
Sign up for AWS and learn about the free tier categories—12-month, always free, and short-term trials—and the limits for services like S3, Lambda, and SageMaker.
Create and monitor an AWS budget to control cloud costs, using cost explorer, detailed reports, and alerts to forecast usage, track free tier limits, and prevent heavy bills.
Explore Amazon Polly, a cloud machine-learning service that converts text to human-like speech with standard and neural voices, and review its pricing, use cases, and Raspberry Pi 4 demonstrations.
Explore Amazon Rekognition’s deep learning image and video analysis, identifying objects, text, people, activities, scenes, and inappropriate content, with face detection, facial analysis, and face comparison.
Explore how Amazon Rekognition processes images and videos through image and video APIs, covering labels, faces, text detection, and storage vs non-storage operations in S3 and collections.
Get started with Amazon Rekognition using AWS CLI, AWS SDK, or the Management Console to perform image and video analysis, including label detection, face analysis, and face comparisons.
Explore Amazon SageMaker as a fully managed machine learning service that unifies data labeling, model building, training, deployment, and monitoring on AWS, with an architecture view and workflow.
Hello learners!
Welcome to MAKERDEMY's “Introduction to AWS Machine Learning for IoT” course.
This is a beginner level course that will teach you about Amazon Machine Learning Services. This course will help you learn the basic concepts of Amazon Machine Learning and give you hands-on experience in implementing IoT projects using Amazon Machine Learning Services. This course will teach you to integrate Amazon Machine Learning Services with IoT. Do you wish to explore the world of Amazon Machine learning with IoT? Want to learn how to work with Amazon Machine learning services and implement end-to-end IoT projects using Raspberry Pi 4?
This course is a one stop destination for getting started with Amazon Machine Learning. By the end of the course, you will become very confident with using Amazon Machine Learning services and integrate them with IoT devices to develop an end-to-end IoT solution. You will learn through demonstrations on getting started with Amazon Machine Learning and develop a complete IoT Project with real-time application. If you complete all sections in the course and the course assignments, you are sure to gain in-depth knowledge related to Amazon Machine Learning.
Throughout the course, we have provided a curated collection of original resources. These resources include links to documents for in-depth learning, links, videos, and more. At MAKERDEMY, we have a dedicated instructor team who will promptly answer any of your course-related queries.
So, what are you waiting for?! Come, join me in this course. I look forward to being your instructor for this course and introduce you to the world of AWS Machine Learning for IoT!