AI and ML foundations
Clear understanding of AI concepts for teaching and project guidance.
Professional Program
Faculty Development Programs
Support for educators as technology changes quickly. Faculty development programs help teachers and faculty members understand, teach and use AI, data science, research tools and emerging technologies.
Program snapshot
- Best forTeachers, faculty and researchers
- Technology areasArtificial Intelligence, Machine Learning, Generative AI and more
- InstituteAIIT Roorkee, Roorkee
- Enquiries+91 7579 1857 75
Quick answer
Faculty Development Programs (FDPs) at AIIT Roorkee are structured programs for teachers and faculty members covering topics such as AI and machine learning fundamentals, generative AI in teaching and research, data science tools, Python and emerging technologies, with hands-on practice and discussion.
Educators are being asked to teach new technologies, guide student projects in AI and data, and decide how generative AI should be used in classrooms and research. Faculty development programs provide focused support for these needs.
FDPs combine concept sessions with hands-on practice and discussion on teaching and research applications. Programs can be arranged for departments, colleges and schools, with topics adapted to the participants' subjects and experience.
Generative AI in education
Practical and responsible use of AI tools in teaching and assessment design.
Research tools
Python, data analysis and AI tools for academic research.
Hands-on labs
Faculty practise with the tools they will teach or use.
Curriculum support
Ideas for integrating modern technology topics into courses.
Peer discussion
Share approaches with educators from different disciplines.
FDP topics
Faculty Development Topics
Topics can be combined and adapted to the participants' disciplines and experience.
- AI and Machine Learning Fundamentals
- Generative AI for Teaching and Research
- Python for Educators
- Data Science and Analytics Tools
- Deep Learning Concepts
- Research Methodology with AI Tools
- Cybersecurity Awareness
- IoT and Emerging Technologies
How it works
How Faculty Development Programs Works
- 01
Requirement discussion
Share the department, subjects and goals for the FDP.
- 02
Program design
Agree on topics, depth, duration and hands-on components.
- 03
Delivery
Conduct sessions and labs for participants.
- 04
Application
Faculty apply tools to their teaching or research context.
- 05
Feedback
Review outcomes and suggest follow-up learning.
Technology areas
Popular Tracks
Tracks and projects are matched to your level and goals. Other areas can be discussed with the team.
-
Beginner to Intermediate
Artificial Intelligence
A structured introduction to AI: search, reasoning, machine learning, neural networks, NLP, computer vision, generative AI, agents and AI ethics.
Data & AI -
Intermediate
Machine Learning
Understand and build machine learning models: regression, classification, trees, ensembles, clustering, tuning, pipelines and model deployment basics.
Data & AI -
Beginner to Intermediate
Generative AI
Understand and apply generative AI: how LLMs and image models work, prompting, retrieval, APIs, evaluation, safety and building useful GenAI applications.
Data & AI -
Intermediate
Data Science
Learn the complete data science workflow: Python, statistics, data wrangling, visualisation, machine learning models, evaluation and communication.
Data & AI -
Beginner to Intermediate
Python Training
Learn Python from first principles to files, OOP, APIs and data libraries, the language of choice for automation, data science and AI.
Software & Development -
Advanced
Deep Learning
Learn neural networks in depth with PyTorch: training, CNNs for vision, sequence models, transformers, transfer learning and practical GPU workflows.
Data & AI
Who it is for
Who Should Join
College and university faculty
Faculty members across engineering, science, management and humanities.
School teachers
Teachers introducing coding and AI awareness.
Researchers
Research scholars and faculty using data and AI in research.
Institutions
Colleges and schools planning technology capacity building.
Outcomes
What Participants Take Away
- Structured sessions on chosen topics
- Hands-on practice with relevant tools
- Resources for teaching and research use
- Guidance on continued development
Programs build skills and practical experience. They do not guarantee employment, placement or internships. See placement assistance for career preparation support.
Practical Engineering Environment
Faculty Development Programs Lab Console
FAQs
Faculty Development Programs FAQs
Can FDPs be organised for our institution?
Yes. Contact the team with your institution's requirements, participant profile and preferred topics.
Do faculty from non computer science departments benefit?
Yes. Programs on generative AI in teaching, data analysis and research tools are useful across disciplines.
Are FDPs hands-on?
FDPs include hands-on components so participants practise with the tools discussed, alongside concept sessions.
Does AIIT Roorkee issue FDP certificates?
Documentation depends on the program arrangement. Discuss your institution's requirements with the team in advance.
Enquire
Enquire About Faculty Development Programs
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