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AWS Cheat Sheets

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Amazon Bedrock Prompt Management

2025-12-30T14:14:17+00:00

Bookmarks Core Concepts Supported Regions and Models Prerequisites Creating a Prompt Viewing Prompt Information Modifying a Prompt Testing a Prompt Optimizing a Prompt Deployment using Versions Deleting a Prompt Security Best Practices Pricing Amazon Bedrock Prompt Management Cheat Sheet Amazon Bedrock Prompt Management is a centralized prompt management system for generative AI, enabling easy creation, testing, versioning, and deployment of structured prompts while separating prompt engineering from application code. It offers key [...]

Amazon Bedrock Prompt Management2025-12-30T14:14:17+00:00

Amazon Titan

2025-12-30T14:40:34+00:00

Bookmarks Features Use Cases Amazon Titan Text Models Amazon Titan Text Embeddings Models Amazon Titan Multimodal Embeddings G1 Model Amazon Titan Image Generator G1 Models Pricing Amazon Titan Cheat Sheet Amazon Titan models are a family of powerful, general-purpose models pre-trained by AWS on massive datasets. They are designed to be used out of the box or fine-tuned with your own data, allowing you to adapt them for specific tasks without the need to annotate large volumes of training data. The Titan family consists [...]

Amazon Titan2025-12-30T14:40:34+00:00

AWS Strands Agents

2025-12-30T14:06:23+00:00

Bookmarks Key Features Use Cases Implementation Approach for Strands Agents Real World Examples of Strands Agents Agents Tools Model Providers Streaming Multi-Agent Safety and Security Observability and evaluation Strands Agents vs. Strands Agents SOPs Pricing AWS Strands Agents Cheat Sheet AWS Strands Agents is an open-source SDK that enables developers to build, test, and deploy AI agents by simply defining a prompt and a list of tools in code. True to its [...]

AWS Strands Agents2025-12-30T14:06:23+00:00

AWS Agent Squad

2025-12-30T14:03:07+00:00

Bookmarks Key Features Use Cases How AWS Squad Agents Work Agents Supported (Built-in Agents) Core Concepts Pricing AWS Agent Squad Cheat Sheet An open-source framework for orchestrating and routing user queries across multiple specialized AI agents. It uses LLM-based intent classification to dynamically assign tasks to the best-suited agent, such as Amazon Bedrock models, Lex bots, or Lambda functions, while maintaining unified conversation context for seamless interactions.   Key Features Intelligent Intent Classification: Dynamically routes queries to the most suitable agent by analyzing context and content. [...]

AWS Agent Squad2025-12-30T14:03:07+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 Flows Cheat Sheet

2025-12-30T05:34:25+00:00

Bookmarks Features Use Cases Implementation Security Best Practices Pricing    Amazon Bedrock Flows is a core feature for implementing production-ready, complex generative AI applications. It abstracts the heavy lifting of coding integrations, state management, and deployment pipelines into a drag-and-drop visual interface or API. This allows teams—from developers to subject-matter experts—to collaborate and rapidly iterate on AI workflows, moving from prototyping to scalable, versioned deployments in minutes.   Amazon Bedrock Flows Features Visual, Low-Code/No-Code Builder Design workflows using a drag-and-drop interface in Amazon Bedrock Studio. Link nodes representing Prompts, Foundation Models (FMs), Knowledge [...]

Amazon Bedrock Flows Cheat Sheet2025-12-30T05:34:25+00:00

AWS Ground Station

2025-12-23T14:37:34+00:00

Bookmarks Features Key Concepts High-Level Architecture Diagram Use Cases Best Practices Security Region Availability Pricing AWS Ground Station Cheat Sheet A fully managed service that enables customers to control satellite communications, process satellite data, and scale satellite ground operations by using a global network of AWS-managed ground station antennas. Features Provides access to a global network of AWS-managed satellite ground station antennas. Eliminates the need to build, own, or operate physical ground station infrastructure. Supports on-demand satellite contact scheduling. Enables low-latency data delivery directly into AWS services. Integrates seamlessly [...]

AWS Ground Station2025-12-23T14:37:34+00:00

Amazon Braket

2025-12-23T14:35:48+00:00

Bookmarks Features Key Concepts High-Level Architecture Diagram Use Cases Best Practices Security Region Availability Pricing Amazon Braket Cheat Sheet A fully managed quantum computing service that enables developers, researchers, and businesses to explore, build, and run quantum algorithms using multiple quantum hardware providers and classical simulation tools through a single AWS-managed platform. Features Provides access to multiple quantum computing technologies, including superconducting, trapped ion, and neutral atom devices. Supports fully managed quantum circuit execution without managing quantum hardware infrastructure. Includes high-performance quantum circuit simulators for development and testing. Integrates [...]

Amazon Braket2025-12-23T14:35:48+00:00

AWS Supply Chain

2025-12-23T17:21:53+00:00

Bookmarks Features Key Concepts High-Level Architecture Diagram Use Cases Best Practices Security Region Availability Pricing AWS Supply Chain Cheat Sheet A cloud-based supply chain management service that helps organizations gain end-to-end visibility, predict risks, and optimize supply chain planning using AWS-native data, analytics, and machine learning. Features Provides end-to-end supply chain visibility across demand, supply, inventory, and logistics data. Utilizes AWS-managed data ingestion pipelines to unify data from ERP systems, data lakes, and third-party sources. Applies machine learning or ML models to identify risks such as demand volatility, supplier [...]

AWS Supply Chain2025-12-23T17:21:53+00:00

Amazon Forecast

2025-12-23T14:30:58+00:00

Bookmarks Features Key Concepts High-Level Architecture Diagram Common Use Cases Best Practices Pricing Security Amazon Forecast Cheat Sheet A fully-managed time-series forecasting service that utilizes machine learning to generate highly accurate predictions without requiring deep ML expertise. It helps businesses predict future outcomes such as demand, sales, inventory, staffing, or resource usage by analyzing historical time-series data and related variables. Features Fully managed service that handles data preprocessing, model training, tuning, and hosting for you. Uses machine learning or ML models that are purpose-built for time-series forecasting. Automatically detects seasonality, [...]

Amazon Forecast2025-12-23T14:30:58+00:00

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