iimjobs

.com
Chat

iimjobs
jobseeker Logo
Now Apply on the Go!
Download iimjobs Jobseeker App and get a seamless experience for your job-hunting
Home Courses IIIT Bangalore | Post Graduate Programme in Data Science & AI (Executive)

IIIT Bangalore | Post Graduate Programme in Data Science & AI (Executive)

Dive into a world of opportunities with IIITB’s Post Graduate Program in Data Science & AI

Course Snapshot

  • FeeINR 3,25,000/-
  • Work Experience0 - 8 Years
  • Duration12 Months
  • Delivery MethodBlended- Online

Course Detail

Programme Overview:

The Post Graduate Programme in Data Science & AI (Executive) has been developed with the experienced faculty of IIITB in collaboration with industry experts and upGrad to bring you cutting-edge curriculum with industry relevance. The strong placement network, industry mentorship and the credibility of this Post Graduate Programme (Executive) from IIITB will provide you with just the right push to accelerate your career in Data Science and AI!.

Programme Highlights:

  • Executive PG Programme from IIITB and Alumni Status: Get certified by IIITB and gain alumni status on successful completion of the program.
  • Equivalent to NSQF (National Skill Qualification Framework) level 8: Do an Executive PG Programme from IIITB that satisfies NSQF level 8 criteria.
  • Tools & Languages: Learn 14 + Programming Tools & Languages such as Python, Tableau, MySQL, Keras, Tensorflow and more.
  • 5 Specialisations: Choose from 5 specialisations such as Natural Language Processing, Deep Learning, Business Intelligence/ DataAnalytics, Business Analytics, Data Engineering, based on your background and career aspirations and get the learning you want.
  • Blended Learning: Learn with the ease and flexibility of recorded sessions as well as live sessions, designed to ensure a wholesome learning experience.

Desired Candidate Profile

  • Bachelors or Master's Degree or its equivalent in any discipline with minimum 50% aggregate mark or equivalent CGPA.

Course Modules

Course 1: Data Toolkit

  • Data analysis in Excel
  • Programming in Python
  • Python for Data Science
  • Data visualization in Python
  • Exploratory data analysis
  • Credit EDA Case study
  • Inferential Statistics
  • Hypothesis Testing (1 week)
  • Data analysis using SQL
  • Advanced SQL & best practises
  • SQL assignment

Course 2: Machine Learning I I

  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Classification Using Decision Trees
  • Unsupervised Learning: Clustering
  • Basics of Nlp and Text Mining
  • Business Problem Solving
  • Case Study: Lead Scoring

COURSE 3: MACHINE LEARNING II

  • Bagging & random forest
  • Boosting
  • Model selection & general ml techniques
  • Principal component analysis
  • Advanced regression
  • Time series forecasting optional
  • Advanced ml case study

Course 4: Advanced Machine Learning and Deep Learning

  • Introduction to neural networks and ann
  • Convolutional neural networks
  • Convolutional neural networks -industry applications
  • Object detection & image segmentation
  • Recurrent neural networks (optional)
  • Gesture recognition

Course 5: Generative AI

  • Attention mechanisms and transformer architectures
  • Introduction to gen ai and working with openai apis
  • Chatbot system design + shopassist AI
  • Semantic searches, vector databases, rag with llamaindex
  • Diffusion models + pixxelcraft AI
  • Course project: helpmate ai + langchain (optional)

Course 6: capstone project

  • An Overview of the Domain and Associated Concepts
  • Problem Statement
  • Evaluation Rubric
  • Mid Submission
  • Final Submission
  • Solution