Mastering LlamaIndex: From Fundamentals to Building AI Apps Course Course

Module 1: Getting Started

⏳ 5 minutes

• Topics: Course structure, tools, and foundational concepts.

• Hands-on: Explore the learning environment and initial setup.

Module 2: Core Concepts and Using LLMs

⏳ 10 minutes

• Topics: Fundamentals of LlamaIndex and LLM integration.

• Hands-on: Connect to an LLM and perform simple queries.

Module 3: Building a RAG Pipeline

⏳ 7 minutes

• Topics: Retrieval-augmented generation architecture.

• Hands-on: Implement a basic RAG workflow with LlamaIndex.

Module 4: Extracting Structured Outputs from LLMs

⏳ 7 minutes

• Topics: Schema-based data extraction techniques.

• Hands-on: Define and apply a schema to parse unstructured text.

Module 5: Agents and Workflows

⏳ 15 minutes

• Topics: Building single-agent and multi-agent systems with memory.

• Hands-on: Create an AI agent pipeline with shared state and decision logic.

Module 6: Monitoring and Evaluating LLM Applications

⏳ 8 minutes

• Topics: Tracing, debugging, and performance evaluation.

• Hands-on: Instrument a workflow and assess reliability metrics.

Module 7: Building Real-World Applications with LlamaIndex

⏳ 10 minutes

• Topics: End-to-end project implementations (Q&A system, resume optimizer, lesson-plan generator).

• Hands-on: Assemble and deploy a multi-turn document Q&A system.

Module 8: Wrap Up

⏳ 5 minutes

• Topics: Key takeaways and next steps.

• Hands-on: Review and plan your own LlamaIndex project.

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