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AI Engineering track

AI Security

Prompt injection, data leakage, SSRF via tools and AI-specific threat models.

6 concepts4 labs
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Concepts

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

1

LLM Threat Models

Concept · Hands-on lab included

2

Prompt Injection

Concept · Hands-on lab included

3

Data Leakage

Concept · Hands-on lab included

4

SSRF in Tool Calls

Concept · Hands-on lab included

5

Secure Deployment

Concept · Hands-on lab included

6

AI Incident Response

Concept · Hands-on lab included

Practice

Hands-on labs

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

Browse all labs

Mini Threat Model in Three Tables

25 min · intermediate · LLM Threat Models

Frame Instructions vs Data

35 min · advanced · Prompt Injection

Redact Before Logging

25 min · intermediate · Data Leakage

Draft an Incident Runbook Prototype

35 min · advanced · AI Incident Response

Continue

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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 · AI Security
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