Is AWS Foundations: Machine Learning Basics beginner friendly?

Yes, this course is designed for beginners. It covers foundational concepts and requires no prior advanced knowledge in the subject area.

How long does it take to complete AWS Foundations: Machine Learning Basics?

The total duration of the course is approximately 28 minutes. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Is this course more theory-focused or project-focused?

This course provides a strong mix of conceptual theory and practical application to ensure a comprehensive understanding of the subject matter.

What careers is this course relevant for?

The skills taught in this course are highly relevant for professionals pursuing roles within Data Science and adjacent technical fields looking to upskill.

Data Science

AWS Foundations: Machine Learning Basics

Name: AWS Foundations: Machine Learning Basics
Availability: InStock

In this course, you get an overview of the concepts, terminology, and processes of the exciting field of machine learning!

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Core Tech

₹10,563/yr

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Core Tech

₹1,254/mo

Pluralsight Teams₹4,166.75 per user/month, billed annually

₹50,004

CompleteBilled Monthly

₹2,370/mo

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Course Insight

Suitable for beginner learners. This course serves as an entry point into Data Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Beginner FriendlySelf-Paced Learning

SKILLS TO
MASTER

Analytics

Exploratory Data Analysis

Modeling

Predictive Machine Learning

SQL Querying

Relational Data Management

Pandas

Matplotlib

Statistics

Tableau

ETL

Careers:Cloud Engineer, DevOps Engineer, Solutions Architect.

💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.

Quick Facts

28 minutes

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What You’ll Learn

AWS Foundations: Machine Learning Basics : 28mins.

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Description

What is machine learning? How can machine learning solve business problems? When is it appropriate to use a machine learning model? What are the phases of a machine learning pipeline? In this course, you get an overview of the concepts, terminology, and processes of the exciting field of machine learning!

See how this course compares with alternatives