Become AWS SageMaker ML Engineer in 30 Days + ChatGPT 2024

Udemy
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Become AWS SageMaker ML Engineer in 30 Days + ChatGPT 2024 Udemy Coupon

Become AWS SageMaker ML Engineer in 30 Days + ChatGPT 2024

Build 30+ ML Projects in 30 Days in AWS, Master SageMaker JumpStart, Canvas, AutoPilot, DataWrangler, Lambda & S3

Created by Dr. Ryan Ahmed, Ph.D.,MBA | 43 hours on-demand video course

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.

AWS 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 Become AWS SageMaker ML Engineer in 30 Days + ChatGPT 2024 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.

AWS SageMaker + ChatGPT 2024 Course

What you’ll learn

  • Build, Train, Test and Deploy Machine Learning Models in AWS
  • Learn SageMaker Built-in Algorithms such as Linear Learner, XG-Boost, Principal Component Analysis (PCA), and K-Nearest Neighbors
  • Define and Perform Image and Text Labeling Jobs Using AWS SageMaker GroundTruth
  • Prepare, Clean and Visualize data Using AWS SageMaker Data Wrangler without Writing any Code
  • Optimize ML model hyperparameters using GridSearch, Bayesian & Random Search Optimization Techniques
  • Master Key AWS services such as Simple Storage Service (S3), Elastic Compute Cloud (EC2), Identity and Access Management (IAM) and CloudWatch
  • Understand Machine Learning workflow automation using AWS Lambda, Step functions and SageMaker Pipelines.
  • Learn how to define a lambda function in AWS management console, understand the anatomy of Lambda functions, and how to configure a test event in Lambda
  • Train a Machine Learning Regression and Classifier Models Using No-code AWS Canvas
  • Learn how to leverage Amazon SageMaker Autopilot and SageMaker Canvas to train multiple models without writing any code.

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Who this course is for:

  • Beginner developers who want to break into machine learning in AWS
  • Beginners Data Scientists wanting to advance their careers and build their portfolio
  • Seasoned consultants wanting to transform businesses by leveraging AI/ML using AWS
  • Tech enthusiasts who are passionate and new to Data science & AI and want to gain practical experience using AWS
Josh Smith
Josh Smith

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