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.
Machine Learning Implementation and Operations in AWS
Machine Learning Implementation and Operations in AWS
This course is part of Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization
Instructor: Whizlabs Instructor
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
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 demonstration
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 2 modules in this course
Welcome to Week 1 of Machine Learning Implementation Operations in AWS Course. This week, we'll get Introduction to the concept of building machine learning solutions. We'll Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance. By the end of this week, we'll Recommend and implement the appropriate machine learning services and features for a given problem
What's included
7 videos3 readings2 assignments1 discussion prompt
Welcome to Week 2 of Machine Learning Implementation Operations in AWS Course. this week we'll Apply basic AWS security practices to machine learning solutions.We'll also Deploy and operationalize machine learning solutions with lab. By the end of last week, we'll be in position to Summarise overall learning of Machine Learning Implementation Operations in AWS Course
What's included
9 videos3 readings2 assignments3 discussion prompts
Instructor
Offered by
Recommended if you're interested in Machine Learning
Amazon Web Services
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Amazon Web Services
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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