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AI Engineering track

APIs

HTTP, REST, auth, rate limits, SDK patterns and API design for AI systems.

6 concepts3 labs
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Concepts

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Work through the concepts in order, or jump to what you need.

1

HTTP & REST for AI

Concept · Hands-on lab included

2

API Authentication & Secrets

Concept · Hands-on lab included

3

Rate Limits & Retry Strategies

Concept · Hands-on lab included

4

Model SDK Patterns

Concept · Hands-on lab included

5

Debugging API Errors

Concept · Hands-on lab included

6

Designing APIs for AI

Concept · Hands-on lab included

Practice

Hands-on labs

Apply what you've learned in guided, production-style environments.

Browse all labs

Build a Keyless Auth Inspector

25 min · intermediate · API Authentication & Secrets

Emulate a Provider Rate Limiter

30 min · intermediate · Rate Limits & Retry Strategies

Build a Provider-Agnostic Chat Client

35 min · intermediate · Model SDK Patterns

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The Python skills AI engineering builds on — typing, async, packaging and testing.

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Preparing documents, JSON, embeddings pipelines and data validation for AI.

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What ML engineers assume — models, training, features and evaluation basics.

DevOpsForge - AI Engineering · APIs
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