Blended learning integrates conventional and online education of AI and robotics using:
Flipped Classroom – Theory is learnt online (tutorials, videos) and practice is done during hands-on laboratory sessions.
Virtual Labs & Simulations – Packages such as ROS, Jupyter Notebooks, and Google Colab enable the execution of hands-on AI/robotics experiments without hardware.
Hackathons & Competitions – Blended AI and robotics competitions using Kaggle, Raspberry Pi, and Arduino.
Online Courses & Certifications – MOOCs (Coursera, Udacity) and industry certifications (TensorFlow, Azure ML).
Cloud & Remote Collaboration – AI projects with Google AI, IBM Watson, and GitHub for team coding.
IoT & Robotics Integration – Cloud-based remote control of physical robots.
AI Learning Assistants – Chatbots and AI tutors for individualized mentoring.