Course Roadmap

1 min readUpdated May 29, 2026

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16 sections87 chapters

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What is AI Engineering?

The Three Layers of the AI Stack

The Modern AI Landscape

Python Essentials for AI

Functions, Decorators, and Generators

Object-Oriented Python and Dataclasses

Type Hints and Pydantic

Working with Files and Data

Making your first LLM API call

Understanding LLM Parameters

Structured Output from LLMs

Streaming and Conversation Management

Transformer Architecture Simplified

How LLMs Generate Text

The LLM Training Pipeline

What is Prompt Engineering?

Anatomy of an Effective Prompt

Advanced Prompting Techniques

Context Engineering

Prompt Templates and Pipelines

Defending Against Prompt Injection

Prompt Optimization and DSPy

What are Embeddings?

Choosing Embedding Models

Vector Databases

Building a Semantic Search Engine

Scaling Vector Search

Building a Production RAG Pipeline

Advanced Retrieval Techniques

RAG with Citations and Grounding

Evaluating RAG Systems

Conversational RAG

GraphRAG and Knowledge Graphs

From Text Generation to Action

Designing Tool Schemas

Multi-Tool Orchestration

Structured Workflows with Tool Use

Building MCP Clients

Remote MCP Servers

Production MCP Server Patterns

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