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Executive PG Program in Machine Learning and AI from IIIT-Bangalore

PGP in ML and AI

Gain IIITB Alumni status and connect with a global network of accomplished alumni

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IITB
Accredited by IIIT Bangalore

Prerequisites for PGP in ML and AI Course

Prerequisites and Eligibility

OR

Prerequisites and Eligibility
  • 450K+
    Career Transformations
  • 250+
    Workshops Every Month
  • 100+
    Countries

Highlights of PG Program in AI and ML

Achieve Mastery in AI

45+ Live Learning Sessions

600+ Hours of Learning

6 Practical Capstone Projects

15+ Case Studies & Assignments

1:1 Career Mentorship Sessions

IIIT Bangalore Alumni Status

Exclusive Job Opportunities Portal

Daily Doubt Resolution Support

Career Bootcamp and Hackathons

Learn in-demand skills such as ChatGPT, Dall-E, Midjourney, Graph Neural Network (GNN), Generative Adversarial Networks (GANs). Machine Learning, Deep Learning, Natural Language Processing (NLP), MLOps, Computer Vision, Attention, Transformers, BERT, and more. The program covers over 20 programming tools, languages, and libraries.

You will learn through live coding sessions, case studies, assignments, and capstone projects. During this program, you will choose from three electives to customize your learning path. You will also create a portfolio to showcase your work using GitHub. The program is based on practical learning under the guidance of industry experts. You will also get career assistance and also support with interview preparation.

KnowledgeHut has joined hands with upGrad—Asia's EdTech major—to bring you the Executive Post Graduate Program from IIITB, which is recognized and ranked as India's #1 Technical University (Private) by India Today.

Why KnowledgeHut For PG Program in AI and ML

The KnowledgeHut Advantage

Industry Mentors

Receive unparalleled guidance from industry mentors, teaching assistants and graders.

Student Support

Get 24*7 access to student support team for handling your queries via email or callback requests.

Expert Feedback

Personalized feedback on assignments and projects, regular live sessions by experts to clarify doubts.

Doubt Resolution

Timely doubt resolution by industry experts, 100% verified responses to ensure quality learning.

Career Services

Get mentored by an industry expert and receive personalized feedback for your career journey.

Job Opportunities

Gain exclusive access to upGrad's Job Opportunities portal and gain an edge in the application process.

Fee and schedule of PG Program in AI and ML

Tuition Fee and Training Schedule
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Live Online Classroom

Learn In Expert-Led Live Sessions
Solid Experiential Learning
45+ Interactive Live Sessions
600+ Total Learning Hours
6 Hands-On Capstone Projects
15+ Case Studies and Assignments
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Align Skill Development with Business Objectives
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Unlock your potential in AI & ML!

Reviews of PG Program in AI and ML

Our Learners Love Us

Enlightening journey

Completing the program has been an enlightening journey, and I am incredibly grateful for the knowledge, skills, and insights I have gained under your guidance.

Trainer's dedication to excellence was evident throughout the training, from the comprehensive curriculum to the engaging delivery methods and the unwavering support of your instructors. The resources and materials provided were invaluable, and the hands-on exercises truly enhanced my learning experience.

Moreover, the positive and encouraging environment fostered by trainer made every session enjoyable and motivating. Your commitment to the success of your students is truly commendable, and I feel confident that the skills I have acquired will significantly benefit me in my professional endeavors.

Thank you once again for your outstanding training program. It has been a privilege to learn from such knowledgeable and passionate experts. I look forward to applying what I have learned and continuing to grow in my field.

Vishal Gaikwad
Vishal Gaikwad
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Google

Great environment

KnowledgeHut offers an excellent learning environment. They deliver sessions infused with engaging team concepts, making extended periods of learning feel effortless. With real-time experts leading the way, one can easily immerse themselves in the learning process and enjoy a fruitful educational experience. Gratitude to Knowledge Hut for providing such invaluable learning opportunities.

Ganesh
Ganesh
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Google

Insightful learning experience

It was a great and insightful learning experience with knowledgable trainers assisting every single time when in need. The course was well designed to cater the topic.

