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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·Jun 22 – Aug 16
Aurimas Griciunas Founder @ SwirlAI • Ex CPO @ neptune.ai

AI Problem Framing for Agentic AI

5.0
·3 weeks·Jun 1 – Jun 25
Rajiv Shah AI Engineer with 10+ years of experience

Applied Quantum Machine Learning using Qiskit

4.5
·3 weeks·Jun 2 – Jun 25
Dr. Muhammad Faryad Quantum Machine Learning Scientist

Applied Conformal Prediction

4.7
·3 weeks·Sep 14 – Oct 2
Valeriy Manokhin Conformal Prediction Expert, PhD, Author

AI Career Residency: From Skills to Impact

19 weeks·Jul 11 – Nov 21
Mohammad Arshad Ahmad CEO & Founder, Decoding Data Science

Production-Ready Recommenders for Media Products

5.0
·5 weeks·Jun 24 – Jul 27
Katerina Zanos Principal ML Engineer @ Disney, ex-Meta

Free Lightning Lessons

Interactive sessions to explore new topics.
  • A Bag-of-Documents Model for Query Understanding & Retrieval

    Watch
    ·60 minutes231 Students
    Daniel Tunkelang, Trey Grainger, and Doug Turnbull
  • Spec Stacking & Software Factories

    Live
    ·May 29·45 minutes60 Students
    Amir Feizpour and Owen Zanzal
  • Cross-encoders: An End-to-end Guide

    Live
    ·Jun 17·60 minutes21 Students
    Radu Gheorghe and Trey Grainger
  • Build Quantum Neural Networks in Qiskit

    Watch
    ·45 minutes240 Students
    Dr. Muhammad Faryad
  • Demystifying Neural Networks — From Basics to Breakthroughs

    Watch
    ·45 minutes997 Students
    Mahesh Yadav
  • How to Become a Machine Learning Engineer in 2026

    Watch
    ·30 minutes127 Students
    Aki Wijesundara, PhD and Manu Jayawardana
  • What happens when you make an LLM call?

    Watch
    ·45 minutes231 Students
    Abi Aryan
  • A Day of AI Engineer

    Watch
    ·45 minutes420 Students
    Alexey Grigorev
  • Build your first quantum support vector machine

    Watch
    ·45 minutes335 Students
    Dr. Muhammad Faryad
  • Your Complete Guide to Become NVIDIA Certified

    Watch
    ·45 minutes516 Students
    Ashish Prajapati
  • Rise of the SLMs: The inevitable future of Language models

    Watch
    ·30 minutes345 Students
    Mahesh Yadav
  • Glean's Embedding Model for Enterprise-Adapted AI

    Watch
    ·60 minutes545 Students
    Jason Liu and Manav Rathod
  • Build a vector database from scratch

    Watch
    ·60 minutes1,079 Students
    Doug Turnbull and John Berryman
  • Finetuning LLM for Language Translation

    Watch
    ·30 minutes515 Students
    Manisha Arora and Siddarth R
  • Optimizing Multimodal Vector Search for E-commerce

    Watch
    ·60 minutes172 Students
    Philippe Bouzaglou and Trey Grainger
  • Personalized Relevance with VLMs and Sparse Vectors

    Watch
    ·60 minutes193 Students
    Piotr Kobziakowski and Trey Grainger
  • Kickstart Your Recommender System

    Watch
    ·60 minutes88 Students
    Katerina Zanos
  • Master Unstructured Data in Python [Free Hands-on workshop]

    Watch
    ·60 minutes18 Students
    Mirza Rahim Baig
  • Understand SHAP (SHapley Additive exPlanations)

    Watch
    ·30 minutes310 Students
    Patrick Hall
  • Dense Vector Retrieval

    Watch
    ·30 minutes174 Students
    Raul Salles de Padua and Can Temizyurek
  • Deploy ML Models from Lab to Production

