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Executive Post Graduate Programme In Machine Learning & AI

IT & Technology

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Enrolment closes on 30 Nov, 2022

Want to know more? enquire now

or call us on 9315055746

  • Duration: 13 Months

  • 30 Nov, 2022

    Start Date

    Equivalent to a 1 year PGD in Canada

Enrolment closes on 30 Nov, 2022

Want to know more? enquire now

or call us on 9315055746

About this course

The Executive Post Graduate Programme in Machine Learning and AI is India's #1 online program as per HRAI rankings, 2021.

This Post Graduate Programme is meant for software developers, IT professionals, statisticians, data analysts or data engineers who plan to get a more formal education in Machine Learning & AI. Upon successful completion of this programme, learners can get job opportunities as data engineers, data scientists, machine learning engineers, and MLOps engineers.

The programme module is designed in such a fashion that makes sure learners become well-rounded data scientists and AI professionals with deep knowledge of mathematics, expertise in relevant tools/languages, and an understanding of cutting-edge algorithms and applications.

The programme will familiarise you with the advancements in ML and AI. Apart from familiarising you with the advancements in ML and AI, the programme will help you understand how to define a structured approach to solve a business problem and equip you with the right tools so that you can transition to a Machine Learning or Data Science role.

Read Less

The Executive Post Graduate Programme in Machine Learning and AI is India's #1 online program as per HRAI rankings, 2021.

This Post Graduate Programme is meant for software developers, IT professionals, statisticians, data analysts or data engineers who plan to get a more formal education in Machine Learning & AI. Upon successful completion... Read More

Get a deeper understanding of

  • Exploratory Data Analytics and Inferential Statistics
  • Data Visualization in Python
  • Syntactic & Semantic Processing
  • Mapping ML with Data Architecture Strategy
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Key skills you’ll learn

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Transformers
  • Cloud and MLOps

Program Starts Soon

Benefits for All Students

Engage in collaborative real-life projects with student-expert interaction. 6 Practical Hands-on Capstone Projects are available

Experience 600+ hours of best-in-class content developed by leading faculty & industry leaders

Get mentored by an experienced industry expert and receive personalised feedback to achieve your desired outcome. Career bootcamps to refresh your technical concepts and improve your soft skills

Creation of portfolio website on Github to boost the learners’ career persona

Choose from the available 3 electives as per your interest. The electives available are DL with MLops, NLP with MLops, and AI Strategy

Engage in collaborative real-life projects with student-expert interaction. 6 Practical Hands-on Capstone Projects are available

Experience 600+ hours of best-in-class content developed by leading faculty & industry leaders

Get mentored by an experienced industry expert and receive personalised feedback to achieve your desired outcome. Career bootcamps to refresh your technical concepts and improve your soft skills

Creation of portfolio website on Github to boost the learners’ career persona

Choose from the available 3 electives as per your interest. The electives available are DL with MLops, NLP with MLops, and AI Strategy

Are You Eligible?

Are You Eligible

Education

  • Bachelor’s Degree with 50% or equivalent passing marks.
  • Minimum 1 year of work experience in a technical domain or a degree in Mathematics or Statistics with programming experience

Syllabus at a Glance

  • 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
  • Exploratory Data Analysis
  • Cloud Essentials: Intro to Git & Github
  • Inferential Statistics
  • Hypothesis Testing
  • Lending Club Case Study
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Advanced Regression
  • Advanced Regression Assignment
  • Support Vector Machine (Optional)
  • Tree Models
  • Model Selection - Practical Considerations
  • Boosting
  • Unsupervised Learning: Clustering
  • Unsupervised Learning: Principal Component Analysis
  • Telecom Churn Case Study
  • Introduction to Neural Networks
  • Convolutional Neural Networks - Industry Applications
  • Convolutional Neural Networks - Assignment
  • Recurrent Neural Networks
  • Neural Network Project - Gesture Recognition
  • Lexical Processing
  • Syntactical Processing
  • Syntactic Processing - Assignment
  • Semantic Processing
  • Case Study: Classifying Customer Complaint Tickets
  • 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

  • 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

  • Exploratory Data Analysis
  • Cloud Essentials: Intro to Git & Github
  • Inferential Statistics
  • Hypothesis Testing
  • Lending Club Case Study

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

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

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

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

  • 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

Learn from the Best Faculty

About The Institute

IIIT Bangalore

International Institute of Information Technology Bangalore (IllT Bangalore), is promoted by the Karnataka government and the IT industry. IllT-Bangalore attracts high-quality students from all over India and abroad to its acclaimed iM.Tech., M. Tech., M.S. by Research and PhD programs. Along with a very distinguished faculty, they pursue research in a unique campus located at Electronic City, the heart of the IT Industry in Bangalore.

The major objectives of the Institute are:

  • To be a specialized centre for higher learning in IT and promote Bengaluru as a global centre of Excellence in IT.
  • To carry out R&D, both on its own account and also based on sponsorship from the Indian and global IT industry.
  • To act as an interface between industry and the academic community.
  • To co-create and commercialize Intellectual Property.
  • To train professionals from industry and government on advanced IT security technologies. 

IllT-B has been conferred the status of Deemed to be a University by the University Grants Commission under section 3 of the UGC Act in 2005. The Institute has also been accredited by the National Assessment and Accreditation Council with the highest grade of A.

The institute has a short but distinguished history of 17 years producing quality post-graduates every year. The 2000+ strong alumni occupy key positions in various corporations, delivering tremendous value to their organizations.

Fee Structure for

Instalment Schedule

Block Payment
INR 21187 + GST Due by: 17 Nov, 2022
Block Payment
USD 0 Due by: 17, Nov, 2022
Balance Payment
INR 232203 + GST Due by: 24 Nov, 2022
Balance Payment
USD 0 Due by: 24, Nov, 2022
OR
Pay for Total Amount
INR 253390 + GST Due by: 30, Nov, 2022
Pay for Total Amount
USD 0 Due by: 30, Nov, 2022

Financial Aid

To learn more about financing your course, visit the course Financial Resources Hub

Why Should You Join a Program Offered Through Talentedge?

  • 95% Completion Rate
  • 92% Satisfaction Score
  • 78% Referablity
  • Online Sessions + Live Lectures

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