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amazon aws cheat sheet

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Amazon Sagemaker Model Registry Cheat Sheet

2026-01-23T03:30:10+00:00

Bookmarks Core Concepts Features Implementation Integration Best Practices Pricing    A dedicated, fully-managed metadata store and governance hub within Amazon SageMaker designed to catalog, version, track, audit, and deploy machine learning (ML) models throughout their entire lifecycle. It serves as the single source of truth for model inventory, lineage, and approval states, enabling collaboration between data scientists, ML engineers, and governance teams while enforcing consistency and compliance in model deployment workflows. Amazon SageMaker Model Registry Core Concepts Model Package Group A logical container that organizes all iterations of a single model solving [...]

Amazon Sagemaker Model Registry Cheat Sheet2026-01-23T03:30:10+00:00

Amazon SageMaker Model Monitor Cheat Sheet

2026-01-12T09:02:21+00:00

Bookmarks Features How It Works Implementation Use Cases Integration Best Practices Pricing    A fully-managed, automated service within Amazon SageMaker that continuously monitors the quality of machine learning (ML) models in production. It automatically detects data drift and model performance decay, sending alerts so you can maintain model accuracy over time without building custom monitoring tools. Features Automated Data Capture & Collection Configures your SageMaker endpoints to capture a specified percentage of incoming inference requests and model predictions. This data, enriched with metadata (timestamp, endpoint name), is automatically stored in your [...]

Amazon SageMaker Model Monitor Cheat Sheet2026-01-12T09:02:21+00:00

Amazon Sagemaker Jumpstart Cheat Sheet

2026-01-12T07:23:56+00:00

Bookmarks Features How It Works Implementation Use Cases Integration Best Practices Pricing    A centralized machine learning hub within Amazon SageMaker AI designed to drastically reduce the time and expertise required to build, train, and deploy models. It provides instant access to a curated catalog of production-ready assets.   Features Foundation Models Hub Access a broad selection of state-of-the-art foundation models from providers like AI21 Labs, Cohere, Meta, Mistral AI, and Stability AI, alongside hundreds of open-source models from Hugging Face. You can evaluate, compare, and perform tasks like text summarization, [...]

Amazon Sagemaker Jumpstart Cheat Sheet2026-01-12T07:23:56+00:00

Amazon Bedrock Data Automation Cheat Sheet

2025-12-30T06:07:02+00:00

Bookmarks Features Use Cases Implementation Security Best Practices Pricing    Amazon Bedrock Data Automation is a purpose-built service for transforming complex, unstructured content—such as invoices, contracts, forms, and research papers—into structured data. It handles the entire pipeline, from document parsing and classification to advanced information extraction using natural language and computer vision, enabling you to build scalable document workflows integrated directly with Knowledge Bases, databases, and analytics tools.   Amazon Bedrock Data Automation Features Multimodal Document Understanding Processes a wide range of document types and formats, including scanned PDFs, digital PDFs, JPEG/PNG images, [...]

Amazon Bedrock Data Automation Cheat Sheet2025-12-30T06:07:02+00:00

Amazon Bedrock Knowledge Bases Cheat Sheet

2025-12-23T08:18:07+00:00

Bookmarks Features Use Cases Implementation Security Best Practices Pricing   A fully managed Retrieval-Augmented Generation (RAG) service that securely connects foundation models to your company's private data sources. It automates the entire pipeline—from ingestion and indexing to retrieval and source attribution—enabling accurate, contextual, and verifiable AI responses without building custom data pipelines.   Amazon Bedrock Knowledge Bases Features Fully Managed RAG Pipeline Automates the end-to-end workflow from data ingestion to indexed storage. Handles parsing of complex documents (text, tables, images), intelligent chunking, vector embedding generation, and storage in your chosen vector database. Broad Data [...]

