
Generative AI Strategy and Execution
Strategize, Build, and Execute with Generative AI
Skills you will gain:
About Program:
This workshop provides a strategic and practical understanding of Generative AI, enabling participants to explore its real-world applications, design effective adoption strategies, and execute AI-driven solutions responsibly across business and professional environments
Aim:
The aim of this workshop is to equip participants with the knowledge and practical direction needed to move from understanding Generative AI concepts to creating effective AI strategies and executing them in professional environments. The workshop focuses on identifying use cases, selecting suitable tools, designing implementation roadmaps, and understanding responsible adoption of Generative AI.
Program Objectives:
- Understand the core concepts and applications of Generative AI.
- Identify practical Generative AI use cases for business, research, and professional workflows.
- Learn how to design a clear Generative AI strategy and implementation roadmap.
- Explore responsible AI practices, including privacy, ethics, accuracy, and risk management
What you will learn?
📅 Day 1: Understanding Generative AI and Strategic Opportunities
- Introduction to Generative AI and its professional applications
- Role of Generative AI in research, academia, and industry
- Identifying high-impact AI use cases for productivity and innovation
- Understanding opportunities, risks, and limitations of Generative AI
🛠️ Hands-on Activity:
Use Google Colab/Jupyter Notebook to analyze sample researcher/publication data and identify possible Generative AI use cases for academic and professional workflows.
📅 Day 2: Designing Generative AI Workflows and Implementation Plans
- Building effective Generative AI workflows for content, research, and decision support
- Prompt engineering for structured and reliable outputs
- Selecting suitable AI tools and platforms for different professional needs
- Creating an AI adoption framework for teams and organizations
🛠️ Hands-on Activity:
Use Google Colab/Jupyter Notebook to design prompt-based workflows for summarizing researcher profiles, extracting key research areas, and generating structured professional insights.
📅 Day 3: Executing Generative AI Strategy Responsibly
- Developing a practical Generative AI execution roadmap
- Measuring success: productivity, quality, efficiency, and innovation impact
- Responsible AI practices: privacy, ethics, accuracy, bias, and compliance
- Final strategy discussion: moving from AI concept to real-world implementation
🛠️ Hands-on Activity:
Use Google Colab/Jupyter Notebook to create a basic Generative AI strategy template, including use case selection, workflow planning, risk assessment, and execution roadmap.
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!

Intended For :
- Researchers and PhD scholars
- Academicians and faculty members
- Industry professionals and managers
- Business, HR, marketing, and operations professionals
- Anyone interested in prompt engineering, AI workflows, and Generative AI strategy
Career Supporting Skills
Program Outcomes
