• Application closes on

    8 Sep, 2025
  • Program Duration

    12 weeks (5-6hrs / Week)
  • Learning Format

    Live, Online, Interactive

Why Join this Program

  • icons
    Elite Certificate

    Earn a program completion certificate from Purdue University Online and Simplilearn

    Earn a program completion certificate from Purdue University Online and Simplilearn

  • icons
    Purdue Edge

    Gain access to Purdue’s alumni association membership on program completion

  • icons
    Immense Domain Exposure

    Stay ahead by mastering AI-driven strategies in workflow automation

  • icons
    Business Use Cases

    Explore GenAI in sales, marketing, customer service, software development & analytics

Corporate Training

Enroll your employees into this program, NOW!

Generative AI For Business Overview

This business transformation course with Purdue University Online will help you harness generative AI for business success. Learn through live online sessions, hands-on tool training, and real-world case studies. Master AI-driven strategies in workflow automation, decision-making, innovation, ethics, and AI economics to lead transformative change.

Key Features

  • Learn how to design and implement AI-powered strategies that drive innovation and competitive advantage
  • Gain the skills to leverage AI for personalized sales, targeted marketing, and enhanced customer engagement
  • Apply advanced AI technologies like OpenAI, ChatGPT, and Microsoft Copilot in real-world scenarios
  • Discover how generative AI automates workflows, boosts efficiency, and optimizes decision-making
  • Understand how to integrate and scale AI solutions across departments to drive business transformation
  • Engage with expert instructors and Purdue faculty and staff during live sessions and masterclasses
  • Develop real-world skills through industry-relevant case studies and hands-on exposure to 16+ modern AI tools
  • Understand ethical AI deployment, data governance, and strategies to overcome integration challenges in dynamic environments
  • Earn a program completion certificate from Purdue University Online and Simplilearn and get membership in Purdue’s Alumni Association

Business Transformation Course Advantage

Gain a competitive edge with this transformative program. Master cutting-edge AI strategies, leverage modern tools, and apply real-world solutions to automate workflows, enhance efficiency, and drive innovation across business functions.

  • Program Certificate

    Partnering with Purdue University Online

    • Receive a joint Purdue-Simplilearn program certificate
    • Live masterclasses delivered by Purdue faculty and staff
    • Get exclusive access to Purdue’s Alumni Association
  • Partnering with Microsoft

    Partnering with Microsoft

    • Course completion certificate hosted on the Microsoft Learn portal
    • Acquire an official Microsoft learning path completion transcript
    • Learn to drive Copilot adoption with a user enablement framework

Generative AI For Business Details

This program equips professionals to navigate AI-driven business transformation. Understand GenAI use cases in software engineering, sales, marketing, customer service, product research, and more. Gain hands-on experience with advanced AI tools to drive efficiency and innovation.

Learning Path

  • Start your learning journey with a comprehensive introduction to the program. This module provides an overview of the curriculum, learning objectives, and key outcomes while exploring how AI and generative AI transform industries.

    • Fundamentals of AI, ML and generative AI
    • AI vs. generative AI: Key differences and capabilities
    • Overview of supervised, unsupervised, and reinforcement learning
    • Neural networks, deep learning, and large language models (LLMs)
    • How LLMs gave rise to intelligent Chatbots
    • Temperature settings and sampling techniques for better AI outputs
    • Generative AI infrastructure: key components and business impact
    • Foundation models (GPT-4, MidJourney, Stable Diffusion) and applications
    • Open-source vs. proprietary models: Trade-offs, costs, and flexibility
    • LLMOps: Monitoring, security, and ethical safeguards for AI deployment
    • AI development tools: LangChain, MindsDB, vector databases, and low-code platforms
    • Fine-tuning vs. RAGs: Optimization strategies and cost-performance balance
    • Cloud and compute resources: AWS, Google Cloud, Azure, and scaling AI models
    • Fundamentals of workflow automation and key benefits
    • Zapier: Workflow automation tools, triggers, and Zaps
    • Integrating OpenAI API with Zapier for AI-powered automation
    • Building and debugging automated workflows with AI-generated content
    • Use cases: Content generation, email automation, and social media workflows
    • Advanced automation: Multistep Zaps, conditional logic, and integrations
    • Monitoring, optimization, and scaling AI-powered workflows
    • The evolving role of AI and ML in sales and marketing strategies
    • Lead generation, customer segmentation, and personalized campaigns using AI
    • Predictive analytics for sales forecasting, pipeline management, and customer retention
    • Automating content creation: AI-generated text, images, and videos for marketing
    • Enhancing customer interactions with AI-powered chatbots and virtual assistants
    • Real-world case studies: hyper-personalized travel search and smart sales assistants
    • Addressing challenges: Data privacy, brand consistency, and technical implementation hurdles
    • Impact of generative AI on customer service operations
    • Personalizing interactions with AI chatbots and virtual assistants
    • Automating problem resolution and dynamic responses
    • AI-powered sentiment analysis and customer journey insights
    • Case studies: AI virtual assistants and outage management
    • Practical considerations: Data privacy, quality, and human touch balance
       
    • The role of AI in modern software development and design
    • AI-powered code generation, including completion and translation
    • Automating code review, test case generation, and vulnerability identification
    • Generating and customizing software documentation with AI
    • Refactoring and optimizing code for performance and readability
    • Enhancing UI/UX design with AI, focusing on user behavior and accessibility
    • Collaborative tools: AI integration in development environments and prototyping
    • Future trends in generative AI and no-code tools for software engineering
       
    • Introduction to generative AI in data analytics
    • Exploring and discovering insights: Hypothesis generation and trend identification
    • Detecting anomalies and outliers and creating interactive data visualizations
    • Building predictive models and generating forecasts with AI
    • Simulating scenarios to assess risks and opportunities in data modeling
    • Real-world use cases: Data analysis optimization and efficiency
    • Challenges: Computational constraints, synthetic data ethics, and model stability
       
