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AWS Cheat Sheets

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AWS Bedrock’s Intelligent Prompt Routing: Smarter AI for Everyone

2025-09-14T15:41:13+00:00

When we interact with AI models, we often expect them to instantly understand our intent and give the right answer. But the truth is, not every model is designed for every type of task. Some are fast but shallow, others are detailed but resource-heavy. Here’s a question I always hear from both students and professionals, "How do you make sure AI gives the best answer for what you need?" That is where Prompt Routing comes in. Prompt Routing is the practice of directing your request to the right AI model based on what you actually need. It works like assigning [...]

AWS Bedrock’s Intelligent Prompt Routing: Smarter AI for Everyone2025-09-14T15:41:13+00:00

AWS AI League: Empowering Developers for Change

2025-09-14T12:20:03+00:00

Have you ever wondered if the power of AI could be harnessed not just by tech giants, but by everyday developers and communities to tackle real-world problems like climate change or healthcare access? In a world where AI is often seen as a tool for big business, Amazon Web Services (AWS) is flipping the script with its latest initiative. The AWS AI League is bringing developers together in a collaborative challenge to build AI solutions for pressing societal issues. I'm excited to dive into why this stands out as a fresh approach in the AI landscape—one that emphasizes community-driven innovation [...]

AWS AI League: Empowering Developers for Change2025-09-14T12:20:03+00:00

Amazon Comprehend Medical

2025-09-01T03:26:50+00:00

Bookmarks Benefits of Amazon Comprehend Medical How Amazon Comprehend Medical Works Amazon Comprehend Medical Use Cases Amazon Comprehend Medical Security Amazon Comprehend Medical Pricing Validate Your Knowledge Amazon Comprehend Medical Cheat Sheet Amazon Comprehend Medical is a fully managed, HIPAA-eligible AWS service leveraging pretrained machine learning and natural language processing (NLP) models. It extracts structured medical information from unstructured clinical text, including physician notes, discharge summaries, lab results, and case notes. Detects entities such as medical conditions, medications, treatments, procedures, anatomy, and protected health information (PHI). Enables ontology linking by mapping [...]

Amazon Comprehend Medical2025-09-01T03:26:50+00:00

Amazon SageMaker Clarify

2025-08-29T07:18:48+00:00

Bookmarks Key Capabilities Core Components Configuration Components Bias Metrics Overview SHAP Explainability Validate Your Knowledge Amazon SageMaker Clarify Cheat Sheet Amazon SageMaker Clarify is a SageMaker AI feature for detecting bias and explaining model predictions. Supports both pre-training and post-training bias analysis. Provides feature attribution to explain how input features influence predictions. Can monitor deployed models for bias drift and feature attribution drift over time. Key Capabilities Bias Detection Pre-training bias: Analyzes datasets before model training. Post-training bias: Evaluates model predictions for fairness across facets. Supports binary, multiclass, and regression tasks. Interpreting [...]

Amazon SageMaker Clarify2025-08-29T07:18:48+00:00

Amazon DataZone

2025-08-15T18:27:14+00:00

Amazon DataZone Cheat Sheet Amazon DataZone is a fully managed data management service by AWS. Facilitates cataloging, discovery, sharing, and data governance across AWS, on-premises, and third-party sources. Enables organizations to implement a data mesh architecture, promoting decentralized data ownership and self-service analytics. Integrates seamlessly with AWS services like Amazon Redshift, Amazon Athena, AWS Glue, and AWS Lake Formation. Features Business Data Catalog: Organizes data assets within the business context, making them easily discoverable. Data Products: Groups related data assets into cohesive units for specific business use cases, simplifying access and management. Automated Metadata Generation: Utilizes large language models (LLMs) [...]

Amazon DataZone2025-08-15T18:27:14+00:00

Amazon Data Firehose

2025-08-15T18:25:17+00:00

Amazon Data Firehose Cheat Sheet Easily stream real-time data to AWS destinations without custom applications. Adjusts resources dynamically to match data volume. AWS Lambda supports data format conversion (e.g., Parquet, ORC) and custom transformations. Works seamlessly with Amazon S3, Redshift, OpenSearch, Splunk, and third-party HTTP endpoints. Features Real-Time Data Delivery: Streams data with minimal latency to multiple destinations. Data Buffering: Configurable buffer sizes and intervals to control data flow. Compression & Encryption: Supports GZIP and Snappy compression; integrates with AWS KMS for encryption. Monitoring & Alerts: Amazon CloudWatch metrics and alarms monitor delivery stream health. Dynamic Partitioning: Organizes data into [...]

Amazon Data Firehose2025-08-15T18:25:17+00:00

AWS Clean Rooms

2025-08-15T18:23:30+00:00

AWS Clean Rooms Cheat Sheet AWS Clean Rooms provide a secure, privacy-enhanced collaboration environment for analyzing shared datasets without exposing underlying data. Allows fast collaboration setup with minimal configuration, enabling users to analyze datasets where they reside (AWS or Snowflake). No need to move or extract data for collaborative analysis. Features Fast Setup: Use AWS Management Console or API to create collaboration spaces in minutes. Zero‑ETL Data Collaboration: Analyze data without transferring it from AWS or Snowflake. Privacy Controls: Differential Privacy: Protects against re-identification by obfuscating outputs. Cryptographic Computing: Keeps data encrypted during use and processing (C3R). Role-Based Access: Control [...]

AWS Clean Rooms2025-08-15T18:23:30+00:00

Amazon Cloud Directory

2025-08-14T10:09:33+00:00

Amazon Cloud Directory Cheat Sheet Amazon Cloud Directory is a fully managed, cloud-native directory service that handles complex hierarchical data structures, such as organizational charts, device registries, etc. Supports directories with hundreds of millions of objects and relationships, making it ideal for large organizations. You can design custom schemas for your specific needs and share schemas across multiple applications. No need for manual server management or scaling. AWS handles everything. Use hierarchical structures with flexible facets and attributes to organize data in a way that best fits your application. Features Multi-Dimensional Hierarchies: Create complex, multi-level hierarchies spanning dimensions like location, [...]

Amazon Cloud Directory2025-08-14T10:09:33+00:00

AWS Entity Resolution

2025-08-14T10:35:00+00:00

AWS Entity Resolution Cheat Sheet AWS Entity Resolution is a fully managed service that helps organizations match, link, and enhance records across various customer, product, business, or healthcare data sources. It automates data integration by resolving duplicates and merging fragmented records. The service offers rule-based, machine learning-powered, and third-party matching techniques, ensuring high-quality, unified datasets. It also supports data encryption for security and compliance. Improving data quality enables better decision-making, enhanced customer profiles, and streamlined operations. Features Minimized Data Movement: Reads data where it resides (e.g., S3), reducing unnecessary data transfers. Flexible Data Input & Schema Mapping: Supports up to [...]

AWS Entity Resolution2025-08-14T10:35:00+00:00

Amazon DevOps Guru

2025-08-13T17:40:34+00:00

Amazon DevOps Guru Cheat Sheet Amazon DevOps Guru is a fully managed service that improves application performance and availability. Automates the detection and analysis of operational issues. Removes the burden of manual monitoring by identifying anomalies and generating actionable recommendations. Uses machine learning to analyze application metrics, logs, and events. Detects deviations from normal behavior to identify potential problems. Provides both reactive insights for current issues and proactive insights to help prevent future incidents. Notifies users when a potential problem is identified. Provides intelligent guidance to accelerate resolution. Features ML-Driven Insights: Detects anomalies across logs, metrics, events, and traces. Proactive + [...]

Amazon DevOps Guru2025-08-13T17:40:34+00:00

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