Purdue University’s six-month Professional Certificate in Data Science and Generative AI is available online through Simplilearn. The course empowers professionals with hands-on skills in Python, agentic AI frameworks, large language models (LLMs), AI automation, and Generative AI tools like ChatGPT, Claude, and Gemini. Featuring live classes, expert masterclasses, and over 25 industry projects, the program equips learners to build practical, industry-ready expertise for careers in data science and AI.
Applied learning is the main focus of the program, and it will make sure that students acquire the skills required by the industries of data science and generative AI:
Data analysis, AI development, and automation with Python programming are the areas of expertise.
Theoretical aspects of statistics, EDA (exploratory data analysis), and data visualization are part of your learning.
Real datasets will be used to train both supervised and unsupervised machine learning models.
Using concepts like neural networks, CNNs, model optimization, and evaluation, you can develop your deep learning skills.
GenAI, Prompt Engineering, working with LLMs, ChatGPT, Claude, Gemini, and other tools are all part of your hands-on Generative AI experience.
Students will learn to use SQL, Power BI, and also work on projects related to computer vision, reinforcement learning, and NLP.
The development of end-to-end solutions is made possible through the completion of more than 25 integrated capstone and domain projects.
The online program, which is available for Rs. 1,69,999, comes with a flexible schedule for live classes on weekends through the internet. It includes the Professional Certificate in Data Science and Generative AI from Purdue University and Simplilearn. Moreover, the students are granted Purdue Alumni eligibility, cv-building assistance, and placement support, making the program perfect for working individuals who aspire to advance their careers in data science, AI, and Generative AI.
Key components of the curriculum include:
Programming Refresher: Strengthen foundational skills in programming and statistics.
Database Management using SQL: Learn database handling, querying, and data storage concepts.
Python for Data Science (IBM): Develop Python proficiency for analytics and AI workflows.
Applied Data Science with Python: Perform real-world data analysis and visualization.
Machine Learning: Implement predictive models using classification, clustering, and regression.
Deep Learning Specialization: Explore neural networks, CNNs, computer vision, and optimization.
Essentials of Generative AI & Prompt Engineering: Understand GenAI tools, LLMs, and ChatGPT.
Generative AI for Data Professionals: Apply GenAI for automation, modeling, and analytics.
IBM Generative AI Skills: Gain industry-recognized exposure through IBM-led sessions.
Data Science Capstone Projects: Solve practical challenges across BFSI, retail, manufacturing, entertainment, and healthcare.
Electives: Power BI, Advanced Deep Learning, NLP, R Programming, and Data Ethics.
Have a High School Diploma/ Bachelor's Degree or equivalent
Basic understanding of programming concepts and mathematics
2+ years of work experience preferred
The Professional Certificate in Data Science and Generative AI program at Purdue University stands out because of its balance of serious academic theory and practice-oriented, industry-focused training. The students get a mixture of Purdue's quality and Simplilearn's student-centered teaching and are then ready for the not-so-distant career paths such as data scientist, data architect, and Generative AI expert.
The Professional Certificate in Data Science and Generative AI at Purdue University provides a practical learning experience with the best instructors and live masterclasses. The students will get the knowledge and skills in Python, machine learning, deep learning, and Generative AI by doing the projects based on real-world situations.
The program is designed to provide a deep understanding, connect with industry leaders, and offer recognized qualifications, thus laying a solid groundwork and an effective route for the development and triumph of a career in the rapidly changing areas of data science and AI.