The Next Gen Employability Program, led by Edunet Foundation in partnership with EY Global Delivery Services, collaborates with AICTE Training and Learning Academy (ATAL) to deliver faculty training across the country. These Faculty Development Programs (FDPs) are conducted by subject matter experts, helping educators strengthen their knowledge and teaching practices. In addition, faculty also get the opportunity to interact with EY professionals and leaders through a special session, where they share real-world experiences and industry perspectives.

STEM - For Technical Faculties

Course Offered

AI Tools for Productivity

Mode of Training: Virtual Training Program
Duration: 20 hours (Over 5 days)

Eligibility

Faculty members from Engineering and Science colleges, specifically those affiliated with Computer Science and related disciplines.

Access to computer/laptop with stable internet connection.

Should not commit to other tasks during the training program.

Curriculum Outline

Track Name: AI Tools for Productivity
Total Hours: 20 Hours
Module Name Duration
Roboflow – Easy Computer Vision 4
Claude AI – Smart AI Assistant 4
GPT Tools (ChatGPT or similar) – Creative GenAI 3
Agentic AI – Smart Automation 4
Web Dev with Claude AI – Quick Websites 5

Non STEM - For Non Technical Faculties

Course Offered

AI Tools for Education

Mode of Training: Virtual Training Program
Duration: 20 hours (Over 5 days)

Eligibility

Faculty members from any college, specifically those who are not affiliated with Computer Science and related disciplines.

Access to computer/laptop with stable internet connection.

Should not commit to other tasks during the training program.

Curriculum Outline

Track Name: AI Tools for Education
Total Hours: 20 Hours
Module Name Duration
Foundations of AI and Generative Tools for Teaching 4
Prompt Engineering and AI-Assisted Content Creation 4
AI-Enhanced Research and Knowledge Management for Educators 3
Data Visualization using Power BI 4
Responsible and Ethical AI in Education 5

Certification Eligibility Criteria

Minimum 60% attendance and Minimum 60% scores in the assessment.