• Admission closes on 2 May, 2024
  • 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

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Purdue Data Science Overview

The Professional Certificate Program in Data Science teaches you the right tools and techniques, from Python to Machine Learning, and more. The Data Science certification program in Washington provides hands-on labs and projects, bringing the teaching to life. Noted experts from IBM and Purdue participate in the curriculum, where they advise and teach our students in this Data Science certification program in Washington.

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

Purdue Data Science Advantage

Post Graduation 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

Purdue Data Science Details

Embark on a carefully designed learning journey with this Post Graduation in Data Science program covering Generative AI, Explainable AI, prompt engineering, ChatGPT, statistics, Python, data analysis, ML, 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 Online and explore everything about the domain. Kickstart your Data Science journey with the preparatory courses on Statistics and Programming.

    • Develop a comprehensive understanding of coordinate geometry and linear algebra.
    • Comprehend the concepts of eigenvalues, eigenvectors, and eigendecomposition.
    • Build a strong foundation in calculus, including limits, derivatives, and integrals.
    • Comprehend the differences between structured and unstructured data.
    • Explore statistical measures such as means, medians, deciles, percentiles, modes, and quartiles.
    • Define measures of dispersion and other statistical indicators, such as range, quartile deviation, and outliers.
    • Describe mean absolute deviation (MAD), standard deviation, and variance.
    • Acquire proficiency in both procedural and object-oriented programming.
    • Recognize the advantages and benefits of using Python as a programming language.
    • Install Python and its integrated development environment.
    • Familiarize yourself with the Jupyter Notebook and its practical applications.
    • Implement Python identifiers, indentations, and comments effectively.
    • Understand Python's data types, operators, and string functions.
    • Learn about the various types of loops in Python.
    • Explore the concept of variable scope within functions.
    • Explain the principles and characteristics of object-oriented programming.
    • Develop a comprehensive understanding of databases and their relationships.
    • Learn how to use standard query tools and work with SQL commands.
    • Master transactions, table creation, and views for efficient database management.
    • Comprehend and execute stored procedures to perform complex operations.
    • Acquire expertise in various SQL lessons, including filtering, ordering, aliasing, aggregate commands, grouping, conditional statements, joins, subqueries, views, and indexing.
    • Understand user access control functions to ensure database security.
    • Create your first Python program using variables, strings, functions, loops, and conditions.

    • Understand and apply concepts related to lists, sets, dictionaries, conditions, branching, objects, and classes in Python.

    • Utilize the Pandas library to load, manipulate, and save data and read and write files in Python.

    • Explore the processes of data preparation, model building, and evaluation.
    • Develop a strong understanding of NumPy and its applications, including array indexing and slicing techniques.
    • Gain a clear understanding of statistical concepts like skewness, covariance, and correlation.
    • Examine different hypothesis tests, including Z-test, T-test, and ANOVA.
    • Work with pandas' two primary data structures: Series and DataFrame.
    • Utilize pandas for data loading, indexing, reindexing, and data merging.
    • Create compelling visualizations using Matplotlib, Seaborn, Plotly, and Bokeh.
    • Analyze the machine learning pipeline and gain a comprehensive understanding of essential operations involved in machine learning operations (MLOps).
    • Explore supervised learning and unsupervised learning methods.
    • Analyze different regression models and identify their suitability for specific scenarios.
    • Identify linearity between variables and create correlation maps.
    • Examine different ensemble modeling techniques, such as bagging, boosting, and stacking.
    • Evaluate and compare different machine learning frameworks, including TensorFlow and Keras.
    • Build a recommendation engine using PyTorch.
    • Acquire expertise in various visualization techniques, such as heat maps, treemaps, waterfall charts, and Pareto charts.
    • Skillfully work with filters, parameters, and sets to manipulate data effectively.
    • Become proficient in utilizing special field types and Tableau-generated fields and creating and employing parameters.
    • Learn how to construct different charts, interactive dashboards, and captivating story interfaces.
    • Gain proficiency in data blending, creating extracts, and efficiently organizing and formatting data.
    • Master various calculations, including arithmetic, logical, table, and level of detail (LOD) expressions.
  • 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.

Electives:
  • 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.

