AI Engineering: Agents
by Weights & Biases (with OpenAI)
Build and evaluate production-grade agents — tools, memory, and reproducible benchmarking.
Overview
AI Engineering: Agents is a free ~2-hour course from Weights & Biases produced in partnership with OpenAI and taught by Ilan Bigio (OpenAI, Developer Experience) and Anish Shah (Weights & Biases). It teaches how to design reliable agent architectures that combine tool integration, memory systems, context retrieval, and autonomous workflows, then how to evaluate agent performance across accuracy, latency, and cost using reproducible benchmarking methods. The course uses Weave, W&B's toolkit for logging, debugging, and evaluating generative-AI applications, so learners instrument their agents and measure them rather than guessing. It also covers multi-agent collaboration patterns, giving practicing engineers a practical path from a working agent to one that can be trusted and improved in production.
At a Glance
- Topic
- Agentic
- Level
- Intermediate
- Format
- Course
- Cost
- Free
- Duration
- ~2 hours, self-paced
- Provider
- Weights & Biases (with OpenAI)
- Hands-on
- Yes — code/exercises
- Certificate
- None
What You’ll Learn
- ✓Design reliable agent architectures combining tool use, memory, and autonomous workflows
- ✓Evaluate agents on accuracy, latency, and cost with reproducible benchmarking
- ✓Instrument and debug agents using Weave for logging and tracing
- ✓Apply multi-agent collaboration patterns for more complex tasks
Highlights
- •Free, hands-on, and short (~2 hours) — built in partnership with OpenAI
- •Taught by engineers from OpenAI and Weights & Biases
- •Emphasizes measurable evaluation with Weave, not just building demos
Who It’s For
Best For
- ✓AI engineers moving from prototype agents to production-grade, evaluated ones
- ✓Developers who want a fast, practical intro to agent evaluation and observability
Prerequisites
- •Basic Python and familiarity with LLM APIs
- •Understanding of what LLM agents and tools are
FAQ
What is AI Engineering: Agents?
A free, hands-on 2-hour course from Weights & Biases, created with OpenAI, on designing and evaluating production-grade AI agents. Built for AI engineers who want reliable agent architectures with tool use, memory, and measurable performance rather than demos.
Is AI Engineering: Agents free?
AI Engineering: Agents is free to access.
What level is AI Engineering: Agents for?
AI Engineering: Agents is aimed at a intermediate audience. Recommended background: Basic Python and familiarity with LLM APIs, Understanding of what LLM agents and tools are.
How long does AI Engineering: Agents take?
Expect roughly ~2 hours, self-paced. Most learners work through it at their own pace.
What will I learn from AI Engineering: Agents?
You'll learn: Design reliable agent architectures combining tool use, memory, and autonomous workflows; Evaluate agents on accuracy, latency, and cost with reproducible benchmarking; Instrument and debug agents using Weave for logging and tracing; Apply multi-agent collaboration patterns for more complex tasks.