Objectives of the Programme:
- The objective of the Postgraduate Diploma in Generative Artificial Intelligence program is to develop practical proficiency among learners in modern Generative AI technologies, tools, and methodologies.
- The program focuses on key areas such as large language models, prompt engineering, AI agent systems, and cloud-based AI deployment, ensuring alignment with current technological trends and industry requirements.
- Designed to address the growing demand for AI-skilled professionals, the program aims to equip participants with the capability to design, develop, and deplosssy Generative AI-driven applications across diverse domains including business, education, healthcare, software development, and digital services.
- It emphasizes hands-on learning and real-world problem solving to produce industry-ready practitioners capable of contributing effectively to organizational innovation and digital transformation.
Outcomes of the Programme:
The program aims to equip learners with practical skills required for professional roles in the domain of Generative Artificial Intelligence. Upon completion of the diploma, participants will be capable of designing, developing, and deploying AI-driven applications using modern Generative AI technologies within organizational and industrial contexts.
Graduates will be able to:
- PLO1 – Generative AI Solution Development:
Design, develop, and deploy Generative AI applications using Large Language Models, prompt engineering, and modern AI frameworks to address real-world problems.
- PLO2 – AI Systems Integration and Tool Utilization
Apply appropriate AI tools, platforms, and cloud technologies to build, integrate, and deploy scalable AI systems within practical and organizational contexts.
- PLO3 – Professional Practice, Communication, and Ethics
Demonstrate effective teamwork, communication, and documentation skills, while adhering to ethical principles and responsible AI practices in the development and deployment of AI solutions.
Programme Scheduling Format: Weekend
Minimum Entry Level:
Applicants must possess a minimum of 14 years of education with minimum 45% passing marks from an HEC recognize institution with relevant background.
| Semester 1 |
| Sr. No. |
Course Code |
Course Title |
Credit Hours |
| 1 |
PGD 722 |
Foundation of AI Prgramming |
3 |
| 2 |
PGD 723 |
Generative AI and and Prompt Engineering |
3 |
| 3 |
PGD 724 |
Agentic AI Systems |
3 |
| Total Credit Hours |
9 |
| Semester 2 |
| Sr. No. |
Course Code |
Course Title |
Credit Hours |
| 1 |
PGD 725 |
Cloud Computing for Gen-AI applications |
3 |
| 2 |
PGD 726 |
Generative AI Application Development |
3 |
| 3 |
PGD 798 |
Capstone Project |
3 |
| Total Credit Hours |
9 |