Emerging and Disruptive Technology  

After my previous post ( A Structured Roadmap to Learn Artificial Intelligence AI: A Step-by-Step Guide for Beginners ), I received many requests for a more detailed timeline on how to become a better AI developer. After some thorough research and discussing with experts in the field, I’ve put together a comprehensive guide to help you navigate this journey. The time it takes for an average student to gain proficiency—or even expertise—in Artificial Intelligence (AI) depends on several factors, including: Prior Knowledge: Students with a strong foundation in mathematics, basic AI concepts, Machine Learning (ML), and Deep Learning will generally progress faster than those starting from scratch. Learning Style: Whether you’re learning part-time, full-time, or through an intensive course will impact how quickly you master AI concepts. Study Approach: The method you choose for learning—whether self-study, formal classes, tutoring, or using online courses and textbooks—can affect ...

Artificial Intelligence (AI) is one of the most exciting and rapidly evolving fields in technology today. It offers the potential to revolutionize industries, from healthcare to entertainment, finance to transportation. As you begin your AI journey, it can be easy to feel overwhelmed given the vastness and complexity of the field. However, with a clear roadmap, learning AI can be both manageable and rewarding. This blog post will walk you through a structured roadmap to get started with AI, broken down into easy-to-follow steps. Additionally, we'll explore interesting AI use cases that will simplify your learning experience and make it more engaging. Let’s dive into how you can start learning AI from the ground up. Step 1: Understand the Basics Before diving deep into AI, it's essential to build a strong foundation in key areas. AI is based on multiple disciplines, such as mathematics, programming, and basic machine learning concepts. Having a solid grasp of these fundamentals ...