    • AI's impact on the product lifecycle and management
    • Automated market research and ideation: Validating product ideas with AI
    • Customer journey mapping using predictive analytics
    • Auto-generating design variants and virtual prototyping
    • AI-assisted SWOT analysis, risk assessment, and continuous design improvement
    • Enhancing UX with adaptive features and predictive behavior modeling
    • Data-driven product management: Real-time performance metrics and feature prioritization
    • Ethical considerations, data privacy, and aligning AI with brand strategy
       
    • Initial AI costs: Data, model development, and cloud setup
    • Ongoing costs: Compute resources, maintenance, and personnel
    • Unit economics: AI vs. manual cost comparison and scalability
    • AI ROI: Calculating investment, efficiency, and trade-offs
    • Ethical concerns: Bias, fairness, privacy, and accountability
    • Data privacy: GDPR, CCPA, and compliance challenges
    • Future directions: Collaboration on AI ethics with governments
    • Overview, key features, and getting started with Copilot
    • Enhancing sales with personalized proposals
    • Optimizing IT operations with troubleshooting guides
    • Powering marketing insights and campaign reports
    • Improving financial planning and budget summaries
    • Streamlining HR with onboarding checklists
    • Optimizing operations with inventory dashboards
    • Best practices and key takeaways for Copilot integration
Electives:
  • Attend an exclusive online masterclass led by Purdue faculty and staff to gain deep insights into the transformative power of generative AI for business. Explore cutting-edge advancements, real-world business applications, and strategic frameworks that make AI adoption necessary for organizations. Understand how AI is reshaping industries, optimizing decision-making, and driving innovation, equipping you with the knowledge to lead AI-driven business transformation.

  • This Microsoft course equips participants with the skills to drive user enablement and AI adoption within their organization. It explores the people-first strategy and the Microsoft 365 Copilot user enablement framework, structured around four essential phases: Get Ready (building a strong foundation), Onboard & Engage (empowering employees), Deliver Impact (maximizing value), and Extend & Optimize (expanding capabilities).

13+ Skills Covered

  • Scaling AI Initiatives
  • Conversational AI
  • AI Risk Assessment
  • Predictive Analytics
  • Workflow Automation
  • Ethical AI and Compliance
  • Chatbot Implementation
  • AI Economics
  • ROI Analysis
  • Model Evaluation and Optimization
  • LLMOps and AI Deployment
  • Sentiment Analysis
  • Scenario Simulation

13+ Tools Covered

ChatGPTMicrosoftCopilot22042025Hugging FaceZapierOpen AIInvideo.aiFigmaMIROMOSTLYAIMicrosoft PowerAppsJulius.aiVisual Studio Code (VS Code)Google Cloud Platform

Industry Projects

  • Project 1

    Leveraging GenAI for Business Insights and DecisionMaking

    Showcase GenAI's power by analyzing data with ChatGPT, answering business questions, and gaining insights into setting up and managing GenAI tech stack layers.

  • Project 2

    Automating Blog Creation and Email Notifications Using Zapier

    Create an automated workflow for blog generation and stakeholder emails using Zapier, enhancing your ability to integrate tools for seamless content and communication.

  • Project 3

    Managing Brand Consistency with Generative AI

    Develop a strategy to ensure brand consistency with GenAI, defining voice, tone, and style, creating AI-driven content, and setting a review process for alignment.

  • Project 4

    Creating an AI Driven Content Campaign

    Create an AI-powered social media campaign using ChatGPT and DALL-E to promote an eco-friendly product, run A/B tests, and gain insights for content optimization.

  • Project 5

    Implementing and Managing a GenAI Powered Customer Support Agent

    Build, test, and optimize a GenAI-powered support agent with Eleven Labs, ensuring compliance, refining performance, and enhancing reliability through detailed testing.

  • Project 6

    Integrating LeadSuccessBot with FairJob Platform

    Define and deploy LeadSuccessBot to enhance user engagement on job-matching platforms, showcasing the impact of AI-powered chatbots in business environments.

  • Project 7

    Enhancing Data Analytics Processes with Generative AI

    Design a strategy to integrate GenAI into data analytics, enhancing efficiency, accuracy, and decision-making while exploring ChatGPT’s applications and best practices.

  • Project 8

    Driving Business Innovation with Generative AI in Data Analytics

    Tackle a real business scenario with GenAI, optimizing data workflows, uncovering insights, and crafting decision-ready solutions while enhancing creativity and problem-solving.

  • Project 9

    Managing the Fit Smart Product Lifecycle with ChatGPT

    Manage Fit Smart’s lifecycle with ChatGPT, streamlining research, development, launch, and retirement while enhancing efficiency, generating insights, and solving challenges.

  • Project 10

    Automating Feature Scaling Decisions with Generative AI

    Automate feature scaling with GenAI tools like ChatGPT and Copilot, analyzing engagement metrics and regional trends to overcome delays and inefficiencies in product growth.

  • Project 11

    Enhancing Product Launches with AIPowered Microsoft Edge Copilot

    Use Copilot to plan and execute the e-bike launch, generating presentation-ready documents to streamline processes and guide operational teams effectively.

  • Project 12

    ChatGPTBased Storytelling

    Create an interactive storytelling adventure using ChatGPT where you can create unique and engaging narratives without requiring any coding or additional platforms.

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

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An Immersive Learning Experience

Peer to Peer engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Mentoring session(s)

Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Peer to Peer engagement
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Flexi Learn
Mentoring session(s)
Learning Support

Program Advisors and Trainers

Program Advisors

  • Ricardo Calix

    Ricardo Calix

    Associate Professor, Computer IT and Graphics

    Ricardo Calix is an Associate Professor of Computer Information Technology and Graphics at Purdue Northwest. He has a Ph.D. in Engineering Science from Louisiana State University in 2011. His research areas include ML, biometrics, intrusion detection systems, and NLP.

  • Max Goff

    Max Goff

    GenAI Consultant

    Max is a seasoned data scientist and big data engineer with 30+  years of experience in ML, big data, and computer programming. Known for his expertise in GenAI, NLP, and process improvement, Max has consistently driven innovation and growth across organizations.

