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Professional Certificate in Data Science and Generative AI
The Professional Certificate in Data Science and Generative AI equips you with the skills to analyze data and apply generative AI techniques to solve complex problems and drive innovation.
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Updated 11/2025
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Course Description
Experience the excellence of Purdue's academic prowess in data science and generative AI through this Professional Certificate Program. Explore essential topics like Python, ML, deep learning, NLP, data visualization, generative AI, explainable AI, ChatGPT, and more using an interactive learning approach with live sessions led by global experts.
1. Introduction to Data Science and Generative AI
4 Lectures
Foundations of Data Science and Generative AI
Understanding the Data-to-Intelligence Pipeline
Key Concepts: Machine Learning, Deep Learning, and Generative AI
Applications of Generative AI in Data Science
2. Python Programming for Data Science
4 Lectures
Introduction to Python and Its Role in Data Science
Python Data Structures and Control Flow
Working with Libraries: NumPy and Pandas
Data Cleaning and Manipulation Using Python
3. Data Wrangling and Visualization
4 Lectures
Introduction to Data Wrangling and Visualization
Data Cleaning and Transformation Techniques
Exploring Data with Pandas and NumPy
Data Visualization with Matplotlib and Seaborn
4. Statistics and Probability for Data Science
4 Lectures
Introduction to Statistics and Probability Concepts
Descriptive Statistics and Data Summarization
Probability Distributions and Random Variables
Inferential Statistics and Hypothesis Testing
5. Machine Learning Foundations
4 Lectures
Introduction to Machine Learning and Its Applications
Supervised Learning: Concepts and Techniques
Unsupervised Learning and Clustering Methods
Model Evaluation, Validation, and Optimization
6. Advanced Machine Learning and Deep Learning
4 Lectures
Advanced Supervised and Ensemble Learning Techniques
Neural Networks: Architecture and Training Fundamentals
Deep Learning Frameworks: TensorFlow and PyTorch Overview
Convolutional and Recurrent Neural Networks Applications
7. Introduction to Generative AI
4 Lectures
Overview of Generative AI and Its Evolution
Core Concepts and Principles of Generative Models
Types of Generative AI: GANs, VAEs, and Transformers
Applications and Real-World Impact of Generative AI
8. Generative AI for Images, Video, and Audio
5 Lectures
Overview of Generative AI in Multimedia Creation
Image Generation with Diffusion Models and GANs
Video Synthesis and Animation using AI Models
Audio and Speech Generation with Deep Learning
Ethical Use and Future Trends in Generative Multimedia AI
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Frequently Asked Questions
This course provides comprehensive knowledge with practical examples for
beginners and professionals.
No prior experience required. We start with basics and progress to
advanced topics.