Master AWS machine learning modeling concepts, from model training to performance evaluation and automatic tuning, designed for ML certification preparation.
Master AWS machine learning modeling concepts, from model training to performance evaluation and automatic tuning, designed for ML certification preparation.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
English
What you'll learn
Analyze and implement modeling concepts in machine learning
Train and deploy machine learning models effectively
Evaluate and optimize model performance
Implement automatic model tuning techniques
Use Amazon Forecast for predictive modeling
Deploy and manage ML models in AWS
Skills you'll gain
This course includes:
1.75 Hours PreRecorded video
6 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.





There are 2 modules in this course
This comprehensive course focuses on machine learning modeling in AWS, covering essential concepts and practical implementations. Students learn to analyze modeling concepts, train machine learning models, evaluate model performance, and implement automatic model tuning. The curriculum includes hands-on labs with AWS services like Amazon Forecast, featuring both theoretical knowledge and practical demonstrations through approximately 1:30-2:00 hours of video lectures. The course is structured to prepare learners for the AWS Certified Machine Learning Specialty certification.
Modeling and Training Machine Learning Models in AWS
Module 1 · 2 Hours to complete
Machine Learning Models: Performance evaluation and Tuning
Module 2 · 1 Hours to complete
Fee Structure
Instructor
Empowering Future Innovators Through Hands-On STEM Learning
Whizz Education partners with educational stakeholders to implement changes to education and accelerate learning, using the "Maths-Whizz" platform1. The organization designs large-scale implementations that are adaptable to different environments and aligned with national curricula
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.