Shamreen Banu
Shamreen Banu
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Google

Exceptional Learning Journey

My experience with KnowledgeHut has been extremely good. They had all the resources and knowledge bank at one place and their Prism portal is fantastic for learning. I must also mention the quality of the teaching faculty as they were quite patient and approachable during the entire course. I must say that they are doing a commendable job in the area of knowledge at ease. Keep up the good work.

Rohan Madabhavi
Rohan Madabhavi
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Curriculum of PG Program in AI and ML

Curriculum

1. Pre-Program Preparatory Content

Learning Objective:

Learning the basics of Python, SQL, and Mathematics for Machine Learning.

Topics

  • 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 (Optional)
  • Analytics Problem Solving (Optional)
  • Math for Machine Learning

2. Statistics and Exploratory Data Analytics

Learning Objective:

Learn statistical concepts to understand data analysis.

Topics

  • Exploratory Data Analysis
  • Cloud Essentials: Intro to Git and GitHub
  • Investment Assignment
  • Inferential Statistics
  • Hypothesis Testing
  • Lending Club Case Study

3. Machine Learning - I

Learning Objective:

Master foundational regression techniques and model selection.

Topics

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

4. Machine Learning – II

Learning Objective:

Gain expertise in advanced regression, model selection, boosting, and unsupervised learning techniques.

Topics

  • 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

5. Deep Learning

Learning Objective:

Develop skills in neural networks, focusing on CNNs, RNNs, and gesture recognition applications.

Topics

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

6. Natural Language Processing

Learning Objective:

Learn NLP techniques, from lexical to semantic processing, with practical case applications.

Topics

  • Lexical Processing
  • Syntactical Processing
  • Syntactic Processing - Assignment
  • Semantic Processing

Case Study

Classifying Customer Complaint Tickets

7. Elective 1: DL with ML Ops

Learn to streamline and scale deep learning models with MLOps for seamless deployment and management.

Topics

  • Cloud Essentials: Intro to AWS
  • Working with AWS: Case Study
  • MLOps: Introduction

MLOps: Data Lifecycle

MLOps: Model Lifecycle

  • MLOps Assignmnet

Advanced CV

MLOps + Deployment: DL (Theory)

MLOps + Deployment: DL (Assignment)

8. Elective 2: NLP with ML Ops

Learn to build, deploy, and manage NLP models efficiently using ML Ops techniques.

Topics

  • 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)

9. Elective 3: AI Stratergy

Learn to develop and implement effective AI strategies that drive business value.

Topics

  • Cloud Essentials: Intro to AWS
  • Working with AWS: Case Study
  • MLOps: Introduction

MLOps: Data Lifecycle

MLOps: Model Lifecycle

  • MLOps Assignnment

AI Stratergy Framework, Structured problem solving/Data Storytelling

Mapping ML with Data Architecture Strategy

Executive AI Strategy

AI Strategy: Assignment

10. Capstone Project

Learning Objective:

Build real-world projects in recommendation systems, fraud detection, sentiment analysis, forecasting, and GANs.

Projects

  • 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

Who can attend the PG Program in AI and ML

Who This Course Is For?
  • Engineers
  • IT Professionals
  • Data Professionals
  • Software Professionals
Who Should Attend

PG Program in AI and ML FAQs

Frequently Asked Questions
Program FAQs

1. How do I know if this programme is for me?

This programme is for you if you are a:

Data Scientist or Senior Data Analyst: If you are comfortable with data wrangling, have implemented statistical or machine learning models in the past, or if you have any prior experience as a working professional. You should also have some experience with R/Python/Scala.

Statistician: If you received formal education in statistics or mathematics or if you have any prior working experience.

Data Engineer/Big Data Engineer: If you have any prior experience in creating data pipelines/handling data warehouses and you have created ETL procedures. In addition, you should be familiar with various frameworks and tools like Hadoop and Spark.

Software Developer: If you have prior experience on creating and deploying software/apps, you are comfortable with object-oriented programming and know C/C++/Java/Python or a similar language.

2. What is this programme intended to do?

This programme intends to produce extremely well-rounded data scientists and AI professionals with deep knowledge of mathematics, expertise in relevant tools/languages, and understanding of cutting-edge algorithms and applications.

3. Is there any certification at the end of the programme?

Post completion of the programme, an Executive Post Graduate Programme in Machine Learning and AI will be granted from IIIT Bangalore.

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