• Next Cohort starts 23 Oct, 2023
  • Program Duration 11 months
  • Learning Format Online Bootcamp

Why Join this Program

Purdue’s Academic Excellence

Purdue’s Academic Excellence

Data Science certificate from Purdue, the 8th most innovative university in the US.

Gain Generative AI Mastery

Gain Generative AI Mastery

Dedicated course on Generative AI, Prompt Engineering, ChatGPT and more

IBM’s Industry Prowess

IBM’s Industry Prowess

Obtain certificates for IBM courses and get access to masterclasses by IBM 

Hands-on Experience

Hands-on Experience

Acquire practical experience through 25+ hands-on projects and 20+ tools with integrated labs


Looking to enroll your employees into this program ?

Post Graduation in Data Science Overview

Experience the excellence of Purdue's academic prowess in data science through this Post Graduate Program. Delve into essential topics like Python, R, ML, Data Visualization, Generative AI, Explainable AI, ChatGPT, and more using an interactive learning approach with live sessions led by global experts. Elevate your data skills with us!

Key Features

  • Post Graduate Data Science certificate and Purdue alumni association membership
  • Generative AI and Prompt Engineering: Dedicated course with live sessions
  • Learn about ChatGPT, DALL-E, Midjourney & other prominent tools
  • Masterclasses delivered by Purdue faculty and IBM experts
  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Industry-relevant capstone projects in 3 domains
  • 25+ hands-on projects with seamless access to integrated labs
  • Exclusive hackathons and Ask Me Anything sessions by IBM
  • 8X higher engagement in live online classes by seasoned academics and industry professionals
Key Features
Post Graduate Data Science certificate and Purdue alumni association membership
Generative AI and Prompt Engineering: Dedicated course with live sessions
Learn about ChatGPT, DALL-E, Midjourney & other prominent tools
Masterclasses delivered by Purdue faculty and IBM experts
Simplilearn Career Service helps you get noticed by top hiring companies
Industry-relevant capstone projects in 3 domains
25+ hands-on projects with seamless access to integrated labs
Exclusive hackathons and Ask Me Anything sessions by IBM
8X higher engagement in live online classes by seasoned academics and industry professionals

PG in Data Science Advantage

Post Graduate Program in Data Science is an all-encompassing program in collaboration with Purdue University – leveraging Purdue's academic excellence in data science and Simplilearn's IBM partnership.

  • Purdue Certification

    Partnering with Purdue University

    • Receive a joint Purdue-Simplilearn certificate
    • Masterclasses by Purdue faculty
    • Purdue Alumni Association membership
  • IBM Certification

    Program in collaboration with IBM

    • Industry recognized IBM certificates for IBM courses
    • Industry masterclasses conducted by IBM
    • Exclusive hackathons and Ask Me Anything (AMA) Sessions with IBM leadership

PG in Data Science Details

Embark on a carefully designed learning journey covering Generative AI, Explainable AI, prompt engineering, ChatGPT, statistics, Python, data analysis, machine learning, data visualization, and more. Elevate your data science skills and propel your career forward

Learning Path

  • Get started with the Post Graduate Program in Data Science in partnership with Purdue University and explore everything about the domain. Kickstart your Data Science journey with the preparatory courses on Statistics and Programming.

  • This course aims to provide a solid mathematical and statistical principles foundation, fostering critical thinking and problem-solving skills. By the course's conclusion, learners will possess the necessary tools to analyze data, make informed decisions, and apply mathematical and statistical techniques in practical situations relevant to their respective industries. It serves as the initial step in your program journey.

  • In this course, you will develop essential Python skills that are a crucial foundation for your progress throughout the program.

  • Enroll in this course to acquire essential knowledge for effectively working with SQL databases and leveraging them in your applications. Throughout the course, you will gain a solid understanding of SQL statements, conditional statements, commands, joins, subqueries, and various functions, empowering you to manage your SQL database for scalable growth proficiently.

  • The course provides students with the necessary skills to leverage Python for data science. By the course's conclusion, participants will be proficient in writing Python scripts and performing hands-on data analysis using a Jupyter-based lab environment.

