01What you’ll learn
The full discipline of agentic AI.
From first principles to enterprise scale:
01FoundationsThe basics of AI agents — how they decide and act
02ArchitectureHow multi-agent systems work together
03OperationsHow agents are deployed and run in production
04SecurityZero-trust design for fleets of agents
AGENT
IDLE
I land in Tokyo Friday 6am. Plan my first day — and book what needs booking.
On it. I’ll check the weather, plan a route from your hotel, and book lunch.
1 Checking Friday’s weather… ✓ rain until noon — museums first
2 Routing from your hotel… ✓ teamLab → Shibuya → Shinjuku
3 Booking lunch… ✓ ramen bar, 12:30, for one
Your Friday is planned around the rain — itinerary’s on your calendar, lunch is booked. ✓
You describe the outcome. The agent does the work.
02How you’ll learn
Five minutes is enough.
One idea per card — swipe when you’ve got it. Here’s lesson one:
LESSON ONE
What’s the difference?
LLMvsAGENT
Same brain. Very different powers.
LESSON ONE
An LLM answers in words.
Book me a table at 7pm.
Sure! Here’s how you could book one…
It can explain anything. It can’t do anything.
LESSON ONE
An agent gets it done.
Book me a table at 7pm.
CALLING TOOL…
Foxtrot booked — 7pm, table for 2. ✓
An agent uses tools — so it’s really booked.
CHECK YOURSELF
You ask both to email your team. What happens?
WHAT YOU KEEP
What you keep.
✓ An LLM talks. An agent acts.
✓ An agent = an LLM + tools.
✓ Same brain — the agent changes the world.
Every lesson ends with what you keep.
Swipe → one idea per card · a quick check on every lesson
03Your learning journey
Seven certificates — and prove it.
From your first prompt to enterprise security. Every stage ends in a real assessment — pass it, earn the certificate.
I
START HERENo experience needed · five minutes a day
AI Agents Associate
Proves you can explain how agents work, end to end — what an agent is, how it decides, and how it acts.
II
Agent DeveloperProves you can design and build a working agent.
III
Multi-Agent EngineerProves you can make teams of agents work together.
IV
AgentOps EngineerProves you can run agents in production — reliably, safely, on budget.
V
PydanticAI EngineerProves you can ship typed, durable agents in real code.
VI
LangGraph EngineerProves you can orchestrate complex agent systems.
VII
Agent Security ArchitectProves you can secure agent fleets, zero-trust style.
04What the skill pays
AI roles pay the most in tech — and demand keeps growing.
Every quarter we analyze what U.S. employers actually offer, from official government wage filings.
Read the Salary Report →RoleMedianVs a year ago
ML Engineer$184,300+10.1%AI Engineer$170,000+8.1%All tech roles$127,400+2.4%Median base salary · Q2 2026 · 108,837 U.S. wage filings this quarter. Role medians are this quarter’s offers; the tech-wide median is trailing 12 months.