• Application closes on

    17 Apr, 2025
  • Program duration

    16 weeks (8-10hrs / 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

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    Business Use Cases

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

Corporate Training

Enterprise training for teams

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

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

11+ Tools Covered

ChatGPTJulius.aiZapierInvideo.aiHugging FaceOpen AIMicrosoft CopilotVisual Studio Code UMN PM BootcampMOSTLYAIMIROFigma

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

  • Armando Galeana

    Armando Galeana

    Founder and CEO at Ubhuru Technologies

    A seasoned data science leader, with extensive experience in digital transformation. Throughout his career, Armando has leveraged his vast expertise in AI & ML to build infrastructure, create new lines of business and drive global implementations.

  • 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

  • Bassel Dakhlallah

    Bassel Dakhlallah

    13+ years of experience

    Business Analytics Senior Manager

  • Sohail Hosseini

    Sohail Hosseini

    15+ years of experience

    DevOps Engineer

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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
  • 60+ 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 gen AI for business Transformation program is designed to help business leaders leverage the power of AI to streamline business strategies and create innovation. This comprehensive course teaches skills like data analytics, explainable AI, prompt engineering, conversational AI, predictive analytics, workflow automation, ethics in AI, code generation, and more. It provides practical exposure to over 11 AI tools, including, ChatGPT, Google Gemini, Amazon Code Whisperer, Zapier, Invideo AI, and more. You will learn how to apply generative AI across multiple business use cases in live online classes and masterclasses from Purdue facult and staff, and AWS authored self-pace learning content.

  • What does a Generative AI engineer do?

    Generative AI engineers take the lead in developing innovative AI solutions to drive business transformation. They design and build algorithms for generative models with deep learning techniques, optimize and fine-tune those models for efficiency and performance. Gen AI engineers collaborate with cross-functional teams to integrate AI into existing business workflows, stay up-to-date with the latest gen AI tools and techniques, 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 lead the Generative AI for Business Transformation program from the data and AI field, bringing real-world insights and practical knowledge to the classroom. Before they are qualified to train for us, they must undergo a thorough selection procedure, including profile assessment, technical examination, and a training presentation.

    Faculty members and staff from Purdue University Online deliver the masterclasses for this program. Experts at AWS curate the online self-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 gen AI program consists of three simple steps:

    • Submit an online application with some information about yourself and why you want to take the program.

    • An admissions panel will review your application and shortlist candidates.

    • If selected, you will be notified by email.

    You will be able to start the course within one to two weeks and after paying the admission fee.

  • What is the expected salary after completing the business transformation course?

    AI engineers who create business transormation can expect to make the following annual salary:

    Average annual salary

    AI engineer salary in the US

    AI engineer salary in India

    Low Range

    $122K

    ₹6L

    High Range

    $192K

    ₹14L

  • 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 program is entirely online, so attending a classroom in person is unnecessary. You can access your lectures, readings, and assignments anytime and anywhere via the web or your mobile device.

  • 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 program 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 digital transformation by introducing generative AI models and generative AI systems that streamline various business functions. By integrating generative AI technology into the digital transformation strategy, businesses can develop new business models, optimize supply chain management, and drive successful digital transformation. These generative AI solutions enable more efficient operations, foster innovation, and ultimately contribute to the overall success of the organization's digital 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

  • 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.