  • This course comprehensively explores data science essentials, covering data preparation, model building, and evaluation. Participants will delve into fundamental Python concepts, including strings, Lambda functions, and lists. Additionally, they will gain proficiency in essential topics such as NumPy, linear algebra, and statistical concepts, which include measures of central tendency and dispersion, skewness, covariance, and correlation.

  • This course comprehensively explores diverse machine learning types and their practical applications. Participants will gain insights into the machine learning pipeline, delving into supervised learning, regression models, and classification algorithms. Additionally, the course covers unsupervised learning, clustering techniques, and ensemble modeling. Participants will also evaluate well-known machine learning frameworks like TensorFlow and Keras.

  • This Tableau course and unlock a comprehensive understanding of creating captivating visualizations, optimizing data organization, and designing informative charts and dashboards to facilitate astute business decisions. Throughout the program, you'll delve into data visualization concepts, gain proficiency in crafting diverse combo charts and stories, and learn to work adeptly with filters, parameters, and sets. Additionally, you'll master the art of constructing interactive dashboards.

  • The data science capstone project provides a valuable opportunity to apply the skills you have acquired during this program. With the guidance of dedicated mentors, you will address a real-world data science problem aligned with industry standards. This comprehensive project covers data processing, model building, and reporting business results and insights. It is the final step in your learning journey and enables you to demonstrate your Data Science expertise to potential employers.

  • Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.

  • Attend this online interactive industry master class to gain insights about Data Science advancements and AI techniques.

  • Enroll in this course to gain practical, data-driven decision-making skills by mastering data analysis and statistics. Using the widely-used office tool, Excel, you will acquire the expertise to perform sophisticated data analytics, empowering you to make informed business decisions confidently.

  • Microsoft Power BI offers robust tools designed to analyze data and extract valuable business insights through interactive dashboards. This comprehensive training course on Power BI empowers you to fully harness its potential, enabling you to solve business challenges and improve operations effectively. Throughout the course, you'll learn to develop dashboards from published reports expertly, and utilize Quick Insights to discover valuable patterns rapidly.

  • In this course, participants will comprehensively study generative AI models, with a special emphasis on ChatGPT. The curriculum covers essential principles of generative AI, prompt engineering, explainable AI, conversational AI, ChatGPT, and other large language models.

  • This course helps to gain a comprehensive understanding of the R Programming language. R Programming is a vital tool for data analysis and is essential for aspiring data science professionals. This course teaches you how to write R code, explore R's data structures, and create custom functions. By the end of the course, you will be well-prepared to embark on your first data analysis project.

Skills Covered

  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Explainable AI
  • Large Language Models
  • Explainable AI
  • Conversational AI
  • Exploratory Data Analysis
  • Descriptive Statistics
  • Inferential Statistics
  • Model Building and Fine Tuning
  • Supervised and Unsupervised Learning
  • Ensemble Learning
  • Data Visualization
  • Database Management

Tools Covered

ChatGPTDalle.2Mid-journeyNumPypandaspythonSciPyMatPlotlibtableauMicrosoft ExcelMySQLFSD

Industry Project

  • Project 1

    Sales Analysis

    Utilize Python to analyze a clothing company’s sales data for Australia, and state by state help the company make data-driven decisions for the coming year.

  • Project 2

    Employee performance Analysis

    Create ML programs to understand different factors for employee turnover. Perform different machine learning techniques for performance, and suggest employee retention strategies.

  • Project 3

    Classification of Songs

    Perform exploratory data analysis and perform cluster analysis to create cohorts of songs. The classification would help to create an efficient recommendation system.

  • Project 4

    Creation of an Interactive Sales Dashboard

    Create an interactive Sales Dashboard for an apparel OEM in Tableau for the Sales department to use for ad-hoc analysis and reporting.

  • Project 5

    Crime Analysis with Tableau Dashboard

    Prepare a dashboard to keep the police department and the city updated on the statistics of crime events. You are required to create a dashboard/story using Tableau.

  • Project 6

    Marketing Strategies with Exploratory Data Analysis

    Perform exploratory data analysis and hypothesis testing. The goal is to gain a better understanding of the various factors that contribute to customer acquisition.