Amazon Bedrock Knowledge Bases Cheat Sheet2025-12-23T08:18:07+00:00

Amazon Bedrock AgentCore Identity Cheat Sheet

2025-12-18T08:10:29+00:00

Bookmarks Features How It Works Implementation Integration Security Best Practices Pricing A specialized identity and credential management service for AI agents and automated workloads. It provides secure authentication, authorization, and credential management, enabling agents to access AWS and third-party services on behalf of users while maintaining security controls and audit trails. Agent identities are implemented as dedicated workload identities. Amazon Bedrock AgentCore Identity Features Centralized Agent Identity Management Provides a unified directory to create, manage, and organize unique workload identities for every AI agent. Each identity includes specialized metadata and [...]

Amazon Bedrock AgentCore Identity Cheat Sheet2025-12-18T08:10:29+00:00

Amazon Bedrock AgentCore Memory Cheat Sheet

2025-12-08T06:13:27+00:00

Bookmarks How Memory Works Memory Types  Implementation Integration Security Best Practices Pricing A managed service that enables AI agents to store, retrieve, and maintain context across conversations, allowing them to remember user information, preferences, and interaction history for more coherent and personalized responses. How Memory Works Memory Storage and Retrieval The Memory service automatically captures relevant information from agent-user conversations and stores it for future use. When an agent needs context, it queries the memory to retrieve past interactions, user details, or learned facts. The system uses semantic search to [...]

Amazon Bedrock AgentCore Memory Cheat Sheet2025-12-08T06:13:27+00:00

Amazon Bedrock AgentCore Browser Tools Cheat Sheet

2025-12-02T03:32:25+00:00

Bookmarks Features Use Cases Implementation Security Best Practices Pricing A web browsing capability that enables AI agents to access and interact with live websites, extract real-time information, and perform automated web tasks through natural language instructions.   Amazon Bedrock AgentCore Browser Tool Features Live Web Content Access The Browser tool enables agents to navigate to specific URLs and extract text, links, and structured data from web pages. It handles dynamic content rendered by JavaScript and modern web frameworks, automatically managing sessions and following redirects. The tool can access both public websites [...]

Amazon Bedrock AgentCore Browser Tools Cheat Sheet2025-12-02T03:32:25+00:00

Amazon Bedrock AgentCore Cheat Sheet

2025-12-02T03:28:38+00:00

Bookmarks Core Concepts Key Components Features & Capabilities Implementation Guide Use Cases & Examples Integration Patterns Best Practices Pricing Structure Troubleshooting A fully managed service that enables developers to build, deploy, and manage AI agents that can execute complex, multi-step tasks by leveraging company data, APIs, and business logic.   Amazon Bedrock AgentCore Core Concepts What are AI Agents Intelligent assistants understand natural language requests and break them down into actionable steps. These agents can reason, plan, and execute multi-step workflows while maintaining context and memory across conversations. [...]

Amazon Bedrock AgentCore Cheat Sheet2025-12-02T03:28:38+00:00

Amazon SageMaker Data Wrangler

2025-12-12T05:15:52+00:00

Amazon SageMaker Data Wrangler Cheat Sheet Amazon SageMaker Data Wrangler streamlines data preparation and feature engineering for machine learning.  Amazon SageMaker Data Wrangler is a feature in Amazon SageMaker Studio Classic. It integrates data from various sources, allows you to explore, clean, transform, and visualize data, and automates these steps in your machine-learning workflow. Amazon SageMaker Data Wrangler Core Functionalities Data Wrangler provides core functionalities to facilitate data analysis and preparation in machine learning. Import Easily access and import data stored in cloud-based data warehouses and data lakes, such as Amazon S3, Athena, Redshift, Snowflake, and Databricks. The dataset you import [...]

Amazon SageMaker Data Wrangler2025-12-12T05:15:52+00:00

AWS, Azure, and GCP Certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Upskill and earn over $150,000 per year with an AWS, Azure, or GCP certification!

Follow us on LinkedIn, Facebook, or join our Slack study group. More importantly, answer as many practice exams as you can to help increase your chances of passing your certification exams on your first try!