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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.

ML for Trading: Foundations

NEW
Stefan Jansen Author of Machine Learning for Trading

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

1-day workshops

Short, focused sessions to build specific skills.

Optimize Your Stock Portfolio on a Real Quantum Computer

4.9
·14 hours·Jan 12
Dr. Muhammad Faryad Tier-2 IBM Qiskit Advocate

Free Lightning Lessons

Interactive sessions to explore new topics.
  • Understanding Neural Networks: Fundamentals to Innovations

    Watch
    ·45 minutes1,753 Students
    Mahesh Yadav
  • Natural Language Search on Semi-Structured Data

    Watch
    ·60 minutes1,297 Students
    Jason Liu and Daniel Svonava
  • Build a vector database from scratch

    Watch
    ·60 minutes1,106 Students
    Doug Turnbull and John Berryman
  • Open-source AI with Hugging Face

    Watch
    ·30 minutes1,016 Students
    Julien Simon
  • Demystifying Neural Networks — From Basics to Breakthroughs

    Watch
    ·45 minutes1,006 Students
    Mahesh Yadav
  • Build Your Own LLM From Scratch (Actually Understand AI)

    Watch
    ·60 minutes885 Students
    Priyanka Vergadia
  • Training Agents with Reinforcement Learning

    Watch
    ·60 minutes769 Students
    Will Brown
  • How to train your tiny MoE: Going from 60+ hours to 13

    Watch
    ·60 minutes697 Students
    Zach Mueller
  • Unsupervised Quantum Machine Learning

    Watch
    ·60 minutes625 Students
    Dr. Muhammad Faryad
  • Practical NLP with LLMs: From Messy Text to Value

    Watch
    ·60 minutes599 Students
    Doug Turnbull and Alexey Grigorev
  • Glean's Embedding Model for Enterprise-Adapted AI

    Watch
    ·60 minutes550 Students
    Jason Liu and Manav Rathod
  • Your Complete Guide to Become NVIDIA Certified

    Watch
    ·45 minutes542 Students
    Ashish Prajapati
  • Finetuning LLM for Language Translation

    Watch
    ·30 minutes522 Students
    Manisha Arora and Siddarth R
  • Turn Eval Results Into a Better Model

    Watch
    ·45 minutes511 Students
    Will Brown, Florian Brand, and Hamel Husain
  • From Base Model to Agent: Inside NVIDIA’s PostTraining Stack

    Watch
    ·60 minutes451 Students
    Aishwarya Srinivasan & Arvind Narayan and Chris Alexiuk
  • A Day of AI Engineer

    Watch
    ·45 minutes439 Students
    Alexey Grigorev
  • Vector search from zero to production at GitHub

    Watch
    ·60 minutes376 Students
    David Tippett, Trey Grainger, and Doug Turnbull
  • What happens when you make an LLM call?

    Watch
    ·45 minutes369 Students
    Abi Aryan
  • Rise of the SLMs: The inevitable future of Language models

    Watch
    ·30 minutes357 Students
    Mahesh Yadav
  • Upskilling in AI as a Data Scientist

    Watch
    ·30 minutes335 Students
    Manisha Arora
  • How to choose an OCR Model

    Watch
    ·45 minutes320 Students
    Joe Barrow and Hamel Husain
  • Understanding DeepSeek R1

    Watch
    ·45 minutes316 Students
    Amir Feizpour and Percy Chen
  • Understand SHAP (SHapley Additive exPlanations)

    Watch
    ·30 minutes314 Students
    Patrick Hall
  • Train Your Own AI Models from Scratch

    Watch
    ·60 minutes312 Students
    Nejc Susec and Luka Tisler

Browse by topic

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  • Claude Code
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Engineering

Machine Learning

Cohort-based courses

Guided programs to get real results.

ML for Trading: Foundations

NEW
Stefan Jansen Author of Machine Learning for Trading

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

1-day workshops

Short, focused sessions to build specific skills.

Optimize Your Stock Portfolio on a Real Quantum Computer

4.9
·14 hours·Jan 12
Dr. Muhammad Faryad Tier-2 IBM Qiskit Advocate

Free Lightning Lessons

Interactive sessions to explore new topics.
  • Understanding Neural Networks: Fundamentals to Innovations

    Watch
    ·45 minutes1,753 Students
    Mahesh Yadav
  • Natural Language Search on Semi-Structured Data

    Watch
    ·60 minutes1,297 Students
    Jason Liu and Daniel Svonava
  • Build a vector database from scratch

    Watch
    ·60 minutes1,106 Students
    Doug Turnbull and John Berryman
  • Open-source AI with Hugging Face

    Watch
    ·30 minutes1,016 Students
    Julien Simon
  • Demystifying Neural Networks — From Basics to Breakthroughs

    Watch
    ·45 minutes1,006 Students
    Mahesh Yadav
  • Build Your Own LLM From Scratch (Actually Understand AI)

    Watch
    ·60 minutes885 Students
    Priyanka Vergadia
  • Training Agents with Reinforcement Learning

    Watch
    ·60 minutes769 Students
    Will Brown
  • How to train your tiny MoE: Going from 60+ hours to 13

    Watch
    ·60 minutes697 Students
    Zach Mueller
  • Unsupervised Quantum Machine Learning

    Watch
    ·60 minutes625 Students
    Dr. Muhammad Faryad
  • Practical NLP with LLMs: From Messy Text to Value

    Watch
    ·60 minutes599 Students
    Doug Turnbull and Alexey Grigorev
  • Glean's Embedding Model for Enterprise-Adapted AI

    Watch
    ·60 minutes550 Students
    Jason Liu and Manav Rathod
  • Your Complete Guide to Become NVIDIA Certified

    Watch
    ·45 minutes542 Students
    Ashish Prajapati
  • Finetuning LLM for Language Translation

    Watch
    ·30 minutes522 Students
    Manisha Arora and Siddarth R
  • Turn Eval Results Into a Better Model

    Watch
    ·45 minutes511 Students
    Will Brown, Florian Brand, and Hamel Husain
  • From Base Model to Agent: Inside NVIDIA’s PostTraining Stack

    Watch
    ·60 minutes451 Students
    Aishwarya Srinivasan & Arvind Narayan and Chris Alexiuk
  • A Day of AI Engineer

    Watch
    ·45 minutes439 Students
    Alexey Grigorev
  • Vector search from zero to production at GitHub

    Watch
    ·60 minutes376 Students
    David Tippett, Trey Grainger, and Doug Turnbull
  • What happens when you make an LLM call?

    Watch
    ·45 minutes369 Students
    Abi Aryan
  • Rise of the SLMs: The inevitable future of Language models

    Watch
    ·30 minutes357 Students
    Mahesh Yadav
  • Upskilling in AI as a Data Scientist

    Watch
    ·30 minutes335 Students
    Manisha Arora
  • How to choose an OCR Model

    Watch
    ·45 minutes320 Students
    Joe Barrow and Hamel Husain
  • Understanding DeepSeek R1

    Watch
    ·45 minutes316 Students
    Amir Feizpour and Percy Chen
  • Understand SHAP (SHapley Additive exPlanations)

    Watch
    ·30 minutes314 Students
    Patrick Hall
  • Train Your Own AI Models from Scratch

    Watch
    ·60 minutes312 Students
    Nejc Susec and Luka Tisler

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