  • Project 7

    Develop Ecommerce app with Python

    Develop an e-commerce app on the Python platform that could categorize, add or remove items from the cart and support different payment options

  • Project 8

    Weather Prediction

    Create a classification model using ten years of rainfall data to predict the weather for different locations across Australia

  • Project 9

    Credit Card Fraud Analysis

    Utilize data science and machine learning methodologies. Identify fraudulent credit card transactions so that the end customers are not charged for items that they did not purchase

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.


Program Advisors and Trainers

Program Advisors

  • Patrick J. Wolfe

    Patrick J. Wolfe

    Frederick L. Hovde Dean of the College of Science at Purdue University

    Patrick J. Wolfe, an award-winning researcher in the mathematical foundations of data science, is the Frederick L. Hovde Dean of the College of Science at Purdue University and was named the 2018 Distinguished Lecturer in Data Science by the IEEE.


Program Trainers

  • Simon Travasoli

    Simon Travasoli

    25+ years of experience

    Senior Data Science Consultant at Citi Bank

  • Armando Galeana

    Armando Galeana

    20+ years of experience

    Founder and CEO, Ubhuru Technologies

  • Prashant Nair

    Prashant Nair

    20+ years of experience

    Solution Architect | Data Scientist

  • Nikhil Garg

    Nikhil Garg

    16 + years of experience

    Data Science Instructor


Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service to help you to be career ready for the workforce and land your dream job in U.S. markets.
One-on-one Interview Service by TopInterview

One-on-one Interview Service by TopInterview

Get a Resume Makeover from TopResume

Get a Resume Makeover from TopResume

Reach numerous employers with ResumeRabbit

Reach numerous employers with ResumeRabbit

Complete Candidate Confidentiality Assured

Complete Candidate Confidentiality Assured

Join the Data Science industry

The global Data Science Platform Market size was valued USD 95.3 billion in 2021, The market for data science platform is estimated to reach 322.9 USD billion in 2026.

Job Icon28%

Annual Job Growth By 2026

Source: Market Research Rpt
Job Icon11.5 M

Expected New Jobs For Data Science By 2026

Source: US bureau of Labor
Job Icon$86K - $157K

 Average Annual Salary

Source: Glassdoor

Batch Profile

The Post Graduate Program in Data Science is designed for working individuals from various sectors. The variety of students enriches class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Information Technology - 41%Consulting - 20%Manufacturing - 8%Pharma & Healthcare - 8%BFSI - 8%Others - 15%
    Tata Consultancy Services
    GE Aviation
    Ernst & Young
  • The class maintains an impressive diversity across work experience and roles
    Designation Breakup
    Associate - 21%Midlevel - 47%Senior-level - 24%Executive - 8%
    Total Years of Experience
    Less than 3 years - 16%3-5 years - 15%5-8 years - 11%8+ years - 58%
  • The class has learners with varied educational qualifications from excellent institutions
    Bachelors - 53%Masters - 29%Post Graduates - 3%Others - 15%
    BITS Pilani
    IIM Kozhikode
    HULT International Business School
    IIM Indore
    IIT Bombay
    University of Illinois at Chicago
    McGill University
    Oklahoma State University
    IIT Roorkee
    Northern Illinois University

Learner Reviews

Admission Details

Application Process

Candidates can apply to Post Graduate Program in Data Science in 3 steps. Selected candidates receive an offer of admission, which is accepted by admission fee payment.


Submit Application

Tell us why you want to do Post Graduate Program in Data Science


Application Review

An admission panel will shortlist candidates based on their application



Selected candidates can start within 1-2 weeks

Eligibility Criteria

For admission to Post Graduate Program in Data Science, candidates should have:

2+ years of work experience preferred
A bachelor's degree with an average of 50% or higher marks
Basic understanding of programming concepts and mathematics

Admission Fee & Financing

The admission fee for this PG in Data Science is $ 3,999. This fee covers applicable program charges and the Purdue Alumni Association membership fee.

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.

