1. Awareness & Basics Training
(For beginners / non-technical students)
- Introduction to AI & its applications (what AI is, where it’s used: healthcare, education, business, etc.)
- Understanding AI tools in daily life (ChatGPT, Grok, Gemini. VEO3, Grammarly, Canva AI, etc.)
- Ethics & Responsible AI use (bias, privacy, digital footprint, plagiarism).
- Prompting Basics – how to ask AI the right questions for better answers.
🔹 2. Productivity Training
(For students in any stream)
- AI for Research & Learning
- Summarizing articles, making notes, simplifying tough concepts.
- AI for Writing & Communication
- Drafting essays, emails, reports, and presentations.
- AI for Creativity
- Generating images, music, or videos (Canva AI, MidJourney, RunwayML).
- AI for Study Assistance
- Creating flashcards, quizzes, mind maps.
🔹 3. Technical Training (STEM Students)
- Introduction to Machine Learning concepts (no/low-code tools like Teachable Machine, Lobe.ai).
- AI Coding Tools
- Using GitHub Copilot, ChatGPT for coding help.
- Data Handling with AI
- Using AI for analyzing datasets (Excel + AI plugins, ChatGPT with Python).
- AI in Robotics & IoT (basic integration projects).
🔹 4. Career-Oriented Training
- AI for Resume & Job Applications (AI resume builders, interview practice bots).
- AI in Business & Startups (marketing, customer service, market research with AI).
- Freelancing with AI Tools (content creation, graphic design, automation).
🔹 5. Advanced / Project-Based Training
- AI Project Development (chatbots, recommendation systems using simple frameworks).
- Hackathons with AI Tools – practical problem-solving using AI.
- AI + Domain Projects (AI in healthcare, AI in finance, AI in education, etc.).