    • Understand the meaning of business analytics and its importance in the industry 
    • Grasp the fundamentals of Excel analytics functions and conditional formatting 
    • Learn how to analyze complex data sets using pivot tables and slicers 
    • Apply statistical tools and concepts such as moving averages, hypothesis testing, ANOVA, and regression to data sets using Excel 
    • Represent your findings using charts and dashboards
    • Learn to analyze data and extract valuable business insights using Microsoft Power BI.
    • Create interactive dashboards
    • Gain skills to use Power BI to address and solve various business challenges
    • Improve operational efficiency and effectiveness
    • Learn how to develop dashboards from published reports.
    • The course covers using Quick Insights to discover valuable patterns in data rapidly.
    • The course provides valuable troubleshooting techniques
    • Understand the fundamentals of artificial intelligence and generative AI models
    • Comprehend the concept of explainable AI, recognize its significance, and identify different approaches
    • Gain an understanding of ChatGPT, including its working mechanisms, notable features, and limitations
    • Identify and explore diverse applications and use cases where ChatGPT
    • Gain exposure to fine-tuning techniques to customize and optimize ChatGPT models 
    • Recognize the ethical challenges of generative AI models and ChatGPT
    • Gain insights into the future of generative AI and its challenges.
       
    • Learn about math, variables, strings, vectors, factors, and vector operations
    • Gain fundamental knowledge of arrays and matrices, lists, and data frames
    • Get insight into conditions and loops, functions in R, objects, classes, and debugging
    • Learn how to read text, CSV, and Excel files accurately and how to write and save data objects in R to a file
    • Understand and work on strings and dates in R

Skills Covered

  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • 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. Implement various ML techniques for analyzing performance and suggest employee retention strategies.

  • Project 3

    Classification of Songs

    Perform exploratory data analysis and cluster analysis to create cohorts of songs. Use this classification to build 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.

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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.

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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

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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

This Post Graduation in Data Science Program 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
    Industry
    Information Technology - 41%Consulting - 20%Manufacturing - 8%Pharma & Healthcare - 8%BFSI - 8%Others - 15%
    Companies
     course learners from Citigroup, Washington
     course learners from PricewaterhouseCoopers, Washington
     course learners from Tata Consultancy Services, Washington
     course learners from Abbott, Washington
     course learners from Bosch, Washington
     course learners from GE Aviation, Washington
     course learners from Accenture, Washington
     course learners from Ernst & Young, Washington
     course learners from VMware, Washington
     course learners from Amazon, Washington
     course learners from Nvidia, Washington
     course learners from Dell, Washington
  • 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
    Qualification
    Bachelors - 53%Masters - 29%Post Graduates - 3%Others - 15%
    Universities
     course learners from BITS Pilani, Washington
     course learners from IIM Kozhikode, Washington
     course learners from HULT International Business School, Washington
     course learners from IIM Indore, Washington
     course learners from IIT Bombay, Washington
     course learners from University of Illinois at Chicago, Washington
     course learners from McGill University, Washington
     course learners from Oklahoma State University, Washington
     course learners from IIT Roorkee, Washington
     course learners from AIIMS, Washington
     course learners from NITIE, Washington
     course learners from Northern Illinois University, Washington

Alumni Review

The prevalence of big data in business decisions makes this a valuable course for working professionals and executives. This comprehensive online boot camp curriculum includes Business Intelligence/ Data Analytics, Natural Language Processing, Business Analytics, and Deep Learning.

John Scott

VP of Global Finance Technology & InnovationWalmart

What other learners are saying

Admission Details

Application Process

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

STEP 1

Submit Application

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

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

Selected candidates can start within 1-2 weeks

Eligibility Criteria

For admission to Post Graduation 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 Post Graduation in Data Science is $ 4,199. 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, ClimbCredit or Klarna payment option with low APR and no hidden fees.

ClimbCreditKlarna

Other Payment Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 4,199

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

      Time

      Batch Type

    • Program Induction

      6 May, 2024

      08:30 CDT

    • Regular Classes

      11 May, 2024 - 1 Dec, 2024

      08:30 - 12:30 CDT

      Weekend (Sat - Sun)

Got questions regarding upcoming cohort dates?

Purdue Data Science FAQs

  • What are the eligibility criteria for this Professional Certificate Program in Data Science in Washington, D.C.?

    For admission to this Professional Certificate Program in Data Science in Washington, D.C., you should have:

    • A bachelor's degree with an average of 50% or higher marks
    • Basic understanding of programming concepts and mathematics
    • Working Professionals with 2+ years of experience are preferred to apply for this program
       

  • What is the admission process for this Professional Certificate Program in Data Science in Washington, D.C.?

