Master Introduction to Generative AI in 4 weeks through hands-on, project-based online training with DSTC.
The Introduction to Generative AI course is a free, beginner-friendly self-paced program designed to help learners understand how generative AI creates text, images, ideas, summaries, code, and other forms of digital content. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
The Introduction to Generative AI course is a free, beginner-friendly self-paced program designed to help learners understand how generative AI creates text, images, ideas, summaries, code, and other forms of digital content.
1. Translate Artificial Intelligence theory into practical, reproducible analysis.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
β’ Master's and senior undergraduate students specializing in Artificial Intelligence
β’ R&D engineers and working professionals applying Artificial Intelligence in industry
β’ Academics and educators building research or teaching capacity in Artificial Intelligence
β’ A portfolio-grade Artificial Intelligence deliverable you can defend and extend.
β’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
What is Generative AI? β’ Difference Between AI, Machine Learning, and Generative AI β’ How Generative AI Creates Content β’ Real-World Applications of Generative AI
Introduction to AI Chatbots and Assistants β’ Basic Idea of Large Language Models β’ Text, Image, Audio, and Code Generation β’ Understanding Prompts and AI Responses
What is a Prompt? β’ Writing Clear and Effective Prompts β’ Improving AI Outputs with Better Instructions β’ Common Prompting Mistakes to Avoid
Accuracy, Bias, and Hallucination Basics β’ Privacy and Ethical Use of AI Tools β’ Responsible Use in Education and Work β’ Limitations of Generative AI
Generative AI in Learning, Research, Business, and Creativity β’ Using Generative AI for Productivity β’ Career and Learning Pathways in AI β’ Mini Learning Activity / Concept-Based Practice
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Generative AI |
| Covered Tool / Platform | Prompting |
| Covered Tool / Platform | AI Chatbots |
| Covered Tool / Platform | Large Language Models |
| Covered Tool / Platform | Responsible AI |
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