Purdue University Post-graduate (PG) Program – Generative AI for Business Transformation
All course fees are in USD)
Course Description
By 2030, Generative Artificial Intelligence (Generative AI) market is anticipated to surge by USD667.9 billion according to Fortune Business Insights, i.e. 24.4% projected annual growth rate (CAGR) from 2023 to 2030 per Statista. Generative AI is also projected to contribute USD4.4 trillion to global economy annually, according to Mckinsey.
Through this Purdue University (established in 1868) Post-graduate Program, you can explore workflow automation, sales and marketing, software engineering, customer service operations, data analytics, and product R&D etc. Delve into the ethics of Generative AI for responsible innovation and maximize your business potential with cutting-edge AI technologies.
Course Delivery
Online
Key Benefits
- Program completion certificate from Purdue University Online & Simplilearn
- Membership of Purdue’s alumni association upon completion
- 50+ hours online classes by industry experts, Purdue faculty and staff
- Understand implications of Generative AI in shaping business strategy
- Exposure to ChatGPT, Gemini, Zapier, CodeWhisperer & other prominent tools
- Learn about applications of Generative AI in various business functions
- AWS authored self-paced learning content
Skills to be Learned
- Explainable AI
- Prompt Engineering
- Conversational AI
- Risk Management with AI
- Product Research and Development
- Data Visualization
- Data Modelling
- Data Analytics
- Predictive Analytics
- Workflow Automation
- Ethics of Generative AI
- Lead Generation
- Code Generation
Some of the Tools Covered
Award
“Certificate in Generative AI for Business Transformation”
Program Outcomes
- Acquire comprehensive knowledge of AI & Generative AI models
- Grasp concept of explainable AI & approaches to ensure transparency in AI systems.
- Learn to apply effective prompt engineering techniques to enhance Generative AI model performance & behavior control.
- Understand ChatGPT mechanics, features, & limitations, & explore applications across industries.
- Gain exposure to fine-tuning techniques for customizing & optimizing ChatGPT models.
- Understand how Generative AI is used to accelerate product R & D
- Learn to use Generative AI to improve efficiency of customer service.
- Address ethical challenges in Generative AI & ChatGPT to ensure responsible data usage & mitigate bias.
- Explore potential of Generative AI to transform industries
- Master prompt engineering, crafting effective prompts across various domains
- Learn to apply AI automation principles using Zapier, creating, debugging, & optimizing AI-powered workflows for efficient data handling.
- Master AI & ML applications in sales & marketing, implementing Generative AI for content optimization, customer segmentation, & personalized campaigns.
- Apply core principles of Generative AI in code completion, translation, security, and data analytics.
- Apply AI models to problem resolution, effectively integrate chatbots, analyze user behavior, develop data privacy & quality strategies.
- Understand ethical dimensions of Generative AI, navigate legal frameworks, analyze societal impacts, & develop strategies for ethical AI implementation.
- Collaborate effectively with stakeholders & regulatory bodies, ensuring compliance with ethical standards & legal regulations in AI implementation.
Assessment
Course-end assessments
Course Completion Criteria
- Complete 85% of course.
- Complete 3 projects & 1 simulation test with minimum score of 60%.
Who Should Enrol
The program is suitable for professionals seeking competitive edge by staying ahead of technology curve, such as:
- Business Leaders
- Consultants
- C-suite Executives
- Technology Leaders
- Senior Managers
- Entrepreneurs
- Functional Heads
Prerequisites
- A minimum of 5 years of work experience
- Fluency in written and spoken English
Course Overview
Lesson 1 – Prompt Engineering Techniques
Lesson 2 – Workflow Automation using Generative AI
Lesson 3 – Generative AI in Sales & Marketing
Lesson 4 – Generative AI in Software Engineering
Lesson 5 – Generative AI in Customer Service Operations
Lesson 6 – Generative AI in Data Analytics
Lesson 7 – Generative AI in Product Research &
Development
Lesson 8 – Ethics of Generative AI
Lesson 9 – Conversion with PPC
Electives
Generative AI for Executives by AWS
Academic Masterclass – Purdue University Online
Access Period of Course
1 year from date of enrolment
*Note:
(1)We reserve the right to revise/change any of the course content &/or instructor at our sole & absolute discretion, without prior notice to learner.
