Intro to Machine Learning in AWS for Beginners
Build & train your first machine learning model with AWS SageMaker! Explore AWS Marketplace, Canvas, GroundTruth & SageMaker Studio. Get hands-on experience.
Course Content
Intro to Machine Learning in AWS for Beginners is a beginner-level Udemy course taught by Prof. Ryan Ahmed | 450K+ Students | Best-Selling Professor | 250K+ YouTube. It runs 1h 46m and is taught in English. Learners rate it 4.2 out of 5 from 438 reviews, with 8,571 students enrolled. It is free to enroll, last updated April 2024.
Unlock the Power of Machine Learning (ML) with AWS: A Beginner's Guide
Ready to dive into the future of technology? Machine Learning (ML) and Artificial Intelligence (AI) are revolutionizing industries, poised to reshape our world in profound ways, much like electricity did a century ago. This introductory course provides a solid foundation for anyone looking to enter this rapidly growing field. ML is being widely adopted across sectors like finance, banking, healthcare, transportation, and technology, creating a wealth of exciting career opportunities.
This course is designed for absolute beginners with no prior experience. You will gain hands-on skills and a comprehensive understanding of key concepts, including:
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- Explore essential AWS services, including Simple Storage Service (S3) for data storage, Elastic Compute Cloud (EC2) for computing power, Identity and Access Management (IAM) for security, and CloudWatch for monitoring.
- Discover the benefits of cloud computing and understand what's included in the valuable AWS Free Tier Package.
- Learn how to set up a new AWS account and effectively navigate the AWS Management Console.
Machine Learning Essentials:
- Demystify the core fundamentals of Machine Learning (ML).
- Understand the distinctions between Artificial Intelligence (AI), Machine Learning (ML), Data Science (DS), and Deep Learning (DL).
- Identify the key components for building machine learning models: data, model, and compute.
Amazon SageMaker Deep Dive:
- Master the fundamentals of Amazon SageMaker, a comprehensive ML platform.
- Explore SageMaker Components and various training options, including built-in algorithms, the AWS Marketplace, and the ability to use customized ML algorithms.
- Learn about AWS SageMaker Studio and differentiate between SageMaker JumpStart, SageMaker Autopilot, and SageMaker Data Wrangler.
Hands-on Cloud Coding:
- Write your first code in the cloud using Jupyter Notebooks.
- Tutorial: AWS Marketplace Object Detection – Learn to utilize pre-trained object detection algorithms from the AWS Marketplace, such as Yolo V3.
No-Code Machine Learning with SageMaker Canvas:
- Train your first machine learning model without writing any code using the innovative AWS SageMaker Canvas.
This course equips you with the knowledge and practical skills to embark on a successful journey in the exciting world of Machine Learning and Cloud Computing with AWS.
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