Deploy Machine Learning Model using Amazon SageMaker | How to Deploy ML Models on AWS | Edureka

🔥Edureka AWS Training: www.edureka.co/aws-certification-training
This Edureka video on "Deploy an ML Model using Amazon Sagemaker" discusses what is Amazon Sagemaker and how you can build, train and deploy your Machine Learning Models in Amazon Sagemaker. These are the topics covered in the AWS Machine Learning Tutorial video:
00:00:00 Introduction
00:01:14 What is Amazon Sagemaker?
00:04:21 Create your AWS Account
00:06:46 Create your First Notebook Instance
00:17:39 Train your Model on AWS
00:24:37 Deploy your Model on AWS
00:26:33 Evaluate your Model on AWS
00:29:03 AWS SageMaker Case Study: Grammarly
🔹Check Edureka's complete DevOps playlist here: goo.gl/O2vo13
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How it Works?
1. This is a 5 Week Instructor led Online Course.
2. Course consists of 30 hours of online classes, 30 hours of assignment, 20 hours of project
3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!
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About the Course
AWS Architect Certification Training from Edureka is designed to provide in depth knowledge about Amazon AWS architectural principles and its components. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS cloud infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Architect Certification - Associate Level exam conducted by Amazon Web Services.
During this AWS Architect Online training, you'll learn:
1. AWS Architecture and different models of Cloud Computing
2. Compute Services: Amazon EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk
3. Amazon Storage Services : EBS, S3 AWS, Glacier, CloudFront, Snowball, Storage Gateway
4. Database Services: RDS, DynamoDB, ElastiCache, RedShift
5. Security and Identity Services: IAM, KMS
6. Networking Services: Amazon VPC, Route 53, Direct Connect
7. Management Tools: CloudTrail, CloudWatch, CloudFormation, OpsWorks, Trusty Advisor
8. Application Services: SES, SNS, SQS
Course Objectives
On completion of the AWS Architect Certification training, learner will be able to:
1. Design and deploy scalable, highly available, and fault tolerant systems on AWS
2. Understand lift and shift of an existing on-premises application to AWS
3. Ingress and egress of data to and from AWS
4. Identifying appropriate use of AWS architectural best practices
5. Estimating AWS costs and identifying cost control mechanisms
Pre-requisites
There are no specific prerequisites for this course. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required.
If you are looking for live online training, write back to us at [e-mail] or call us at US: + 18338555775 (Toll-Free) or India: [phone] for more information.

[@edurekaIN]

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka's Cloud Engineer Course Curriculum, Visit our Website: bit.ly/2XGjTQg

[@Venkatesh-vm4ll]

can we deploy own model in aws sagemaker ,which is created in sklearn.

[@chethanpathfinder4116]

Hi, Nice content i have a question , how to deploy a custom build model in sagemaker .

[@venkatesh2788]

After deploying that model in aws can we connect that model to nodejs

[@chethan1914]

Hi ,how to create an endpoint for custom built model , thanks in advance.

[@rakeshbullet7363]

Awesome and simplified walkthrough of Sagemaker capabilities by one of the talented Edureka Team . Thank you for taking time out to create this learning tutorial .

[@edurekaIN]

You're welcome 😊 Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

[@robindong3802]

Another wonderful video by Edureka! this is a very helpful and practical tutorials.

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[@robindong3802]

@@edurekaIN Subscribed.

[@kylewattssurfing3266]

Veryyy Cool yeees...

[@kylewattssurfing3266]

Awesomeness Thxxxxx!!!

[@edurekaIN]

We are super happy that Edureka is helping you learn better. Your support means a lot to us and it motivated us to create even better learning content and courses experience for you . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

[@chrisogonas]

Superb!

[@Asoville18]

Thank you.

[@edurekaIN]

You're welcome!

[@sampathkumarbasa4774]

May I know what are the prerequisites to learn Aws sagemaker and work as an infrastructure engineer?

[@edurekaIN]

Thanks for showing interest in Edureka :) feel free to click on this link bit.ly/33gyWaF to get all the details on the course :) Do subscribe to our channel for more videos and updates

[@my_opiniondemocracy6584]

how can I acrss the code you have discussed?

[@edurekaIN]

Good to know our contents and videos are helping you learn better . We are glad to have you with us ! Please share your mail id to send the data sheets to help you learn better :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

[@shariqansari6363]

How can i access code?

[@edurekaIN]

Hi great to hear from you :) please share your mail id ! so that we can share the data sheet with you :)Do subscribe the channel for more updates : )