AIExpert
Ship production AI: RAG, agents, MCP, and MLOps — taught by the engineers companies are paying top dollar to hire.
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Self-paced · Closed
Payment plan
Free Access
Content85 hrs
EnrollmentOpen anytime
FormatSelf-paced
Course syllabus
132 lessons • 86+ hours of content • 20 assignments
Kickoff & Setup
1
AI Application Setup
2
AI Engineering Bootcamp Kick off
3
Claude Code Onboarding
4
Langchain Starter Repo Setup
Week 1: Prompt Engineering & Basic RAG
1
Prompt Engineering Day 1 Lecture
2
Prompt Engineering Day1 Lab
3
Prompt Engineering + Basic RAG Day 2 Lecture
4
Prompt Engineering + Basic RAG Day 2 Lab
5
Day 1 Lecture: Prompt Engineering Theory
6
Day 1 Lab: Auto Prompt Optimization with dspy
7
Day 2 Lecture: Optimizing Dev Workflows with Cursor and Windsurf
8
Day 2 Lab: Vibe Coding Full Stack application in 45 minutes
9
Supplemental Session on Auto-prompt Optimization
10
Day 1 Lecture: RAG Fundamentals and types of RAG
11
Day 1 Lab: Vectorizing Inputs into Milvus
12
Day 2 Lecture: RAG Tradeoffs
13
Day 2 Lab: Integrating RAG into your full stack app
14
Building functional AI agents using LangChain Day1 Lecture
15
Building functional AI agents using LangChain Day1 Lab
16
Building functional AI agents using LangChain Day2 Lecture
17
Building functional AI agents using LangChain Day2 Lab
Speaker Events Archive
1
Data Engineering Interviews with Swetha at OpenAI
2
Future of Data Engineering with Archita
Week 2: Advanced RAG, Reranking & Dev Workflow
1
RAG optimisation + Reranking Day 1 Lecture
2
RAG optimisation + Reranking Day 1 Lab
3
RAG optimisation + Reranking Day 2 Lecture
4
RAG optimisation + Reranking Day 2 Lab
5
Optimize your dev workflow with Claude Code and Codex Day1 Lecture
6
Optimize your dev workflow with Claude Code and Codex Day1 Lab
7
Optimize your dev workflow with Claude Code and Codex Day2 Lecture
8
Optimize your dev workflow with Claude Code and Codex Day2 Lab
9
Day 1 Lecture: Graph RAG vs Vector RAG
10
Day 1 Lab: Building Graph RAG in production
11
Day 2 Lecture: Types of Agents (reflection, plan-and-execute, rewoo)
12
Day 2 Lab: Enhancing RAG with Agentic AI
Week 3: Agentic AI, MCP & Automation
1
MCP and Agentic AI Day 1 Lecture
2
MCP and Agentic AI Day 1 Lab
3
MCP and Agentic AI Day 2 Lecture
4
MCP and Agentic AI Day 2 Lab
5
OpenClaw and Automating business processes Day1 Lecture
6
OpenClaw and Automating business processes Day1 Lab
7
OpenClaw and Automating business processes Day2 Lecture
8
OpenClaw and Automating business processes Day2 Lab
Week 4: MLOps, Guardrails & Business Value
1
MLOPs and Guardrails Day 1 Lecture
2
MLOPs and Guardrails Day 1 Lab
3
MLOPs and Guardrails Day 2 Lecture
4
MLOPs and Guardrails Day 2 Lab
5
Day 1 Lecture: Trusting your workflows (evaluation metrics and guardrails)
6
Day 1 Lab: Setting up CI/CD for an AI application
7
Day 2 Lecture: Understanding LLM Reasoning traceability
8
Day 2 Lab: Tracing LLM reasoning with LangChain + LangSmith
