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Machine LearningAI for EngineersAgentic AICoding with AIClaude CodeOpenClawMCPRAG & SearchAI EvalsLLM OpsContext EngSecuritySystem DesignLeadershipCareer Growth

Cohort-based courses

Guided programs to get real results.

End-to-End AI Engineering Bootcamp

4.9
·8 weeks·Oct 19 – Dec 13
Aurimas Griciunas Founder @ SwirlAI • Ex CPO @ neptune.ai

AI Inference Engineering & Systems Design

5.0
·8 weeks·Oct 10 – Dec 5
Abi Aryan Computer Scientist, ML Engineer & Author

ML for Trading: Foundations

NEW
Stefan Jansen Author of Machine Learning for Trading

Privacy-First AI Systems for Healthcare: From Foundations to Agents

5.0
·2 days·Sep 22 – Sep 23
Eric Just 25+ Years Data, Analytics & AI

AI Career Residency: From Skills to Impact

19 weeks·Oct 10 – Feb 20
Mohammad Arshad Ahmad CEO & Founder, Decoding Data Science

AI for LiDAR Point Cloud Classification

5.0
·4 weeks·Oct 5 – Oct 30
Abderrazzaq Kharroubi PhD in Geomatics · LiDAR & AI Specialist

Become a Quantum ML Engineer: Build QML Models on Real Datasets in Qiskit

4.8
·3 weeks·Nov 3 – Nov 26
Dr. Muhammad Faryad Tier-2 IBM Qiskit Advocate

LiDAR Point Clouds Processing in QGIS

5.0
·6 days·Oct 5 – Oct 10
Abderrazzaq Kharroubi PhD in Geomatics · LiDAR & AI Specialist

1-day workshops

Short, focused sessions to build specific skills.

Optimize Your Stock Portfolio on a Real Quantum Computer

4.9
·2 hours·Sep 29
Dr. Muhammad Faryad Tier-2 IBM Qiskit Advocate

Fine-Tuning Open-Weight LLMs for Engineers

NEW·5 hours·Oct 15
Daniel Voigt Godoy Instructor @ Linux Foundation/DSR

ML for Trading in the Age of AI Agents

NEW·4 hours·Oct 10
Stefan Jansen ML for Trading · Applied AI · Since 2013

Free Lightning Lessons

Interactive sessions to explore new topics.
  • Build Your Own LLM From Scratch (Actually Understand AI)

    Watch
    ·60 minutes870 Students
    Priyanka Vergadia
  • How AI Agents Change the ML for Trading Workflow

    Live
    ·Oct 7·30 minutes39 Students
    Stefan Jansen
  • Turn Eval Results Into a Better Model

    Watch
    ·45 minutes509 Students
    Will Brown, Florian Brand, and Hamel Husain
  • What happens when you make an LLM call?

    Watch
    ·45 minutes366 Students
    Abi Aryan
  • From Base Model to Agent: Inside NVIDIA’s PostTraining Stack

    Watch
    ·60 minutes451 Students
    Aishwarya Srinivasan & Arvind Narayan and Chris Alexiuk
  • A Bag-of-Documents Model for Query Understanding & Retrieval

    Watch
    ·60 minutes270 Students
    Daniel Tunkelang, Trey Grainger, and Doug Turnbull
  • Unsupervised Quantum Machine Learning

    Watch
    ·60 minutes625 Students
    Dr. Muhammad Faryad
  • Vector search from zero to production at GitHub

    Watch
    ·60 minutes376 Students
    David Tippett, Trey Grainger, and Doug Turnbull
  • Navigate ML for Trading, 3rd Edition

    Watch
    ·30 minutes180 Students
    Stefan Jansen
  • Build Your First Simulation Environment for Evals & RL

    Live
    ·Sep 18·60 minutes23 Students
    Aman Khan and Tal Raviv
  • Understanding Neural Networks: Fundamentals to Innovations

    Watch
    ·45 minutes1,753 Students
    Mahesh Yadav
  • Demystifying Neural Networks — From Basics to Breakthroughs

    Watch
    ·45 minutes1,006 Students
    Mahesh Yadav
  • Training Agents with Reinforcement Learning

    Watch
    ·60 minutes769 Students
    Will Brown
  • How to choose an OCR Model

    Watch
    ·45 minutes320 Students
    Joe Barrow and Hamel Husain
  • Navigating MLOps with Databricks

    Watch
    ·30 minutes170 Students
    Maria Vechtomova and Başak Eskili
  • Deploy ML Models from Lab to Production

    Watch
    ·30 minutes84 Students
    Akshika Wijesundara
  • Build a vector database from scratch

    Watch
    ·60 minutes1,106 Students
    Doug Turnbull and John Berryman
  • Practical NLP with LLMs: From Messy Text to Value

    Watch
    ·60 minutes599 Students
    Doug Turnbull and Alexey Grigorev
  • Finetuning LLM for Language Translation

    Watch
    ·30 minutes522 Students
    Manisha Arora and Siddarth R
  • Cross-encoders: An End-to-end Guide

    Watch
    ·60 minutes235 Students
    Radu Gheorghe and Trey Grainger
  • Stop picking embedding models off the MTEB leaderboard

    Watch
    ·30 minutes178 Students
    Radu Gheorghe and Hamel Husain
  • Why High-Level Training Frameworks are a Crutch (Part 1)

    Watch
    ·30 minutes176 Students
    Zach Mueller
  • Evaluating LLMs Beyond Accuracy: Pragmatic Reasoning

    Watch
    ·45 minutes163 Students
    Amir Feizpour and Tara Azin
  • AI for forecasting: foundations models, hype & best practice

    Watch
    ·60 minutes141 Students
    Franz Kiraly

Browse by topic

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

Machine Learning

Cohort-based courses

Guided programs to get real results.

