<ol>
	<li>
	This lab walks you through the steps to perform ETL operation in AWS Glue with Amazon S3 as a data source.
	</li>
	<li>
	You will practice using AWS Glue crawler to create a reference table in the Glue Data catalog&#39;s Databases and ETL Jobs to perform aggregation on top of tables present in the Glue Data catalog.
	</li>
	<li>
	Duration:&nbsp;60&nbsp;minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ol>
	<li>
	This lab walks you through creating a real time data streaming system using Amazon Kinesis Data Streams (KDS).
	</li>
	<li>
	You will practice this lab using the services Amazon Kinesis, AWS Lambda, Amazon S3 and IAM.
	</li>
</ol>

<ol>
	<li>
	This lab walks you through hosting a sample website using the apache web server on the EC2 Linux instance and collecting the real-time logs of the website to AWS S3.
	</li>
	<li>
	You will practice this lab using Kinesis Data Streams, Kinesis Agent, EC2, Kinesis Firehose, S3.
	</li>
</ol>

This Lab walks you through&nbsp; the steps on how to export the DynamoDB table items to a S3 Bucket in csv format

This Lab walks you through&nbsp; the steps on how to export the DynamoDB table items to a S3 Bucket&nbsp;&nbsp;as JSON file

<ol>
	<li>
	This lab walks you through the steps to create Amazon&nbsp;Kinesis Data Firehose delivery streams.
	</li>
	<li>
	You will practice using sample data present in the firehose, by sending them to Amazon S3 Bucket through &nbsp;Amazon&nbsp;Kinesis Data Firehose delivery stream.
	</li>
	<li>
	Duration:&nbsp;45&nbsp;minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<h1>Lab Details</h1>

<ol>
	<li>
	This lab walks you through the steps to create a serverless architecture by implementing Amazon Rekognition integrated with Amazon S3 and Amazon DynamoDB.
	</li>
	<li>
	You will practice using the Amazon Rekognition, Amazon S3 and Amazon DynamoDB services.
	</li>
	<li>
	Duration:&nbsp;30 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1&nbsp;
	</li>
</ol>

<h1>Introduction</h1>

<h2>Amazon Rekognition</h2>

<ol>
	<li>
	Amazon Rekognition is a cloud-based Software as a service computer vision platform.
	</li>
	<li>
	Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use.
	</li>
	<li>
	It provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
	</li>
	<li>
	Service features&nbsp;:&nbsp;

	<ul>
		<li>
		Labels
		</li>
		<li>
		Custom labels
		</li>
		<li>
		Content moderation
		</li>
		<li>
		Text detection
		</li>
		<li>
		Face detection and analysis
		</li>
		<li>
		Face search and verification
		</li>
		<li>
		Celebrity recognition
		</li>
		<li>
		Personal Protective Equipment (PPE) detection
		</li>
	</ul>
	</li>
</ol>

<h2>Amazon Lambda</h2>

<ol>
	<li>
	AWS Lambda is a Serverless Compute service.
	</li>
	<li>
	It works without any servers and allows us to execute code for any type of application.
	</li>
	<li>
	The developer doesn&#39;t have to worry about the AWS resources to launch or the steps needed to manage the resources.
	</li>
	<li>
	Provisioning and Managing are both taken care of by the Lambda function.
	</li>
	<li>
	The languages AWS Lambda supports are Node.js, Python, C#, Java and Go.
	</li>
	<li>
	It allows us to run code in response to events from other AWS services.
	</li>
	<li>
	Automatic Scaling is done based on the size of the workload.
	</li>
	<li>
	The Lambda code is executed from Triggers that are received from AWS resources.
	</li>
	<li>
	The cost of AWS Lambda is very low and depends on multiple factors. It will charge for every 100ms of runtime also for the number of times the code is executed.
	</li>
	<li>
	The allowable runtimes of a Lambda function execution is between 100ms to 15 Mins.
	</li>
	<li>
	It offers resources varying from 128MB of memory to 10GB of memory.
	</li>
</ol>

