Learn Linear Algebra basics, including vectors and matrices, along with Probability and Statistics concepts like mean, median, and standard deviation, essential for Machine Learning.
Learn how to manipulate data with Numpy and Pandas, and visualize insights using Matplotlib in Python.
An introduction to data types, data cleaning, and preprocessing for beginners, exploring the fundamental role data plays in AI.
Learn about functions, lists, dictionaries, file handling, and error management in Python in a simple and beginner-friendly way.
Dive into the critical security challenges facing Large Language Models (LLMs) in 2024. Understand the OWASP Top 10 vulnerabilities, real-life examples, and strategies to secure AI systems.
An introduction to the three main types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning, with real-world examples and applications across industries.
An introduction to the basics of Artificial Intelligence (AI), covering its types and applications in healthcare, finance, and entertainment. Spoiler Alert!, We didn't Even reach its 2nd Level yet
An in-depth guide taking you from the fundamentals of AI to advanced Generative AI and Large Language Models (LLMs). Perfect for those starting from scratch!
Dive into how Retrieval-Augmented Generation (RAG) is transforming AI applications across customer service, video content, healthcare, and more. Discover how RAG makes AI systems more accurate, relevant, and responsive.