Cohort-based courses
Guided programs to get real results.
End-to-End AI Engineering Bootcamp
4.9
·8 weeks·Oct 19 – Dec 13
Aurimas GriciunasFounder @ SwirlAI • Ex CPO @ neptune.ai
AI Inference Engineering & Systems Design
4.9
·8 weeks·Oct 24 – Dec 19
Abi AryanComputer Scientist, ML Engineer & Author
ML for Trading: Foundations
NEW
Stefan JansenAuthor of Machine Learning for Trading
AI Career Residency: From Skills to Impact
19 weeks·Oct 10 – Feb 20
Mohammad Arshad AhmadCEO & Founder, Decoding Data Science
AI for LiDAR Point Cloud Classification
4 weeks·Oct 5 – Oct 30
Abderrazzaq KharroubiPhD 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 FaryadTier-2 IBM Qiskit Advocate
LiDAR Point Clouds Processing in QGIS
5.0
·6 days·Oct 5 – Oct 10.jpg&w=256&q=75)
Abderrazzaq KharroubiPhD 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 FaryadTier-2 IBM Qiskit Advocate
Fine-Tuning Open-Weight LLMs for Engineers
NEW·5 hours·Oct 15
Daniel Voigt GodoyInstructor @ Linux Foundation/DSR
ML for Trading in the Age of AI Agents
NEW·4 hours·Oct 10
Stefan JansenML for Trading · Applied AI · Since 2013
Free Lightning Lessons
Interactive sessions to explore new topics.
How AI Agents Change the ML for Trading Workflow
·Oct 7·30 minutes55 StudentsLive
Stefan JansenBuild Your Own LLM From Scratch (Actually Understand AI)
·60 minutes885 StudentsWatch
Priyanka VergadiaWhat happens when you make an LLM call?
·45 minutes369 StudentsWatch
Abi AryanTurn Eval Results Into a Better Model
·45 minutes511 StudentsWatch
Will Brown, Florian Brand, and Hamel HusainA Bag-of-Documents Model for Query Understanding & Retrieval
·60 minutes270 StudentsWatch
Daniel Tunkelang, Trey Grainger, and Doug TurnbullVector search from zero to production at GitHub
·60 minutes376 StudentsWatch
David Tippett, Trey Grainger, and Doug TurnbullFrom Base Model to Agent: Inside NVIDIA’s PostTraining Stack
·60 minutes451 StudentsWatch
Aishwarya Srinivasan & Arvind Narayan and Chris AlexiukAI for forecasting: foundations models, hype & best practice
·60 minutes142 StudentsWatch
Franz KiralyDemystifying Neural Networks — From Basics to Breakthroughs
·45 minutes1,006 StudentsWatch
Mahesh YadavTraining Agents with Reinforcement Learning
·60 minutes769 StudentsWatch
Will BrownFinetuning LLM for Language Translation
·30 minutes522 StudentsWatch
Manisha Arora and Siddarth RRise of the SLMs: The inevitable future of Language models
·30 minutes357 StudentsWatch
Mahesh YadavHow to choose an OCR Model
·45 minutes320 StudentsWatch
Joe Barrow and Hamel HusainStop picking embedding models off the MTEB leaderboard
·30 minutes178 StudentsWatch
Radu Gheorghe and Hamel HusainNavigating MLOps with Databricks
·30 minutes170 StudentsWatch
Maria Vechtomova and Başak EskiliEvaluating LLMs Beyond Accuracy: Pragmatic Reasoning
·45 minutes163 StudentsWatch
Amir Feizpour and Tara AzinFrom trading idea to validated strategy
·30 minutes130 StudentsWatch
Stefan JansenKickstart Your Recommender System
·60 minutes99 StudentsWatch
Katerina ZanosBuild Your First Simulation Environment for Evals & RL
·Sep 25·60 minutes23 StudentsLive
Aman Khan and Tal RavivUnderstanding Neural Networks: Fundamentals to Innovations
·45 minutes1,753 StudentsWatch
Mahesh YadavNatural Language Search on Semi-Structured Data
·60 minutes1,297 StudentsWatch
Jason Liu and Daniel SvonavaBuild a vector database from scratch
·60 minutes1,106 StudentsWatch
Doug Turnbull and John BerrymanOpen-source AI with Hugging Face
·30 minutes1,016 StudentsWatch
Julien SimonHow to train your tiny MoE: Going from 60+ hours to 13
·60 minutes697 StudentsWatch
Zach MuellerUnsupervised Quantum Machine Learning
