AWS SageMaker Skills you will learn

  • SageMaker Overview
  • Amazon SageMaker Components
  • Creating and configuring a notebook Instance

Who should learn this AWS SageMaker free course?

  • Machine Learning Engineer
  • Data Scientist
  • Data Engineer
  • Deep Learning Engineer
  • AIML Research Scientist

What you will learn in this free AWS SageMaker course?

  • Introduction to Amazon SageMaker

    • Introduction to Amazon SageMaker

      • Introduction to Amazon Sagemaker

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Why you should learn AWS SageMaker?

60% of corporate data

60% of all corporate data is in cloud storage.

$109K+ (USA) | INR 7.5 LPA

Average salary of an Cloud administrator annually.

Career Opportunities

About The Course

This AWS SageMaker course equips you to build, train, and deploy machine learning models on AWS end-to-end. We start by exploring SageMaker's capabilities and accelerators for the ML workflow. Next, you will learn best practices for preparing data, engineering features, and training algorithms efficiently and tuning models for optimal performance, leveraging automation techniques. You will understand hosting trained models on SageMaker endpoints with high scalability, monitoring model accuracy post-deployment, and enabling logs and tracking. Finally, we bring all the concepts together by

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  • Which roles is SageMaker designed for?

    Amazon SageMaker provides tools for data scientists, ML engineers, business analysts, and developers. The service caters to the unique needs of each role.

  • Is SageMaker Python?

    No, SageMaker supports multiple languages and frameworks, including Python, R, Java, PyTorch, TensorFlow, MATLAB, and more.

  • How long can I access the course?

    You get 90 days access to the AWS SageMaker course content, including video lectures, notebooks, quizzes, and supplementary resources.

  • What are the prerequisites to learn this Amazon SageMaker course?

    Basic programming knowledge of Python and machine learning concepts is required. Prior AWS and SageMaker experience is useful but not mandatory.

  • How difficult is the Amazon SageMaker course?

    The course begins with foundations and then moves on to advanced topics, making it possible for students with varied ability levels to benefit from the course. Concepts are much simpler to understand when they are explained in detail.

  • When can I expect to receive my certificate?

    Upon successful completion of the course, you will be awarded with the course completion certificate powered by AWS from SkillUp. This certificate will be delivered to you via email within 6 hours of course completion.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.