IFDP ON GENERATIVE AI:INNOVATION AND APPLICATION FOR SOCIAL IMPACT

About CSE Department:

The Computer Science and Engineering Department (CSED) at MJCET, established in 1986, offers a 4-year BE (CSE) program with an annual intake of 480 students, supported by state-of-the-art facilities, including 12 advanced labs, 339 systems, licensed software, and high-speed internet. It houses specialized labs like the Centre for Innovative Computing and the Khan Lateef Mohammed Khan Centre, designed for training and research. The department also offers an M.Tech. (CSE) program, initiated in 2010 and expanded in 2024, and a Ph.D. (CSE) research center established in 2018. With 36 faculty members, including 7 doctorates, and collaborations with organizations like iHub-IIIT Hyderabad and the Cybersecurity Center of Excellence, CSED combines robust academics with industry-driven initiatives, fostering innovation and research excellence.

About IFDP:

The FDP is designed to bring together a versatile lineup of speakers, including internationally renowned experts who will join virtually, and prominent professionals from Hyderabad, who will conduct offline sessions. The program will include hands-on workshops and interactive discussions aimed at enhancing the pedagogical and research skills of participating faculty members and research scholars on the topic “Generative Artificial Intelligence.” We anticipate participation from faculty members of all major institutes in Hyderabad and research scholars eager to benefit from the insights and expertise shared during the program.

IFDP Objective:

The objective of the 5- day Faculty Development Program on Generative AI would be to equip educators with the knowledge, skills, and tools necessary to understand, implement, and leverage generative AI technologies effectively in their teaching, research, and professional practice. Specifically, the program aims to achieve the following goals:

1. Understanding Generative AI Concepts

• Introduce the foundational concepts of generative AI, including machine learning, neural networks, and large language models.
• Explain the applications, capabilities, and limitations of generative AI in various fields.

2. Building Technical Proficiency

• Provide hands-on experience with generative AI tools and platforms.
• Teach participants how to design and implement AI-driven solutions for academic and research purposes.

3. Enhancing Teaching and Learning

• Explore how generative AI can enhance pedagogy by creating customized content, automating assessments, and facilitating interactive learning experiences.
• Discuss best practices for integrating generative AI into the curriculum while maintaining academic rigor and integrity.

4. Promoting Research and Innovation

• Encourage participants to explore research opportunities in the field of generative AI, including developing innovative applications and solving real-world problems.
• Support interdisciplinary collaboration by identifying synergies between generative AI and various academic disciplines.

5. Addressing Ethical and Societal Implications

• Raise awareness about ethical concerns, such as bias, transparency, intellectual property, and privacy, associated with generative AI.
• Equip faculty with strategies to guide students on responsible use and critical evaluation of AI-generated content.

6. Fostering Lifelong Learning and Adaptability

• Prepare faculty to keep pace with the rapidly evolving landscape of AI technology.
• Cultivate a mindset of continuous learning and adaptability in the face of emerging challenges and opportunities.

7. Encouraging Institutional Growth

• Align the program's outcomes with the institution’s strategic goals for digital transformation and innovation.
• Empower faculty to lead initiatives that enhance the institution’s reputation in AI-driven education and research.

By achieving these objectives, the program can ensure that educators are not only informed about generative AI but are also capable of leveraging its potential to drive academic excellence and innovation.

Targeted Participants

The targeted participants of this FDP will be composed of educators, professionals, researchers and PhD scholar working in the field of Artificial Intelligence. The participating candidates will benefit by getting a deep understanding and it will also enable participants to convert their product ideas into a working prototype.

Information to Participants

• A minimal registration fee of Rs 200/- will be charged from the participants.
• The FDP will be conducted in offline mode.
• The participants who have attendance more than 60% and score minimum 80% marks in the quiz will be issued certificates.
• Intimation to the participants about registration confirmation shall be given through mail.

Registration:

All the participants should register for the workshop using the link https://shorturl.at/wdl1n

Click here for the Brochure

Click here for the Event Poster

Click here for the detailed schedule

Address for communication

Dr Tasneem Bano Rehman
Associate Professor
CSED, MJCET
Email: tasneem.bano@mjcollege.ac.in
Mobile: +91-8889810626