    Watch
    ·30 minutes475 Students
    Akshika Wijesundara
  • Open-source AI with Hugging Face

    Watch
    ·30 minutes1,015 Students
    Julien Simon
  • Upskilling in AI as a Data Scientist

    Watch
    ·30 minutes324 Students
    Manisha Arora
  • Exploring Open-Source Multi-Agent Frameworks for ML Research

    Watch
    ·45 minutes92 Students
    Amir Feizpour and Mykola Burynok
  • LLMs Empowering RL Agents

    Watch
    ·45 minutes70 Students
    Amir Feizpour and Matthew Taylor
  • Navigating MLOps with Databricks

    Watch
    ·30 minutes164 Students
    Maria Vechtomova and Başak Eskili
  • Build an AI powered recommendation system (in one hour)

    Watch
    ·60 minutes304 Students
    Shreyans Bhansali
  • Understanding DeepSeek R1

    Watch
    ·45 minutes316 Students
    Amir Feizpour and Percy Chen
  • Understanding Innovations leading up to DeepSeek R1

    Watch
    ·45 minutes262 Students
    Amir Feizpour and Suhas Pai
  • Demystifying ML Interviews: Insider Tips to Stand Out

    Watch
    ·30 minutes415 Students
    Yayun Jin, Ph.D.
  • Train Your Own AI Models from Scratch

    Watch
    ·60 minutes311 Students
    Nejc Susec and Luka Tisler
  • Natural Language Search on Semi-Structured Data

    Watch
    ·60 minutes1,293 Students
    Jason Liu and Daniel Svonava
  • AI for forecasting: foundations models, hype & best practice

    Watch
    ·60 minutes132 Students
    Franz Kiraly
  • Training Agents with Reinforcement Learning

    Watch
    ·60 minutes742 Students
    Will Brown
  • nbdistributed: Native torch.distributed in Jupyter Notebooks

    Watch
    ·60 minutes137 Students
    Zach Mueller
  • PyTorch Hooks from A to `full_backward_hook`

    Watch
    ·45 minutes153 Students
    Zach Mueller
  • ComfyUI Demo: Product Model Training & 3D Dataset Control

    Watch
    ·60 minutes17 Students
    Dario van Houwelingen, Nejc Susec, and Luka Tisler
  • How to Utilize a Cluster: All About SLURM

    Watch
    ·45 minutes130 Students
    Zach Mueller
  • The Distributed Training Taxonomy: DP, PP, and more

    Watch
    ·45 minutes106 Students
    Zach Muelller
  • Why High-Level Training Frameworks are a Crutch (Part 1)

    Watch
    ·30 minutes174 Students
    Zach Mueller
  • Why Low-Level Training Frameworks Save Us (Part 2)

    Watch
    ·30 minutes178 Students
    Zach Mueller
  • How to Make High-Level Frameworks Work For You (Part 3)

    Watch
    ·30 minutes186 Students
    Zach Mueller
  • Practical NLP with LLMs: From Messy Text to Value

    Watch
    ·60 minutes594 Students
    Doug Turnbull and Alexey Grigorev
  • How to train your tiny MoE: Going from 60+ hours to 13

    Watch
    ·60 minutes688 Students
    Zach Mueller
  • Understanding Neural Networks: Fundamentals to Innovations

    Watch
    ·45 minutes1,750 Students
    Mahesh Yadav
  • How to Design a Metrics-First Recommender System

    Watch
    ·60 minutes123 Students
    Katerina Zanos
  • Building Real World AI-Enabled Features Into Your .NET Apps

    Watch
    ·60 minutes53 Students
    Spencer Schneidenbach
  • Fine-tuning Small Language Models: dataset to deployment

    Watch
    ·30 minutes88 Students
    Hamid Bagheri
  • Build Your First ML Model with Python and GenAI

    Watch
    ·120 minutes38 Students
    Mirza Rahim Baig

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

Machine Learning

Cohort-based courses

Guided programs to get real results.

