AWS Machine Learning Specialty
Master the future of AI and cloud with the AWS Certified Machine Learning – Specialty course.
This course is designed for professionals who want to validate their expertise in designing, implementing, and deploying machine learning models on AWS. Gain deep insights into data engineering, exploratory data analysis, modeling, and machine learning operations (MLOps) – all on the powerful AWS platform.
- 4.5/5.0
- 12k Enrolled
- All levels
- Last updated 09/2021
- English
Course description
This course is designed for professionals who want to validate their expertise in designing, implementing, and deploying machine learning models on AWS. Gain deep insights into data engineering, exploratory data analysis, modeling, and machine learning operations (MLOps) – all on the powerful AWS platform.
At Upgrad My Career, our goal is not just to help you pass the exam — but to ensure you gain real-world, job-ready skills that you can immediately apply in your organization or project. This comprehensive training program is curated by industry experts and AWS-certified instructors, and it dives deep into every key aspect of machine learning on AWS.
Whether you are a data scientist, developer, or a tech-savvy professional looking to break into AI/ML, this course provides a perfect blend of theory, hands-on labs, and practical insights that align with the MLS-C01 certification exam and beyond.
You will gain expertise in data engineering, exploratory data analysis, model development, training and tuning, deployment, and automation using a wide range of AWS services such as SageMaker, Glue, Redshift, Kinesis, Lambda, and more.
What you’ll learn
- Identify and frame business problems as machine learning problems
- Select and justify appropriate ML approaches for a given business use case
- Design and implement scalable, secure, and reliable ML solutions on AWS
- Automate and monitor ML workflows using AWS tools like SageMaker
- Handle real-world datasets, evaluate models, and apply best practices for model deployment
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Frequently Asked Questions
What is the AWS Certified Machine Learning – Specialty certification?
The AWS Certified Machine Learning – Specialty (MLS-C01) certification is designed for professionals who want to validate their ability to build, train, tune, and deploy machine learning models on AWS. It covers end-to-end ML workflows and tests your practical knowledge of AWS services.
Who should take this course?
This course is ideal for: Data Scientists Machine Learning Engineers Cloud Engineers AI/ML Specialists Developers with experience in ML or AWS Anyone looking to gain specialized knowledge in machine learning on AWS is encouraged to enroll.
What are the prerequisites for this course?
To make the most of this course, it is recommended that learners have: Basic understanding of machine learning concepts Some hands-on experience with Python Familiarity with AWS services (preferred but not mandatory) We offer foundational modules to help beginners catch up quickly.
Is this course suitable for beginners?
While the certification is at a specialty level, our course is structured in a way that even motivated beginners with some programming and data knowledge can follow along and succeed.
What is the duration of the course?
The course offers 40+ hours of learning content, including: Video lectures Hands-on labs Quizzes Capstone projects You can complete it at your own pace, but most learners finish in 6–8 weeks.
Does this course provide hands-on practice?
Yes. The course includes multiple hands-on labs and real-world projects using AWS services like SageMaker, S3, Glue, Lambda, and more to ensure practical experience alongside theoretical learning.
This course includes
- Lectures 30
- Duration 4h 50m
- Skills Beginner
- Language English
- Deadline Nov 30 2021
- Certificate Yes
By Jacqueline Miller
Founder Eduport company
- 4.5/5.0