Ends in
00
days
00
hrs
00
mins
00
secs
ENROLL NOW

🧑‍💻 AWS Foundation Sale - Certified Cloud & AI Practitioner Mock Exams for only $12.99 each!

AI

Home » AI

The Death of the Sample: How Virtual UGC is Transforming Multimedia Marketing

2026-01-23T09:07:07+00:00

In the fast-paced world of digital marketing, User-Generated Content (UGC) has long been the gold standard for trust. Seeing a real person hold a product, test a texture, or share an unscripted testimonial triggers a psychological "social proof" that high-production studio ads simply cannot replicate. However, traditional UGC has always been a logistical nightmare: scouting reliable creators, shipping physical samples across borders, managing complex contracts, and praying the lighting and audio are right. Welcome to 2026. The logistics era is over. We have entered the age of Synthetic UGC. What is Synthetic UGC? Synthetic UGC (or Virtual UGC) refers to [...]

The Death of the Sample: How Virtual UGC is Transforming Multimedia Marketing2026-01-23T09:07:07+00:00

GitHub Models

2026-01-23T06:25:10+00:00

GitHub Models Cheat Sheet GitHub Models is a comprehensive suite of developer tools designed to lower the barrier to enterprise-grade AI adoption. It embeds AI development directly into familiar GitHub workflows, helping developers move beyond isolated experimentation. The platform provides tools to test large language models (LLMs), refine prompts, evaluate outputs, and make data-driven decisions using structured metrics—all without requiring separate API keys or complex authentication. Current Status: GitHub Models for organizations and repositories are in public preview and subject to change. The service is designed for learning, experimentation, and proof-of-concept activities with built-in rate limiting to ensure fair access [...]

GitHub Models2026-01-23T06:25:10+00:00

Amazon Bedrock’s LLM-as-a-Judge: Automate AI Evaluation with Nova Lite + Claude

2026-01-23T09:21:49+00:00

Evaluating your LLM’s quality should not cost you too much money or even weeks of your time.  You’re probably  stuck in a limbo of choosing between two options that have their own drawbacks: Automated metrics like BLEU, ROUGE and accuracy scores? Sure, they are quite fast and cheap, but they ultimately fall short in judging real conversations. Since they simply match word patterns, they're not a good fit for open ended responses simply because they can't tell  if they actually understood the question or its tone. As for human reviewers, they do get it right. They captured the context/subtlety and [...]

Amazon Bedrock’s LLM-as-a-Judge: Automate AI Evaluation with Nova Lite + Claude2026-01-23T09:21:49+00:00

Amazon Bedrock API Reference

2026-01-07T13:33:19+00:00

Bookmarks Amazon Bedrock API Reference Common Parameters Amazon Bedrock API Reference Common Errors API Endpoint Structure Best Practices Amazon Bedrock API Reference Sheet Amazon Bedrock API Reference is the master specification for the Amazon Bedrock service. It encompasses protocols, authentication methods, endpoints, common parameters, and error-handling standards used across the entire Bedrock ecosystem (both the Control Plane and the Data Plane).   Amazon Bedrock API Reference Common Parameters Action: (String) Specifies the particular API action to be performed. Version: (String) Indicates the API version used for the request, formatted as [...]

Amazon Bedrock API Reference2026-01-07T13:33:19+00:00

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

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

AI-Driven Cloud Security at AWS re:Invent 2025

2025-12-26T11:28:51+00:00

Cloud computing continues to accelerate at a pace that traditional security models were never designed to support. Development teams now provision infrastructure in minutes, deploy services continuously, and scale applications automatically. However, security processes often lag behind this speed. In many organizations, security still enters the workflow after key architectural decisions are already finalized. As a result, teams spend more time fixing problems than preventing them. Although many organizations attempt to shift security earlier in development, the results are often disappointing. Security tools may run during build or deployment stages, yet they frequently lack the context required to provide meaningful [...]

AI-Driven Cloud Security at AWS re:Invent 20252025-12-26T11:28:51+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!