intermediate · 6h · 4 lessons
AI Agents That Actually Ship
Cut through the agent hype. Build reliable, observable, debuggable multi-step systems.
By the end of this course you will be able to:
- Choose between single-step LLM calls, ReAct agents, and tool-use loops based on the actual problem
- Build agents that fail gracefully and stop on infinite loops
- Add observability with tracing tools like Langfuse or LangSmith
Lessons
LESSON 1
Agents vs. Pipelines
Most 'agent' problems are actually pipeline problems. Use the simpler tool when you can.
14 min →
LESSON 2
Tool Use Fundamentals
Function calling is the spine of every agent. Master it before adding frameworks.
22 min →
LESSON 3
Stop Conditions: Don't Burn $1000 in 3 Minutes
An unbounded agent loop is how startups die. Here's how to bound them.
16 min →
LESSON 4
Observability Is Not Optional
Logging prompt + response + tokens + cost for every call. Or you're flying blind.
16 min →