Post Graduate Diploma

PGD in Applied AI, Data Engineering & Intelligent Systems

This comprehensive 1-year postgraduate diploma is meticulously designed to bridge the gap between academic theory and industry demand. It equips learners with high-level expertise in Artificial Intelligence, Machine Learning, Data Engineering, and Generative AI through a combination of rigorous mathematical foundations and hands-on, project-based learning.

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What You'll Learn

Master real-world problem-solving methods and implement ethical AI practices.
Build scalable data pipelines and manage big data architectures using ETL and ELT concepts.
Train and optimize advanced Machine Learning and Deep Learning models.
Develop Generative AI applications using Large Language Models (LLMs) and prompt engineering.
Use Cloud AI and MLOps to move AI solutions into production environments.

Course Curriculum

  • Module 1: AI Thinking & Real-World Intelligence
  • Module 2: Math for Machine Learning & Smart Analytics
  • Module 3: Big Data Engineering & Smart Data Pipelines
  • Module 4: Machine Learning & Predictive Intelligence

  • Module 5: Deep Learning & Computer Vision Mastery
  • Module 6: AI Agents & Decision-Making Systems
  • Module 7: Cloud AI, MLOps & Scalable Systems
  • Module 8: Generative AI, LLMs & Industry Capstone

Who is this for?

Intended Learners
  • Individuals looking to master Artificial Intelligence, Machine Learning, Deep Learning, and Data Engineering.
  • Professionals who want to move into specialized roles such as MLOps, Cloud AI, or Generative AI development.
  • Those aiming to transition from traditional software development to building intelligent agents and scalable AI production workflows.
  • Individuals interested in learning to build scalable data pipelines and manage complex big data architectures.
  • Learners who want to master cutting-edge technologies like Large Language Models (LLMs) and prompt engineering.
  • Those who wish to apply mathematical and statistical foundations to solve real-world problems through an end-to-end industry capstone project.
Requirements
  • Tech professionals, software engineers, data enthusiasts, and graduates looking to specialize in the rapidly evolving field of AI and Data Engineering.
  • A background in a relevant field (Science, Engineering, or IT) is recommended given the curriculum's focus on mathematical foundations , programming, and data management.