EA2C4L7 Required Aptitudes — Math, Coding, Problem Solving, and Pattern Recognition

EA2C4L8 Work Environment — Research Labs, AI Startups, & Enterprise R&D Teams

EA2C4L10 What to Choose After 12th — Physics, Math, and Computer Science Stream

EA2C4L11 Extracurriculars & Competitions — Kaggle, Hackathons, Science Fairs

EA2C4L12 Portfolio Building — Early Projects in Image Classification & OpenCV

EA2C4L14 Top Colleges & Universities — India (IITs, IIITs, BITS) & Global (Stanford, MIT, CMU)

EA2C4L15 Scholarships & Alternate Learning Paths (MOOCs, AI Institutes)

EA2C4L17 Key Subjects — Computer Vision, Linear Algebra, Probability, Deep Learning

EA2C4L18 Labs & Projects — Image Segmentation, Object Detection, GANs

EA2C4L19 Assessments — Research Papers, Model Implementation, and Presentations

EA2C4L21 Essential Tools & Libraries — OpenCV, TensorFlow, PyTorch, YOLO, Detectron2

EA2C4L122 Coding Skills — Python, NumPy, CUDA, MATLAB for Vision Systems

EA2C4L23 Communication & Collaboration — Working in Interdisciplinary AI Teams

EA2C4L25 Mid-Level Roles — Applied Scientist, ML Engineer, Vision Architect

EA2C4L26 Senior Roles — Research Scientist, AI Lead, or Vision Director

EA2C4L27 Salary Insights — India, US, Europe, and Remote Research Labs

EA2C4L28 Career Maps — Growth from Engineer to Scientist to Research Head

EA2C4L30 Building a Research Portfolio — Publishing, GitHub, and Open Source

EA2C4L31 New Career Branches — Vision for Robotics, Medical Imaging, AR/VR, Autonomous Driving

EA2C4L32 Your 5-Year Action Plan — Education, Projects, and Networking Path

EA2C4L33 Related Careers — ML Engineer, Robotics Engineer, Data Scientist, AI Researcher