Engineering Navigator

A production-oriented introduction to retrieving external information and using it as context for generative AI responses.

A practical framework for evaluating LLM, RAG, and agent systems before and after production release.

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

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

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

How embeddings represent data as vectors and how similarity search supports retrieval systems.

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

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

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

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

Open Source Container Orchestration Tool Developed By Google

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

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

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

Learn how to How to Evaluate the Model

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

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

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

Large language models and their applications.

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

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

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

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