AWS SageMaker MasterClass

Learn Machine Learning on cloud with AWS SageMaker and No CODE Machine Learning with AWS SageMaker Canvas.
4.19 (160 reviews)
Udemy
platform
English
language
Data Science
category
instructor
AWS SageMaker MasterClass
31 206
students
2.5 hours
content
Dec 2022
last update
$19.99
regular price

Why take this course?

🌟 Course Title: AWS SageMaker MasterClass: Unleash the Power of Cloud-Based Machine Learning!


🚀 Course Headline:

Dive into the World of AI with AWS SageMaker & Canvas: No CODE, Peak Performance!


Welcome to the Future of Machine Learning! AWS SageMaker MasterClass is your gateway to harnessing the capabilities of cloud-based machine learning and unlocking the full potential of AWS SageMaker and Canvas. 🧠🚀


Why Machine Learning? Why Now? Machine Learning is not just a buzzword; it's a transformative force in today's tech landscape. From Finance to Healthcare, ML is revolutionizing industries, offering a plethora of opportunities and career paths for those with the right skills. As we stand on the brink of an AI revolution, learning Machine Learning has never been more crucial or exciting!


Cloud Computing & AWS: The Dynamic Duo AWS (Amazon Web Services) is a colossus in cloud computing, providing the backbone for numerous businesses worldwide. With its robust services, AWS empowers companies to scale and innovate efficiently and securely. Among these services, AWS SageMaker stands out as a game-changer in the realm of AI and ML.


What You Will Learn:

  • Fundamental Concepts: Get a solid grasp of Data Science and Machine Learning principles.

  • Sklearn & Model Evaluation: Build Machine Learning models using Sklearn and understand critical evaluation metrics like accuracy, precision, and MAE.

  • HyperParameter Optimization: Learn techniques to fine-tune your ML models for optimal performance.

  • Cloud Computing Basics: Understand the essence of Cloud Computing and its advantages over traditional IT infrastructure.

  • AWS Essentials: Discover what AWS is and why it's the backbone of modern cloud services.

  • AWS Services: Navigate through the diverse AWS offerings, understanding how they integrate to form a comprehensive cloud platform.

  • AWS SageMaker Deep Dive: Explore this powerful service for building, training, and deploying ML models at scale.

  • No CODE Machine Learning: Utilize AWS SageMaker Canvas to build ML projects without writing code.

  • AWS SageMaker Marketplace: Access state-of-the-art pre-trained ML models ready for deployment.

  • Real-World Application: Deploy your ML projects on the cloud, leveraging AWS's scalable infrastructure to bring your models to life.

  • Built-in Algorithms & No CODE Solutions: Benefit from AWS SageMaker's extensive library of Machine Learning algorithms and its user-friendly Canvas interface.


By the end of this course, you will be equipped with a comprehensive understanding of how to apply machine learning in real-world scenarios using AWS SageMaker and Canvas. You'll learn to build, train, deploy, and monitor your ML projects without the need for extensive coding knowledge. This MasterClass is designed to empower you to step into the realm of AI with confidence and a skill set that's highly sought after in today's digital transformation era.


Join us on this transformative journey! Enroll in the AWS SageMaker MasterClass now and start your path to becoming a Machine Learning expert on the cloud. 🌈✨


Instructor: Raj Chhabra, an experienced Data Scientist and AI practitioner with a passion for making complex ML concepts accessible and understandable to all. Raj has a track record of successful projects leveraging AWS SageMaker and is eager to share his expertise with you. 👩‍💻✨

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udemy ID
24/12/2022
course created date
18/01/2023
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