Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

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.

Can I take the course for free?

No, you cannot take this course for free. 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. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization

Launch your career in Machine Learning. Learn the fundamentals of AWS ML tools to prepare for AWS Certified Machine Learning Specialty Certification

Instructor: Whizlabs Instructor

Included with Coursera Plus

Learn more

5 course series

Get in-depth knowledge of a subject

3.4

(30 reviews)

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 course series

Get in-depth knowledge of a subject

3.4

(30 reviews)

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Fundamentals of Machine Learning Algorithms
Demonstrate AWS Services for Machine Learning.
Preparation for AWS Certified Machine Learning Specialty Certification

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

28 practice exercises

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from Whizlabs

Specialization - 5 course series

Gain Skills to understand the fundamentals of Machine Learning.
Learn working with various AWS Services necessary for Machine Learning.
Hands on Experience working with AWS Management Console.
Prepare for AWS Certified Machine Learning Specialty Certification

Applied Learning Project

Learners will e provided with Lab Demonstrations based on the topics discussed in the courses that are part of this specialization. They will also have the opportunity to practice labs on their AWS Console for hands on demonstrations. However, These hands on labs are optional to be performed by learners.

Data Engineering in AWS

Course 14 hours

What you'll learn

Analyze various data gathering techniques
Analyze techniques to handle missing data
Implement feature extraction and feature selection with Principal Component Analysis and Variance Thresholds

Skills you'll gain

AWS SageMaker, Feature Engineering, Data Migration, Data Manipulation, Dimensionality Reduction, Jupyter, Data Collection, Data Cleansing, Amazon Web Services, Machine Learning, Exploratory Data Analysis, and Unsupervised Learning

Exploratory Data Analysis in AWS

Course 26 hours

What you'll learn

Analyze and visualize data for machine learning
Demonstrate the implementation of Kinesis Data Streams
Examine AWS Glue service with creation of crawler and transform job

Skills you'll gain

Extract, Transform, Load, AWS Kinesis, Amazon Redshift, Data Visualization Software, Data Management, Data Transformation, Data Analysis, Applied Machine Learning, Data Processing, Real Time Data, Exploratory Data Analysis, Machine Learning, Amazon S3, and Data Sharing

Modeling in AWS

Course 34 hours

What you'll learn

Analyze Modeling Concepts and train Machine Learning Models
Examine performance of machine learning models
Implement automatic model tuning by training a model

Skills you'll gain

AWS SageMaker, Predictive Modeling, Data Modeling, Machine Learning, Machine Learning Algorithms, Performance Tuning, Amazon Web Services, and Applied Machine Learning

ML Algorithms

Course 44 hours

What you'll learn

Determine algorithm concepts in ML
Design Regression algorithms and Classification based algorithms
Examine Reinforcement learning algorithms and Forecasting algorithms

Skills you'll gain

Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Time Series Analysis and Forecasting, AWS SageMaker, Reinforcement Learning, Forecasting, Algorithms, Classification And Regression Tree (CART), Machine Learning, Text Mining, and Image Analysis

Machine Learning Implementation and Operations in AWS

Course 56 hours

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

AWS SageMaker, Data Security, Disaster Recovery, Amazon Web Services, MLOps (Machine Learning Operations), Cloud Computing, AWS Identity and Access Management (IAM), Amazon Elastic Compute Cloud, Technical Design, Machine Learning, Data Management, Cloud Security, and Scalability

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Whizlabs Instructor

Whizlabs

132 Courses87,635 learners

Offered by

Whizlabs

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Frequently asked questions

10 Weeks

There is no pre-requisite for the AWS Certified Machine Learning - Specialty Specialization. However, Some recommended knowledge and experience for AWS Certified Machine Learning - Specialty Specialization is described below:

Minimum two year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud.
Experience in handling ML/deep learning frameworks.
Basic understanding and ability to express the purpose of the Machine learning algorithms.
Ability to perform basic hyperparameter optimization.
Ability to incorporate operational and deployment practices.

No, there is no specific order requirement to follow for this specialization. All the courses are Independent.

Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

Advance your subject-matter expertise