First and foremost, ignore any videos or courses that claim you can become an AI or Machine Learning engineer without mathematics . Find me on Tech Yatra Jiwan ⭐ AI Engineer Banne Ki Yatra (Journey to Become an AI Engineer) | Tech Yatra Jiwan Learn Transferable and Non-Transferable Tech Skills in the AI Age Every Year Series: Fundamentals of AI Use Cases Math's for AI/ML Engineer Fundamentals of Computer Science Fundamentals of Computer Networking & Cyber Security Programming & Software Engineering Data Structure & Algorithm with Python & C++ Fundamentals of AI & ML Transferable Skills: AI/ML core concepts Programming logic Soft skills: communication, teamwork, problem-solving Projects: unique solutions that solve real pain points or improve existing systems Non-Transferable Skills: Specific AI/ML tools & frameworks Language wars (Python vs JavaScript) Trendy frameworks Thinking salary negotiation is the only soft skill Repetitive projects like generic e-...
Future of IT Teacher in AI Age The role of an IT teacher will not disappear in an advanced AI era. It will shift, grow, and actually become more important in several ways. Here is a clear picture of where the future is heading. 1. From teaching tools to teaching thinking AI can automate repetitive tasks, generate code, explain errors, and create lesson content. What students will still need is someone who guides their thinking, helps them build problem solving habits, and corrects misunderstandings before they become permanent. An IT teacher becomes the one who shapes how students reason, not just what buttons they click. AI can answer questions, but it cannot shape a student’s mindset. The future IT teacher trains students to think clearly, evaluate information, understand systems, break down problems, and detect false assumptions. This becomes the most valuable skill because AI tools will be everywhere, but disciplined thinking will not come automatically. 2. Focus on concept...