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
Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization
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
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Get in-depth knowledge of a subject
(30 reviews)
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(30 reviews)
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Fundamentals of Machine Learning Algorithms
Demonstrate AWS Services for Machine Learning.
Preparation for AWS Certified Machine Learning Specialty Certification
Overview
Skills you'll gain
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
28 practice exercises
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
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, Dimensionality Reduction, Data Manipulation, Data Migration, Unsupervised Learning, Machine Learning, Jupyter, Amazon Web Services, Exploratory Data Analysis, Data Cleansing, and Data Collection
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 Sharing, Real Time Data, Data Processing, Data Analysis, Data Transformation, Amazon S3, Exploratory Data Analysis, Data Management, Applied Machine Learning, Data Visualization Software, and Machine Learning
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, Performance Tuning, Amazon Web Services, Applied Machine Learning, Machine Learning Algorithms, and Machine Learning
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
Machine Learning Algorithms, Unsupervised Learning, Regression Analysis, Forecasting, Reinforcement Learning, Time Series Analysis and Forecasting, Supervised Learning, AWS SageMaker, Text Mining, Image Analysis, Classification And Regression Tree (CART), Machine Learning, and Algorithms
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, Data Management, Machine Learning, Cloud Security, Disaster Recovery, MLOps (Machine Learning Operations), AWS Identity and Access Management (IAM), Cloud Computing, Amazon Web Services, Scalability, Technical Design, and Amazon Elastic Compute Cloud
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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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.
More questions
Financial aid available,