Pay in Installments

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


Other Payment Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 3,999

Apply Now

Program Benefits

  • Masterclasses delivered by Purdue and IBM
  • Earn program completion certificate
  • Exposure to ChatGPT, Generative AI, Explainable AI and more
  • Alumni Association Membership from Purdue University
  • Simplilearn’s Career Assistance post program completion

Program Cohorts

Next Cohort

    • Date


      Batch Type

    • Program Induction

      23 Oct, 2023

      08:30 CDT

    • Regular Classes

      16 Dec, 2023 - 25 Aug, 2024

      07:30 - 11:30 CST

      Weekend (Sat - Sun)

Got questions regarding upcoming cohort dates?

Post Graduation in Data Science FAQs

  • What is the eligibility criteria for this PG in Data Science?

    • This PG in Data Science requires the following qualifications:

      • A bachelor's degree with a 50% or above grade point average.

      • Understanding basic programming principles and mathematics is required.

      • Working professionals with at least two years of experience are recommended for Post Graduate Program in Data Science.

  • What is the admission process for this PG in Data Science?

    • There are three manageable phases to the PG in Data Science admission:

      • All interested applicants must apply online using the application form.

      • Candidates will be shortlisted by an admissions panel based on their application.

      • The shortlisted candidates will get an offer of admission, which they must accept by paying the fees.

  • What are the financial aids available to enroll in this PG in Data Science?

    We have partnered with Affirm to provide competitive financing options(EMI option available) 

  • Is there any financial assistance available for this Post Graduation in Data Science?

    To ensure that money is not a problem for individuals, we provide a variety of funding alternatives to make this Post Graduate Program in Data Science more affordable. Please see our "Admissions Fee and Financing" section for further information.

  • Which courses are the most important in this PG in Data Science?

    This PG in Data Science walks you through learning all the fundamentals from the ground up. The following modules make up the complete syllabus:

    • R Programming for Data Science
    • Data Science with R
    • Python for Data Science
    • Data Science with Python
    • Machine Learning
    • Natural Language Processing
    • Tableau Training
    • Data Science Capstone

    Take your business intelligence skills to the next level with Simplilearn's expert-led business intelligence courses. Stay ahead in today's data-driven world.

  • Is there a minimal educational need to be considered for this Post Graduation in Data Science?

    If you want to participate in this Post Graduate Program in Data Science, you must have a bachelor's degree with a 50 percent (or above) average.

  • What does Data Science entail?

    Data science studies large amounts of data using cutting-edge tools and methodologies to uncover hidden patterns, extract useful information, and make business choices.

  • What influence will Data Science have in 2023?

    Given the vast volumes of data created today, data science will continue to be essential for any company. As a result, both data and the need for Data Scientists will continue to increase.

  • What are the most common Data Science job roles?

    The most in-demand job of the twenty-first century is Data Scientist, and for all the right reasons: the opportunity, earning potential, demand, and more. Other job oriented courses and Data Science career positions are in high order: Data Engineer, Data Architect, Data Analyst, and Business Analyst.

    Discover an Extensive Collection of Best Computer Courses.

  • What are the essential functions and responsibilities of a Data Scientist?

    A Data Scientist identifies the business issues that need to be answered and then develops and tests new algorithms for quicker and more accurate data analytics utilizing a range of technologies such as Tableau, Python, Hive, and others. A Data Scientist also collects, integrates, and analyses data to acquire insights and reduce data issues so that strategies and prediction models may be developed.

  • What is a Data Science Professional's earning potential?

    The field's potential is endless, and Data Science jobs provide many opportunities and high-paying incomes. Based on experience, region, and employer, India's typical Data Scientist compensation might range from Rs.1,000K to Rs.1,800K. (according to Glassdoor) The annual wage in the United States ranges from $113K to $150K. Discover other professional courses here.

    Discover Your Future: Find More Business Intelligence Courses to Shape Your Career.

  • What can I achieve from this PG in Data Science?

    You will receive the following as part of this PG in Data Science, which is offered in conjunction with IBM:

    • Simplilearn-Purdue University Joint Certificate.

    • Industry-recognized certificates from IBM (for IBM courses) and Simplilearn

    • Purdue Alumni Association membership eligibility

    • Lifetime access to all (the core) of the e-learning content created by Simplilearn

  • Will I become an alumni of Purdue University after completion of this PG in Data Science?

    Yes, after completing this PG in Data Science, you will be eligible for membership in the Purdue Alumni Association

  • After finishing the PG in Data Science, what credential will I receive?

