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International Faculty Development Program

Instructor: Arun Kumar A R Instructor - Brisa Technologies

Centre for Development of Advanced Computing (C-DAC)

Course Fees: ₹5,999/-

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Starting On:
Dec. 6, 2025

Format:
Video Lessons + Demo
Language:
English
Duration:
12 Hours
Certificate:
Digital Copy
Audience:
Faculties and Researchers

Course Overview

The International Faculty Development Program 2025 is a one-week remote training initiative focusing on Artificial Intelligence, Machine Learning, and Generative AI. The program welcomes faculty and researchers from all disciplines, including non-IT backgrounds. Sessions cover AI-assisted tools like Cursor AI, Windsurf, and GitHub Copilot, technical writing with advanced prompt engineering, coding automation, and research paper automation. Expert speakers from academia and industry lead sessions on practical AI applications, such as automating literature reviews, data preprocessing, and code-to-paper workflows. Participants gain hands-on exposure to cutting-edge AI tools and receive a certificate to enhance their academic profiles and professional development.

What You'll Learn

Participants will learn how to leverage the latest AI tools such as Cursor AI and Windsurf for development, research, and academic writing. They will gain practical skills in advanced prompt engineering, coding automation, technical writing, and research paper generation using generative AI. The program also covers AI-assisted literature reviews, data processing and visualization, multi-agent architectures, and code-to-paper automation. Attendees will understand how to integrate AI and Machine Learning into cross-disciplinary projects and enhance their professional profiles. On completion, they receive certification that boosts their career growth and professional credibility.

Why Enroll in this Course?

You should enroll to gain hands-on experience with advanced AI tools and techniques that make academic and research work more efficient and innovative. The program strengthens your professional profile and equips you with cutting-edge skills relevant to today’s technology landscape. Successful completion earns you a recognized certificate that enhances career growth and credibility.

Course Syllabus

Overview of AI-Assisted IDEs 30 minutes
Role of AI in Research and Coding Automation 30 minutes
Installing & Setting Up Tools 30 minutes
Hands-on Getting Started 30 minutes
Introduction to the Cursor AI environment 30 minutes
Navigating the Cursor AI workspace 30 minutes
Understanding the sidebar, editor, and command panel 30 minutes
Customizing Cursor settings and themes 30 minutes
Principles of effective technical prompt engineering 30 minutes
Structuring prompts for accuracy and clarity 20 minutes
Creating multi-step prompts for complex writing tasks 20 minutes
Generating high-quality technical documentation 20 minutes
Converting raw text into structured academic content 30 minutes
Overview of Windsurf IDE and its AI-powered environment 2 hours
Understanding the Windsurf interface and workspace layout 2 hours
Real-time team collaboration features 2 hours
Shared context and shared editing capabilities 2 hours
Using AI agents for code suggestions and project navigation 2 hours
Using AI to collect and summarize research papers 2 hours
Extracting key insights, gaps, and themes automatically 2 hours
Generating structured literature review sections 2 hours
Summarizing long PDFs and academic articles 2 hours
Creating citation-ready summaries 2 hours
Using Cursor AI and Windsurf together for research workflows 2 hours
Structuring a research paper with AI (Abstract → Conclusion) 2 hours
Generating section-wise draft content using AI prompts 2 hours
Integrating code snippets, tables, and figures into the paper 2 hours
Prompt Engineering 1 hours
Using Windsurf and AI agents for code suggestions and project navigation 1 hours
Summarizing long PDFs and academic articles using Prompt Engineering 1 hours
Integrating code snippets, tables, and figures into the paper in Windsurf 1 hours
Extracting key insights, gaps, and themes automatically using AI agent 1 hours
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Instructor Profile

Arun Kumar A R
Arun Kumar A R

AI & ML | Data Science & Analytics | AI-ML Model Building | Generative AI | Corporate Trainer

 

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Testimonials

Real stories from developers who upskilled, built projects, and advanced their careers with
GenAInstein Student Internship Program.

The course helped me truly understand how to work with LLMs and build GenAI apps from scratch. The hands-on projects and mentorship gave me the confidence to apply these skills at work.
RM
Rahul M.
Software Engineer
As a student, I was overwhelmed by all the AI hype. GenAInstein's course broke it down clearly and helped me build actual working apps. I even added one to my portfolio!
SK
Sneha K.
Final Year Student
What stood out was how practical everything was. I wasn't just learning theory—I was building things, using RAG pipelines, and even integrating APIs. This course is gold for developers.
AS
Arjun S.
Developer
The curriculum was very well-structured, and the mentors were incredibly helpful. It's rare to find a course that balances cutting-edge content with hands-on coding so well.
PD
Priya D.
Tech Lead

Certification Details

Free Access: NO [Download Brochure for further details]
Certification Exam: [Download Brochure]
Certification Criteria: Minimum 75% score required
Certificate Type: Digital e-certificate (no hard copies)
Exam Date: To be announced after course completion

Certificate Sample