Mastering Prompt Engineering for Generative AI 2026
Mahatma Gandhi Institute of Technology (MGIT), Hyderabad
📌About the Event
Mastering Prompt Engineering for Generative AI 2026 is a three-day AICTE-VAANI sponsored workshop organized by the Department of Emerging Technologies, Mahatma Gandhi Institute of Technology (MGIT), Hyderabad. The workshop focuses on practical prompt engineering for Generative AI and Large Language Models (LLMs), covering effective prompt design, optimization, AI workflows, content generation, coding, research, data analysis, and responsible AI practices.
ℹ️ Event Details
- Type: 3-Day Workshop
- Field: Artificial Intelligence and Data Science
- Mode: Offline/In-person
- Venue: Mahatma Gandhi Institute of Technology (MGIT), Hyderabad, Telangana
- Organizer: Department of Emerging Technologies, MGIT
- Supported by: AICTE-VAANI
- Seats Available: Only 50 participants
- The workshop includes expert sessions, hands-on exercises, case studies, and interactive demonstrations on Generative AI and prompt engineering.
📅 Important Dates
- Registration Deadline: September 7, 2026
- Workshop Start Date: September 9, 2026
- Workshop End Date: September 11, 2026
🎯 Eligibility & Rules
- Eligibilty:
- Faculty members of AICTE-approved institutions
- Research scholars
- Professionals working in R&D organizations
- Industry professionals
- Postgraduate (PG) students
- Selection: As per AICTE-VAANI guidelines and on a first-come, first-served basis.
- Participant Limit: 50.
- Minimum Attendance: 80% is required for certificate eligibility.
- Evaluation: A test will be conducted at the end of the workshop.
- Minimum Test Score: Participants need at least 60% marks to meet the certificate criteria.
🏆 Benefits for the Participants
- Participants fulfilling the prescribed attendance and test requirements are eligible for the workshop certificate.
- Participants receive hands-on exposure to prompt engineering and Generative AI tools.
- Sessions cover practical applications including AI-assisted content creation, coding, research, data analysis, problem-solving, and AI workflows.