Get certified with AWS

GET CERTIFIED WITH AWS

By:Dheeraj and Harsh

Hello guys, if you want to learn Amazon Web Services, popularly known as AWS and looking for some awesome resources e.g. books, courses, and tutorials then you have come to the right place.

In this article, I am going to share some of the best Amazon Web Services or AWS courses which will help you to learn this revolutionary and valuable technology free of cost.

Unlike other free courses, these are genuine free AWS courses which are made free by their authors and instructors for the promotional and educational purpose.

You just need to enroll with them and then you can learn AWS at any time, at any place and on your own schedule.

ABOUT AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 165 fully featured services from data centers globally, including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security and enterprise applications.. Millions of customers – including the fastest-growing startups, largest enterprises, and leading government agencies –trust AWS to power their infrastructure, become more agile, and lower costs.

“Learning is not attained by chance, it must be sought for with ardor and attended to with diligence.” ―Abigail Adams.




Online courses have become immensely popular over the past decade. If you are searching for free online courses with certificates the DIGITAL DUO has arranged Free Online Courses with certificates in India 2020.Browse free online courses in a variety of subjects. Amazon Web Services courses found below can be audited free or students can choose to receive a verified certificate for a small fee. Select a course to learn more.

1. AWS Foundations: How Amazon SageMaker Can Help

Course Description

Learn how Amazon SageMaker mitigates the core challenges of implementing a machine learning pipeline. In this course, you learn how SageMaker notebooks and instances help power your machine learning workloads and review the key Amazon SageMaker features.

     • Course level: Fundamental
     • Delivery method: Digital training

     

Course objectives
In this course, you will learn to:

     • Describe where Amazon SageMaker fit into the machine learning pipeline
     • Describe Amazon SageMaker data formats
     • Use Amazon Sagemaker to train, evaluate, and automatically tune a model


 LINK:https://www.aws.training/Details/Video?id=49646

2. AWS Foundations: Machine Learning Basics

Course Description

What is machine learning? How can machine learning solve business problems? When is it appropriate to use a machine learning model? What are the phases of a machine learning pipeline? In this course, you get an overview of the concepts, terminology, and processes of the exciting field of machine learning!

     • Course level: Fundamental
     • Delivery method: Digital training
    
Course Objectives
In this course, you will learn to:
     • Explain machine learning
     • Describe the three categories of machine learning algorithms
     • Explain deep learning
     • Describe the machine learning pipeline phases 


LINK:https://www.aws.training/Details/Video?id=49644

3. Machine Learning in the Cloud with AWS Batch

Course Description

This course describes how to run and accelerate your machine learning applications in the cloud using AWS Batch. AWS Batch is a fully managed service that enables you to easily and efficiently run batch computing jobs on AWS. This course provides an introduction to AWS Batch, explains the main components of the service, and reviews a few examples of batch processing architectures.

Course Objectives
This course is designed to teach you how to:
     • Describe the main components of AWS Batch and how they function
     • Identify various batch processing dependency models
     • Describe the steps in a typical batch processing workflow 



LINK: https://www.aws.training/Details/Video?id=45348

4. Exam Readiness: AWS Certified Machine Learning - Specialty

Course Description

This course prepares you to take the AWS Certified Machine Learning – Specialty exam, which validates your ability to design, implement, deploy, and maintain machine learning (ML) solutions.

In this course, you’ll learn about the logistics of the exam and the mechanics of exam questions, and you’ll explore the exam’s technical domains. You’ll review core AWS services and key concepts for the exam domains:

1. Data Engineering
2. Exploratory Data Analysis
3. Modeling
4. Machine Learning Implementation and Operations

You’ll also learn key test-taking strategies and will put them into action, taking multiple study questions. Once you’ve honed your skills, you’ll have the chance to take a quiz that will help you assess your areas of strength and weakness, so that you’ll know what to emphasize in your pre-exam studies. 

