Develop Production LLM Applications

TechAdvancedHome

90 minutes

5 steps

·Advanced

After 90 min: A production-grade application using LLMs with proper error handling and monitoring

What you need

LaptopPythonLangChainOpenAI APIVector database

The 90-Minute Plan

Understand LLM Frameworks0–15 min

Explore LangChain, LlamaIndex. Learn about chains and agents.

Build RAG System15–35 min

Implement Retrieval Augmented Generation using vector embeddings.

Create Agents35–55 min

Build multi-step agents that can use tools and make decisions.

Implement Safety55–75 min

Add input validation, rate limiting, and output filtering.

Ship & next steps75–90 min

Deploy application. Monitor costs and usage. Next: implement fine-tuning.

Pro Tip

Test extensively for edge cases and harmful outputs. Monitor token usage closely.

90 min·5 steps

TechBeginner

After 90 min: A working chatbot that answers questions about a topic you choose

10,234

see the plan

90 min·5 steps

TechIntermediate

After 90 min: An AI model customized for your specific business or interest domain

8,567

see the plan

90 min·5 steps

TechAdvanced

After 90 min: A reusable library of UI components for your projects and team

9,456

see the plan

90 min·5 steps

TechAdvanced

After 90 min: A scalable microservices architecture for a distributed application

7,234

see the plan