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AI PROJECT-1.0 AWS SageMaker Tutorial

Legacy SageMaker notebook workflow for building, training, and deploying models. Verify current AWS service and SDK guidance before production use.

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  • AWS SERVICES IN ONE WORD →
  • AWS IAM Least Privilege →
  • Amazon SageMaker AI — Current Guide 2026 →
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1 · Start hereAI PROJECT-1.0 AWS SageMaker TutorialLearn2 · Next stepAI PROJECT-1.6 How to Train the Model?Learn3 · Next stepAmazon S3 AccessDenied — Troubleshooting GuideTroubleshoot4 · Next stepProduction ML Platform ArchitectureArchitecture5 · Next stepAWS DEVELOPER ASSOCIATE CHEATSHEETPrepare

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AI PROJECT-1.0 AWS SageMaker Tutorial

Legacy SageMaker notebook workflow for building, training, and deploying models. Verify current AWS service and SDK guidance before production use.

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Learn
AWS SERVICES IN ONE WORD

It is very useful for AWS Certified Cloud Practitioner (CLF-C01) aspirants. Also, useful for those who are new to AWS.

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AWS IAM Least Privilege

Grant only the permissions required for a task and progressively reduce broad access using evidence from real usage.

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Amazon SageMaker AI — Current Guide 2026

Understand the current Amazon SageMaker AI naming, platform structure, notebook options, and production ML workflow in 2026.

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AI PROJECT-1.1 Create a Jupyter Notebook

Learn how to create a Jupyter notebook in the SageMaker notebook instance

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AI PROJECT-1.2 Download Dataset in JupyterLab or Jupyter Notebook

Learn how to create a Jupyter notebook in the SageMaker notebook instance

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AI PROJECT-1.3 Split the Dataset into Multiple Datasets

Learn how to Split the Dataset into Train, Validation, and Test Datasets

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AI PROJECT-1.4 Convert the Dataset into CSV Files

Learn how to Convert the Dataset into CSV Files

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AI PROJECT-1.5 Upload the Dataset to Amazon S3

Learn how to upload the Dataset to Amazon S3

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AI PROJECT-1.7 How to Deploy the Model?

Learn how to How to Deploy the Model

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AI PROJECT-1.8 How to Evaluate the Model?

Learn how to How to Evaluate the Model

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Amazon Bedrock Agents and AgentCore

Understand the current distinction between Bedrock Agents Classic and Amazon Bedrock AgentCore when designing agentic applications.

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Introduction to Amazon SageMaker AI

Understand Amazon SageMaker AI for building, training, and deploying machine-learning models.

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What is Amazon Macie?

Demand for the cloud has been boosted since the beginning of the pandemic, as businesses try to build resiliency.

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What is difference between Amazon Cognito user pools and identity pools?

With a user pool, your app users can sign in through the user pool or federate through a third-party identity provider (IdP).

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AI PROJECT-3.0 Gen AI Project - Text Generator

Learn How to a simple text generator with Amazon Bedrock, LangChain, and Streamlit.

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Amazon Bedrock Production Basics

Core production concerns for building generative AI applications with Amazon Bedrock.

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What is ElastiCache?

ElastiCache is a managed in-memory caching service (Cache is a temporary storage.

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What is Cloud Computing?

Cloud computing is the on-demand delivery of IT resources over the Internet with pay-as-you-go pricing.

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Kubernetes & Components

Open Source Container Orchestration Tool Developed By Google

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What is Notebook Instance?

Understand Amazon SageMaker notebook instances and how they relate to Jupyter-based ML development.

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AI Agents

AI systems that use models, tools, context, and control logic to complete tasks.

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Machine Learning Lifecycle

A production-oriented view of problem framing, data, training, evaluation, deployment, monitoring, and iteration.

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Agentic AI

AI systems that can reason, plan, use tools, and complete tasks.

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