• Admission closes

    Mar 14, 2025
  • Program Duration

    6 months
  • Learning Format

    Live, Online, Interactive

Key Features

  • Purdue’s Prestige and Academic Eminence

    Program certificate from Purdue University Online and Simplilearn

    Become eligible for a membership at the Purdue University Alumni Association

  • Gain Generative AI Mastery

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

    Gain exposure to ChatGPT, Gemini, Claude, and other prominent tools

  • Real-World Practical Application

    Apply concepts to 25+ real-world projects with access to integrated labs

    8X higher live interaction with capstone projects in 3 industry domains

  • Simplilearn Career Service

    Strengthen your resume and get career guidance from industry specialists

    Attend mock interview sessions to help you ace the hard technical questions

Days
Hours
Minutes
Seconds

GET PROGRAM DETAILS

Corporate Training

Enroll your employees into this program, NOW!

Talk to an Advisor

Toll Free : +1-844-532-7688

Career Opportunities After Data Science Training

  • Data Scientist
  • Data Architect
  • Generative AI Specialist

A Data Scientist collects, analyzes, and interprets complex data to inform business decisions. They employ statistical techniques, machine learning, and data visualization to uncover insights and trends. Strong programming, data manipulation & domain knowledge are crucial for success in this role

Hiring Companies
PricewaterhouseCoopers
Ernst & Young
Amazon
Hewlett-Packard
JP Morgan Chase
Microsoft
Average Salary
$60KMin
$126KAverage
$220KMax

Essentials Skills You will Develop

  • Computer Vision
  • Data Visualization
  • Deep Learning
  • Descriptive Statistics
  • Ensemble Learning
  • Explainable AI
  • Exploratory Data Analysis
  • Generative AI
  • Inferential Statistics
  • Machine Learning Algorithms
  • Model Building and Finetuning
  • Model Evaluation and Validation
  • Model Training and Optimization
  • Natural Language Processing
  • Prompt Engineering
  • Reinforcement Learning
  • Speech Recognition
  • Supervised and Unsupervised Learning

Earn Professional Certifications

This Professional Certificate in Data Science and Generative AI is an all-encompassing program that leverages Purdue’s academic excellence in data science and generative AI and Simplilearn’s partnership with IBM.

Program Certificate
Program Certificate
  • Program certificate from Purdue University Online and Simplilearn
  • Masterclasses delivered by Purdue faculty and staff
  • Gain exposure to Generative AI, ChatGPT, LLMs, and more
  • Become eligible for a membership at the Purdue Alumni Association
IBM Certificate
IBM Certificate
  • Industry-recognized IBM certificates for IBM courses
  • Industry masterclasses conducted by IBM
  • Exclusive hackathons and Ask-Me-Anything(AMA) sessions with IBM
prevNext

Data Science and GenAI Course Curriculum

Propel your career forward by embarking on a carefully designed learning journey that covers GenAI, prompt engineering, Python, data analysis, machine learning, deep learning, and more. With hands-on projects and industry-standard tools, you will be well-prepared to tackle real-world challenges.

  • Get started with the Professional Certificate in Data Science and Generative AI 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.

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

  • Join this course to gain vital skills for proficiently handling SQL databases in your applications. You'll grasp SQL statements, conditional statements, commands, joins, subqueries, and functions, enabling effective management for scalable growth.

  • The course provides 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 course equips you with skills to deploy deep learning tools using AI/ML frameworks. It ensures a solid foundation by covering fundamental concepts, neural networks, TensorFlow 2, Keras, CNNs, RNNs, and more. By the end of the course, you'll proficiently build and optimize models with Keras and TensorFlow.

  • 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.

  • Explore the crucial role of generative AI in data science, spanning various industries from data generation to analysis. Overcome lifecycle challenges, gain insights into leveraging generative AI, and master industry-specific tools for successful data science endeavors.

  • This course empowers data scientists, analysts, and engineers to harness generative AI for solving data challenges and enhancing workflows. You will explore tools and models like GANs and VAEs, apply generative AI for data preparation, augmentation, and predictive modeling, and address industry-specific challenges. By the end of the course, you will gain hands-on experience and be ready to apply generative AI techniques to real-world data science projects.