9
Supplemental lab session on GuardrailsAI
10
OpenClaw Safeguards & Measuring business value for AI Agents Day1 Lecture
11
OpenClaw Safeguards & Measuring business value for AI Agents Day1 Lab
12
OpenClaw Safeguards & Measuring business value for AI Agents Day2 Lecture
13
OpenClaw Safeguards & Measuring business value for AI Agents Day2 Lab
Week 5: End-to-End AI Applications
1
End-to-End AI Applications Day 1 Lecture
2
End-to-End AI Applications Day 1 Lab
3
End-to-End AI Applications Day 2 Lecture
4
End-to-End AI Applications Day 2 Lab
5
End-to-End AI Applications Day1 Lecture
6
End-to-End AI Applications Day1 Lab
7
End-to-End AI Applications Day2 Lecture
8
End-to-End AI Applications Day2 Lab
9
Day 1 Lecture: Leveraging MCP and tools to integrate effectively
10
Day 1 Lab: Using MCP to build more powerful agents
11
Day 2 Lecture: How to link your AI agent to value
12
Day 2 Lab: Building an asynchronous vs synchronous agent
Capstone
1
Lesson 1
Q&A with Zach
1
Q&A with Zach Week 1 (2025-07-10)
2
Q&A with Zach Week 2 (2025-07-18)
3
Q&A with Zach Week 3 (2025-07-25)
4
Q&A with Zach Week 4 (2025-08-01)
5
Q&A with Zach Week 5 (2025-08-08)
6
Q&A with Zach Week 1 (2025-10-09)
7
Q&A with Zach Week 2 (2025-10-09)
8
Q&A with Zach Week 3 (2025-10-09)
9
Q&A with Zach Week 4 (2025-10-09)
10
Q&A with Zach Week 5 (2025-10-09)
11
Q&A with Zach 1
12
Q&A with Zach 2
13
Q&A with Zach 3
14
Q&A with Zach 4
15
Q&A with Zach 5
Tech Talks
1
Tech Talk - Li (2025-07-10)
2
Tech Talk - Conor
3
Tech Talk - Vikram
4
Tech Talk - Ryan
5
Tech Talk - Chip
6
Tech Talk with Xinran Waibel
7
Tech Talk - 2
8
Tech Talk with Ryan
9
Tech Talk with Carly
10
Tech Talk with Li
11
Tech Talk - Li (2026-03-13)
12
Tech Talk - Brian
13
Tech Talk - Sai
14
Tech Talk - Vaishali
15
Tech Talk - Shwetha
TA Office Hours
1
TA Office Hour 1 (2025-07-15)
2
TA Office Hour 2 (2025-07-17)
3
TA Office Hour 3 (2025-07-23)
4
TA Office Hour 4 (2025-07-24)
5
TA Office Hour 5 (2025-07-30)
6
TA Office Hour 6 (2025-07-31)
7
TA Office Hour 7 (2025-08-06)
8
TA Office Hour 8 (2025-08-07)
9
TA Office Hour
10
TA Office Hour 1 (2025-10-09)
11
TA Office Hour 2 (2025-10-09)
12
TA Office Hour 3 (2025-10-09)
13
TA Office Hour 4 (2025-10-09)
14
TA Office Hour 5 (2025-10-09)
15
TA Office Hour 6 (2025-10-09)
16
TA Office Hour 7 (2025-10-09)
17
TA Office Hour 8 (2025-10-09)
18
TA Office hours 1
19
TA Office hours 2
20
TA Office hours 3
21
TA Office hours 4
22
TA Office hours 5
23
TA Office hours 6
24
TA Office hours 7
25
TA Office hours 8
Career Dev Sessions
1
Career Dev Session 2
2
Test Lesson
3
Career Dev Session 4 (2025-08-07)
4
Career Dev Session 1 - Win with soft skills!
5
Career Dev Session 2 - LinkedIn like a Pro!
6
Career Dev Session 3
7
Career Dev Session 4 (2025-10-09)
8
Career Dev Session 5
Enroll now
Self-paced · Closed
Payment plan
Free Access
Content85 hrs
EnrollmentOpen anytime
FormatSelf-paced
Enroll now
Self-paced · Closed
Payment plan
Free Access
Content85 hrs
EnrollmentOpen anytime
FormatSelf-paced
FreeOne-time