Category: artificial-intelligence

TensorFlow isn’t only “neural networks” — at the beginning, it’s a powerful tensor math engine. In this video, you’ll learn what TensorFlow is, what a Tensor is, and the key concepts that make everything work: rank, shape, dtype, indexing/slicing, reshaping, broadcasting, and aggregation (reduce operations). Then we make it practical…

Unlock the core ideas that power modern Machine Learning. In this video, we break down ML’s foundation: function approximation, supervised vs. unsupervised learning, and the optimization engine behind nearly every model—Loss Functions and Gradient Descent. To make the concepts real, we walk through two hands-on demos using NumPy and Matplotlib:…

In this video, you’ll learn how to build a fun and practical AI project: a personalized Tweet/Roast Generator using LangChain 2025 and GitHub Models for free. This tutorial introduces PromptTemplate, ChatPromptTemplate, and the LCEL pipe operator, showing how these powerful components let you build clean, reusable AI pipelines with just…

In this video, you’ll learn how to install LangChain 2025, set up GitHub Models for completely free LLM usage, and make your very first AI call using GPT-4o-mini. This is the perfect starting point if you want to build real-world AI applications without paying for tokens or setting up complex…

In this video you’ll learn what AI agents are, why they matter, and how to build a beginner-friendly FAQ chatbot in Python using the OpenAI API.We go from basic concepts to a working demo so you can start building your own AI-powered assistants right away. What you’ll see in this…

Top 7 Best Introductory Books on Artificial Intelligence (AI) AI is transforming industries and everyday life. If you’re ready to dive in, these books will help you understand the concepts, challenges, and potential of Artificial Intelligence. Below, you’ll find each book’s description along with its pros and cons side by…