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Courses for learners building core AI fluency.
Agent systems, workflow orchestration, and practical tooling.
Quick-hit courses for a focused weekend sprint.
This course teaches the big ideas in machine learning: how to build and evaluate predictive models, how to tune them for performance, and how to preprocess data
Learners who want structure, deadlines, and instructor momentum.
4 hours
Live
Advanced
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Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.
Experienced builders who need a deeper technical track.
4 hours
Self paced
In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.
Learners who want structure, deadlines, and instructor momentum.
5 hours
Live
Discover the full potential of LLMs with our conceptual course covering LLM applications, training methodologies, ethical considerations, and latest research.
Experienced builders who need a deeper technical track.
2 hours
Self paced
This course covers everything you need to know to build a basic machine learning monitoring system in Python
Experienced builders who need a deeper technical track.
3 hours
Self paced
Learn how polynomial regression models nonlinear relationships. Learn about overfitting, cross-validation, and compare with alternatives like splines and SVR.
Practitioners moving from introductions into applied workflows.
4 hours
Self paced
Master prompt engineering with hands-on exercises. Learn to write effective prompts for ChatGPT, Claude, and other AI tools. Beginner-friendly.
Experienced builders who need a deeper technical track.
1 hour
Self paced
Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.
Experienced builders who need a deeper technical track.
4 hours
Self paced
Take this Python for machine learning and data science course. Discover ML techniques and explore supervised and deep learning to become a scientist.
Experienced builders who need a deeper technical track.
85 hours
Self paced
Master Python machine learning with this curated ML fundamentals course. Learn the science of prediction, pattern recognition, and deep learning.
Experienced builders who need a deeper technical track.
16 hours
Self paced
Learn how to work with streaming data using serverless technologies on AWS.
Learners who want structure, deadlines, and instructor momentum.
4 hours
Live
Discover what data science is, why it's so popular, and learn how to do it with hand-on exercises. There is no code required in this introductory course.
Learners who want structure, deadlines, and instructor momentum.
2 hours
Live
English (US)
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Advanced
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English (US)
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Advanced
Certificate available
English (US)
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Advanced
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English (US)
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Advanced
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English (US)
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Intermediate
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English
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Advanced
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English (US)
recent
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Advanced
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English (US)
recent
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Advanced
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English (US)
recent
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Advanced
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English (US)
recent
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Advanced
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English (US)
recent
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Advanced
Certificate available
English (US)
recent
Official-source checked