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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf Study, Virtual ClassroomVideo and Text Based

Course Overview

The Executive PG Programme in Machine Learning & AI is a year-long course. It will help you expand your knowledge of ML and AI through classes from IIIT Bangalore. There are nearly 20 programming languages, tools, and libraries, including NumPy, Pandas, NLTK, matplotlib, and more covered by the course. You are sure to develop skills in Reinforcement Learning, NLP, and Deep Learning.

The course pedagogy for the Machine Learning and AI online course will involve lectures from industry experts. Your classes will be conducted online, and you will be a part of numerous industry projects throughout the course. Additionally, the course has been designed for working professions and thus has an industry-oriented approach to learning. Besides, you can join the course without giving up your job since it offers a flexible experience.

Finishing the Machine Learning and AI programme will grant you IIIT B alumni status. The course will also allow you to attend profile-building workshops. Most importantly, you will earn a certificate and will be able to build your career with new opportunities.

The Highlights

  • 12-month course
  • Online classes
  • IIIT B alumni status
  • Case studies
  • Assignments
  • Profile building workshops
  • Certificate upon completion
  • 450+ hours of content
  • Industry oriented
  • Career mentor
  • Placement assistance
  • Capstone projects
  • 20 Programming Languages covered

Programme Offerings

  • online learning
  • assignments
  • Case Studies
  • Projects
  • Coding classes
  • Capstone Projects
  • Profile Building Workshops
  • Mentoring
  • Certificate
  • IIIT alumni status
  • programming languages

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesIIIT Bangalore
  • The fees for the Machine Learning and AI certificate course will be payable after you receive your offer letter. 

Executive PG Programme in Machine Learning & AI fee structure

Course Name

Fee

Executive PG Programme in Machine Learning & AI

Rs. 2,99,000 (including taxes)


Eligibility Criteria

To join the Machine Learning and AI course, you must have a Bachelor’s degree with a minimum of 50% marks. Additionally, you must have one year of working experience or a degree in Statistics or Mathematics.

Certificate qualifying details

By completing all the course content and assessments, you’ll be eligible for the IIIT B recognition.

What you will learn

Natural Language ProcessingMachine learningData science knowledgeKnowledge of deep learning

After completing the Operation Theatre Technician syllabus, you will have a thorough knowledge of topics such as:


Who it is for

The Machine Learning and AI programme is aimed at working professionals looking for career growth and career transition in Programming. 


Admission Details

Step 1: Visit https://www.upgrad.com/machine-learning-ai-pgd-iiitb/ to start your application process for the Machine Learning and AI PGP.

Step 2: Clear the online Eligibility Test. This will be a 40-minute test with 18 questions. It will determine whether you are ready to take on the programme. 

Step 3: If you clear the Eligibility Test, you will be sent an Offer Letter.

Step 4: Accept the Offer Letter and make an initial payment of Rs. 25,000 to confirm your admission.

Application Details

The Machine Learning and Artificial Intelligence course have an application form that can be accessed on the programme’s webpage. To apply, enter your email id or contact number and select the Start Application tab.

The Syllabus

  • Introduction to Python
  • Python for Data Science
  • Data Visualisation in Python
  • Data Analysis Using SQL (Optional)
  • Advanced SQL and Best Practices (Optional)
  • Data Analysis in Excel
  • Analytics Problem Solving
  • Math for Machine Learning

  • Investment Assignment
  • Hypothesis Testing
  • Exploratory Data Analysis
  • Inferential Statistics
  • Lending Club Case Study

  • Model Selection
  • Logistic Regression
  • Linear Regression
  • Assignment: Linear Regression
  • Naive Bayes

  • Telecom Churn Case Study
  • Unsupervised learning: Clustering
  • Model Selection - Practical Considerations
  • Support Vector Machine (Optional)
  • Advanced Regression
  • Unsupervised Learning: Principal Component Analysis
  • Boosting
  • Tree Models
  • Advanced Regression Assignment

  • Convolutional Neural Networks - Industry Applications
  • Recurrent Neural Networks
  • Introduction to Neural Networks
  • Neural Networks – Assignment
  • Neural Network Project - Gesture Recognition

  • Case Study: Classifying Customer Complaint Tickets
  • Syntactic Processing – Assignment
  • Lexical Processing
  • Semantic Processing
  • Syntactical Processing

  • Cloud Essentials: Intro to AWS
  • Working with AWS: case study
  • MLOps: Introduction
  • MLOps: Data Lifecycle
  • MLOps: Model Lifecycle
  • MLops Assignment
  • Advanced CV
  • MLOps + Deployment: DL (Theory)
  • MLOps + Deployment: DL (assignment)

  • Cloud Essentials: Intro to AWS
  • Working with AWS: case study
  • MLOps: Introduction
  • MLOps: Data Lifecycle
  • MLOps: Model Lifecycle
  • MLops Assignment
  • Advanced NLP
  • MLOps + Deployment: NLP (Theory)
  • MLOps + Deployment: NLP (assignment)

  • Cloud Essentials: Intro to AWS
  • Working with AWS: case study
  • MLOps: Introduction
  • MLOps: Data Lifecycle
  • MLOps: Model Lifecycle
  • MLops Assignment
  • AI Strategy Framework, Structured Problem Solving/ Data Storytelling
  • Mapping ML with Data architecture strategy
  • Executing AI Strategy
  • AI strategy: Assignment

  • Capstone
  • News Recommender System
  • Credit Card Fraud Detection
  • Eye for Blind - (Image Captioning)
  • Sentiment analysis based Product Recommender system
  • Sales forecasting
  • Style Transfer using GAN's

  • Classical Reinforcement Learning
  • Assignment -Classical Reinforcement Learning
  • Deep Reinforcement Learning
  • Reinforcement Learning Project
  • Classical Reinforcement Learning
  • Assignment -Classical Reinforcement Learning
  • Deep Reinforcement Learning
  • Reinforcement Learning Project

Instructors

IIIT Bangalore Frequently Asked Questions (FAQ's)

1: What is the refund policy for the Machine Learning and AI programme?

You can cancel your admission and request a refund before the course commences to the Admissions Counsellor. Your refund will be processed in 30 working days but a processing fee of Rs. 10,000 will be levied.

2: Is taking the eligibility test compulsory?

If you have a degree in Mathematics or Statistics, you do not need to take the eligibility test for the Machine Learning and AI course.

3: Which certificate will I receive at the end of the course?

After completing the Machine Learning and AI programme, you will receive an Executive PG Programme in Machine Learning & AI certificate from IIIT Bangalore.

4: What time is the Student Support available?

The Student Support for the Machine Learning and AI certification is available on all days from 9:00 am to 9:00 pm, IST. 

5: What is the recommended learning time for the Machine Learning and AI course?

You are recommended to devote 15 hours of study to the Machine Learning and AI course per week.

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