<h2>Simple storage service(S3)</h2>

<ol>
	<li>
	Amazon S3 is a simple storage service that we can use to store and retrieve any amount of data, at any time, from anywhere on the web.&nbsp;
	</li>
	<li>
	It gives developers and users access to highly scalable, reliable, fast, inexpensive data storage infrastructure.
	</li>
	<li>
	S3 guarantees 99.9% availability at any point in time.
	</li>
	<li>
	S3 has been designed to store up to 5 TB of data.
	</li>
	<li>
	S3 is global, meaning you can create a bucket in any region and access it from anywhere. Due to this, the name of the bucket should be a unique one.
	</li>
	<li>
	The S3 bucket objects, as well as the bucket, can be deleted at any time by the user.
	</li>
	<li>
	We can limit access to our bucket by granting different permissions for different users.
	</li>
	<li>
	S3 also comes with additional features such as versioning, static website hosting, server access logging and life cycle policy for storing objects, and many others.
	</li>
</ol>

<h1>Architecture Diagram</h1>

<img alt="" src="https://play.whizlabs.com/frontend/web/media/2021/12/02/ad.png" />

<h1>Task Details</h1>

<ol>
	<li>
	Sign in to AWS Management Console
	</li>
	<li>
	Create an S3 Bucket.
	</li>
	<li>
	Create a DynamoDB table.
	</li>
	<li>
	Create a Lambda function.
	</li>
	<li>
	Add trigger from S3
	</li>
	<li>
	Test the Serverless Architecture.
	</li>
	<li>
	Clean up AWS Resources.
	</li>
</ol>

<h1>Launching Lab Environment</h1>

<ol>
	<li>
	To launch the lab environment, Click on the&nbsp;<img alt="" src="https://play.whizlabs.com/frontend/web/media/task_id_10034/image19.png" />&nbsp;button.
	</li>
	<li>
	Please wait until the cloud environment is provisioned. It will take less than a minute to provision.
	</li>
	<li>
	Once the Lab is started, you will be provided with&nbsp;IAM user name,&nbsp;Password,&nbsp;Access&nbsp;Key, and&nbsp;Secret&nbsp;Access&nbsp;Key.
	</li>
</ol>

<table>
	<tbody>
		<tr>
			<td>
			Note&nbsp;: You can only start one lab at any given time
			</td>
		</tr>
	</tbody>
</table>

<ol>
	<li>
	This lab walks you through the steps to create a Lambda function which will take an image stored in a S3 bucket and return the matching labels.
	</li>
	<li>
	You will practice using Amazon Rekognition service.
	</li>
</ol>

This lab walks you through creating a sample chatbot using Amazon Lex and testing it in the AWS management console

This lab walks you through creating a sample chatbot using Amazon Lex and the response to the user is stored in DynamoDB which is passed to the chatbot using AWS Lambda function and testing it in the AWS management console.

This lab walks you through creating a sample chatbot using Amazon Lex and&nbsp; using a 3rd party API that will return Country details like capital, currency etc and uses it to respond back to the user by using AWS Lambda function and testing it in the AWS management console

<ol>
	<li>
	This lab walks you through creating a serverless web application hosted in S3 bucket which will take a text input from the user and convert it to an audio file using Amazon Polly and store it in S3 bucket. The user can list the audio file in the web page and play the file. You can also select a language to which the text needs to be converted.
	</li>
	<li>
	You will practice the lab using Amazon Polly, IAM, Lambda, SNS, API Gateway, DynamoDB, S3.
	</li>
	<li>
	Duration: 120 minutes
	</li>
</ol>

<h1>&nbsp;Lab Details</h1>

<ol>
	<li>
	This lab walks you through creating and testing a sample chatbot using Amazon Lex v2 console.
	</li>
	<li>
	Duration:&nbsp;&nbsp;45 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<h1>Introduction</h1>

<h2>Amazon Lex</h2>

<ul>
	<li>
	Amazon Lex is an AWS service for building conversational interfaces for applications using voice and text.&nbsp;
	</li>
	<li>
	An Amazon Lex bot consists of many different parts

	<ul>
		<li>
		Intents: represents an action that users want to perform.
		</li>
		<li>
		Utterance:&nbsp;User input that triggers an intent
		</li>
		<li>
		Prompt:&nbsp;Bot message designed to get data needed to complete the requested action
		</li>
		<li>
		Slot types: list of values that Amazon Lex uses to train the machine learning model to recognize values for a slot
		</li>
		<li>
		Slot: elements within your utterances that may change based on the user wanting different variations to their actions
		</li>
		<li>
		Fulfillment:&nbsp;Completed action based on the user request
		</li>
	</ul>
	</li>
</ul>

