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AI Engineering track

Cost Optimization

Token economics, model routing, batching and cost governance.

6 concepts3 labs1 challenges
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Concepts

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

1

Token Economics

Concept · Hands-on lab included

2

Model Routing and Tiers

Concept · Hands-on lab included

3

Prompt Compression

Concept · Hands-on lab included

4

Caching for Cost

Concept · Hands-on lab included

5

Request Batching

Concept · Hands-on lab included

6

Cost Monitoring and Budgets

Concept · Hands-on lab included

Practice

Hands-on labs

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

Browse all labs

Read a Token Bill Correctly

25 min · beginner · Token Economics

A Two-Tier Router with Fallback

35 min · intermediate · Model Routing and Tiers

Cuts, Caches and Discounted Reads

30 min · intermediate · Caching for Cost

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Next modules

Keep your learning streak going with related modules.

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Python

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

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APIs

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

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Data Handling

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

DevOpsForge - AI Engineering · Cost Optimization
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