    Simplilearn and Purdue University will grant you a joint certification upon completing the PG in Data Science. After completing the courses on the learning route, you will get industry-recognized credentials from IBM and Simplilearn.

  • Will there be any materials to help you get started with this PG in Data Science?

    You'll have access to a preparatory course once you pay the first installment of the fee. Before attending the first class, you must complete the prescribed learning path. The tutorials will include 8-10 hours of video-based self-paced learning content.

  • What exactly is Global Teaching Assistance?

    Our teaching assistants are a devoted group of subject matter experts who are here to help you pass the Data Science exam on your first try. From class onboarding through project mentorship and employment aid, they engage students proactively to ensure that the course route is followed and help you expand your learning opportunity.

  • How will my doubts/questions be addressed in the admission process?

    We have a specialized staff of admissions counselors that can assist you with your application for this PG in Data Science.

  • What are the qualifications of the faculties, and how are they chosen?

    Our highly skilled Data Science professors are all industry specialists with years of expertise. Before they are qualified to train for us, they have undergone a thorough selection procedure that includes profile screening, technical Examination, and a training demo. We also ensure that only trainers with a high alumni rating stay on our staff.

  • How can I get the certificate?

    You will be qualified for the certificate if you meet the following minimum criteria. This certificate will attest to your abilities as a Data Science specialist.

    Course Course completion certificate Criteria
    Programming Refresher Required 85% of Online Self Paced completion
    Statistics Essential for Data Science Required
    Data Science with R Required
    1. 85% of online self-paced completion or attendance of 1 live virtual classroom,
    2. a score above 75% in the course-end assessment,
    3. and successful evaluation in at least 1 project
    Data Science with Python Required
    Machine Learning and Tableau Required
    Natural Language Processing Required
    Capstone Project Required Attendance of 1 live virtual classroom and successful completion of the capstone project

  • Will I be able to access the content after completion of the PG in Data Science?

    Yes, even after completing the PG in Data Science, you may access the course content.

  • How to know whether this PG in Data Science is good for me?

    It's always beneficial to learn new talents and broaden your knowledge. This PG in Data Science was created in collaboration with Purdue University and is an excellent combination of a world-renowned curriculum and industry-aligned training, making this Post Graduate Program a superb choice

  • I don't have any technical background. Can I still apply to this program?

    Yes, even if you have no technical expertise, you may enroll in the PG in Data Science. A rudimentary understanding of programming languages and mathematics, on the other hand, will be advantageous.

  • Is it possible to sign up in this PG in Data Science if I have no prior experience with the subject?

    Yes, even if you have no prior understanding of Data Science, you may enroll in the PG in Data Science since it will take you from the foundations to the top. You will gain all of the high fundamental Data Science abilities.

  • My present position does not need me to work with data. Is it logical for me to pursue this PG in Data Science?

    Data rules businesses all around the world. The more data-driven you are, the better off your company will be. Using data insights, you can make meaningful decisions, create strategies, and help your organization accomplish its goals faster. Enrolling in this comprehensive Data Science curriculum will undoubtedly provide you with a competitive advantage

  • What does the 24/7 Support guarantee cover?

    We provide email, chat, and phone help around the clock. We have a dedicated staff that provides on-demand support through our community forum. Furthermore, you will have lifelong access to the discussion forum, even when your course is completed.

  • Can I obtain a refund if I wish to discontinue my enrollment?

    If required, you can easily cancel your enrollment. After deducting an administration charge, we will reimburse the money. Please view our Refund Policy for more information.

  • Disclaimer

    The PG in Data Science is offered on a non-credit basis and is not transferable to a degree

  • What are the advantages of enrolling in this PG in Data Science?

    One of the most sought-after certifications created by industry specialists is Simplilearn's Data Science curriculum with Purdue University. This training will help you stand out from the crowd and get the attention of top employers. The curriculum provides a great mix of theoretical understanding and hands-on experience. It includes unique hackathons and project-based learning with Amazon, Uber, and Comcast datasets.

  • Is there a particular order in which I should master these modules?

    The curriculum for our Post Graduation in Data Science was rigorously crafted by prominent industry professionals and faculty members, taking into account all of the necessary skills and concepts for a successful data science career. It would be best to learn the modules in the sequence listed in the learning path because the material builds on introductory courses.

