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RAG & SearchAI for EngineersAgentic AICoding with AIClaude CodeOpenClawMCPAI EvalsMachine LearningLLM OpsContext EngSecuritySystem DesignLeadershipCareer Growth

Cohort-based courses

Guided programs to get real results.

AI-Powered Search: Modern Retrieval for Humans & Agents

4.8
·5 weeks·Nov 3 – Dec 4
Trey Grainger AI Search Expert | Founder | Author
Doug Turnbull Principal Search Engineer | Author

Build Production-Ready AI Agents for the Enterprise

4.8
·8 days·Dec 13 – Dec 20
Doug Turnbull Agentic Search Expert
Hugo Bowne-Anderson AI Builder/Educator (6 Million Students)

Forward Deployed Engineering Bootcamp

4.9
·6 weeks·Nov 14 – Dec 25
Hamza Farooq Founder | Ex-Google | Prof UCLA & UMN

1-day workshops

Short, focused sessions to build specific skills.

Build your own vector database

4.8
·4 hours·Dec 11
Doug Turnbull Led Search + ML at Reddit and Shopify

Free Lightning Lessons

Interactive sessions to explore new topics.
  • RAG Explained: The Architecture Behind Agentic AI Systems

    Watch
    ·30 minutes10,147 Students
    Aishwarya Srinivasan and Arvind Narayan
  • "I don't use RAG, I just retrieve documents"

    Watch
    ·30 minutes5,728 Students
    Benjamin Clavié, Hamel Husain, and Shreya Shankar
  • Modern Information Retrieval Evaluation In The RAG Era

    Watch
    ·45 minutes5,427 Students
    Nandan Thakur, Hamel Husain, and Shreya Shankar
  • Reasoning Opens up New Retrieval Frontiers

    Watch
    ·30 minutes4,873 Students
    Orion Weller, Hamel Husain, and Shreya Shankar
  • The Map Is Not The Territory – Highly Multimodal Search

    Watch
    ·45 minutes4,837 Students
    Bryan Bischof and Ayush Chaurasia
  • Going Further: Late Interaction Beats Single Vector Limits

    Watch
    ·30 minutes4,825 Students
    Antoine Chaffin, Hamel Husain, and Shreya Shankar
  • Mastering RAG-based systems for software engineers

    Watch
    ·45 minutes3,527 Students
    Gaurav Sen
  • Building SQL AI Agents

    Watch
    ·90 minutes3,264 Students
    Aishwarya Srinivasan, Arvind Narayanamurthy, and Rami Krispin
  • The AI Agent Stack in 2026

    Watch
    ·45 minutes3,046 Students
    Aishwarya Naresh Reganti and Kiriti Badam
  • Context Engineering for Agents & Multi-Agent Systems

    Watch
    ·60 minutes2,729 Students
    "Dr. Greg" Loughnane, Ph.D. and Chris "The Wiz" Alexiuk
  • RAG and LLM Fine-Tuning

    Watch
    ·30 minutes2,462 Students
    Dan Becker and Hamel Husain
  • Lessons on retrieval for autonomous coding agents

    Watch
    ·60 minutes2,246 Students
    Jason Liu and Nik Pash
  • RAG in the age of agents. SWE-Bench as a case study.

    Watch
    ·60 minutes1,785 Students
    Jason Liu and Colin Flaherty
  • Practical Design Patterns for RAG

    Watch
    ·45 minutes1,761 Students
    Amir Feizpour and Omid Omidi
  • Building Enterprise RAG Solutions

    Watch
    ·30 minutes1,562 Students
    Hamza Farooq
  • Mastering Agentic RAG & AI Evals

    Watch
    ·60 minutes1,362 Students
    Dr. Ryan Ahmed, Ph.D., MBA and Kukesh Kodess
  • Natural Language Search on Semi-Structured Data

    Watch
    ·60 minutes1,297 Students
    Jason Liu and Daniel Svonava
  • Context Engineering & RAG for PMs: A Live Build

    Watch
    ·60 minutes1,157 Students
    Rajesh Pentakota
  • Rethinking RAG from first principles for agents

    Watch
    ·60 minutes1,145 Students
    Jason Liu and Beyang Liu
  • Hybrid Search Is Just The Beginning: Optimizing the R in RAG

    Watch
    ·45 minutes1,109 Students
    Doug Turnbull and Hamel Husain
  • Build a vector database from scratch

    Watch
    ·60 minutes1,106 Students
    Doug Turnbull and John Berryman
  • How to Answer Agentic AI System Design Questions

    Watch
    ·90 minutes998 Students
    Nachiketh
  • How to Become a Forward Deployed Engineer: Skills & Roadmap

    Watch
    ·45 minutes973 Students
    Priyanka Vergadia
  • Improving retrievers by Reranking and embedding fine-tuning

    Watch
    ·60 minutes971 Students
    Jason Liu and Ayush Chaurasia

Browse by topic

  • AI for Engineers
  • Agentic AI
  • Coding with AI
  • Claude Code
  • OpenClaw
  • MCP
  • RAG & Search
  • AI Evals
  • Machine Learning
  • LLM Ops
  • Context Eng
  • Security
  • System Design
  • Leadership
  • Career Growth
Engineering

RAG & Search

Cohort-based courses

Guided programs to get real results.