  • The data science and machine learning capstone project provides a unique opportunity to apply skills in real-world scenarios. Guided by industry mentors, you'll address industry challenges, from data processing to presenting results. Using Python or SAS, implement regression, decision trees, and AI algorithms for accurate models. Ensure model robustness with k-fold cross-validation. Utilize Tableau for insightful result visualization.

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.

  • 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.

  • Leverage Power BI to extract valuable business insights through data analysis. Craft interactive dashboards to facilitate informed decision-making. Streamline operations for enhanced efficiency. Construct dashboards from published reports and utilize Quick Insights for swift data pattern identification. Embrace pragmatic methodologies within Power BI.

  • Delve into an immersive course on computer vision, mastering advanced Deep Learning methods. From image processing to CNNs and object detection, explore every facet. Dive into generative models, OCR, and distributed computing. Understand Explainable AI and deploy models adeptly to tackle diverse vision challenges.

  • Embark on a dynamic course delving into ML applied to natural language data. Learn the intricacies of natural language understanding, feature engineering, and generation. Master automated speech recognition, including speech-to-text and text-to-speech conversion. Create voice assistance devices and Alexa skills. Develop advanced NLP and speech recognition abilities to address complex challenges in language and speech applications.

  • Immerse yourself in a course on data ethics, covering relevance, legal frameworks, and privacy concerns. Delve into security protocols, biases, and visualization techniques. Grasp decision-making practices and comprehend the societal impacts of data analytics.

Contact Us

+1-844-532-7688

( Toll free )

Request More Information

16+ Tools Covered

python
R
MySQLFSD
NumPy
SciPy
pandas
MatPlotlib
Seaborn
tensorflow
keras
PowerBI
ChatGPT
Gemini
Dalle.2
Julius.ai
Zapier

Industry Project

Data Science and GenAI Course Program Advisor

Program Trainers

Still have questions?

Our dedicated team is prepared to answer them.

Hear it from our Alumni

Data Science and GenAI Course Fee

Program Fee $ 3,800

Pay in Installments

As low as

You can pay monthly installments using Splitit or Klarna.These plans are offered with low APR and no hidden fees.

Program Cohorts

Who Is This Program For?

How to apply For Data Science and GenAI Course

  • 1
    Submit Application

    Tell us why you want to enroll in this Data Science and GenAI Program.

  • 2
    Reserve Your Seat

    Complete your payment to reserve your admission

  • 3
    Start Learning

    Selected candidates can start learning as per the cohort date.

Start Application

Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service that helps 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

30-day premium subscription to career.io

30-day premium subscription to career.io

Demand for Data Science and GenAI Course in 2025

Regardless of their size or industry, organizations are increasingly leaning into data-driven insights and AI technologies to inform their strategic decisions. This shift has consequently propelled the demand for adept data science and generative AI professionals to an unprecedented level. According to the "Jobs of Tomorrow: Mapping Opportunity in the New Economy" report by the World Economic Forum, data science, artificial intelligence, and their associated roles are projected to be among the most in-demand job categories in the coming years.

Our Professional Certificate in Data Science and Generative AI is strategically designed to prepare you for this data-centric and AI-driven future. With an extensive curriculum encompassing data visualization tools, Python, SQL, generative AI techniques, and hands-on projects, you'll meet and exceed industry demands. Upon completing this program, you'll become an indispensable asset, poised for a successful and lucrative data science and generative AI career. Join this program to embark on your journey to becoming a sought-after data and AI professional.

Demand for Data Science and GenAI Course in 2025

Data Science and GenAI Course FAQs

  • What is a data science and generative AI course?

  • What will be the expected salary range after completing this data science and generative AI course?

  • What does a data scientist do?

  • What are the main features of the DS and GenAI program in collaboration with Purdue University?

  • What are the benefits of enrolling in Purdue DS and GenAI course in partnership with Simplilearn?

  • Who are the instructors for this data science and generative AI course, and how were they selected?

  • What will be the career path after completing the data science course?

  • Do I need to be a Purdue student to apply for the data science course?

  • How is the Purdue data science course different from other options?

  • How does the data science program, in collab with Purdue, prepare students for real-world problems?

  • Will any preparation material be provided to help me get started?

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

  • Can I keep working while studying for the data science program in collab with Purdue University?

  • Is any financial aid provided for this Professional Certificate in Data Science & Generative AI?

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

Other programs you may be interested in

Purdue and Simplilearn Partnership

Purdue and Simplilearn Partnership