Tech Cirrus: Navigating the Cloud Frontier

If you've been learning AWS with the old Free Tier, you might've missed the quiet but critical shift: Amazon Web Services officially replaced its 12-month Free Tier with a new credit-based model as of early 2025. This isn't just a tweak — it's a strategic overhaul. The goal? Reduce abuse, improve monetization, and better align free access with real-world learning needs. But don't panic. The new system still offers generous access — if you know how to use it . In this guide, we'll break down: How the new AWS Free and Paid plans differ Who qualifies for signup credits Which plan to choose based on your goals Pro tips to avoid unexpected charges Whether you're studying for the AWS Certified Cloud Practitioner , building a personal project, or evaluating AWS for your team — this is essential reading. 🔍 The Two New Paths: Free Plan vs Paid Plan AWS now offers two distinct tiers for new users. Understanding the difference is crucial to avoiding ...

Introduction If you’re starting your journey in Artificial Intelligence , understanding the AI technology stack is crucial. From foundation models like GPT and Llama to real-world applications like ChatGPT and AI copilots, this guide breaks down the entire ecosystem so you can see how everything connects. The AI Stack – Layer by Layer 1. Foundation Models At the base are large-scale models like OpenAI’s GPT , Meta’s Llama , and Anthropic’s Claude . These models are trained on massive datasets and power most modern AI applications. 2. Inference & Platforms Once models exist, they need to be deployed efficiently. Platforms like AWS Bedrock , Google Vertex AI , and Hugging Face handle model serving , fine-tuning , and scaling . 3. Frameworks Frameworks like PyTorch , TensorFlow , and LangChain give developers the tools to build AI workflows and applications. 4. Tools & Integrations Libraries like Scikit-learn , Pandas , and Weights & Biases help with ML experiments....