Indian Institute of Technology Kanpur

AI for Everyone

Indian Institute of Technology Kanpur

Artificial Intelligence & Machine Learning

About Programme

Course Highlights

Understand AI, Machine Learning, Deep Learning, Generative AI, and LLMs, and how they relate.
Apply the CREATE prompting framework to transform vague prompts into structured prompts with more reliable outputs.
Learn to design an easy Custom GPT or reusable AI Skill with a clear purpose, data sources, instructions, and guardrails.
Choose an AI workflow suitable to your informational needs, whether they're quick queries, Deep Research projects, grounded notebooks, or visualization tools.
Learn to manage AI output using tokens and temperature, and reuse one source into multiple formats, including notes, quizzes, documents, and slide outlines.
Learn the difference between an AI assistant and an agent and follow the Verify, Protect, Disclose, Own principles to apply responsible AI use.
Build practical AI knowledge through guided mini-labs, live demo walkthroughs, & interactive elements.

Programme Content

What AI can do and How it learns

  • AI capabilities today: Personalise, Create, Understand, Act
  • AI family tree: AI → Machine Learning → Deep Learning → Generative AI → LLMs
  • How a model learns: Data → Predict → Compare → Adjust
  • Neural network training loop: Input → Network → Predict → Loss → Backprop → Optimizer

    • Prompt Better, Think Better

  • Why prompts matter (prompts as the "grammar" for LLMs)
  • Bad prompt vs. good prompt comparison
  • Applications & impact of good prompting
  • The CREATE Framework: Character, Request, Examples, Adjustments, Type of Output, Extras

    • Build Your Personal AI Assistant

  • What is a Custom GPT
  • Case study: Python Ki Pathshala (bilingual custom GPT, SPHERE framework)
  • Why build a Custom GPT (accuracy, consistency, special features, use cases)
  • Prompt, Skill, and Custom GPT

    • Research, Learn, and Visualize with AI

  • Normal AI conversation vs. Deep Research
  • Deep Research process: Ask → Plan → Investigate → Synthesize → Verify
  • GROUND: working from trusted sources
  • LEARN: one source collection → many learning artifacts (Q&A, summaries, quizzes, slide decks, audio/video)
  • VISUALIZE: Text → Structure → Visual (e.g., Napkin AI)

    • Creating, Controlling, Transforming, and Extending Content with AI

  • CREATE: generating a first useful version (e.g., slides), AI vs. presenter-refined output
  • Reusable master prompt for presentations
  • CONTROL: length (tokens) and creativity (temperature)
  • MODIFY: one source → many outputs (notes, quiz, podcast, slide outline)
  • GROW: extending beyond existing knowledge with real-time, verified information

    • From AI Assistants to AI Agents

  • Ask → Assist → Act: the shift from responses to actions
  • What makes a system agentic: Goal → Plan → Tools → Act → Review → Human
  • AI Assistant vs. AI Agent (the "useful test")
  • The skill shift for humans: Define → Design → Evaluate → Decide
  • Responsible AI: Verify, Protect, Disclose, Own

    • Programme Benefits

    Build a Strong AI Foundation

    Build your AI understanding by learning the essentials of Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, LLMs, and the limitations of AI systems.

    Master Practical Prompting Skills

    Use the CREATE framework - Character, Request, Examples, Adjustments, Type of Output, and Extras - to transform basic prompts into structured and effective instructions.

    Build Your Own AI Assistant

    Learn the principles behind creating a Custom GPT or reusable AI Skill, including defining its purpose, selecting data sources, creating instructions, and establishing guardrails.

    Choose the Right AI Workflow

    Understand when to use different AI workflows, including quick asks, Deep Research, grounded notebooks, and visualization tools, based on the information problem you need to solve.

    Control and Repurpose AI Outputs

    Learn how tokens and temperature influence AI responses and discover how to transform one source into multiple useful formats, such as notes, quizzes, documents, and presentation outlines.

    Understand AI Agents

    Learn how AI assistants differ from AI agents and explore an agentic workflow based on Goal, Plan, Tools, Act, Review, and Human involvement.

    Learn Responsible AI Practices

    Apply the four Responsible AI principles - Verify, Protect, Disclose, and Own - when leveraging AI tools and consider delegating tasks to AI agents.

    Learn Through a Flexible Self-Paced Format

    Complete the course through pre-recorded videos, live demonstration walkthroughs, guided mini-labs, interactive on-screen elements, and short quizzes at your own pace.

    Start Without Technical Experience

    Build practical AI skills without prior coding, ML, AI or technical knowledge. The course is designed for absolute beginners.

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    Prashansa Uttam

    Programme Advisor

    +91 9403890085contact@echomind.oneMon – Fri, 9am – 5pm IST

    Indian Institute of Technology Kanpur

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    https://www.iitk.ac.in
    Kanpur, India

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    AI for Everyone | IIT Kanpur