• Application closes on

    9 May, 2025
  • Program duration

    6 months
  • Learning Format

    Live, Online, Interactive

Why Join this Program

Corporate Training

Enterprise training for teams

    Learning Path

    • 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.

      • Master procedural & OOP in Python.
      • Understand Python's benefits.
      • Install Python & its IDE.
      • Familiarization with Jupyter Notebook.
      • Implement identifiers, indentations, & comments effectively.
      • Grasp Python's data types, operators, & string functions.
      • Learn various loops in Python.
      • Explore variable scope in functions.
      • Explain OOP principles & characteristics.
      • Understand databases & relationships.
      • Use query tools & SQL commands.
      • Master transactions, table creation, & views.
      • Execute complex stored procedures.
      • Acquire expertise in SQL filtering, grouping, joins, etc.
      • Explore SQL functions: string, math, date, and pattern matching.
      • Ensure database security with access control functions.
      • Gain Python skills for data science.
      • Write Python scripts proficiently.
      • Perform hands-on data analysis.
      • Utilize Jupyter-based lab environment.
      • Explore data prep, modeling, & evaluation.
      • Master NumPy, array indexing, slicing.
      • Understand skewness, covariance, correlation.
      • Describe null & alternative hypotheses.
      • Examine Z-test, T-test, ANOVA.
      • Utilize pandas' Series & DataFrame.
      • Create visualizations with Matplotlib, Seaborn, Plotly, and Bokeh.
      • Explore diverse ML types & applications.
      • Understand ML pipeline & supervised learning.
      • Learn regression models & classification algorithms.
      • Cover unsupervised learning & clustering techniques.
      • Evaluate frameworks: TensorFlow, Keras.
      • Build a recommendation engine with PyTorch.
      • Deploy deep learning tools with AI/ML frameworks.
      • Explore fundamental concepts & practical applications.
      • Understand deep learning vs. machine learning.
      • Cover neural networks, propagation, TensorFlow 2, Keras.
      • Learn performance improvement & interpretability.
      • Study CNNs, transfer learning, RNNs, and autoencoders.
      • Create neural networks in PyTorch.
      • Build & optimize models with Keras & TensorFlow.
      • 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.
         
      • Explore generative AI's role in data science.
      • Learn its applications across industries.
      • Overcome lifecycle challenges with generative AI.
      • Leverage it for data understanding & model building.
      • Master industry-specific EDA tools & techniques.
      • Develop skills for success in data science.
      • Learn to leverage generative AI for data challenges and workflows.
      • Gain hands-on experience with real-world applications.
      • Explore tools like GANs and VAEs for data preparation and augmentation.
      • Focus on exploratory analysis, predictive modeling, and industry challenges.
      • Refine data science skills with practical generative AI applications.
      • Complete a guided project to apply AI techniques to real-world problems.
      • Benefit from labs, expert insights, and an ethical framework.
    • 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.

      • 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
      • Analyze data for valuable business insights with Power BI
      • Create interactive dashboards for effective decision-making
      • Enhance operational efficiency
      • Develop dashboards from published reports
      • Utilize Quick Insights for rapid data pattern discovery
      • Adopt practical approaches within Power BI
      • Dive deep into computer vision.
      • Master advanced Deep Learning techniques.
      • Cover image formation and processing.
      • Learn CNNs, object detection, and segmentation.
      • Study generative models, OCR.
      • Explore distributed, parallel computing.
      • Understand Explainable AI (XAI).
      • Deploy deep learning models effectively.
      • Tackle complex vision challenges.
      • Explore applying ML to natural language data.
      • Focus on natural language understanding.
      • Learn feature engineering for NLP.
      • Study natural language generation.
      • Cover automated speech recognition.
      • Master speech-to-text & text-to-speech conversion.
      • Build voice assistance devices & Alexa skills.
      • Acquire advanced NLP & speech recognition skills.
      • Tackle sophisticated challenges in language & speech applications.
      • Gain a comprehensive understanding of data ethics.
      • Explore relevance, legal frameworks & privacy.
      • Address security protocols & biases.
      • Learn decision-making & visualization practices.
      • Understand the societal impacts of data analytics.

    16+ Tools Covered

    pythonRMySQLFSDNumPySciPypandasMatPlotlibSeaborntensorflowkerasPowerBIChatGPTGeminiDalle.2Julius.aiZapier

    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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      Data Science and GenAI Program FAQs

      • What does a Data Science professional do?

        A Data Scientist identifies the business issues that need to be answered and then develops and tests new algorithms for quicker, more accurate, and large-scale data analytics utilizing a range of technologies such as Tableau, Python, Hive, and others. A professional who has majored in Data Science also collects, integrates, and analyzes data to acquire insights and reduce data issues so that strategies and prediction models may be developed. The applications of data science span many of the top industries of today, including technology, finance and healthcare. For more information on what a data science professional does, refer to our article.