  • What are the main tasks and functions of a Data Science Expert?

    Data scientists are in charge of analyzing massive volumes of data to visualize hidden trends and patterns and develop valuable conclusions. Solving significant business challenges and making educated decisions are aided by such insights. To build or reveal meaningful connections in raw data, data scientists must use exploratory data analysis, statistical modeling, and machine learning techniques. This Post Graduation in Data Science curriculum may assist you with developing the required abilities to handle all of these obligations.

  • What is the income of a Data Science Expert?

    Because of the scarcity of expertise in space, corporations worldwide are willing to pay more for highly trained data scientists. Certificates, obtained through Simplilearn's Post Graduation in Data Science, enhance salary potential. The following are some average yearly wages for data scientists in various countries:

    • India - INR 708,012
    • US - $96,106
    • Canada - C$80,394
    • Singapore - SGD93,000
    • Australia - A$116K
    • UK - £50,585

  • Is Data Science a promising career path? Are Data Scientists in High Demand?

    Data science is undoubtedly a tremendous professional path with various potential progression chances. Data science positions are in high demand and pay well. Indeed, according to certain Linkedin studies, the Data Scientist is the "most promising career," while Glassdoor calls it the "greatest job in America." Our Post Graduation in Data Science will provide you with all of the necessary skills for a successful data science profession.

  • Are there any refresher courses included in this PG in Data Science?

    To get you started, here are some refresher courses for the PG in Data Science:

    • Mathematical Refresher for Statistics

    • Statistics Essential For Data Science

    • Programming Refresher

  • Do Data Science Experts need to know how to code?

    Programming is an essential aspect of data science. For data science projects, scripting and mathematics are crucial ideas. Gaining foundational knowledge or job experience in the domains mentioned above is strongly recommended for applicants interested in a data science profession. Python and R are widely used programming languages in data research. Our Data Science curriculum will simplify your learning of programming languages.

  • What additional courses in the Data Science and Artificial Intelligence domain Simplilearn offer?

    Simplilearn provides the following courses in the Data Science and AI domain:



  • Can I get a sealed transcript for World Education Services (WES) at the end?

    These certifications and do not include any transcripts for WES, this is reserved only for degree programs. We do not offer sealed transcripts and hence, our programs are not applicable for WES or similar services.

  • What are the key learning outcomes of the course “Essentials of Generative AI, Prompt Engineering and ChatGPT?

    Through this course, you will gain a holistic understanding of the essentials of generative AI and its landscape, prompt engineering, Explainable AI, Conversational AI, ChatGPT and other LLMs.

    The key learning objectives of this course are: 

    • Understand the fundamentals of Generative AI models, including the working principles and various Gen AI models.

    • Comprehend the concept of Explainable AI, recognize its significance and identify different approaches to achieve explainability in AI systems.

    • Apply effective prompt engineering techniques to improve the performance and control the behavior of Generative AI models.

    • Understand ChatGPT, including its working mechanisms, notable features and limitations.

    • Identify and explore diverse applications and use cases where ChatGPT can be leveraged.

    • Gain exposure to fine-tuning techniques to customize and optimize ChatGPT models 

    • Recognize the ethical challenges of generative AI models and ChatGPT to ensure responsible data usage, mitigate bias and prevent misuse. 

    • Understand the potential of Generative AI to revolutionize industries and explore prominent generative AI tools. 

    • Gain insights into the future of Generative AI, its challenges and the steps needed to unlock its full potential.

  • What key topics are covered in the course “Essentials of Generative AI, Prompt Engineering and ChatGPT”?

    Some of the key topics covered in the course “Essentials of Generative AI, Prompt Engineering and ChatGPT” are: 

    • Generative AI and its Landscape 

    • Explainable AI 

    • Conversational AI 

    • Prompt Engineering 

    • Designing and Generating Effective Prompts 

    • Large Language Models 

    • ChatGPT and its Applications

    • Fine-tuning ChatGPT 

    • Ethical Considerations in Generative AI Models 

    • Responsible Data Usage and Privacy 

    • The Future of Generative AI 

    • AI Technologies for Innovation 

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