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Program Trainers

  • Ellen Blackwell

    Ellen Blackwell

    27+ years of experience

    AI Strategy Lead

  • Roman Nemet

    Roman Nemet

    29+ years of experience

    Director of Artificial Intelligence

  • Warren Wiens

    Warren Wiens

    16+ years of experience

    Senior Director, Account & Strategy

  • Alexander Schneider

    Alexander Schneider

    15+ years of experience

    AI Workflow Transformation Consultant

  • Nagendra Nyamgondalu

    Nagendra Nyamgondalu

    30+ years of experience

    Co-founder & Principal Advisor

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Industry Trends

GenAI is at the cutting edge of tech innovation, driving transformative trends across industries. Advanced language models like GPT-4 enhance natural language generation, creating more natural and coherent content.

Job Icon$667.9 bn

Expected Generative AI market size by 2030

Source: Fortune Business
Job Icon24.4%

The global Generative AI market's projected CAGR from 2023-2030

Source: Statista
Job Icon$4.4 Tn

Expected value added by Generative AI to the global economy annually

Source: Mckinsey

Batch Profile

The GenAI for Business Transformation program caters to working professionals across different industries. Learner diversity adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%
    Companies
    Netflix
    PricewaterhouseCoopers
    Tata Consultancy Services
    Bosch
    Ernst & Young
    Accenture
    Amazon
    Nvidia
    Godrej & Boyce
    Infosys
    LinkedIn
    KPMG

Testimonial

I took up the Gen AI certification to stay competitive and adapt to the rapidly evolving AI-driven world. My learning experience was highly flexible and engaging, with all my queries addressed comprehensively. Post-certification, I’ve enhanced my productivity, applying AI beyond just marketing, streamlining my tasks efficiently.

Yash Raj Awasthi

Digital Marketing Freelancer

What other learners are saying

Admission Details

Application Process

The admission process is straightforward and ensures a seamless enrollment experience.

STEP 1

Submit Application

Complete the application by providing the required details about yourself

STEP 2

Reserve Your Seat

Secure your seat by completing the program fee payment

STEP 3

Start Learning

Begin your learning journey on the designated cohort start date

Eligibility Criteria

For admission into the GenAI for Business Transformation program, candidates should have:

A minimum of 5 years of work experience (preferred)
An understanding of AI’s growing influence
An eagerness to leverage GenAI to solve real business problems

Admission Fee & Financing

The admission fee for this program is $2,499.

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Total Program Fee

$2,499

Pay In Installments, as low as

$250/month

You can pay monthly installments for Post Graduate Programs using Splitit or Klarna payment option with low APR and no hidden fees.

Apply Now

Program Benefits

  • Certificate from Purdue University Online and Simplilearn
  • Live online masterclasses by Purdue faculty and staff
  • Access to Purdue’s Alumni Association membership
  • 55+ hours of curriculum delivered in live online classes
  • Exposure to ChatGPT, Hugging Face, Copilot, Zapier, and more

Program Cohorts

Next Cohort

Got questions regarding upcoming cohort dates?

Generative AI For Business FAQs

  • What is the Generative AI for Business Transformation Course?

    This is a comprehensive live online business transformation program from Purdue University Online, designed to equip business transformation leaders and professionals with the skills to integrate Generative AI into their operations. It provides a practical, business-focused approach to AI adoption, focusing on enhancing efficiency, driving digital innovation, and achieving a competitive advantage through expert-led instruction and hands-on learning.

    • Core Objective: The business transformation program teaches you to implement AI-driven solutions across key business functions, including sales, marketing, engineering, advanced analytics, customer service, product R&D, and operations.

    • Program Structure: It is structured as a 12-week course, requiring approximately 5-6 hours of engagement per week. The learning model combines live online sessions, over 63 guided practices and demos, and real-world case studies.

    • Collaborative Delivery: The program is delivered by Simplilearn in collaboration with Purdue University Online and features an exclusive advantage through its partnership with Microsoft Azure.

    • Learning Outcomes: Participants learn to design and implement AI-powered strategies, automate workflows, leverage AI for personalized customer engagement, and understand the ethical and economic aspects of AI deployment.

  • What is the Purdue and Simplilearn partnership about?

    Purdue University Online has partnered with Simplilearn to offer online professional programs that blend academic expertise with Simplilearn’s immersive, hands-on learning model. The programs are delivered by industry experts to ensure learners gain practical, job-ready skills aligned with current market needs.

  • What does a Generative AI engineer do?

    Generative AI engineers take the lead in developing innovative AI solutions to drive business transformation. As key contributors to any business transformation training initiative, they design and build algorithms for generative models using deep learning techniques, optimizing and fine-tuning them for efficiency and performance. These professionals often emerge from a solid business transformation course, equipped to collaborate with cross-functional teams, integrate AI into existing business workflows, stay up to date with the latest generative AI tools and techniques, and effectively communicate technical concepts to non-technical stakeholders—and much more.

  • How qualified are the trainers in this generative AI for business transformation program?

    Industry experts and experienced professionals from the data and AI field lead this business transformation program, bringing real-world insights and practical knowledge to the classroom. Focused on generative AI for business, these instructors undergo a rigorous selection process that includes profile assessment, a technical evaluation, and a training presentation before they are qualified to train with us.
    Masterclasses in this business transformation course are delivered by esteemed faculty and staff from Purdue University Online, while experts at AWS curate the self-paced online learning content.

  • What are the benefits of enrolling in this program?

    You can get the following benefits by enrolling in this program:

    • Program completion certificate from Purdue University Online and Simplilearn
    • Access to Purdue’s Alumni Association membership on program completion
    • Understand the implications of Generative AI in shaping business strategy 
    • Learn about applications of Generative AI in various business use cases
    • AWS authored Self-paced Learning Content

  • How do I enroll in the generative AI for business transformation program?

