Intro to Machine Learning in AWS for Beginners

Build, Train, Test Your First ML Model in SageMaker. Learn AWS Marketplace, Canvas, GroundTruth, SageMaker Studio.
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Udemy
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Data Science
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Intro to Machine Learning in AWS for Beginners
8 331
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2 hours
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Apr 2024
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Why take this course?

🎓 Course Title: Intro to Machine Learning in AWS for Beginners 🚀

Course Headline: 🌟 Build, Train, Test Your First ML Model in SageMaker. Master AWS Marketplace, Canvas, GroundTruth, SageMaker Studio!


Why Take This Course?

Machine Learning is not just a buzzword; it's the cornerstone of the future, one of the top tech fields to be in right now! 🤖 It's poised to change our lives as dramatically as electricity did a century ago. ML and AI are already transforming Finance, banking, healthcare, transportation, and technology, and the field is rife with opportunities and career prospects. This introductory course is your gateway to this exciting world!

What You'll Learn:

As a complete beginner, you'll embark on a journey through the core concepts of AWS and Machine Learning, gaining hands-on experience along the way. Here's what you can expect to learn:

  • 📦 AWS Fundamentals: Understand the ecosystem with services like S3, EC2, IAM, and CloudWatch, and how they form the backbone of cloud computing.
  • 💰 AWS Free Tier Package: Discover the benefits and what's included in this package to get started with AWS without any financial commitment.
  • 💻 Setting Up AWS Account: Learn to navigate through AWS Management Console with ease and set up your own account from scratch.
  • 🧠 Machine Learning Basics: Differentiate between AI, ML, Data Science, and Deep Learning, and understand the foundational elements required for any ML model: data, model, and compute resources.
  • 🚀 Amazon SageMaker: Explore this powerful AWS service designed to build, train, and deploy machine learning models at scale.
  • 🛠️ SageMaker Components: Get hands-on with SageMaker's training options, including built-in algorithms, AWS Marketplace, and custom ML algorithms.
  • 🧪 AWS SageMaker Studio: Delve into the differences between SageMaker JumpStart, Autopilot, and Data Wrangler to streamline your ML workflow.
  • ☁️ Cloud Coding with Jupyter Notebooks: Write your first code in the cloud and understand how it works seamlessly with AWS services.
  • 📊 AWS Marketplace Object Detection Algorithms: Learn about state-of-the-art algorithms like Yolo V3 and how to apply them using AWS Marketplace.
  • 🧪 No-Code ML Model Training with SageMaker Canvas: Experience the power of automation by training your first machine learning model without writing any code, thanks to SageMaker Canvas!

Your Instructor:

Led by the expert guidance of Dr. Ryan Ahmed, Ph.D., MBA, you'll be in the best hands. Dr. Ahmed brings a wealth of knowledge and experience in both academia and industry, specializing in Machine Learning on AWS platforms. He will guide you through each concept with clarity and real-world examples to ensure you not only understand the theory but can also apply it effectively.


Enroll now to kickstart your journey into the world of Machine Learning on AWS! 🚀🧠💻

Course Gallery

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4666190
udemy ID
30/04/2022
course created date
01/06/2022
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