AI Engineering for Developers

About This Program

What You’ll Learn

• Understand how large language models work and where they fail
• Design effective prompts and structured outputs
• Build retrieval-augmented generation (RAG) over your own documents
• Give models tools and build simple agents
• Evaluate, monitor and control cost and quality
• Deploy an AI application responsibly

Curriculum

1. Module 1 Module 1: Foundations (weeks 1–3) 3 topics

   • How LLMs work
   • Using AI APIs from Python
   • Prompting and structured output
2. Module 2 Module 2: Retrieval (weeks 4–6) 3 topics

   • Embeddings and vector search
   • Building a RAG pipeline
   • Chunking, ranking and citations
3. Module 3 Module 3: Tools and agents (weeks 7–9) 3 topics

   • Tool use and function calling
   • Agent loops
   • Safety and guardrails
4. Module 4 Module 4: Production and capstone (weeks 10–13) 3 topics

   • Evaluation and testing
   • Cost, latency and monitoring
   • Capstone AI application

What You’ll Build

• A document question-answering assistant with citations
• An agent that automates a multi-step task with tools
• A deployed capstone AI application with an evaluation suite

Career Outcomes

• AI Engineer (junior)
• Software Engineer working on AI features
• Automation Developer

Who This Program Is For

Requirements

• Working knowledge of Python (or JavaScript and willingness to learn Python basics)
• A laptop or desktop with at least 8 GB of RAM
• A reliable internet connection
• About 10–12 hours a week