End-to-End AI Engineering Bootcamp

4.9
·8 weeks·Jun 22 – Aug 16
Aurimas Griciunas Founder @ SwirlAI • Ex CPO @ neptune.ai

AI Problem Framing for Agentic AI

5.0
·3 weeks·Jun 1 – Jun 25
Rajiv Shah AI Engineer with 10+ years of experience

Applied Quantum Machine Learning using Qiskit

4.5
·3 weeks·Jun 2 – Jun 25
Dr. Muhammad Faryad Quantum Machine Learning Scientist

Applied Conformal Prediction

4.7
·3 weeks·Sep 14 – Oct 2
Valeriy Manokhin Conformal Prediction Expert, PhD, Author

AI Career Residency: From Skills to Impact

19 weeks·Jul 11 – Nov 21
Mohammad Arshad Ahmad CEO & Founder, Decoding Data Science

Production-Ready Recommenders for Media Products

5.0
·5 weeks·Jun 24 – Jul 27
Katerina Zanos Principal ML Engineer @ Disney, ex-Meta

Free Lightning Lessons

Interactive sessions to explore new topics.
  • A Bag-of-Documents Model for Query Understanding & Retrieval

    Watch
    ·60 minutes231 Students
    Daniel Tunkelang, Trey Grainger, and Doug Turnbull
  • Spec Stacking & Software Factories

    Live
    ·May 29·45 minutes60 Students
    Amir Feizpour and Owen Zanzal
  • Cross-encoders: An End-to-end Guide

    Live
    ·Jun 17·60 minutes21 Students
    Radu Gheorghe and Trey Grainger
  • Build Quantum Neural Networks in Qiskit

    Watch
    ·45 minutes240 Students
    Dr. Muhammad Faryad
  • Demystifying Neural Networks — From Basics to Breakthroughs

    Watch
    ·45 minutes997 Students
    Mahesh Yadav
  • How to Become a Machine Learning Engineer in 2026

    Watch
    ·30 minutes127 Students
    Aki Wijesundara, PhD and Manu Jayawardana
  • What happens when you make an LLM call?

    Watch
    ·45 minutes231 Students
    Abi Aryan
  • A Day of AI Engineer

    Watch
    ·45 minutes420 Students
    Alexey Grigorev
  • Build your first quantum support vector machine

    Watch
    ·45 minutes335 Students
    Dr. Muhammad Faryad
  • Your Complete Guide to Become NVIDIA Certified

    Watch
    ·45 minutes516 Students
    Ashish Prajapati
  • Rise of the SLMs: The inevitable future of Language models

    Watch
    ·30 minutes345 Students
    Mahesh Yadav
  • Glean's Embedding Model for Enterprise-Adapted AI

    Watch
    ·60 minutes545 Students
    Jason Liu and Manav Rathod
  • Build a vector database from scratch

    Watch
    ·60 minutes1,079 Students
    Doug Turnbull and John Berryman
  • Finetuning LLM for Language Translation

    Watch
    ·30 minutes515 Students
    Manisha Arora and Siddarth R
  • Optimizing Multimodal Vector Search for E-commerce

    Watch
    ·60 minutes172 Students
    Philippe Bouzaglou and Trey Grainger
  • Personalized Relevance with VLMs and Sparse Vectors

    Watch
    ·60 minutes193 Students
    Piotr Kobziakowski and Trey Grainger
  • Kickstart Your Recommender System

    Watch
    ·60 minutes88 Students
    Katerina Zanos
  • Master Unstructured Data in Python [Free Hands-on workshop]

    Watch
    ·60 minutes18 Students
    Mirza Rahim Baig
  • Understand SHAP (SHapley Additive exPlanations)

    Watch
    ·30 minutes310 Students
    Patrick Hall
  • Dense Vector Retrieval

    Watch
    ·30 minutes174 Students
    Raul Salles de Padua and Can Temizyurek
  • Deploy ML Models from Lab to Production

