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Inferix

Inferix Learn

Agents Course

Design multi-step tool-using agents that are testable and safe in production.

Best for: Teams orchestrating workflows with tools, memory, and approval steps.

What you will cover

  • Tool orchestration and memory strategies
  • Agent evals and regression testing
  • Policy and approval workflows

Progress and resume

0/3 chapters completed (0%)

Resume chapter: 1

Enrolled learners: 9,742

Chapter 1: Agent planning and tool routing

Chapter notes

Select tools from intent + capability, then validate argument schemas before execution.

Interactive exercise

Adjust context size and observe estimated per-request token budget.

Context chunks: 30 | Estimated tokens: 7680

Quiz

What should drive tool selection?

Chapter 2: Memory, state, and workflow control

Chapter notes

Keep short-term memory in prompt context and long-term memory in durable storage.

Interactive exercise

Adjust context size and observe estimated per-request token budget.

Context chunks: 30 | Estimated tokens: 7680

Quiz

Why separate short-term and long-term memory?

Chapter 3: Regression tests and safety rails

Chapter notes

Run golden prompt suites and block releases on quality regressions.

Interactive exercise

Adjust context size and observe estimated per-request token budget.

Context chunks: 30 | Estimated tokens: 7680

Quiz

What is the minimum production guardrail?