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IIITB | Executive Diploma in Data Science and AI Infused with GenAI

.4 - 10 yrs.Anywhere

Fee

INR 3,15,000* Incl. Taxes

Duration

12-15 months

Experience

4 - 10 yrs

Delivery Method

Blended- Online

Largest ML & AI program in India with 8+ Years of Legacy & 10,000+ learners.

Course Detail

The world is at the cusp of Generative AI rapidly changing the world as we know it. At upGrad, we've always believed in imparting learners the skills necessary to thrive in the fast evolving world of technology. We are hence quite thrilled to pioneer Generative AI as an elective in Post

Graduate Programme in Data Science & AI (Executive).

With this key inclusion of Generative AI, learners will delve deeper into the fascinating realm of using Data Science, ML & AI to build practical applications like conversational AI chat bots, image creators, and content recommenders amongst others to solve real-world challenges.

So dive into this brave new world of Generative AI and Large Language Models with us, and watch yourself transform into a 10x ML/AI Engineer

PROGRAM HIGHLIGHTS:

  • Future-Ready Curriculum

  • Personalized Learning Experience

  • Specializations
  • In-Demand Tools

  • Outcome-Driven Learning Experience

  • Best-in-Industry Experts

  • Golden Learning Ratio

  • Hands-on Learning

Desired Candidate Profile

Eligibility: Bachelor's Degree with 50% or equivalent passing marks. No coding experience is required.

Course Modules

Core Curriculum:

  • Advanced Mathematics for Data Science and Machine Learning
  • Advanced Programming for Data Science and Machine Learning
  • Data Analysis and Exploration
  • Cloud Computing and Big Data Fundamentals
  • Foundations of Machine Learning
  • Deep Learning and Natural Language Processing

  • Deployment Fundamentals

Data Analysis Specialization:

  • Advanced Machine Learning
  • Advanced Analytics
  • GenAI for Data Analysis
  • Business Analytics Essentials

Data Engineering Specialization:

  • Large-Scale Distributed Data Processing
  • Data Warehousing Principles and Methodologies
  • Large-Scale Data Pipelining
  • Modern Data Engineering Technologies