<h1>Architecture Diagram</h1>

<h1>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;<img src="https://play.whizlabs.com/frontend/web/media/task_id_10079/ebs_raid__-_page_1.png" /></h1>

<h1>Task Details</h1>

<ol>
	<li>
	Sign in to AWS Management Console.
	</li>
	<li>
	Create a Lex Bot
	</li>
	<li>
	Create Intents
	</li>
	<li>
	Create Slot Types
	</li>
	<li>
	Add Bot slots
	</li>
	<li>
	Build and Test the Bot type
	</li>
</ol>

<h1>Launching Lab Environment</h1>

<ol>
	<li>
	To launch the lab environment, Click on the&nbsp;<img src="https://play.whizlabs.com/frontend/web/media/task_id_10079/start_lab.png" />&nbsp;button.
	</li>
	<li>
	Please wait until the cloud environment is provisioned. It will take less than a minute to provision.
	</li>
	<li>
	Once the Lab is started, you will be provided with&nbsp;IAM user name,&nbsp;Password,&nbsp;Access&nbsp;Key, and&nbsp;Secret&nbsp;Access&nbsp;Key.
	</li>
</ol>

<table>
	<tbody>
		<tr>
			<td>
			Note&nbsp;: You can only start one lab at any given time&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;
			</td>
		</tr>
	</tbody>
</table>

<ol>
	<li>
	This lab walks you through the steps to create a Sagemaker&nbsp;notebook instance. You will use JupyterLab for running the training job and find the difference.
	</li>
	<li>
	Duration:&nbsp;90 minutes
	</li>
	<li>
	AWS Region:&nbsp;US East (N. Virginia) us-east-1
	</li>
</ol>

<ul>
<li>This AWS Machine Learning Specialty certification course will help you learn how to build, train, tune, and deploy Machine Learning models on the AWS platform.</li>
<li>Our Certified AWS Machine Learning Specialty practice tests have over 200 unique questions. These questions help you prepare for the real AWS Machine Learning exam.</li>
<li>By the end of the course, you will be familiar with the certification exam questions and syllabus and will have gained practical skills.&nbsp;</li>
</ul>

<ol>
<li>
This lab walks you through the steps to create Amazon&nbsp;Kinesis Data Firehose delivery streams.
</li>
<li>
You will practice using sample data present in the firehose, by sending them to Amazon S3 Bucket through &nbsp;Amazon&nbsp;Kinesis Data Firehose delivery stream.
</li>
<li>
Duration:&nbsp;45&nbsp;minutes
</li>
<li>
AWS Region:&nbsp;US East (N. Virginia) us-east-1
</li>
</ol>

AWS Certified Machine Learning Specialty

A cloud sandbox is a virtual environment that simulates environment for testing, development, and experimentation purposes. The AWS Cloud Sandbox can be used to test new applications, try out different configurations, or practice cloud skills.
Access the benefits of Cloud Sandbox along with the Video Course of AWS Certified Machine Learning Specialty course and explore real-time.

AWS Certified Machine Learning Specialty Practice tests are designed by experts to simulate the real exam scenario. The questions are based on the exam syllabus outlined by official documentation. These practice tests are provided to the candidates to gain more confidence in exam preparation and self-evaluate them against the exam content.

Practice Tests

Millions of aspirants have become certified with our practice tests. Give your preparation a new edge with Whizlabs AWS Certified Machine Learning - Specialty Practice Tests.

AWS Certified Machine Learning - Specialty Practice Tests - Whizlabs

Take this AWS Certified Machine Learning Specialty online course today and get your hands on the best learning with updated course content and in depth course videos

Online Course

Millions of aspirants have become certified with our training courses. Give your preparation a new edge with Whizlabs AWS Certified Machine Learning Specialty Online Course.

AWS Certified Machine Learning Specialty Online Course  - Whizlabs

Free Test

Preparing for AWS Certified Machine Learning - Specialty certification exam? Check your current preparation level with AWS Certified Machine Learning - Specialty Free Test. Try now!

