AWS Machine Learning Foundations

About this course

This AWS Machine Learning Foundations course is a comprehensive prep plan designed by Amazon Web Services to equip you with the knowledge needed to excel as an ML engineer on AWS. You'll build a solid foundation in machine learning concepts and learn how to implement ML solutions using AWS's industry-leading tools and services. As one of the world's largest cloud providers, AWS's training carries real weight in the tech industry—this free course gives you access to the same quality content that powers AWS's official certification prep.

What you'll learn

• Core machine learning concepts: supervised and unsupervised learning, regression, classification, and clustering
• How to prepare, clean, and explore datasets for ML workflows using AWS tools
• Building and training ML models with Amazon SageMaker, AWS's managed machine learning platform
• Model evaluation, validation, and optimization techniques to improve accuracy and performance
• Deploying and managing ML models in production on AWS infrastructure
• Best practices for securing, monitoring, and maintaining ML systems at scale
• Real-world application patterns and case studies from AWS's customer base

Who this is for

You're a good fit for this course if you have foundational programming knowledge and want to move into machine learning engineering. Whether you're switching careers, preparing for a new role, or leveling up your skills, this course bridges the gap between general programming and specialized ML work on cloud infrastructure.

• Career-switchers and developers — gain deep ML engineering expertise on the cloud platform used by most Fortune 500 companies hiring in India
• Data professionals — transition from analysis into ML model development and production deployment

Prerequisites

Comfort with basic programming (Python is ideal), familiarity with fundamental statistics and algebra, and a willingness to work with cloud services. This is an intermediate course, so prior experience with data analysis or software development is assumed.

Why this matters for Indian learners

ML engineering roles in India are growing rapidly at tech giants like TCS, Infosys, HCL, and startups across Bangalore, Hyderabad, and Mumbai—and AWS expertise is a direct job multiplier. Indian companies are increasingly adopting AWS for their ML infrastructure, and professionals who can build and deploy ML models on AWS command competitive salaries and better career mobility. This free course removes the barrier of expensive training, letting you upskill on the exact platform your employers are already using.

Frequently asked questions

Is this course really free?

Yes, absolutely. AWS offers this course for free through their SkillBuilder platform. There's no hidden cost to access the material or complete the training.

How long will it take to complete?

Plan for about 15 hours total—roughly 2-3 hours per week if you're balancing it with work or other learning. You can move faster if you're already familiar with some topics or slower if you want to dive deeper into the hands-on labs.

Will I get a certificate?

This course doesn't include a certificate of completion. However, you can take the AWS Certified Machine Learning Engineer – Associate exam separately to earn a credential that carries weight with employers.