

Free Download Learn to Build Machine Learning Systems – That Don’t Suck π€π₯
A live, interactive program that shows you how to design, build, and deploy production-ready ML systems – no fluff, just action.
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Released: 04/2025
π¬ Format: MP4 | h264, 1920×1080
π§ Audio: AAC, 44.1 KHz, 2 Ch
π£οΈ Language: English
π Lessons: 35 (Total Duration: 16h 52m)
πΎ File Size: 3.9 GB
π Why This Course Rocks:
Tired of boring and theoretical ML courses?
This is your no-BS, practical bootcamp that takes you from 0 β Production.
βοΈ Build real-world ML systems
βοΈ Learn practical, production-level strategies
βοΈ Join live, interactive sessions
βοΈ Get lifetime access + codebase walkthroughs
βοΈ Become job-ready with proven techniques backed by 30+ years of experience
π Course Breakdown:
Pitch, structure & launch real ML projects. Handle discovery phase, data bias, labeling, and quick prototyping.
π’ Day 2 – How To Build A Model (That Works)
Hands-on with data cleaning, feature engineering, model selection, training pipelines, and distributed training.
π’ Day 3 – How To Ensure Models Aren’t Lying
Dive deep into real-world evaluation, business-aligned metrics, error analysis, and data leakage prevention.
π’ Day 4 – How To Serve Predictions (Smartly)
Deploy with intelligence: human-in-the-loop, LoRA, pruning, knowledge distillation & real-world optimizations.
π’ Day 5 – How To Monitor (Because Drift Sucks)
Detect covariate/label/concept drift, feedback loops, adversarial validation & robust monitoring strategies.
π’ Day 6 – How To Build Continual Learning Systems
Automate everything. Incremental learning, A/B tests, shadow deploys, retraining, interleaving experiments.
π§βπ» π» Code Walkthroughs Included
π€ Office Hours
Join live office hours to ask questions, get unstuck, and collaborate with fellow learners. Build your network while building your skills!
π Homepage / Source:
https://www.ml.school/
π₯ Take your ML skills from theory to production.
Start building systems that actually work – and don’t suck.
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