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This practical, hands-on learning program is for software developers and architects who need to:
- Use LLMs deliberately and effectively in their development workflow
- Build agent systems that support application development
- Integrate LLM-powered features into real products
- Apply security practices for LLMs all through the development workflow
- Understand what AI observability requires and how to interpret it
- Evaluate LLM models
Learning Program Content
Fundamentals
Fundamentals of AI-Powered Application Engineering
4 Topics
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Crafting Good Prompts
6 Topics
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LLM Concepts and Control Points
6 Topics
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Agent-Based Development Workflow
Fundamental of Agents
5 Topics
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Multi-Agent Systems
5 Topics
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Engineering LLM-based Application Features
Integrating LLMs in Applications
5 Topics
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Context Infrastructure
5 Topics
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Embeddings and RAG
5 Topics
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Integrating LLMs with Existing Tools
4 Topics
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Architecture Concerns For LLM-Based Applications
Model Selection and Evaluation
7 Topics
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Security for LLM Applications
6 Topics
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Least Privilege in Practice for LLM Systems
5 Topics
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AI Observability
6 Topics
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What's Next?
What’s Next?
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