AWS SageMaker and Certified Machine Learning Specialty Exam

Learn about cloud based machine learning algorithms, how to integrate with your applications and Certification Prep

*** UPDATE SEP–2020 Anomaly Detection with Random Cut Forest – Learn the intuition behind anomaly detection using Random Cut Forest.  With labs. ***

*** UPDATE APR–2020 Bring Your Own Algorithm – We take a behind the scene look at the SageMaker Training and Hosting Infrastructure for your own algorithms. With Labs ***

*** UPDATE FEB–2020 Subtitles and Closed Caption Available – I spent several hours cleaning and editing manually for an accurate subtitle ***

*** UPDATE JAN–2020 Timed Practice Test and additional lectures for Exam Preparation added

For  Practice Test, look for the section: 2020 Practice Exam – AWS Certified Machine Learning Specialty

For exam overview, gap analysis and preparation strategy, look for 2020 – Overview – AWS Machine Learning Specialty Exam

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*** UPDATE DEC–2019  Third update for this month!!! AWS Certified Machine Learning Specialty Exam Overview and Preparation Strategies lectures added to the course!  Timed Practice Exam is coming soon!

Also added, two new lectures that gives an overview of all SageMaker Built–in Algorithms, Frameworks and Bring–Your–Own Algorithm Supports

Look for lectures starting with 2020

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*** UPDATE DEC–2019.  In the  Neural Network and Deep Learning section, we will look at  the core concepts behind neural networks, why deep learning is popular these days, different network architectures and hands–on labs to build models using Keras, TensorFlow, Apache MxNet: 2020 Deep Learning and Neural Networks