Learn → Test → Improve

A secure design case for browser-to-object-storage uploads with authorization, validation, isolation, and asynchronous processing.

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

A design case for highly resilient APIs with explicit failure domains, traffic management, data strategy, and recovery objectives.

Core security controls for LLM, RAG, and agentic AI applications.

Learn how to upload the Dataset to Amazon S3

Diagnose AWS authorization failures using the principal, action, resource, and policy evaluation path.

Learn how to Convert the Dataset into CSV Files

Learn how to How to Train the Model

A design case for tool-using AI agents with bounded execution, authorization, observability, and safe failure handling.

A practical path for diagnosing S3 AccessDenied errors across identity, bucket policy, encryption, and ownership controls.

Learn how to How to Deploy the Model

Learn how to How to Evaluate the Model

Cloud, architecture, reliability, security, scalability, data, and cost interview questions.

In this video, we will learn about how to use a computer without a mouse.

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

Legacy SageMaker notebook workflow for building, training, deploying, and evaluating an XGBoost model. Verify current SDK APIs before production use.

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

A requirements-first method for reviewing AWS workloads across operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability.

A requirements-first architecture pattern for designing a production retrieval-augmented generation platform.

Diagnose Amazon Bedrock access failures across region, model access, IAM, quotas, networking, and request configuration.

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

Current study guide for AWS Certified Solutions Architect – Associate, with the SAA-C03 exam scope, architecture skills, and a practical preparation path.

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

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