End-to-End AI Engineering Bootcamp

4.9
·8 weeks·Oct 19 – Dec 13
Aurimas Griciunas Founder @ SwirlAI • Ex CPO @ neptune.ai

AI Inference Engineering & Systems Design

5.0
·8 weeks·Oct 10 – Dec 5
Abi Aryan Computer Scientist, ML Engineer & Author

ML for Trading: Foundations

NEW
Stefan Jansen Author of Machine Learning for Trading

Privacy-First AI Systems for Healthcare: From Foundations to Agents

5.0
·2 days·Sep 22 – Sep 23
Eric Just 25+ Years Data, Analytics & AI

AI Career Residency: From Skills to Impact

19 weeks·Oct 10 – Feb 20
Mohammad Arshad Ahmad CEO & Founder, Decoding Data Science

AI for LiDAR Point Cloud Classification

5.0
·4 weeks·Oct 5 – Oct 30
Abderrazzaq Kharroubi PhD in Geomatics · LiDAR & AI Specialist

Become a Quantum ML Engineer: Build QML Models on Real Datasets in Qiskit

4.8
·3 weeks·Nov 3 – Nov 26
Dr. Muhammad Faryad Tier-2 IBM Qiskit Advocate

LiDAR Point Clouds Processing in QGIS

5.0
·6 days·Oct 5 – Oct 10
Abderrazzaq Kharroubi PhD in Geomatics · LiDAR & AI Specialist

1-day workshops

Short, focused sessions to build specific skills.

Optimize Your Stock Portfolio on a Real Quantum Computer

4.9
·2 hours·Sep 29
Dr. Muhammad Faryad Tier-2 IBM Qiskit Advocate

Fine-Tuning Open-Weight LLMs for Engineers

NEW·5 hours·Oct 15
Daniel Voigt Godoy Instructor @ Linux Foundation/DSR

ML for Trading in the Age of AI Agents

NEW·4 hours·Oct 10
Stefan Jansen ML for Trading · Applied AI · Since 2013

Free Lightning Lessons

Interactive sessions to explore new topics.
  • Build Your Own LLM From Scratch (Actually Understand AI)

    Watch
    ·60 minutes870 Students
    Priyanka Vergadia
  • How AI Agents Change the ML for Trading Workflow

    Live
    ·Oct 7·30 minutes39 Students
    Stefan Jansen
  • Turn Eval Results Into a Better Model

    Watch
    ·45 minutes509 Students
    Will Brown, Florian Brand, and Hamel Husain
  • What happens when you make an LLM call?

    Watch
    ·45 minutes366 Students
    Abi Aryan
  • From Base Model to Agent: Inside NVIDIA’s PostTraining Stack

    Watch
    ·60 minutes451 Students
    Aishwarya Srinivasan & Arvind Narayan and Chris Alexiuk
  • A Bag-of-Documents Model for Query Understanding & Retrieval

    Watch
    ·60 minutes270 Students
    Daniel Tunkelang, Trey Grainger, and Doug Turnbull
  • Unsupervised Quantum Machine Learning

    Watch
    ·60 minutes625 Students
    Dr. Muhammad Faryad
  • Vector search from zero to production at GitHub

    Watch
    ·60 minutes376 Students
    David Tippett, Trey Grainger, and Doug Turnbull
  • Navigate ML for Trading, 3rd Edition

    Watch
    ·30 minutes180 Students
    Stefan Jansen
  • Build Your First Simulation Environment for Evals & RL

    Live
    ·Sep 18·60 minutes23 Students
    Aman Khan and Tal Raviv
  • Understanding Neural Networks: Fundamentals to Innovations

    Watch
    ·45 minutes1,753 Students
    Mahesh Yadav
  • Demystifying Neural Networks — From Basics to Breakthroughs

    Watch
    ·45 minutes1,006 Students
    Mahesh Yadav
  • Training Agents with Reinforcement Learning

    Watch
    ·60 minutes769 Students
    Will Brown
  • How to choose an OCR Model

    Watch
    ·45 minutes320 Students
    Joe Barrow and Hamel Husain
  • Navigating MLOps with Databricks

    Watch
    ·30 minutes170 Students
    Maria Vechtomova and Başak Eskili
  • Deploy ML Models from Lab to Production

    Watch
    ·30 minutes84 Students
    Akshika Wijesundara
  • Build a vector database from scratch

    Watch
    ·60 minutes1,106 Students
    Doug Turnbull and John Berryman
  • Practical NLP with LLMs: From Messy Text to Value

    Watch
    ·60 minutes599 Students
    Doug Turnbull and Alexey Grigorev
  • Finetuning LLM for Language Translation

    Watch
    ·30 minutes522 Students
    Manisha Arora and Siddarth R
  • Cross-encoders: An End-to-end Guide

    Watch
    ·60 minutes235 Students
    Radu Gheorghe and Trey Grainger
  • Stop picking embedding models off the MTEB leaderboard

    Watch
    ·30 minutes178 Students
    Radu Gheorghe and Hamel Husain
  • Why High-Level Training Frameworks are a Crutch (Part 1)

    Watch
    ·30 minutes176 Students
    Zach Mueller
  • Evaluating LLMs Beyond Accuracy: Pragmatic Reasoning

    Watch
    ·45 minutes163 Students
    Amir Feizpour and Tara Azin
  • AI for forecasting: foundations models, hype & best practice

    Watch
    ·60 minutes141 Students
    Franz Kiraly

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