    The application process for this business transformation program focused on generative AI for business consists of three simple steps:

    1. Submit an online application with some basic information about yourself and your motivation for joining the program.

    2. An admissions panel will review your application and shortlist suitable candidates.

    3. If selected, you will be notified by email.

    After paying the admission fee, you’ll be able to start this business transformation course within one to two weeks and begin your journey.

  • What salary benefits can I expect after completing this business transformation program?

    While this program is for strategic upskilling rather than a direct job placement program, mastering Generative AI for business transformation can lead to significant salary benefits. Professionals who can architect and lead AI initiatives are in high demand and command premium compensation. The expected salary ranges reflect the high value placed on these advanced skills in the market.

    • United States Market: In the United States, AI engineers and strategists who can drive business transformation can expect to earn between $122,000 annually on the lower end and up to $192,000 annually on the higher end.

    • Indian Market: In India, professionals with these skills can expect an annual salary ranging from ₹6 Lakhs on the low end to ₹14 Lakhs on the high end, with significant potential for professional growth as they gain experience.

    • Basis for Higher Compensation: These salary figures reflect the ability of professionals with these skills to drive substantial business impact, such as increasing operational efficiency, creating new revenue streams, and enhancing customer engagement, all of which are highly valued by employers.

  • What are the eligibility requirements for the Generative AI for Business Transformation Program?

    You must meet the following requirements to join the online Generative AI for Business Transformation Program:

    • A minimum of 5 years of work experience
    • Fluency in written and spoken English

  • Is this Generative AI for business transformation program 100% online? Do I need to attend any classes in person?

    This Generative AI for Business course is delivered entirely online, so there’s no need to attend a physical classroom. You can access lectures, readings, and assignments anytime, anywhere—via the web or your mobile device—making it ideal for working professionals and busy learners.

  • What is covered under the 24/7 support promise?

    Our committed team is here to assist you through email, chat, calls, and community forums. On-demand support is available to guide you through the Generative AI for Business Transofrmation program. Once you finish the program you will gain lifelong access to our community forum.

  • What is the refund policy for this generative AI for business program?

    Please read our refund policy for information about cancellations and refunds regarding our Generative AI for business program. Alternatively, you can contact us by email, telephone, or live chat if you need any assistance.

  • Are Simplilearn’s courses eligible for reimbursement by my employer?

    Yes, Simplilearn’s Generative AI for Business Transformation, offered in collaboration with Purdue, is eligible for employer reimbursement. We'd recommend confirming the specific terms of educational benefits or tuition assistance programs with your HR department or employer. Purdue also accepts tuition vouchers, which can streamline reimbursement.

    To claim your reimbursement, Simplilearn offers completion certificates, detailed receipts, and course breakdowns, which can be submitted to your employer or HR department.

  • How can business leaders use Generative AI?

    Business leaders can use generative AI in various domains, such as sales, marketing, coding, customer operations, etc., to improve efficiency. This business transformation course helps leaders understand the practical applications of Generative AI in various domains.

  • Does Simplilearn have corporate training solutions?

    Simplilearn for Business works with Fortune 500 and mid-sized companies to provide their workforce with digital skills solutions for talent development. We offer diverse corporate training solutions, from short skill-based certification training to role-based learning paths. We also offer Simplilearn Learning Hub+ - a learning library with unlimited live and interactive solutions for the entire organization. Our curriculum consultants work with each client to select and deploy the learning solutions that best meet their teams’ needs and objectives.

  • How can Generative AI be leveraged in an organization's digital transformation strategy?

    Generative AI can significantly enhance an organization’s business transformation by introducing advanced generative AI models and systems that streamline various business functions. By integrating generative AI for business into the overall transformation strategy, companies can develop new business models, optimize supply chain management, and drive successful outcomes. These generative AI solutions foster innovation, enable more efficient operations, and play a critical role in the success of the organization’s digital and business transformation efforts.

  • Will missing a live class affect my ability to complete the course?

    No, missing a live class will not affect your ability to complete the course. With our 'flexi-learn' feature, you can watch the recorded session of any missed class at your convenience. This allows you to stay up-to-date with the course content and meet the necessary requirements to progress and earn your certificate. Simply visit the Simplilearn learning platform, select the missed class, and watch the recording to have your attendance marked.

  • Are there any other online courses Simplilearn offers under AI & Machine Learning?

    Absolutely! Simplilearn offers plenty of options to help you upskill in AI & Machine Learning. You can take advanced certification training courses or niche courses to sharpen specific skills. Whether you want to master new tools or stay ahead with the latest trends, there's something for everyone. These courses are designed to elevate your knowledge and keep you competitive in the AI & Machine Learning field.

    Similar programs that we offer under AI & Machine Learning

  • Can I change my cohort after enrolling in the program?

    Yes. You are eligible for one complimentary cohort change within the first 60 days of your enrollment. If you cannot continue in your current cohort and, have already used your complimentary change, you may request an additional cohort transfer by paying the applicable fee. For details on the process and support with your request, please contact our support team.

  • Can I get an extension if I need more time to complete the program?

    Yes. If your program access has expired and you still have pending assignments or projects, you can request either an extension of 30 days OR 3 months by paying a nominal fee. During this extension, you can access recorded sessions from the current cohort and complete your remaining learning requirements.

  • What is the Purdue and Simplilearn partnership about?

    Purdue University Online has partnered with Simplilearn to offer online professional programs that blend academic expertise with Simplilearn’s immersive, hands-on learning model. The programs are delivered by industry experts to ensure learners gain practical, job-ready skills aligned with current market needs.

  • What will I earn after completing the program?

    Upon successful completion, you will receive a program completion certificate from Purdue University Online and Simplilearn. You will also receive 12 months of access to Purdue’s Alumni Association membership, which can be renewed annually thereafter for a nominal fee payable to Purdue University Online.

  • Who is the ideal candidate for this business transformation program?

    This program is designed for professionals who aim to harness the strategic power of Generative AI to drive business innovation, efficiency, and digital transformation. It is best suited for experienced individuals looking to lead AI initiatives within their organizations, rather than for entry-level technical practitioners. The curriculum is tailored for those with a foundational understanding of AI's growing influence.