AWS Certified Machine Learning - Specialty Free Test - Whizlabs

AWS Certified Machine Learning - Specialty (MLS-C01)

Pass the AWS Certified Machine Learning - Specialty (MLS-C01) Certification exam on your first try. Join 3M+ learners. Start your free trial now!

AWS Certified Machine Learning Specialty 

<ul>
<li>In this AWS Machine Learning certification course, you will learn and master how to build, train, tune, and deploy Machine Learning (ML) models on the AWS platform.</li>
<li>Our Certified AWS Machine Learning Specialty practice tests offer you a total of 200+ unique questions to get a complete idea about the real AWS Machine Learning exam.</li>
<li>Also, you get access to hands-on labs in this course. There are about 10 lab sessions that are designed to take your practical skills on AWS Machine Learning to the next level.</li>
</ul>

Practice Exams, Video Lectures, Hands-on Labs and Cloud Sandboxes

3 Full-length Mock Exams with 195 unique AWS Certified Machine Learning - Specialty certification exam practice questions

Over 10 hours of training videos cover all the certification exam topics.

5-section quiz covering the most important topics for the exam

Our support team consists of AWS experts, ready to clarify all your queries.

This course equips you with real-world experience through Hands-On labs and a sandbox.

Our course is updated frequently to match the industry standards.

AWS Certification Training Courses

AWS Cloud Practitioner certification demonstrates and validates your knowledge on the overall understanding of AWS Cloud Platfoliyo

Google Cloud Certifications

DevOps Certifications

Dear User,
Greetings from Whizlabs!
Thank you for sharing your feedback with us. We greatly value your input as it helps us improve our platform and services.
If you need any assistance, please don't hesitate to reach out.
We're here to support you in your learning journey.
Regards,
Jai Shree

Sambuddha Dasgupta

Overall a very good course and was very helpful

I liked the coverage

Surinder kumar 

I have been learning AWS Solution architect and AWS Machine learning with Whiz lab. This is good experience with this platform. I did labs and practice exam. Video courses are awesome. Simple and easy to understand. Labs expert help is available to fix problems.

Awesome

Daniel Anghel

This course is a great pick if you want hands-on ML training, especially with AWS tools like SageMaker and Lambda. It’s well-structured and great for certification prep!

Great Online Trainer

Dear User,
Greetings from Whizlabs!
Thank you for sharing your feedback with us. We greatly value your input as it helps us improve our platform and services.
If you need any assistance, please don't hesitate to reach out. We're here to support you in your learning journey.
Regards,
Anusapriya Shanmugam

jaggi2386 Ram

I took the AWS Machine Learning Specialty course, and it was incredibly useful in helping me pass the exam. The content was well-structured, covering key concepts in depth. The practice sets were up-to-date and closely aligned with the actual exam questions, making my preparation much more effective. Highly recommend this course to anyone preparing for the certification!

Awesome Course

Juan Esteban Gomez

There are different kind of questions, very well structured. Thank you for this material

Good experience

Dear Aigle,
Greetings from Whizlabs!
Thank you for sharing your feedback with us. We greatly value your input as it helps us improve our platform and services.
If you need any assistance, please don't hesitate to reach out. We're here to support you in your learning journey.
Thanks again for your valuable feedback!
Thanks &amp; Regards,
Aswinkumar T R

Joseph bidias

Best approach of learning specially through labs and tests. It really apply to the current state of art when it comes to tech certification

Very ressourceful

Dear User,
Greetings from Whizlabs!
Thank you for sharing your feedback with us. We greatly value your input as it helps us improve our platform and services.
Thanks &amp; Regards,
Jai Shree

Oscar Rangel Martinez

great product

Dear User,
Greetings from Whizlabs! Hope you are doing well.
Thank you for sharing your valuable feedback! Happy Learning!
Regards,
Jai Shree

I RITESH

One of the best courses I have ever found. Especially the cloud labs helps in completing all the courses with 100% confidence.

Excellent Course

Dear User,
Greetings from Whizlabs! Hope you are doing well.
Thank you for sharing your valuable feedback! Happy Learning!
Regards, Jai Shree

Ion Bucurescu

Great product

Dear User,
Greetings from Whizlabs! Hope you are doing well.
Thank you for sharing your valuable feedback!
Regards,
Jai Shree

Selvakumar .

Great Article and Questions from AWS documents . Reference links helped much to read further topics