Course Objectives

By the end of this course, you will be able to:

• Identify your strengths and weaknesses in each exam domain so that you know what to focus on when studying for the exam
• Describe the technical topics and concepts that make up each of the exam domains
• Summarize the logistics and mechanics of the exam and its questions
• Use effective strategies for studying and taking the exam

LINK: https://www.aws.training/Details/eLearning?id=42183

5. Practical Data Science with Amazon SageMaker

Course Description

In this course, learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the different stages of the typical data science process, from analyzing and visualizing a data set, to preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment.

 LINK:https://www.aws.training/SessionSearch?courseId=40748

6. Amazon SageMaker: Build an Object Detection Model Using Images Labeled with Ground Truth

Course Description
In this course we’ll join Dr. Denis Batalov, worldwide AI/ML Tech Leader, as he shows you how to implement a machine learning pipeline using Amazon SageMaker and Amazon SageMaker Ground Truth. First you will create a labeled dataset, then you’ll create a training job to train your object detection model, and finally you will use Amazon SageMaker to create and update your model. 

Course Objectives

In this course, you will learn how to:

• Train a machine learning model using images labeled by Amazon SageMaker Ground Truth
• Use Amazon SageMaker Ground Truth to identify the exact location of bees on individual images in a dataset
• Train the object detection model using Amazon SageMaker in-built algorithms
• Use an automated hyperparameter tuning job to find an optimal set of hyperparameters

LINK: https://www.aws.training/Details/Video?id=37702

7. CQ: The AWS Certification Quiz Show | Sydney Summit E06

Course Description

CQ - The interactive quiz show to help you prepare for your upcoming AWS Certification Exam. In this special episode, we take a brief look at the AWS Certified Machine Learning - Specialty exam with AWS Solutions Architect Aashmeet Kalra.


LINK:  https://www.aws.training/Details/Video?id=37285

8. CQ: The AWS Certification Quiz Show | Sydney Summit E02

Course Description    

CQ - The interactive quiz show to help you prepare for your upcoming AWS Certification Exam. In this special episode, we take a brief look at the AWS Certified Machine Learning - Specialty exam with AWS Solutions Architect Aashmeet Kalra. 

LINK:   https://www.aws.training/Details/Video?id=37281

9. Worker Safety Project with AWS DeepLens

Course Description

This intermediate-level course is designed to help you dust off your AWS DeepLens device and move from AWS DeepLens inquirer to practitioner. The course will help you get there by walking you through an object detection project that in the end will be able to identify individuals on a construction site who aren’t wearing hard hats. 

Course Objectives
In this course, you will learn how to:

• Set up the appropriate IAM roles and create an Amazon S3 bucket needed for this particular AWS DeepLens project
• Create a Recognize Object Lambda function and an AWS DeepLens inference Lambda function
• Create and deploy an AW DeepLens project, and
• View and analyze the project results using AWS IoT and Amazon CloudWatch.

LINK: https://www.aws.training/Details/eLearning?id=32077

10. Exam Readiness: AWS Certified Machine Learning - Specialty

Course Description

This course prepares you to take the AWS Certified Machine Learning – Specialty exam, which validates your ability to design, implement, deploy, and maintain machine learning (ML) solutions.

In this course, you’ll learn about the logistics of the exam and the mechanics of exam questions, and you’ll explore the exam’s technical domains. You’ll review core AWS services and key concepts for the exam domains:

1. Data Engineering
2. Exploratory Data Analysis
3. Modeling
4. Machine Learning Implementation and Operations

You’ll also learn key test-taking strategies and will put them into action, taking multiple study questions. Once you’ve honed your skills, you’ll have the chance to take a quiz that will help you assess your areas of strength and weakness, so that you’ll know what to emphasize in your pre-exam studies.

Course Objectives
By the end of this course, you will be able to:

• Identify your strengths and weaknesses in each exam domain so that you know what to focus on when studying for the exam
• Describe the technical topics and concepts that make up each of the exam domains.
• Summarize the logistics and mechanics of the exam and its questions.
• Use effective strategies for studying and taking the exam.

LINK:  https://www.aws.training/Details/eLearning?id=42183

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