    • Target Professional Roles: The course is explicitly designed for Business Leaders, C-suite Executives, Senior Managers, Functional Heads, Technology Leaders, Consultants, and Entrepreneurs.

    • Experience Prerequisite: While not mandatory, a minimum of 5 years of professional work experience is preferred to ensure participants can contextualize the strategic applications of AI discussed in the program.

    • Mindset Requirement: Ideal candidates possess an eagerness to leverage Generative AI to solve real-world business problems and a desire to lead AI-driven change across various business functions.

    • Industry Background: The current batch profile shows learners from diverse industries, including Information Technology, Software, Manufacturing, Pharma & Healthcare, and BFSI, indicating its broad applicability.

  • How is this program different from other online AI courses or MOOCs?

    This program distinguishes itself from typical self-paced online courses or Massive Open Online Courses (MOOCs) through its high-touch, interactive, and university-backed learning model. It prioritizes applied learning in a live, collaborative environment, which is fundamentally different from the isolated, pre-recorded video format of many other platforms.

    • Live, Interactive Learning: The core of the program consists of over 55 hours of live online sessions delivered by industry experts and Purdue faculty and staff, fostering real-time engagement, discussion, and doubt clarification.

    • University Prestige and Benefits: Upon completion, you receive a program completion certificate from Purdue University Online and gain membership in the Purdue Alumni Association, offering a level of credentialing and networking not available from standard course providers.

    • Structured Support System: Learners benefit from a robust support structure, including a dedicated Cohort Manager for queries, mentoring sessions for project assistance, and peer-to-peer engagement via Slack, which helps prevent the low completion rates associated with self-paced learning.

    • Business-Focused, Applied Curriculum: Unlike purely technical courses, this program focuses on the strategic business applications of Generative AI across functions like sales, marketing, and customer service, using industry-relevant case studies and digital transformation projects to ensure skills are immediately applicable.

  • What is the nature of the collaboration with Purdue University?

    The collaboration with Purdue University is a core component that provides significant academic credibility and value to the program. This is a deep partnership where Purdue University Online is involved in the program's academic oversight, instruction, and certification, ensuring a high standard of quality.

    • Official Certification: Upon successful completion, participants earn a prestigious program completion certificate issued by Purdue University Online and Simplilearn, which is a valuable credential from a top-ranked public research institution.

    • Faculty Involvement: The learning experience is enriched by Purdue's direct involvement in instruction. Participants attend exclusive online academic masterclasses led by Purdue faculty and staff, providing deep insights into the strategic applications of Generative AI.

    • Alumni Association Membership: A key benefit of this collaboration is that graduates gain access to the official Purdue Alumni Association membership, offering valuable networking opportunities and a lasting connection to the university.

    • Program Advisors: The program's academic quality is guided by advisors like Ricardo Calix, an Associate Professor at Purdue Northwest, ensuring the curriculum is aligned with both academic rigor and industry relevance.

  • How are Microsoft Azure and Microsoft Copilot integrated into the curriculum?

    Microsoft technologies are deeply integrated into the program, reflecting the program's collaboration with Microsoft Azure and its focus on practical, industry-standard tools. The curriculum not only covers theoretical concepts but also provides hands-on exposure to Microsoft's leading AI platforms to ensure participants are job-ready.

    • Microsoft Azure Cloud Resources: In the "GenAI Tech Stack" module, the curriculum covers the use of major cloud and compute resources, explicitly naming Microsoft Azure alongside AWS and Google Cloud for scaling AI models and solutions.

    • Dedicated Microsoft Copilot Module: There is an entire module, "Module 11: Microsoft Copilot for Business," dedicated to this tool. This section teaches you to leverage Copilot for specific business functions like sales, IT operations, marketing, finance, and HR.

    • Hands-On Tool Training: Microsoft Copilot is one of the key tools covered in the program, and participants learn to use it for tasks such as creating personalized sales proposals, generating campaign reports, and streamlining onboarding checklists.

    • Microsoft 365 Copilot Elective: The program includes an elective course, "MS-4007: Microsoft 365 Copilot Enablement," which equips participants with the skills to drive user adoption of Copilot within their organization using a people-first strategic framework.

  • What specific AI tools and platforms will I learn to use?

    This program provides extensive hands-on experience with more than 16 modern AI tools and platforms that are standard in the industry. The curriculum is designed to move beyond theory, ensuring you gain practical proficiency by working directly with the digital technologies that power business transformation.

    • Core Generative AI Models and APIs: You will work with foundational tools like ChatGPT, the OpenAI API, and other large language models from platforms such as Hugging Face.

    • Business Automation and Content Creation: The curriculum includes training on Zapier for workflow automation, Invideo.ai for AI-driven video content, and design tools like Figma and MIRO for prototyping and collaboration.

    • Data Analytics and Development Platforms: You will gain experience with data-focused AI tools like Julius.ai and MOSTLYAI, developer tools like Visual Studio Code, low-code platforms like Microsoft PowerApps, and cloud infrastructure from Google Cloud Computing Platform.

    • Microsoft Ecosystem Integration: A significant portion of the training focuses on the Microsoft ecosystem, with dedicated modules and projects using Microsoft Copilot to optimize various business operations.

  • What technical skills can I expect to master by the end of the program?

    By the end of this program, you will have mastered a comprehensive set of over 13 technical and strategic skills essential for leading Generative AI initiatives. The curriculum is structured to build practical competencies that bridge the gap between AI technology and business value, enabling you to design, implement, and manage AI-driven solutions effectively.

    • AI Implementation and Scaling: You will learn LLMOps & AI Deployment for managing AI models, Model Evaluation & Optimization to assess performance improvement, and strategies for Scaling AI Initiatives across an entire organization.

    • Automation and Analytics: The program provides deep skills in Workflow Automation, using tools to connect different applications, and Predictive Analytics to forecast trends. You will also master Sentiment Analysis for customer expectations insights and Scenario Simulation for risk modeling.

