch the primary pick first — this assumes the same baseline and adds field pitfalls.
Last reviewed: May 18, 2026
Watch next
Continue through the same learning path with the next curated companion videos.
190 minutes
8 minutesContext Rot: How Increasing Input Tokens Impacts LLM Performance
Understand how long context can fail under ambiguity and distractors, then design tests around that risk.
AdvancedPrompt Engineering
7 minutesMemory for agents (conceptual video)
Separate short-term and long-term memory decisions and decide when agent memory should be written.
AdvancedAutomations
Take it further
Hand-picked external courses that go deeper on this topic.
Microsoft (open-source, via GitHub Pages)Copilot Studio Agent Academy
Microsoft Copilot Studio team
The deeper, production-minded counterpart to our beginner no-code pick: a free, open-source, rank-based curriculum that takes you from zero Copilot Studio experience through MCP integrations and multi-agent orchestration, all without writing traditional code. It's the no-code answer to 'now I want to go further than a quick-start,' which our catalog didn't have.
AdvancedSelf-paced, multi-phase (hours vary by rank)
Anthropic AcademyIntroduction to Model Context Protocol
Anthropic Academy
MCP is the protocol that's quietly replacing one-off tool integrations across the AI tooling ecosystem. Learn it from the source. By the end you'll have built and deployed your own MCP server, connected an LLM client to it, and understood why this standard is the closest thing the field has to USB-C.
IntermediateSelf-paced (short)
DeepLearning.AIPractical Multi AI Agents and Advanced Use Cases with crewAI
João Moura (Founder, CrewAI)
Doubles as our sales and customer-support vertical pick and a genuinely practical agent-building course: you build an agentic sales pipeline (lead scoring, personalized outreach) and a customer-support data-insights pipeline as two of the five hands-on projects, taught by CrewAI's own founder. Requires basic Python, so it sits with our other builder-track courses rather than the no-code picks.
Intermediate~2h 49m · self-paced (15 lessons)