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
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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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Included with 
Get in-depth knowledge of a subject
(29 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
(29 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
- MLOps (Machine Learning Operations)
- Data Collection
- Artificial Intelligence and Machine Learning (AI/ML)
- Applied Machine Learning
- Machine Learning
- Predictive Modeling
- Forecasting
- Feature Engineering
- Machine Learning Algorithms
- Image Analysis
- Data Analysis
- Algorithms
- Scalability
- Reinforcement Learning
- Data Modeling
- Real Time Data
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
Category: AWS SageMaker
Category: Feature Engineering
Category: Dimensionality Reduction
Category: Data Migration
Category: Data Manipulation
Category: Machine Learning
Category: Jupyter
Category: Data Cleansing
Category: Unsupervised Learning
Category: Data Collection
Category: Exploratory Data Analysis
Category: Amazon Web Services
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: Real Time Data
Category: Data Processing
Category: Data Analysis
Category: Data Sharing
Category: Data Transformation
Category: Exploratory Data Analysis
Category: Amazon S3
Category: Data Management
Category: Data Visualization Software
Category: Machine Learning
Category: Applied 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
Category: AWS SageMaker
Category: Applied Machine Learning
Category: Predictive Modeling
Category: Machine Learning
Category: Performance Tuning
Category: Amazon Web Services
Category: Machine Learning Algorithms
Category: Data Modeling
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: Regression Analysis
Category: Unsupervised Learning
Category: Machine Learning Algorithms
Category: Supervised Learning
Category: Reinforcement Learning
Category: AWS SageMaker
Category: Forecasting
Category: Algorithms
Category: Classification And Regression Tree (CART)
Category: Text Mining
Category: Image Analysis
Category: Machine Learning
Category: Artificial Intelligence and Machine Learning (AI/ML)
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: Data Security
Category: Amazon Web Services
Category: Scalability
Category: MLOps (Machine Learning Operations)
Category: Cloud Computing
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Disaster Recovery
Category: Application Deployment
Category: Cloud Security
Category: Machine Learning
Category: Data Management
Category: Applied Machine Learning
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,