Become an AWS SageMaker Machine Learning Engineer in 30 Days

About this course

Do you want to become an AWS Machine Learning Engineer Using SageMaker in 30 days?

Do you want to build super-powerful production-level Machine Learning (ML) applications in AWS but don’t know where to start?

Are you an absolute beginner and want to break into AI, ML, and Cloud Computing and looking for a course that includes everything you need?

Are you an aspiring entrepreneur who wants to maximize business revenues and reduce costs with ML but don’t know how to get there quickly and efficiently?

Do you want to leverage ChatGPT as a programmer to automate your coding tasks?

If the answer is yes to any of these questions, then this course is for you!

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 prospectsAWS is the one of the most widely used cloud computing platforms in the world and several companies depend on AWS for their cloud computing purposes. AWS SageMaker is a fully managed service offered by AWS that allows data scientist and AI practitioners to train, test, and deploy AI/ML models quickly and efficiently.

This course is unique and exceptional in many ways, it includes several practice opportunities, quizzes, and final capstone projects. In this course, students will learn how to create production-level ML models using AWS. The course is divided into 8 main sections as follows:

Section 1 (Days 1 – 3): we will learn the following: (1) Start with an AWS and Machine Learning essentials “starter pack” that includes key AWS services such as Simple Storage Service (S3), Elastic Compute Cloud (EC2), Identity and Access Management (IAM) an

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