·60 minutes625 StudentsWatch
Dr. Muhammad FaryadPractical NLP with LLMs: From Messy Text to Value
·60 minutes599 StudentsWatch
Doug Turnbull and Alexey GrigorevGlean's Embedding Model for Enterprise-Adapted AI
·60 minutes550 StudentsWatch
Jason Liu and Manav RathodYour Complete Guide to Become NVIDIA Certified
·45 minutes542 StudentsWatch
Ashish PrajapatiA Day of AI Engineer
·45 minutes439 StudentsWatch
Alexey GrigorevUpskilling in AI as a Data Scientist
·30 minutes335 StudentsWatch
Manisha AroraUnderstanding DeepSeek R1
·45 minutes316 StudentsWatch
Amir Feizpour and Percy ChenUnderstand SHAP (SHapley Additive exPlanations)
·30 minutes314 StudentsWatch
Patrick HallTrain Your Own AI Models from Scratch
·60 minutes312 StudentsWatch
Nejc Susec and Luka TislerBuild an AI powered recommendation system (in one hour)
·60 minutes308 StudentsWatch
Shreyans BhansaliUnderstanding Innovations leading up to DeepSeek R1
·45 minutes262 StudentsWatch
Amir Feizpour and Suhas PaiCross-encoders: An End-to-end Guide
·60 minutes235 StudentsWatchRadu Gheorghe and Trey GraingerPersonalized Relevance with VLMs and Sparse Vectors
·60 minutes197 StudentsWatch
Piotr Kobziakowski and Trey GraingerDense Vector Retrieval
·30 minutes189 StudentsWatch
Raul Salles de Padua and Can TemizyurekHow to Make High-Level Frameworks Work For You (Part 3)
·30 minutes187 StudentsWatch
Zach MuellerOptimizing Multimodal Vector Search for E-commerce
·60 minutes187 StudentsWatch
Philippe Bouzaglou and Trey GraingerNavigate ML for Trading, 3rd Edition
·30 minutes180 StudentsWatch
Stefan JansenWhy Low-Level Training Frameworks Save Us (Part 2)
·30 minutes178 StudentsWatch
Zach MuellerWhy High-Level Training Frameworks are a Crutch (Part 1)
·30 minutes176 StudentsWatch
Zach MuellerSpec Stacking & Software Factories
·45 minutes164 StudentsWatch
Amir Feizpour and Owen ZanzalPyTorch Hooks from A to `full_backward_hook`
·45 minutes154 StudentsWatch
Zach Muellernbdistributed: Native torch.distributed in Jupyter Notebooks
·60 minutes138 StudentsWatch
Zach MuellerHow to Utilize a Cluster: All About SLURM
·45 minutes131 StudentsWatch
Zach MuellerHow to Design a Metrics-First Recommender System
·60 minutes128 StudentsWatch
Katerina ZanosThe Distributed Training Taxonomy: DP, PP, and more
·45 minutes110 StudentsWatch
Zach MuelllerFine-tuning Small Language Models: dataset to deployment
·30 minutes96 StudentsWatch
Hamid BagheriExploring Open-Source Multi-Agent Frameworks for ML Research
·45 minutes95 StudentsWatch
Amir Feizpour and Mykola BurynokLLMs Empowering RL Agents
·45 minutes71 StudentsWatch
Amir Feizpour and Matthew TaylorOn-Device LLMs: Ship Models to the Edge in 2026
·30 minutes64 StudentsWatch
Ehsan GazarIs Your LLM Task Worth Fine-Tuning?
·45 minutes55 StudentsWatch
Daniel Voigt GodoyBuilding Real World AI-Enabled Features Into Your .NET Apps
·60 minutes54 StudentsWatch
Spencer SchneidenbachBuild Your First ML Model with Python and GenAI
·120 minutes39 StudentsWatch
Mirza Rahim BaigLearn To Work With Open Models To Run Free Coding Agents
·45 minutes39 StudentsWatch.png&w=1536&q=75)
Sol FarahmandMaster Unstructured Data in Python [Free Hands-on workshop]
·60 minutes28 StudentsWatch.jpg&w=1536&q=75)
Mirza Rahim BaigComfyUI Demo: Product Model Training & 3D Dataset Control
·60 minutes23 StudentsWatch
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Dario van Houwelingen, Nejc Susec, and Luka TislerGuidance Beyond Language: Wisdom, Embeddings & LLMs
·60 minutes6 StudentsWatch.png&w=1536&q=75)
CT Academy and Edward KennedyMicrofluidics & Lab-on-a-Chip: What Changes at Small Scales
·Oct 7·45 minutes4 StudentsLive
Jacques Fattaccioli