    • AI Application Development: You will gain practical skills in Chatbot Implementation to build conversational AI agents and learn to apply these skills to create personalized customer satisfaction experiences.

    • Governance and Strategy: The curriculum ensures you master Ethical AI & Compliance to navigate regulatory landscapes and AI Risk Assessment to identify potential challenges. Crucially, you will learn ROI Analysis and understand AI Economics to justify and measure the financial impact of AI projects.

  • How does the program address the ethics and economics of implementing Generative AI?

    The program dedicates an entire core module to the critical topics of artificial intelligence AI ethics and economics, recognizing that successful AI implementation is not just a technical challenge but also a financial and social one. This ensures that graduates are prepared to deploy AI solutions responsibly and in a way that delivers measurable business value.

    • Dedicated Module: Module 10, "Ethics and Economics of GenAI," provides a structured deep dive into these topics, treating them as essential knowledge for any business leader in the AI space.

    • Cost and ROI Analysis: The economics portion covers how to calculate both initial AI costs (data acquisition, model development) and ongoing costs (compute resources, maintenance). It teaches Unit Economics to compare AI versus manual costs and methods for calculating AI ROI to evaluate trade-offs.

    • Ethical Frameworks: The ethics section addresses key concerns such as bias, fairness, privacy, and accountability in AI Data driven decision-making. It equips you to identify and mitigate these ethical challenges in real-world applications.

    • Compliance and Governance: The curriculum covers major data privacy regulations like GDPR and CCPA, ensuring you understand compliance challenges and future directions in collaborating with governments and stakeholders on responsible AI use.

  • What kind of hands-on projects are included in the curriculum?

    The program incorporates 12 industry-aligned projects that provide extensive hands-on experience in applying Generative AI to solve practical business problems. These projects are designed to reinforce the concepts learned in each module, allowing you to build a portfolio of work that demonstrates your ability to develop and manage AI-driven solutions.

    • Business Strategy and Automation: Projects like "Leveraging GenAI for Business Insights and Decision Making" and "Automating Blog Creation and Email Notifications Using Zapier" teach you to use AI for data analysis and robotic process automation.

    • Marketing and Customer Engagement: You will work on projects such as "Creating an AI-Driven Content Campaign" using ChatGPT and DALL-E and "Implementing and Managing a GenAI-Powered Customer Support Agent" with tools like Eleven Labs.

    • Product Development and Management: The curriculum includes projects like "Managing the Fit Smart Product Lifecycle with ChatGPT" and "Automating Feature Scaling Decisions with Generative AI" to apply AI across the entire product lifecycle.

    • Platform-Specific Applications: Several projects focus on specific tools, such as "Enhancing Product Launches with AI-Powered Microsoft Edge Copilot" and "Integrating LeadSuccessBot with FairJob Platform," ensuring you gain practical tool proficiency.

  • How does the program cover the Generative AI tech stack and concepts like LLMOps?

    The program provides a dedicated and comprehensive module on the Generative AI tech stack to ensure business leaders understand the foundational emerging technologies required to implement AI at scale. This module moves beyond high-level strategy to cover the specific components, models, and operational practices that underpin successful AI deployment.

    • Dedicated Tech Stack Module: Module 3, "GenAI Tech Stack," focuses entirely on the key components and business impact of AI infrastructure.

    • Foundation Models: The curriculum covers different foundation models like GPT-4, MidJourney, and Stable Diffusion, teaching you to compare their applications and evaluate the trade-offs between open-source and proprietary models.

    • LLMOps for Deployment: The module explicitly covers LLMOps, teaching the practices for monitoring, security, and implementing ethical safeguards during AI deployment to ensure models are managed effectively and responsibly in production.

    • Development and Cloud Resources: You will learn about key AI development tools, including LangChain and vector databases, as well as the role of cloud platforms like AWS, Google Cloud, and Azure in providing the compute resources needed to scale AI models efficiently.

  • What are the career advantages of completing this Generative AI program?

    Completing this program provides significant career advantages by equipping you with the strategic skills to lead AI-driven modern business transformation project, a highly sought-after capability in today's market. It positions you to move beyond functional management transformation into leadership roles that shape company-wide strategy and drive innovation, making you a more valuable asset to any organization.

    • Lead Strategic Initiatives: You will learn to adopt AI strategically and integrate it across business functions, enabling you to lead generative AI initiatives that optimize sales, marketing, and product development.

    • Drive Digital Transformation: The program equips you to drive digital transformation by automating workflows and increasing operational efficiency, skills that are critical for senior leadership and management consulting roles.

    • Enhanced Decision-Making: You will gain the ability to leverage AI-powered data analytics to extract actionable insights, allowing you to make smarter, data-driven business performance decisions that impact the bottom line.

    • Prestigious Credentialing: Earning a certificate from Purdue University Online provides a powerful credential that is recognized globally, enhancing your professional profile and opening doors to new career opportunities.

  • What kind of job roles does this program prepare me for?

    While this program is designed for current leaders and managers aiming to integrate AI into their strategic roles, the skills acquired are directly applicable to a variety of senior and executive positions that are emerging in the AI-driven economy. It prepares you to lead digital transformation initiatives rather than focusing on a single entry-level job title.

    • Strategic Leadership Roles: The program is ideal for C-suite Executives, Senior Managers, and Functional Heads who want to become leaders in AI strategy and implementation within their existing domains (e.g., Head of Marketing Innovation, Director of AI Transformation).

    • Consulting and Advisory Roles: The curriculum provides the comprehensive knowledge required for roles such as a Technology Consultant or AI Strategy Consultant, where you would advise companies on how to leverage AI for business growth.

    • Product and Innovation Leadership: Professionals in product development can leverage the program to move into roles like Director of Product Innovation or AI Product Manager, leading the creation of next-generation AI-powered products and services.

    Entrepreneurial Ventures: The program is also well-suited for Entrepreneurs who want to build businesses that are fundamentally powered by Generative AI, providing them with the knowledge to create scalable, AI-first operations.

  • Are there any financing or monthly installment options available?

