About Course

Overview

The Professional Certificate in Data Science and Generative AI is an advanced, industry-focused program designed to equip learners with both core data science expertise and the latest skills in generative AI. This program blends traditional analytics, machine learning, and AI foundations with cutting-edge techniques in large language models (LLMs), generative adversarial networks (GANs), and prompt engineering.

Learners will gain practical, hands-on experience through projects, real-world datasets, and AI-driven applications—preparing them for high-demand careers in data science, AI engineering, research, and innovation.


Course Details

  • Duration: 6–9 months (flexible, depending on pace)

  • Mode of Learning: Online / Classroom / Blended

  • Assessment: Assignments, projects, quizzes, and final capstone project

  • Tools & Technologies Covered: Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI API, LangChain, Tableau, SQL

  • Certification Body: University/Institute or EdTech Partner

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What Will You Learn?

  • Master data science fundamentals including statistics, machine learning, and data visualization
  • Build, train, and optimize deep learning models
  • Work with Generative AI models like GANs, VAEs, and diffusion models
  • Apply LLMs for NLP, automation, and conversational AI
  • Use prompt engineering to design effective AI outputs
  • Implement real-world projects that combine analytics with AI-driven innovation

Course Content

Module 1: Foundations of Data Science

  • Introduction to Data Science lifecycle
  • Data collection, cleaning, and preprocessing
  • Probability, statistics, and hypothesis testing
  • Exploratory Data Analysis (EDA) with Python and R

Module 2: Machine Learning Essentials

Module 3: Deep Learning & Neural Networks

Module 4: Generative AI Fundamentals

Module 5: Large Language Models (LLMs) & Prompt Engineering

Module 6: Applied Generative AI

Module 7: Data Visualization & Business Intelligence

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