Intro to Machine Learning in AWS for Beginners
Requirements
- Basic knowledge in AWS
- Basic knowledge in machine learning
Description
Machine Learning is the future one of the top tech fields to be in right now!
ML and AI will change our lives in the same way electricity did 100 years ago. ML is widely adopted in Finance, banking, healthcare, transportation, and technology.
The field is exploding with opportunities and career prospects.
This introductory course is for absolute beginners, students will learn:
Key AWS services such as Simple Storage Service (S3), Elastic Compute Cloud (EC2), Identity and Access Management (IAM) and CloudWatch,
The benefits of cloud computing and what’s included in the AWS Free Tier Package
How to setup a brand-new account in AWS and navigate through the AWS Management Console
The fundamentals of Machine Learning and understand the difference between Artificial Intelligence (AI), Machine Learning (ML), Data Science (DS) and Deep Learning (DL)
List the key components to build any machine learning models including data, model, and compute
Learn the fundamentals of Amazon SageMaker, SageMaker Components, training options offered by SageMaker including built-in algorithms, AWS Marketplace, and customized ML algorithms
Cover AWS SageMaker Studio and learn the difference between AWS SageMaker JumpStart, SageMaker Autopilot and SageMaker Data Wrangler
Learn how to write our first code in the cloud using Jupyter Notebooks.
We will then have a tutorial covering AWS Marketplace object detection algorithms such as Yolo V3
Learn how to train our first machine learning model using the brand-new AWS SageMaker Canvas without writing any code!
Who this course is for:
- Absolute Beginners who want to break into machine learning in AWS
- Beginners Data Scientists wanting to advance their careers by Learning AWS and Machine Learning
- Tech enthusiasts who are passionate and new to Machine Learning and want to gain basic knowledge in AWS & Machine Learning
Instructor
- 4.6 Instructor Rating
- 56,882 Reviews
- 447,953 Students
- 50 Courses
Hello and welcome everyone!
I’m Dr. Ryan Ahmed. I’m a professor, educator, and founder of Stemplicity School, where we make AI and data science simple, practical, and accessible for everyone. I’m passionate about creating learning experiences that are engaging, hands-on, and designed to help people thrive in a fast-changing world.
If you're just starting out in tech or aiming to sharpen your skills in AI, data science, or cloud computing, my goal is to make those complex topics feel approachable, relevant, and easy to apply. Over the past ten years, I’ve taught more than 400,000 learners across 160 countries and built a global community of over 250,000 subscribers on my YouTube channel, Prof. Ryan Ahmed, where I share tutorials and tools to help people grow their careers.
I’ve also led corporate training sessions on AI to companies like HSBC, RBC, Discover, and Barclays in US, Canada, and the UK. Earlier in my career, I held leadership roles at GM, Samsung, and Stellantis, working on electric and autonomous vehicle technologies.
I hold a MASc, PhD, and MBA from McMaster University. I’m also a licensed Professional Engineer and a Stanford-certified program manager with over 50 published research papers in AI and battery systems. But titles aside, what matters most to me is seeing others succeed.
If you're curious, motivated, and ready to learn, I’m here to help you take that next step.