    Yes, flexible financing options are available to make the program more accessible. You can choose to pay the total program fee in manageable monthly installments rather than as a single lump sum. These options are provided through established third-party financing partners to ensure a secure and transparent business process.

    • Low Monthly Payments: The program can be financed with monthly installments starting as low as $250 per month in the US or ₹5,373 per month in India, making the investment more manageable for working professionals.

    • Financing Partners: These payment plans are offered through partnerships with Splitit or Klarna in the US and ShopSe, Propelld, or Fibe in India, all of which are well-known providers of installment payment solutions.

    • Transparent Terms: The financing options are offered with a low Annual Percentage Rate (APR) and are structured with no hidden fees, so you can be confident about the total cost.

    • Accessibility Goal: The availability of these financing options is intended to ensure that professionals who are eager to leverage Generative AI for business transformation can enroll without the barrier of a large upfront payment.

  • How is the program delivered and what is the weekly time commitment?

    This 12-week program is delivered in a live, online, and interactive format designed for working professionals. This delivery model combines the flexibility of online learning with the structure and engagement of a traditional classroom. The weekly time commitment is clearly defined to help you balance the program with your professional responsibilities.

    • Delivery Format: All sessions are conducted live and online, allowing for real-time interaction with instructors, Purdue faculty, and fellow learners. The program emphasizes peer-to-peer engagement and expert mentorship.

    • Weekly Schedule: A typical weekly schedule involves classes held over the weekend on Saturdays and Sundays. For example, the September 2025 cohort has classes scheduled from 9:00 AM to 12:00 PM CDT.

    • Time Commitment: You should expect to dedicate approximately 5 to 6 hours per week to the program. This includes time for attending live classes, participating in discussions, and working on projects and guided practices.

    • Flexibility for Missed Classes: To accommodate professional schedules, the program offers a "Flexi Learn" feature. If you miss a live session, you can access class recordings to catch up and ensure you do not fall behind.

  •  Is Generative AI just another tech fad, or is it a fundamental shift for businesses?

    Generative AI represents a fundamental business shift, not just a temporary trend. Its ability to transform core operations, from decision-making to innovation and scalability, signals a lasting impact on the global economy. This program is built on the premise that AI integration is a strategic imperative for sustained growth.

    • Economic Impact: McKinsey projects AI will have an economic impact of $15.5-$22.9 trillion annually by 2040.

    • Market Growth: The market has a projected Compound Annual Growth Rate (CAGR) of 43% over the next decade, indicating sustained investment and expansion.

    • Competitive Edge: It is already revolutionizing key functions like sales and marketing, making its adoption essential for maintaining a competitive advantage.

  • For a business leader, what's the real difference between "regular AI" and "Generative AI"?

    For a business leader, the key difference is that regular AI analyzes existing data to make predictions, while Generative AI creates entirely new content, ideas, and solutions. This program's "AI Literacy" module clarifies this distinction, focusing on how Generative AI unlocks new strategic capabilities beyond simple analysis.

    • Regular AI is primarily analytical, helping you understand past data to forecast future events or classify information.

    • Generative AI is creative, empowering you to generate novel outputs like marketing copy, product designs, or automated workflows.

    • The program teaches how Large Language Models (LLMs) and other foundation models power this creative capability.

    • This distinction is crucial for identifying new, innovative use cases that go beyond simple data analysis.

  • Can my business use Generative AI effectively without hiring expensive data scientists?

    Yes, businesses can leverage Generative AI without a large team of data scientists, especially by using modern tools and focusing on workflow automation. This program specifically teaches leaders how to use platforms like Zapier and Microsoft Copilot to implement AI solutions directly into business processes.

    • Tool Accessibility: The curriculum covers over 16 modern AI tools, many of which are designed for business users with low-code or no-code interfaces.

    • Practical Focus: The "Workflow Automation" module centers on integrating AI for tasks like content generation without requiring deep coding knowledge.

    • Empowerment Business Goal: The program’s aim is to empower existing business leaders to deploy AI strategically, making data science expertise less of a barrier.

  • What are the biggest risks for a company that decides to ignore Generative AI?

    The biggest risk of ignoring Generative AI is losing competitive advantage through operational inefficiency and slower innovation. As competitors adopt AI to automate workflows, personalize customer experiences, and accelerate R&D, companies that lag behind will face higher costs and reduced market relevance.

    • You risk falling behind in operational efficiency as competitors automate sales, marketing, and customer service.

    • Innovation cycles for product development and R&D will be significantly slower than those of AI adopters.

    • Your business decisions will be less accurate due to a lack of AI-driven data analytics.

    • You will have a reduced ability to offer hyper-personalized campaigns and customer interactions, leading to lower engagement.

    • You may struggle to attract and retain top talent, who are increasingly drawn to innovative, AI-first companies.

  • Will Generative AI replace my job as a manager or business leader?

    Generative AI is positioned to augment, not replace, the role of managers and leaders. It automates repetitive tasks and provides data-driven insights, freeing up human leaders to focus on strategic decision-making, team development, and innovation. This program is designed to transform leaders into AI-driven strategists.

    • Enhanced Strategy: It augments your strategic decision-making by providing AI-powered data analytics.

    • Improved Efficiency: It automates routine workflows, increasing a manager's operational efficiency and freeing up valuable time.

    • Innovation Driver: It enables you to spearhead new innovation initiatives in areas like product development and marketing.

  • I don't have a programming background. Can I still successfully lead AI projects?

    Yes, you can lead AI projects without a programming background. Effective transformation in AI leadership is more about understanding business strategy, use cases, and ethical implications than it is about coding. This program is explicitly designed for business and technology leaders, not just coders.

    • The target audience includes C-suite Executives, Senior Managers, and Consultants.

    • The program’s eligibility criteria prioritize work experience and strategic thinking, with no programming prerequisite.

    • The curriculum focuses on AI literacy and strategic deployment, not deep programming.

    • Hands-on training is provided on low-code and no-code platforms, making AI accessible to non-programmers.

  • As a manager, what's the most practical first step to start using AI in my team?