    The admission process consists of three simple steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will shortlist the candidates based on their application
    • An offer of admission will be made to the selected candidates and is accepted by the candidates by paying the program fee

  • What are the financial aids available to enroll in this Data Science certification program in Washington, D.C.?

    We have partnered with Affirm to provide competitive financing options (EMI option available) including 0%APR with no hidden costs for different tenures.

  • Is there any financial aid provided?

    To ensure money is not a barrier in the path of learning we offer various financing options to help you find this Data Science certification program in Washington, D.C. more financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.

  • What should I expect from the Purdue Data Science certification program in Washington, D.C.?

    As a part of this certification program, in collaboration with IBM, you will receive the following:

    • Purdue Professional Certificate Program in Data Science certification
    • Industry recognized certificates from IBM and Simplilearn
    • Purdue Alumni Association membership
    • Lifetime access to all (the core) of the e-learning content created by Simplilearn 
    • $1,200 worth of IBM Cloud credits for your personal use
    • Access to IBM Cloud platforms featuring IBM Watson and other cloud services

  • What certificate will I receive?

    Upon successful completion of the program in Washington, D.C., you will be awarded a Professional Certificate Program in Data Science certification by Purdue University. You will also get industry-recognized certificates from IBM and Simplilearn for the programs on the learning path after successful program completion.

  • Will any preparation material be provided to get started?

    Once you make the first installment of the Data Science certification program fee, you will also get access to a preparatory program. You will have to go through the assigned program before coming for the first class. The program will have 8-10 hours of self-paced learning content in the form of videos.

  • 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.

  • 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

  • Who can assist if the course content is unavailable to me?

    Contact us by filling out the form on the right side of any Simplilearn page, utilizing the Live Chat option, or contacting help and support.

  • 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 Professional Certificate Program in Data Science in Washington, D.C. is offered on a non-credit basis and is not transferable to a degree.

  • What is the salary of a Data Scientist in Washington, D.C.?

    The salary of a Data Scientist in Washington, D.C. is $91,294 per year. However, doing certain certifications to enhance your skill can help you in negotiating for a better salary. Doing a Data Science certification in Washington, D.C. is one way.

  • What are the major companies hiring for a Data Scientist in Washington, D.C.?

    If you have a Data Science certification in Washington, D.C., there are a number of opportunities in the city. Many companies based in the city are looking for candidates who have done a Data Science certification program in Washington, D.C. A few names among the companies hiring Data Scientists are Peraton, Copper River Shared Services, General Dynamics, and Talent Gravity, among others.

  • What are the major industries in Washington, D.C.?

    Some major industries in Washington, D.C. include hospitality and tourism, media and communication, technology and real estate, and construction, among others. While it doesn’t look obvious, most companies from these industries need candidates with Data Science certification in Washington, D.C.

  • Is there a minimal educational need to be considered for this Purdue Data Science Program?

    If you want to participate in this Purdue Data Science Program, 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 2024?

    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

  • 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.

  • 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 Purdue Data Science Program.

  • Will I be able to access the content after completion of the Purdue Data Science Program?

    Yes, even after completing the Purdue Data Science Program, you may access the course content.

  • How to know whether this Purdue Data Science Program is good for me?

    It's always beneficial to learn new talents and broaden your knowledge. This Purdue Data Science Program 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

  • Is it possible to sign up in this Purdue Data Science Program 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 Purdue Data Science Program 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 Purdue Data Science Program?

    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

  • 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 

Post Graduate Program In Data Science, Washington, DC

Washington, D.C. is either called just DC or Washington and is the place where the federal government has its biggest presence. The White House and the U.S. Capitol are both in Washington. The 2020 consensus recorded Washington, D.C. had a population of 689,545, making it one of the top 20 cities with the most population in the country.

Washington, D.C. has teams from the top four professional sports, with the football and soccer teams the most successful among them. Its GDP per capita has regularly been in the top percentile among all the states in the U.S. There are a number of universities in Washington, D.C. as well, including the George Washington University and the John Hopkins University.

Washington, D.C. is home to a number of attractions and landmarks. There are a lot of tourists who make the trip to the city every day to see the many memorials and take a tour of the attractions. Some destinations you must certainly go to while in Washington, D.C. are:

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