AI-Powered Search: Modern Retrieval for Humans & Agents

4.8
·5 weeks·Nov 3 – Dec 4
Trey Grainger AI Search Expert | Founder | Author
Doug Turnbull Principal Search Engineer | Author

Build Production-Ready AI Agents for the Enterprise

4.8
·8 days·Dec 13 – Dec 20
Doug Turnbull Agentic Search Expert
Hugo Bowne-Anderson AI Builder/Educator (6 Million Students)

Forward Deployed Engineering Bootcamp

4.9
·6 weeks·Nov 14 – Dec 25
Hamza Farooq Founder | Ex-Google | Prof UCLA & UMN

1-day workshops

Short, focused sessions to build specific skills.

Build your own vector database

4.8
·4 hours·Dec 11
Doug Turnbull Led Search + ML at Reddit and Shopify

Free Lightning Lessons

Interactive sessions to explore new topics.
  • RAG Explained: The Architecture Behind Agentic AI Systems

    Watch
    ·30 minutes10,147 Students
    Aishwarya Srinivasan and Arvind Narayan
  • "I don't use RAG, I just retrieve documents"

    Watch
    ·30 minutes5,728 Students
    Benjamin Clavié, Hamel Husain, and Shreya Shankar
  • Modern Information Retrieval Evaluation In The RAG Era

    Watch
    ·45 minutes5,427 Students
    Nandan Thakur, Hamel Husain, and Shreya Shankar
  • Reasoning Opens up New Retrieval Frontiers

    Watch
    ·30 minutes4,873 Students
    Orion Weller, Hamel Husain, and Shreya Shankar
  • The Map Is Not The Territory – Highly Multimodal Search

    Watch
    ·45 minutes4,837 Students
    Bryan Bischof and Ayush Chaurasia
  • Going Further: Late Interaction Beats Single Vector Limits

    Watch
    ·30 minutes4,825 Students
    Antoine Chaffin, Hamel Husain, and Shreya Shankar
  • Mastering RAG-based systems for software engineers

    Watch
    ·45 minutes3,527 Students
    Gaurav Sen
  • Building SQL AI Agents

    Watch
    ·90 minutes3,264 Students
    Aishwarya Srinivasan, Arvind Narayanamurthy, and Rami Krispin
  • The AI Agent Stack in 2026

    Watch
    ·45 minutes3,046 Students
    Aishwarya Naresh Reganti and Kiriti Badam
  • Context Engineering for Agents & Multi-Agent Systems

    Watch
    ·60 minutes2,729 Students
    "Dr. Greg" Loughnane, Ph.D. and Chris "The Wiz" Alexiuk
  • RAG and LLM Fine-Tuning

    Watch
    ·30 minutes2,462 Students
    Dan Becker and Hamel Husain
  • Lessons on retrieval for autonomous coding agents

    Watch
    ·60 minutes2,246 Students
    Jason Liu and Nik Pash
  • RAG in the age of agents. SWE-Bench as a case study.

    Watch
    ·60 minutes1,785 Students
    Jason Liu and Colin Flaherty
  • Practical Design Patterns for RAG

    Watch
    ·45 minutes1,761 Students
    Amir Feizpour and Omid Omidi
  • Building Enterprise RAG Solutions

    Watch
    ·30 minutes1,562 Students
    Hamza Farooq
  • Mastering Agentic RAG & AI Evals

    Watch
    ·60 minutes1,362 Students
    Dr. Ryan Ahmed, Ph.D., MBA and Kukesh Kodess
  • Natural Language Search on Semi-Structured Data

    Watch
    ·60 minutes1,297 Students
    Jason Liu and Daniel Svonava
  • Context Engineering & RAG for PMs: A Live Build

    Watch
    ·60 minutes1,157 Students
    Rajesh Pentakota
  • Rethinking RAG from first principles for agents

    Watch
    ·60 minutes1,145 Students
    Jason Liu and Beyang Liu
  • Hybrid Search Is Just The Beginning: Optimizing the R in RAG

    Watch
    ·45 minutes1,109 Students
    Doug Turnbull and Hamel Husain
  • Build a vector database from scratch

    Watch
    ·60 minutes1,106 Students
    Doug Turnbull and John Berryman
  • How to Answer Agentic AI System Design Questions

    Watch
    ·90 minutes998 Students
    Nachiketh
  • How to Become a Forward Deployed Engineer: Skills & Roadmap

    Watch
    ·45 minutes973 Students
    Priyanka Vergadia
  • Improving retrievers by Reranking and embedding fine-tuning

    Watch
    ·60 minutes971 Students
    Jason Liu and Ayush Chaurasia

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