AIExpert
Ship production AI: RAG, agents, MCP, and MLOps — taught by the engineers companies are paying top dollar to hire.
Taught by Delia Lazarescu & Carly Taylor
AI/ML Technical Growth Lead at Lazer Technologies, Google, Tech Unicorn & Founder, Rebel Data Science
Enroll now
Self-paced · Closed
Payment plan
$81
/moBilled $970/yr
Content78 hrs
EnrollmentOpen anytime
FormatSelf-paced
This program is not accepting enrollments right now!
Learn directly from the experts
Carly Taylor
Founder, Rebel Data Science
Kevin Naughton
Ex-Google Software Engineer & Content Creator
Course syllabus
105 lessons • 78+ 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
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
How to make AI that actualy provides Value Lecture
2
How to make AI that actualy provides Value Lab
3
Big Picture AI Applications Lecture
4
Big Picture AI Applications Lab
5
Evaluations and Reliability MLOps Lecture
6
Evaluations and Reliability MLOps Lab
7
How to deploy AI Agents using Claude managed Agents Lecture
8
How to deploy AI Agents using Claude managed Agents 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
Expert Guest Sessions
1
Li Yin - Founder of Adal (2025-07-10)
2
Conor Brennan - CEO & Founder at Hypersell
3
Vikram Chennai - Founder at Ardent AI
4
Ryan Brandt - CEO at VundaAI
5
Chip Huyen - Author of AI Engineering
6
Data Engineering Interviews with Swetha at OpenAI
7
Tech Talk with Xinran Waibel
8
Future of Data Engineering with Archita
9
Tech Talk - 2
10
Ryan Brandt - CEO at VundaAI (2.0)
11
Carly Taylor - Field CTO at Databricks
12
Li Yin - Founder at Adal (2.0)
13
Li Yin - Founder at Adal (2026-03-13)
14
Brian Pulliam - Career Development Coach
15
Sai Bysani - Lead Data Engineer
16
Vaishali Macwan - Senior Data Scientist
17
Shwetha - Data Engineer at OpenAI
Bonus - LLMs
1
RAG and LLMs Day1 Lecture
2
RAG and LLMs Day1 Lab
3
RAG and LLMs Day2 Lecture
4
RAG and LLMs Day2 Lab
5
LLMs Day 3 Part1
6
LLMs Day3 Part2
Enroll now
Self-paced · Closed
Payment plan
$81
/moBilled $970/yr
Content78 hrs
EnrollmentOpen anytime
FormatSelf-paced
This program is not accepting enrollments right now!
Enroll now
Self-paced · Closed
Payment plan
$81
/moBilled $970/yr
Content78 hrs
EnrollmentOpen anytime
FormatSelf-paced
This program is not accepting enrollments right now!
$81/moBilled $970/yr
Annual