What Does a Java Developer Do?
September 17, 2024
Article
This course is part of Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization
Instructor: Whizlabs Instructor
Included with
Recommended experience
Beginner level
You should have Minimum 2 year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud.
Recommended experience
Beginner level
You should have Minimum 2 year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud.
Analyze Modeling Concepts and train Machine Learning Models
Examine performance of machine learning models
Implement automatic model tuning by training a model
Add to your LinkedIn profile
6 assignments
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
Modeling in AWS is the third course in the AWS Certified Machine Learning Specialty specialization. The major focus of this course is to train Machine learning Models by analyzing Modeling concepts in AWS. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 1:30 Hours- 2:00 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: Modeling and Training Machine Learning Models in AWS Module 2: Machine Learning Models: Performance evaluation and Tuning By the end of this course, Learners will be able to : 1. Analyze Modeling Concepts and train Machine Learning Models 2. Examine performance of machine learning models 3. Implement automatic model tuning by training a model
Welcome to Week 1 of Modeling in AWS course. We’ll Introduce Modeling Concepts in Machine Learning in the beginning. We’ll also describe the concept of Training machine learning models. The week will end with a demonstration on how to train machine learning models.
8 videos3 readings3 assignments1 discussion prompt
Welcome to Week 2 of Modeling in AWS course. In this week, we'll deploy and evaluate performance of ML models. We'll also perform automatic model tuning in ML. By the end of this week, we'll Train a model after automatic model tuning.
6 videos3 readings3 assignments
Providing certification training since the year 2000, Whizlabs is the pioneer among online training providers across the globe. We are dedicated to helping you learn the skills you need to transform your career in the IT industry. We provide certification training in the form of Video Courses, Practice Tests, Hands-on Labs and Sandbox in various disciplines such as Cloud Computing, DevOps, Cyber Security, Java, Big Data, Snowflake, CompTIA, Agile, Linux, CCNA, Blockchain, and much more.
Whizlabs
Course
Course
LearnKartS
Course
LearnKartS
Course
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
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:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
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.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.