Purdue University - Generative AI for Business Transformation 

Program Induction

Get started with this Generative AI for Business Transformation Program and explore everything about this unique learning journey covering all the concepts of business transformation with Generative AI

Essentials of Generative AI, Prompt Engineering & ChatGPT

Cutting-edge knowledge: Learn Generative AI, prompt engineering, and ChatGPT

Hands-on skills: Acquire a real-world understanding of various business applications

Effective Gen AI utilization: Master the art of applying these technologies efficiently

Master  prompt engineering: Grasp its significance in producing tailored outputs

Workow Automation using Generative AI

Learn about the fundamentals of workflow automation 

Understand how Zapier is used in AI automation

Create a Zapier account and connect it with Generative AI tools

Learn various use cases of Zapier automation and Generative AI

Master the art of monitoring and optimizing workflow automation

Learn industry specific use-cases and challenges faced 

Generative AI in Sales & Marketing

Role of AI and machine learning in sales and marketing

Generative AI  for automated content creation 

Creation of  personalized marketing campaigns using AI-powered algorithms 

Fundamentals of AI-powered sales pipeline management and prize optimization

AI-powered chatbots and virtual sales assistants 

Use AI to predict customer lifetime value

Challenges in applying Generative AI and related data privacy concerns

Ethical concerns surrounding AI in sales and marketing

Generative AI in Software Engineering

AI-powered code generation tools to improve the team’s efficiency

Use cases of AI in code completion, code translation, code review and testing

AI-powered documentation generation tools

Generative AI to refactor the existing code and optimize the performance

Generative AI in software research and development

Fundamentals of AI-powered UI/UX Design

AI-enhanced prototyping tools

Ethical considerations for using Generative AI in coding and software engineering

Generative AI in Customer Service Operations

Application of Generative AI in customer service operations

Key models and tools used in customer service

Usage of AI-powered chatbots and virtual assistants

Personalize customer interactions using behavioral analysis

Streamline customer feedback with Generative AI

Applications of Generative AI in call center automation and optimization

Data privacy and security issues

Strategies for seamless AI integration

Generative AI in Data Analytics

Fundamentals of data augmentation with Generative AI

Generative AI for data visualization

Data exploration and discovery using Generative AI

Optimize ETL processes and data pipelines with AI

Build more accurate and predictive data models using Generative AI

Challenges in integrating Generative AI in data projects

Future of ethical data generation

Generative AI in Product Research and Development

Role of AI in product lifecycle management

Market research and customer journey mapping

Auto-generate design variants

Optimize product development workflows

Enhance user experience (UX) with Generative techniques

Predict market trends and shifts using Generative AI

Monitor real-time product performance metrics

Understand the challenges and considerations in AI integration

Delve into the evolving Generative AI technologies

Ethics of Generative AI

Importance of ethics and compliance in Generative AI

Various data privacy laws like GDPR and CCPA

Responsible AI creation and deployment

Blackbox AI and explainable AI

Regulatory landscape and compliance related to AI

Best practices in ethical AI deployment

Role of business leaders in shaping ethics in the AI domain