Machine Learning Implementation and Operations in AWS
- Offered byCoursera
Machine Learning Implementation and Operations in AWS at Coursera Overview
Duration | 5 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Machine Learning Implementation and Operations in AWS at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 5 of 5 in the Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization
- Beginner Level Minimum two year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud.
- Approx. 5 hours to complete
- English Subtitles: English
Machine Learning Implementation and Operations in AWS at Coursera Course details
- Machine Learning Implementation Operations in AWS is the fifth Course in the AWS Certified Machine Learning Specialty specialization. The course has a major focus on designing and implementing machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 1:00-1:30 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.
- Module 1: Machine Learning Implementation Operations in AWS-Part 1
- Module 2: Machine Learning Implementation Operations in AWS-Part 2
- Minimum two year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud. By the end of this course, Learners will be able to :
- -Design machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance
- -Implement appropriate machine learning services and features for a given problem
- -Develop machine learning solutions with lab
Machine Learning Implementation and Operations in AWS at Coursera Curriculum
Machine Learning Implementation Operations in AWS-Part 1
Introduction- Machine Learning Implementation and Operations
Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance
Recommend and implement the appropriate machine learning services and features for a given problem-Part 1
Recommend and implement the appropriate machine learning services and features for a given problem-Part 2
Course Outline
Welcome to the Course
Machine Learning Implementation Operations in AWS-Part 1 Overview
Machine Learning Implementation Operations in AWS-Part 1 Knowledge Test
Week 1 Assessment
Machine Learning Implementation Operations in AWS-Part 2
Apply basic AWS security practices to machine learning solutions
Deploy and operationalize machine learning solutions with lab-Part 1
Deploy and operationalize machine learning solutions with lab-Part 2
Exam tips
Summary of the course
Exam day tips
Machine Learning Implementation Operations in AWS-Part 2 Overview
Key Takeaways of the Course
Course Conclusion
Week 2 Assessment
Overall Course Assessment Quiz
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