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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

How to Stay Valuable as Cloud Tools Keep Changing

2025-12-30T08:06:12+00:00

If you work in cloud computing or are trying to break into it you have probably wondered how to stay valuable in cloud computing when the tools you learn today may be irrelevant tomorrow. Cloud platforms evolve quickly. Amazon Web Services releases new services every year, updates existing ones, and quietly deprecates others. DevOps tooling shifts just as fast. It is easy to feel like staying relevant means constantly chasing whatever is new. In reality, long-term value in cloud careers has very little to do with memorizing tools.  Why Tool Chasing Becomes a Trap Many people approach cloud learning by [...]

How to Stay Valuable as Cloud Tools Keep Changing2025-12-30T08:06:12+00:00

Building a Cost-Aware RAG Application with Amazon Bedrock

2026-01-04T15:23:35+00:00

What if your Client can have a Chatbot that throws a highly accurate responses based on your documents? Without having a guilt of the monthly expenses. Without even subscribing to any costly,  AI-support subscriptions. Only pay per inquiry requests to your model provider,  and of course only costs you cents, and it lessens when your client is already satisfied with the answer, as it returns a fully verified response based from the documents you have in your database? Consider this as well, it is cost-aware, making sure that it will notify you once it exceeds your budget limits for you [...]

Building a Cost-Aware RAG Application with Amazon Bedrock2026-01-04T15:23:35+00:00

Zero-Sweat: A Comprehensive Guide to IAM Policy Autopilot

2025-12-28T16:02:53+00:00

Picture this: your application works perfectly on your local machine. You deploy it to AWS, then immediately hit an “Access Denied” error. If you’ve worked with AWS for any length of time, you’ve experienced this. What follows is usually a frustrating dive into IAM documentation, trial-and-error permission updates, and lost development momentum. AWS Labs created IAM Policy Autopilot to solve exactly this problem. IAM Policy Autopilot analyzes your application code and generates AWS IAM policies based on the actual SDK calls your code makes. No guessing. No hallucinated permissions. Just deterministic, repeatable policy generation. What Is IAM Policy Autopilot? IAM [...]

Zero-Sweat: A Comprehensive Guide to IAM Policy Autopilot2025-12-28T16:02:53+00:00

AWS Career Paths Explained: Cloud Engineer vs Solutions Architect vs DevOps Engineer

2025-12-28T07:57:24+00:00

At some point in your AWS journey, you will probably stop and ask yourself a simple question: “What job am I actually preparing for?” You might already be learning AWS services, building labs, or taking practice exams. You know what EC2, S3, and IAM are. At the same time, you keep seeing job titles like Cloud Engineer, Solutions Architect, and DevOps Engineer. Sometimes they sound interchangeable. Other times they feel like completely different careers. Choosing between different AWS career paths can be confusing, especially when job titles overlap but day-to-day work looks very different. These roles overlap by design, but [...]

AWS Career Paths Explained: Cloud Engineer vs Solutions Architect vs DevOps Engineer2025-12-28T07:57:24+00:00

The Year of the Agent: Anthropic’s Claude AI Models and Agents

2025-12-26T17:20:34+00:00

  Looking back on the past year of 2025 coding with the help of artificial intelligence, we can safely say that it was the year of agents, especially pioneered by Anthropic with Claude Code. AI products have matured to offer highly reliable agents that can understand, navigate, and work seamlessly on large codebases. It is the end of the old ways: of manually copying and pasting code into web AI applications. Agents are now actually part of the codebase, navigating around like a real developer. And they can now be left with long-running tasks on their own,opening and working on [...]

The Year of the Agent: Anthropic’s Claude AI Models and Agents2025-12-26T17:20:34+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

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