(2) In collaboration with Simplilearn
Course Features
- Students 0 student
- Max Students200
- Duration50 hour
- Skill levelall
- LanguageEnglish
- Re-take course10000
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Lesson 1 - Essentials of Generative AI, Prompt Engineering & ChatGPT
This course provides a comprehensive understanding of Generative AI models focusing on ChatGPT. You will gain an understanding of the essentials of Generative AI and its landscape, prompt engineering, explainable AI, conversational AI, ChatGPT, and other LLMs. Below are the topics covered:
- Generative AI and its Landscape
- Prompt Engineering
- Large Language Models
- Fine-tuning ChatGPT
- Responsible Data Usage & Privacy
- AI Technologies for Innovation
- Conversational AI
- Designing and Generating E ective Prompts
- ChatGPT and its Applications
- Ethical Considerations in Generative AI Models
- The Future of Generative AI
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Lesson 2 – Prompt Engineering Techniques
Embark on a transformative journey into prompt engineering and AI with ChatGPT. From its inception to advanced applications across industries like healthcare, finance, retail, entertainment, travel, education and research, the course explores nuances of crafting e ective prompts, steering outputs, and navigating real-world scenarios. Delve into dos & don'ts, mastering short vs long prompts and hands-on practice sessions. Unleash the power of AI for impactful interactions. Below topics are covered:
- AI Evolution & Natural Language Models
- Introduction to ChatGPT
- ChatGPT Mechanics & Functionality
- GPT 3.5 & 4 Training
- ChatGPT Applications
- OpenAI Playground Usage
- ChatGPT Limitations & Plugins
- Prompt Engineering Fundamentals
- Crafting E ffective Prompts
- Prompt Types & Best Practices
- Generating Synthetic Datasets
- Prompt Engineering in Various Industries
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Lesson 3 – Workflow Automation using Generative AI
Discover AI automation via Zapier: Unlock the realm of workflow automation. From setting up your Zapier account to leveraging Generative AI tools, craft seamless workflows. Explore content personalization, data transformation, and social media automation. Dive into decision-making with AI data, handle large datasets, and optimize for e iciency. Scale your automation, explore industry cases and success stories, and tackle challenges head-on. Topics include:
-
Lesson 4 – Generative AI in Sales and Marketing
Explore the future of marketing with AI: Dive into digital strategies, AI, and the role of Generative AI. Master automated copywriting, AI-powered segmentation, and dynamic campaigns. Learn predictive analytics, AI-driven customer retention, and ethical considerations. Topics covered include:
- Evolution of Digital Strategies
- AI & Machine Learning in Sales & Marketing
- Generative AI in Sales & Marketing
- Automated Copywriting
- AI-generated Content for Ads, Social Media, Products, Blogs
- Graphics & Video Content Generation
- AI-powered Chatbots, Email Outreach, Lead Qualification
- Personalized Campaigns & Dynamic Content
- Sales Trends Forecasting & Pipeline Management
- Customer Retention & Churn Prediction
- Pricing Optimization & Promotions
- Data Privacy & Brand Consistency
- VR, AR, and Influencer Collaborations
- Ethical AI Considerations
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Lesson 5 – Generative AI in Software Engineering
Unlock the power of Generative AI in coding and design. Explore AI's impact, principles, and tools. Dive into code completion, translation, testing, and security. Refactor, optimize and experiment with AI-driven algorithms. Enhance UX, predict behavior, and prioritize requirements. Stay ahead of trends and ethical considerations. We will cover below topics:
- Introduction to Generative AI & Significance
- Core Principles and Technologies
- AI-powered Code Assistance and Generation
- Code Translation and Review
- Test Case Generation and Security
- Documentation and Code Refactoring
- Algorithm Design & Experimentation
- Synthetic Data Generation and Design Concepts
- User Behavior Prediction and UX Enhancement
- Predictive Analysis and Requirement Prioritization
- AI Integration in Development Environments
- Ethical Considerations in AI-driven Development
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Lesson 6 – Generative AI in Customer Service Operations
Empower Customer Services with Generative AI. Explore AI's role, tools and models. Learn automated problem resolution, dynamic responses, and sentiment analysis. Enhance user experience, predict needs, and ensure privacy. Bridge automation with human touch for a seamless service experience and stay updated with the latest AI trends. Topics to cover:
- Overview of Generative AI in Customer Service
- AI’s significance and benefits in customer interactions
- Key models, tools, and their applications
- Automated problem resolution and conversation flow
- Integrating AI-powered support tools and email assistance
- Personalized recommendations and sentiment analysis
- Dynamic response generation and feedback collection
- Ensuring data privacy, security, & quality in AI
- Balancing automation with human touch in service
- Emerging trends and strategies for AI integration and team training
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Lesson 7 - Generative AI in Data Analytics
Unlock data insights with Generative AI. Dive into neural networks, synthetic data, and advanced analytics. Master data cleaning, transformation, and real-time integration. Explore ethica implications, quantum computing, and the future of data generation. Topics covered: covered:
- Introduction to Generative AI in Data Analytics
- Neural Networks, Deep Learning, & Generative Models
- Synthetic Data Generation & Data Quality Assurance
- Interactive Data Visualization & Audience Tailoring
- Automated Cleaning, Transformation, & Integration
- Predictive Modeling & Scenario Analysis
- Resource Constraints, Ethical Considerations, & Model Stability
- Quantum Computing, Transfer Learning, & Multi-modal Analysis
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Lesson 8 - Generative AI in Product Research and Development
Master product development with Generative AI. Explore AI's impact on product lifecycle. Learn key models, ideation, and market analysis. Automate tasks, optimize workflows and personalize interfaces. Learn to predict trends, ensure ethics, and evolve with AR/VR. Build agile AI-ready teams. Topics:
- Introduction to Generative AI in Product Lifecycle
- Key Models, Tools, & Market Analysis Automation
- Ideation, Prototyping, & Design Automation
- Predictive Analytics for Customer Journey & Market Trends
- SWOT Analysis, Risk Assessment, & Roadmap Adjustments
- Real-time Metrics, Feedback Analysis, & Maintenance Prediction
- Ethical Design, Privacy, & AI Evolution
- AR, VR, and Cross-functional Teams
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Lesson 9 - Ethics of Generative AI
With this course, explore the ethical dimensions of Generative AI. Delve into key concerns like bias, privacy, and transparency. Understand legal frameworks and compliance issues. Gain insights into responsible AI usage and societal impacts. Prepare to navigate the ethical landscape of AI. Topics to cover:
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Elective - Generative AI for Executives by AWS
Introduce generative AI to business and technical decision makers; Digital training providing an overview of generative AI; Learn the approach to plan a generative AI project; Build a generative AI-ready organization
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Academic Masterclass - Purdue University Online
Attend an online interactive masterclass and get insights about advancements in technology/ techniques in Generative AI
Instructor
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