    A practical first step is to identify and automate repetitive, time-consuming tasks within your team's workflow. This program's "Workflow Automation" module provides a direct playbook for this, teaching you to use tools like Zapier with AI to automate processes like content generation, email responses, and social media updates.

    • Understand the Basics: Start by understanding workflow automation principles and their impact on efficiency.

    • Focus on Use Cases: Center your digital transformation efforts on immediate applications like content generation or email automation.

    • Develop Skills: Learn to build and debug automated workflows using triggers and integrations.

  • How does understanding "AI economics" make me a more effective leader?

    Understanding AI economics allows you to make a strong business case for AI initiatives and measure their true impact, making you a more effective and accountable leader. This program dedicates a module to this topic, teaching you how to calculate costs, determine ROI, and evaluate financial trade-offs.

    • You learn to analyze both initial AI costs (development, data) and ongoing operational expenses.

    • The curriculum covers Unit Economics, allowing you to directly compare the costs of AI versus manual processes.

    • The program teaches how to calculate the return on investment (ROI) for AI projects.

    • This knowledge allows you to build a strong business case, justify investments to stakeholders, and ensure profitability.

  • Is it better to just learn a specific AI tool like ChatGPT, or to learn broader AI strategy?

    Learning a broad AI strategy is more valuable for a leader than mastering a single tool. A tool may become outdated, but a strategic framework for identifying opportunities, managing implementation, and ensuring ethical compliance is a timeless leadership skill. This program focuses on that broader strategy while still providing hands-on experience with over 16 current tools like ChatGPT.

    • Strategic Foundation: The program begins with "AI Literacy for Business Leaders" to build a strong strategic framework.

    • Technical Depth: It covers the entire "Generative AI Tech Stack" and "LLMOps" for scalable, long-term deployment.

    • Holistic View: It addresses crucial topics like AI ethics, compliance, and economics that transcend any single tool.

    • Practical Skills: You still gain hands-on proficiency with 16+ modern AI tools, ensuring practical skills are developed.

    • Applied Learning: The 12 industry projects require you to apply strategy using these tools, connecting theory to practice.

  •  How can my small business benefit from Generative AI without a massive budget?

    A small business can benefit by focusing on low-cost, high-impact applications like workflow automation and content creation. Using accessible tools to automate marketing emails, generate social media content, or handle initial customer service inquiries can provide significant value without requiring large investments in custom models or infrastructure.

    • The program covers workflow automation using accessible tools like Zapier.

    • You learn AI-powered lead generation and content creation for marketing.

    • Implementing AI chatbots can enhance customer service efficiency at a low cost.

  • What's the most important factor for a successful AI implementation: The technology or the business strategy?

    While technology is important, a clear business strategy is the most critical factor for a successful AI implementation. A project without a strategic goal, defined ROI, and ethical guidelines is likely to fail, regardless of how advanced the technology is. This program is designed around a business-first approach to AI.

    • Strategy-First Curriculum: The program's structure begins with strategy ("AI Literacy") before diving into specific digital technologies.

    • Business Integration: The curriculum focuses on integrating AI across business functions to enhance decision-making.

    • Optimization Focus: It teaches you to lead AI initiatives to optimize specific areas like sales and marketing.

    • Responsible Deployment: Modules on AI economics and ethics ensure your strategy is sound and responsible.

  • How do you actually measure the return on investment (ROI) of a Generative AI project?

    You measure the ROI of a Generative AI project by comparing the financial gains (e.g., increased revenue, cost savings from automation) against the total costs of implementation (e.g., software, development, ongoing maintenance). The module on "Ethics and Economics of Generative AI" provides a framework for this calculation.

    • You will learn to assess initial and ongoing costs, including software, development, and maintenance.

    • The course teaches you to quantify financial gains through increased revenue, cost savings from automation, and enhanced efficiency.

    • The program's "Ethics and Economics of GenAI" module provides a specific framework for these calculations and for evaluating trade-offs.

  • Can AI really help with highly creative tasks like product design and branding?

    Yes, Generative AI is a powerful tool for augmenting creative tasks. It can rapidly generate design variants, create virtual prototypes, automate market research for new ideas, and help maintain brand consistency in content. The program includes a module on using AI for Product Research & Development.

    • Market Research: Learn to use AI for automated market research and product idea validation.

    • Prototyping: The curriculum covers auto-generating design variants and virtual prototyping.

    • Brand Management: One of the hands-on projects involves managing brand consistency with Generative AI.

    • Campaign Creation: Another project uses ChatGPT and DALL-E to create an AI-powered social media campaign.

    • Product Lifecycle: A dedicated project involves managing the entire "Fit Smart" product lifecycle with ChatGPT, from research to launch.

  • Is a university-affiliated AI program more valuable than a non-affiliated online bootcamp?

    A university-affiliated program offers a higher level of credibility, academic rigor, and valuable networking opportunities that are often not available in non-affiliated bootcamps. This program's collaboration with Purdue University provides a prestigious certificate and access to the Purdue Alumni Association, which are significant differentiators.

    • You earn an elite program completion certificate from Purdue University Online, a globally recognized top-ranked public university.

    • You gain access to the exclusive Purdue Alumni Association membership, offering a valuable global professional network.

    • The program includes live online masterclasses from esteemed Purdue faculty and staff, providing direct access to academic experts.

    • The curriculum is guided by Program Advisors from Purdue, ensuring academic quality and rigor.

  • After the program, will I be able to build an AI model from scratch?

    This program is designed to teach business transformation leaders how to strategically deploy AI and manage AI projects, not how to become a machine learning engineer who builds models from scratch. You will learn about the AI tech stack, foundation models, and how to integrate AI tools, but the focus is on business application, not deep coding.

    • The curriculum is designed for strategic leaders like C-suite executives, senior managers, and consultants.

    • You will learn about foundation models like GPT-5/GPT-4 and how to use their capabilities, not how to build them.

    • The primary goal is to equip you to lead AI initiatives and manage implementation, focusing on business application rather than deep coding.

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.