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

Enjoy unlimited growth with a year of Coursera Plus for $199 (regularly $399). Save now.

Whizlabs

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

Whizlabs Instructor

Instructor: Whizlabs Instructor

3,844 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
3.5

(32 reviews)

Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
3.5

(32 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

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

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

Data Engineering in AWS

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

Category: Feature Engineering
Category: AWS SageMaker
Category: Data Migration
Category: Dimensionality Reduction
Category: Data Cleansing
Category: Data Collection
Category: Machine Learning
Category: Amazon Web Services
Category: Jupyter
Category: Data Preprocessing

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

Category: Extract, Transform, Load
Category: AWS Kinesis
Category: Amazon Redshift
Category: Machine Learning
Category: Data Pipelines
Category: Data Management
Category: Applied Machine Learning
Category: Amazon S3
Category: Data Sharing
Category: Exploratory Data Analysis
Category: Real Time Data
Category: Data Transformation
Category: Data Visualization Software
Category: Data Analysis
Category: Data Processing
Category: Data Preprocessing
Modeling in AWS

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

Category: AWS SageMaker
Category: Predictive Modeling
Category: Amazon Web Services
Category: Performance Tuning
Category: Data Modeling
Category: Machine Learning Algorithms
Category: Machine Learning
Category: Model Evaluation
ML Algorithms

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

Category: Unsupervised Learning
Category: Regression Analysis
Category: Machine Learning Algorithms
Category: Supervised Learning
Category: Reinforcement Learning
Category: Forecasting
Category: AWS SageMaker
Category: Classification Algorithms
Category: Machine Learning
Category: Algorithms
Category: Image Analysis
Category: Predictive Modeling
Category: Natural Language Processing

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

Category: AWS SageMaker
Category: Machine Learning
Category: MLOps (Machine Learning Operations)
Category: Data Management
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Amazon Elastic Compute Cloud
Category: Disaster Recovery
Category: Technical Design
Category: Model Deployment
Category: Scalability
Category: Amazon Web Services
Category: Continuous Monitoring
Category: Cloud Security

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
138 Courses98,702 learners

Offered by

Whizlabs

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Frequently asked questions