    Watch
    ·30 minutes475 Students
    Akshika Wijesundara
  • Open-source AI with Hugging Face

    Watch
    ·30 minutes1,015 Students
    Julien Simon
  • Upskilling in AI as a Data Scientist

    Watch
    ·30 minutes324 Students
    Manisha Arora
  • Exploring Open-Source Multi-Agent Frameworks for ML Research

    Watch
    ·45 minutes92 Students
    Amir Feizpour and Mykola Burynok
  • LLMs Empowering RL Agents

    Watch
    ·45 minutes70 Students
    Amir Feizpour and Matthew Taylor
  • Navigating MLOps with Databricks

    Watch
    ·30 minutes164 Students
    Maria Vechtomova and Başak Eskili
  • Build an AI powered recommendation system (in one hour)

    Watch
    ·60 minutes304 Students
    Shreyans Bhansali
  • Understanding DeepSeek R1

    Watch
    ·45 minutes316 Students
    Amir Feizpour and Percy Chen
  • Understanding Innovations leading up to DeepSeek R1

    Watch
    ·45 minutes262 Students
    Amir Feizpour and Suhas Pai
  • Demystifying ML Interviews: Insider Tips to Stand Out

    Watch
    ·30 minutes415 Students
    Yayun Jin, Ph.D.
  • Train Your Own AI Models from Scratch

    Watch
    ·60 minutes311 Students
    Nejc Susec and Luka Tisler
  • Natural Language Search on Semi-Structured Data

    Watch
    ·60 minutes1,293 Students
    Jason Liu and Daniel Svonava
  • AI for forecasting: foundations models, hype & best practice

    Watch
    ·60 minutes132 Students
    Franz Kiraly
  • Training Agents with Reinforcement Learning

    Watch
    ·60 minutes742 Students
    Will Brown
  • nbdistributed: Native torch.distributed in Jupyter Notebooks

    Watch
    ·60 minutes137 Students
    Zach Mueller
  • PyTorch Hooks from A to `full_backward_hook`

    Watch
    ·45 minutes153 Students
    Zach Mueller
  • ComfyUI Demo: Product Model Training & 3D Dataset Control

    Watch
    ·60 minutes17 Students
    Dario van Houwelingen, Nejc Susec, and Luka Tisler
  • How to Utilize a Cluster: All About SLURM

    Watch
    ·45 minutes130 Students
    Zach Mueller
  • The Distributed Training Taxonomy: DP, PP, and more

    Watch
    ·45 minutes106 Students
    Zach Muelller
  • Why High-Level Training Frameworks are a Crutch (Part 1)

    Watch
    ·30 minutes174 Students
    Zach Mueller
  • Why Low-Level Training Frameworks Save Us (Part 2)

    Watch
    ·30 minutes178 Students
    Zach Mueller
  • How to Make High-Level Frameworks Work For You (Part 3)

    Watch
    ·30 minutes186 Students
    Zach Mueller
  • Practical NLP with LLMs: From Messy Text to Value

    Watch
    ·60 minutes594 Students
    Doug Turnbull and Alexey Grigorev
  • How to train your tiny MoE: Going from 60+ hours to 13

    Watch
    ·60 minutes688 Students
    Zach Mueller
  • Understanding Neural Networks: Fundamentals to Innovations

    Watch
    ·45 minutes1,750 Students
    Mahesh Yadav
  • How to Design a Metrics-First Recommender System

    Watch
    ·60 minutes123 Students
    Katerina Zanos
  • Building Real World AI-Enabled Features Into Your .NET Apps

    Watch
    ·60 minutes53 Students
    Spencer Schneidenbach
  • Fine-tuning Small Language Models: dataset to deployment

    Watch
    ·30 minutes88 Students
    Hamid Bagheri
  • Build Your First ML Model with Python and GenAI

    Watch
    ·120 minutes38 Students
    Mirza Rahim Baig

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