In the third course of the Practical Data Science Specialization, you will learn a series of performance-improvement and cost-reduction techniques to automatically tune model accuracy, compare prediction performance, and generate new training data with human intelligence. After tuning your text classifier using Amazon SageMaker Hyper-parameter Tuning (HPT), you will deploy two model candidates into an A/B test to compare their real-time prediction performance and automatically scale the winning model using Amazon SageMaker Hosting. Lastly, you will set up a human-in-the-loop pipeline to fix misclassified predictions and generate new training data using Amazon Augmented AI and Amazon SageMaker Ground Truth.
This course is part of the Practical Data Science on the AWS Cloud Specialization
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About this Course
Working knowledge of ML & Python, familiarity with Jupyter notebook & stat, completion of the Deep Learning & AWS Cloud Technical Essentials courses
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Human-in-the-Loop Pipelines
- Distributed Model Training and Hyperparameter Tuning
- Cost Savings and Performance Improvements
- A/B Testing and Model Deployment
- Data Labeling at Scale
Working knowledge of ML & Python, familiarity with Jupyter notebook & stat, completion of the Deep Learning & AWS Cloud Technical Essentials courses
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Week 1: Advanced model training, tuning and evaluation
Week 2: Advanced model deployment and monitoring
Week 3: Data labeling and human-in-the-loop pipelines
Reviews
- 5 stars75.26%
- 4 stars18.27%
- 3 stars4.30%
- 2 stars2.15%
TOP REVIEWS FROM OPTIMIZE ML MODELS AND DEPLOY HUMAN-IN-THE-LOOP PIPELINES
A complete Course + Certification + labs to master AWS Data science tools
I have worked in data science field for some years, so make me easier to appreciate the contents prepared by course mentors. Thanks! :)
It's an awesome course to get a feel for A/B testing on cloud environment and Augmented AI
- The network to make practice at AWS not well with my location
- Course's material is great
- Useful knowledge
About the Practical Data Science on the AWS Cloud Specialization

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