      • What influence will Data Science have in 2025?

        Given the vast volumes of data created today, data science will continue to be an emerging field essential for any company. With advancements in cutting-edge areas like AI and machine learning, data science will increasingly influence business decision-making, particularly in areas of automation, business operations and growth. From personalizing customer experiences to new product development and process optimization, data science will continue to play a critical role. As a result, the need for qualified Data Scientists will continue to increase multifold in today’s biggest industries. Read more about this in our article about the data science trends that are shaping business and industry in 2025.

      • What are the benefits of enrolling into the PC Data Science and Generative AI Program in collaboration with Purdue University?

        Simplilearn’s PC data science and generative AI program in collaboration with Purdue University, is one of the most sought-after certifications created by leaders in academia and industry experts. This training program enables you to stand out from the crowd and get the attention of top data science employers. The curriculum provides a great mix of theoretical understanding and hands-on experience. With unique hackathons and project-based learning with Amazon, Uber, and Comcast datasets, to name a few of the exciting features of this program, you will have everything you need to make a strong foray into the field of data science today.

      • Who are the instructors for this PC Data Science and Generative AI Program in collaboration with Purdue University, and how were they selected?

        We have partnered with only the most highly qualified instructors for this PC Data Science and generative AI program in collaboration with Purdue University. Our rigorous selection process includes profile screening, technical evaluation, and a training demo. We also ensure that only trainers with a high alumni rating remain on our faculty.

      • How do I enroll in the Professional Certificate in Data Science and Generative AI?

        The application process for this Professional Certificate in Data Science and Generative AI involves three steps. 

        • First, candidates must submit an application detailing their motivation for the course. 
        • Next, an admission panel will review the applications and shortlist candidates based on their submissions. 
        • Finally, selected candidates can begin this PC Data Science program within 1-2 weeks. 

        Please note that upon selection, candidates must pay the course fee using any preferred payment option available before beginning their learning journey.

      • What is the salary range one can expect after earning a Data Science and Generative AI Certificate?

        Data Science and GenAI jobs provide many opportunities for success with high-paying incomes. Based on experience, region, and employer, India's typical average Data Scientist compensation is INR 978,217 annually. (according to PayScale). The average annual wage in the United States is $100,507.

      • I don't have any technical background. Can I still apply to this Professional Certificate in Data Science and Generative AI?

        Yes, even if you have no technical expertise, you may enroll in this Professional Certificate in Data Science and Generative AI in collaboration with Purdue University. A rudimentary understanding of programming languages and mathematics, on the other hand, will be advantageous.

      • 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.

      • Will there be any material provided to help you get started with this Professional Certificate in Data Science and Generative AI?

        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 is covered under the 24/7 Support promise?

        We offer 24/7 support through chat for any urgent issues. For other queries,we have a dedicated team that offers email assistance and on-request callbacks.

      • What is the refund policy for this Data Science and Generative AI Program?

        To learn more about cancellation and refund, you can view our refund policy.

      • Are there any other online courses Simplilearn offers under Data Science?

        Absolutely! Simplilearn offers plenty of options to help you upskill in Data Science. 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 Data Science field.

        Similar programs that we offer under Data Science:

      • 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.

      • What will be the career path after completing the Professional Certificate in Data Science and Generative AI?

        This Professional Certificate in Data Science and Generative AI, in collaboration with Purdue University, is one of the top-rated data science certifications globally. Once completed, the certification will pave the path for you to pursue roles such as Data Scientist, Machine Learning Engineer, Data Analyst, or Business Intelligence Analyst. This program equips you with skills in data manipulation, statistical analysis, machine learning, and more, making you valuable across sectors like tech, finance, healthcare, and e-commerce. With experience and continuous learning, you could move into senior positions like Data Science Manager, Lead Data Scientist, Chief Data Officer, or senior roles in AI and Deep Learning.

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

        Data science is a tremendous professional path with various potential progression opportunities. 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 Data Science Program in collaboration with Purdue University, will provide you with all the necessary skills needed to kickstart a successful data science profession. 

        Read More: The Future of Data Science

      • Will I become an alumni of Purdue University after completion of this Purdue Data Science and Generative AI Program?

        Based on successful completion of this program, you will be eligible for the Purdue University Alumni Association membership.

      • Does Simplilearn have corporate training solutions?

        Yes, Simplilearn for Business offers learning solutions for the latest AI and other digital skills, including industry certifications. For talent development strategy, we work with Fortune 500 and mid-sized companies with short skill-based certification training and role-based learning paths. We also offer a learning library with unlimited live and interactive solutions - Simplilearn Learning Hub+, which is accessible to your entire workforce. Our team of curriculum consultants works with each client to select and deploy the learning solutions that best meet their teams’ requirements.

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

        Yes, Simplilearn’s Professional Certificate in Data Science and Generative AI, offered in collaboration with Purdue University, 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 University 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.

      • 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.