AI, DATA & ARCHITECTURE
Demystifying AI: What Artificial Intelligence Really Is and How It Works Under the Hood
Artificial intelligence is the buzzword of our time. But what lies under the hood of algorithms like ChatGPT or Tesla's autonomous systems? Let's explore how AI processes data, how it differs from machine learning, and why it is pure mathematics rather than magic.
Why Python Dominated IT? Architecture, Capabilities, and the Dark Side of the Language
Python is the undisputed king of AI and data analysis. Learn why this easy-to-learn language powers the systems of tech giants, how it handles performance limitations under the hood, and when you should choose a different tool.
Vector Databases Demystified: How They Work and Why AI Can't Live Without Them
Traditional databases excel at tables but fail at semantic meaning. Discover vector databases—the foundation of modern AI, RAG systems, and semantic search. Learn how they work and why they are revolutionizing data engineering.
AWS vs Azure vs GCP – Which Cloud to Choose? A Practical Comparison of the Giants
AWS, Azure, or GCP? While all three giants offer virtual machines and databases, the devil is in the details. We compare their services, costs, and ecosystems to help you make the right choice.
Cloud Computing Demystified: Models, Types, and AWS vs Azure vs GCP Comparison
Instead of buying and maintaining your own servers, you simply rent computing power. We explain how cloud computing works, the differences between IaaS, PaaS, and SaaS, and which of the giants – AWS, Azure, or GCP – is best suited for your project.
AI Agents: What Are They and Why Every Developer Needs to Know Them
Discover the world of AI agents. Learn how they differ from classic code and LLMs, how they work in practice, and why designing agentic systems is a key skill for modern software engineers.