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AWS SERVICES IN ONE WORDIt 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 SERVICES IN ONE WORDIt is very useful for AWS Certified Cloud Practitioner (CLF-C01) aspirants. Also, useful for those who are new to AWS.
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Amazon Bedrock Agents and AgentCoreUnderstand the current distinction between Bedrock Agents Classic and Amazon Bedrock AgentCore when designing agentic applications.
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Agentic AIAI systems that can reason, plan, use tools, and complete tasks.
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AI AgentsAI systems that use models, tools, context, and control logic to complete tasks.
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AI Powered Multi Cloud FinOps & Intent Based Infrastructure ProvisioningLearn
AI PROJECT-1.0 AWS SageMaker TutorialLegacy SageMaker notebook workflow for building, training, and deploying models. Verify current AWS service and SDK guidance before production use.
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AI PROJECT-1.1 Create a Jupyter NotebookLearn 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 NotebookLearn how to create a Jupyter notebook in the SageMaker notebook instance
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AI PROJECT-1.3 Split the Dataset into Multiple DatasetsLearn how to Split the Dataset into Train, Validation, and Test Datasets
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AI PROJECT-1.4 Convert the Dataset into CSV FilesLearn how to Convert the Dataset into CSV Files
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AI PROJECT-1.5 Upload the Dataset to Amazon S3Learn 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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AI PROJECT-3.0 Gen AI Project - Text GeneratorLearn How to a simple text generator with Amazon Bedrock, LangChain, and Streamlit.
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Amazon Bedrock Production BasicsCore production concerns for building generative AI applications with Amazon Bedrock.
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Amazon SageMaker AI — Current Guide 2026Understand the current Amazon SageMaker AI naming, platform structure, notebook options, and production ML workflow in 2026.
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AWS IAM Least PrivilegeGrant only the permissions required for a task and progressively reduce broad access using evidence from real usage.
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Embeddings in AIHow embeddings represent data as vectors and how similarity search supports retrieval systems.
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Enterprise AI Governance Platform With Policy As Code GuardrailsLearn
Generative AI Security FundamentalsCore security controls for LLM, RAG, and agentic AI applications.
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Introduction to Amazon SageMaker AIUnderstand Amazon SageMaker AI for building, training, and deploying machine-learning models.
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Kubernetes & ComponentsOpen Source Container Orchestration Tool Developed By Google
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LLMsLarge language models and their applications.
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Machine Learning LifecycleA production-oriented view of problem framing, data, training, evaluation, deployment, monitoring, and iteration.