AI ML PROJECT FOR BEGINNERS: AWS SageMaker Tutorial : AI Machine Learning FULL COURSE PART-3

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🚀AI ML PROJECT FOR BEGINNERS: Amazon SageMaker Tutorial:Learn to Create Amazon SageMaker Notebook Instances with JupyterLab | Step-by-Step Tutorial 🚀

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👉 In this comprehensive tutorial, we’ll guide you through the process of setting up Amazon SageMaker Notebook Instances with JupyterLab, unlocking the full potential of machine learning on AWS.

🔍 What You’ll Discover:
– ✔️ Introduction to Amazon SageMaker and its benefits
– ✔️ Step-by-step guide on creating SageMaker Notebook Instances
– ✔️ Exploring JupyterLab features for seamless development
– ✔️ Best practices and tips for efficient machine learning workflows

🛠️ Tools Used:
– Amazon SageMaker
– JupyterLab

📋 Timestamps:
0:00 – Introduction
1:15 – Overview of Amazon SageMaker

🔗 Helpful Resources:

– CODE USED IN THIS VIDEO:- https://kaustubhsharma.com/blog/ai/aws/how-to-split-dataset-into-train-validation-and-test-dataset
– AI FULL COURSE: https://youtu.be/rIkdyO3gI5c
– AWS FREE TIER PAGE: https://aws.amazon.com/free/?all-free-tier.sort-by=item.additionalFields.SortRank&all-free-tier.sort-order=asc&awsf.Free%20Tier%20Types=*all&awsf.Free%20Tier%20Categories=categories%23ai-ml
– WHAT IS CLOUD? – https://youtu.be/hrRwEdtRIXA

– AWS CONSOLE HOME: https://ap-south-1.console.aws.amazon.com/console/home?region=ap-south-1

– CREATE AWS FREE TIER ACCOUNT SECURLY: https://youtu.be/mV46-Rc3Ffs

– CREATE IAM USER: https://youtu.be/5iicMyYcepI

– WHAT IS EC2 INSTANCE WITH DEMO – https://youtu.be/loOmSKZl0oc

– SAGEMAKER PRICING AND INSTANCE TYPE COMPARISON: https://aws.amazon.com/sagemaker/pricing/

– SAGEMAKER Supported Regions and Quotas: https://docs.aws.amazon.com/sagemaker/latest/dg/regions-quotas.html

– IMDS v1 vs v2: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/configuring-instance-metadata-service.html

– GET FREE AWS VOUCHERS: https://youtu.be/XwDE2IXXfvEHOW
– TOP AI/ML CERTIFICATIONS [UPDATED]: https://youtu.be/gPW8Amnvllw
– LATEST AWS SERVICE – AMAZON Q: https://youtu.be/oYEBj1dk_YE

🚨 **Important Notes:**
– Make sure you have an AWS account set up.
– Some features may vary based on AWS region.

👍 **Don’t forget to Like, Share, and Subscribe for more AWS tutorials and machine learning content!**

📌 **Keywords:**
#AmazonSageMaker #JupyterLab #MachineLearningAWS #AWSTutorial #SageMakerNotebook #MLDevelopment #AWSBeginner #TechTutorial

📖 **Description:**
Unlock the power of Amazon SageMaker for your machine learning projects! In this step-by-step tutorial, we guide you through the process of creating SageMaker Notebook Instances and utilizing the feature-rich JupyterLab interface. Whether you’re a beginner or an experienced developer, this tutorial covers everything from setup to advanced configurations, ensuring you’re equipped for efficient machine learning development on AWS.

🌐 **Connect with us:**
YOUTUBE: – https://www.youtube.com/c/KAUSTUBHSHARMA?sub_confirmation=1
WEBSITE- https://www.kaustubhsharma.com
LINKEDIN:- https://www.linkedin.com/KAUSTUBHSHARMAOFFICIAL
WHATSAPP CHANNEL:- https://whatsapp.com/channel/0029Va9XZseC1Fu7drRBsB06
TELEGRAM:- https://t.me/AICLOUDDEVOPS

🎓 **Stay tuned for more AWS tutorials and machine learning insights!**

#aiproject #mlproject #sagemaker

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