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AI Engineering track

Python

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

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

Python for AI Engineering

Concept · Hands-on lab included

2

Python Environments & Dependencies

Concept · Hands-on lab included

3

Data Structures for AI Work

Concept · Hands-on lab included

4

Async Python for AI

Concept · Hands-on lab included

5

Python Packaging & Distribution

Concept · Hands-on lab included

6

Testing Python for AI

Concept · Hands-on lab included

Practice

Hands-on labs

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

Browse all labs

Reproduce an Environment from a Lockfile

20 min · beginner · Python Environments & Dependencies

Build a Streaming Chunk Deduplicator

25 min · intermediate · Data Structures for AI Work

Parallel Embedding-Batch Emulator

25 min · intermediate · Async Python for AI

Continue

Next modules

Keep your learning streak going with related modules.

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APIs

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

0%

Data Handling

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

0%

ML Foundations

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

DevOpsForge - AI Engineering · Python
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