Amazon AWS SageMaker, AI and Machine Learning with Python Course
Amazon AWS SageMaker, AI and Machine Learning with Python Course
Hands on AWS ML SageMaker Course with Practice Test. Join Live Study Group Q&A!
Created by Chandra Lingam | 17 hours on-demand video course
Learn about cloud based machine learning algorithms, how to integrate with your applications and Certification Prep
*** NEW Labs – A/B Testing, Multi-model endpoints ***
*** NEW section Emerging AI Trends and Social Issues. How to detect a biased solution, ensure model fairness and prove the fairness ***
*** New Endpoint focused section on how to make SageMaker Endpoint Changes with Zero Downtime ***
*** Lab notebook now use spot-training as the default option. Save over 60% in training costs ***
*** NEW: Nuts and Bolts of Optimization, quizzes ***
*** All code examples and Labs were updated to use version 2.x of the SageMaker Python SDK ***
*** Anomaly Detection with Random Cut Forest – Learn the intuition behind anomaly detection using Random Cut Forest. With labs. ***
*** Bring Your Own Algorithm – We take a behind the scene look at the SageMaker Training and Hosting Infrastructure for your own algorithms. With Labs ***
*** Timed Practice Test and additional lectures for Exam Preparation added
What you’ll learn
- You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud
- AWS Built-in algorithms, Bring Your Own, Ready-to-use AI capabilities
- Complete Guide to AWS Certified Machine Learning – Specialty (MLS-C01)
- Includes a high-quality Timed practice test (a lot of courses charge a separate fee for practice test)
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