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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

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What's inside

Five courses

Data Engineering in AWS

(0 hours)
Data Engineering in AWS, the first course in the AWS Certified Machine Learning Specialty specialization, helps learners analyze data gathering techniques and handle missing data. This course is divided into two modules, each with lessons and video lectures (2:30-3:00 hours) providing theory and hands-on knowledge. Graded and ungraded quizzes test learners' abilities.

Exploratory Data Analysis in AWS

(0 hours)
Exploratory Data Analysis in AWS is the second course in the AWS Certified Machine Learning Specialty specialization. The main focus of this course is to analyze Data Streams and Data Analytics services in AWS along with exploring Data Analysis in AWS.

Modeling in AWS

(0 hours)
Modeling in AWS, the third course in the AWS Certified Machine Learning Specialty specialization, focuses on training machine learning models by analyzing modeling concepts in AWS. The course is divided into two modules, each with lessons and video lectures providing both theory and hands-on knowledge. Graded and ungraded quizzes are included to test learners' understanding.

ML Algorithms

(0 hours)
ML Algorithms, the fourth course in the AWS Certified Machine Learning Specialty specialization, provides an in-depth exploration of machine learning algorithms. Through video lectures and assessments, learners will gain a comprehensive understanding of algorithm concepts, regression and classification algorithms, reinforcement learning algorithms, and forecasting algorithms.

Machine Learning Implementation and Operations in AWS

(0 hours)
Machine Learning Implementation and Operations in AWS is the fifth course in the AWS Certified Machine Learning Specialty specialization. It focuses on designing and implementing machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance. This course includes video lectures, graded and ungraded quizzes, and hands-on labs.

Learning objectives

  • Fundamentals of machine learning algorithms
  • Demonstrate aws services for machine learning.
  • Preparation for aws certified machine learning specialty certification

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