P O S T G R A D U AT E P R O G R A M I N
NOW FEATURING CHATGPT AND GENERATIVE AI MODULES
140+
5 YEARS OF
EXCELLENCE
SUCCESSFUL
BATCHES
ABOUT THE PROGRAM
Today, AI technology is poised to reshape our
world at an unprecedented pace. Our
commitment has always been to empower
learners, ensuring they are well-prepared to
thrive amidst this rapid evolution. The PG
Program in Artificial Intelligence and
Machine Learning is meticulously designed to
equip you with the skills needed to excel in the
workforce. Through a blend of academic rigor,
comprehensive learning resources, and
collaborative peer engagement, the program
offers unparalleled flexibility without
compromising quality.
Guided by insights from industry experts,
esteemed academicians, and successful alumni,
the PGP-AIML stands as the ultimate catalyst
for a rewarding career in Artificial Intelligence.
11 Mn+ 170+ 7000+ 3600+
Learners Countries Industry Experts Companies Hire From Us
Best Ed-tech Best Ed-tech
Company Company
of the Year* Best Online Skills of the Year*
Indian Education Provider of the Year* EdTech Review
Awards 2022 Awards 2020
Entrepreneur, Education
Innovation Awards 2022 02
WHAT MAKES THE PGP-AIML UNIQUE?
LATEST AI/ML TECHNOLOGIES HANDS-ON PROJECTS
The program covers the latest AI/ML The program includes 10 hands-on
technologies including deep learning, projects (9 graded + 1 optional) and 1
computer vision, NLP Reinforcement Capstone Project. Additionally, it also
Learning, neural network, includes 40+ case studies from different
TensorFlow, Generative AI like industry verticals and 40+ quizzes
ChatGPT and many more. (30 graded + 10 optional)
to reinforce conceptual and practical
understanding.
GITHUB PROFILE DESIGNED BY EXPERTS
As part of this program, you will be making all The program is designed by
of your submissions on Github. Github is an leading academic and
online repository which helps you store all the industry experts along with
projects and assignments you have done as IIT-Bombay faculty.
part of this program in a single place. Today,
most companies look at potential recruits'
Github profiles to check their technical
expertise before hiring them.
5 YEARS OF DELIVERING EXCELLENCE
3.5 99% 4.8
Out of 4 Overall Sessions Rated 4 and Out of 5 Average
Program Rating Above Out of 5 Session Rating
03
PROGRAM PEDAGOGY
Program Delivery Industry Perspective
Lectures
The program is delivered in an online
format with weekend mentorship sessions This is an important component of the
that span over 12 months. program that complements and
substantiates learning with an applied
orientation. The participants get the
opportunity to listen to eminent speakers
Online-Learning
Management System from leading Artificial Intelligence and
Machine Learning companies and
All candidates have access to the online assimilate the best practices discussed by
LMS that hosts content (lecture recordings, them in their lectures.
discussion forums, assignments, reading
material) and live webinars to enable the
candidates to continue their learning during
campus. The LMS provides an innovative
Experiential Learning
learning environment that encourages
collaborative approach between the This program is designed to transform
candidates thus paving the way for candidates to business-ready Artificial
maximizing learning effectiveness. Intelligence and Machine Learning
professionals through hands-on
experiential learning of relevant tools.
This is achieved through hands-on labs,
Capstone Project practice exercises, hackathons, quizzes
All candidates would be pursuing an and assignments on software packages
application-oriented Capstone Project in such as Python, NLP and Deep Learning.
the field of Artificial Intelligence and
Machine Learning. The project shall be
mentored and evaluated by faculty from
Great Lakes Institute of Management or
industry experts. The project will be
presented to the faculty board as part of
the requirement for successful
completion of the program.
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PROGRAM CURRICULUM
PYTHON BOOTCAMP FOR NON-PROGRAMMERS
This bootcamp serves as a training module for learners with limited or no programming exposure. It
enables them to be at par with learners who have prior programming knowledge before the
program commences. This is an optional but open-to-all module. More than 1000 learners have
successfully leveraged it to create a strong foundation of programming knowledge necessary to
succeed as an AI/ML professional.
GENERATIVE AI PRE-WORK
Get an overview of Generative AI, ChatGPT, and how it works. Delve into the business applications
of ChatGPT and an overview of other Generative AI models/tools via demonstrations.
ChatGPT and Generative AI - Overview
ChatGPT - Applications and Business
Breaking Down ChatGPT
Limitations and Beyond ChatGPT
Generative AI Demonstrations
FOUNDATION COURSES
INTRODUCTION TO PYTHON
Python Programming Fundamentals
MODULE 1 Data Manipulation and Analysis with NumPy and Pandas
Data Visualization with Seaborn and Matplotlib
Exploratory Data Analysis
Data Preprocessing
APPLIED STATISTICS
Introduction to Probability
Probability Distributions (Binomial Distribution, Normal
Distribution, Uniform Distribution)
Sampling
MODULE 2
Central Limit Theorem
Point Estimation and Confidence Intervals
Introduction to Hypothesis Testing (Null and Alternative
Hypothesis, P-value, One-tailed and Two-tailed Tests)
Common Statistical Tests (Z-test, T-test, Chi-square Test
of Independence, ANOVA)
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MACHINE LEARNING
SUPERVISED LEARNING
Simple Linear Regression
MODULE 1 Multiple Linear Regression
Logistic Regression
KNN Classifier
Naive Bayes Classifier
Support Vector Machines
ENSEMBLE TECHNIQUES
Decision Trees
MODULE 2 Random Forests
Bagging
Boosting (AdaBoost, Gradient Boosting, XGBoost)
UNSUPERVISED LEARNING
K-means Clustering
MODULE 3 Hierarchical Clustering
Introduction to Dimensionality Reduction
PCA
FEATURISATION MODEL SELECTION AND TUNING
Feature Engineering
K-fold Cross-Validation
Oversampling and Undersampling
MODULE 4 Regularization
Data Leakage
Hyperparameter Tuning
GridSearchCV and RandomizedSearchCV
ML Pipeline
INTRODUCTION TO SQL
Introduction to Databases and SQL
Fetching data in SQL
Filtering data in SQL
MODULE 5 SQL In-Built Functions (Numeric, Date, String)
Aggregating data in SQL
Joins
Window Functions
Subqueries
Normalization
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ARTIFICIAL INTELLIGENCE
NEURAL NETWORKS AND DEEP LEARNING
Introduction to Neural Networks
Multi-Layer Perceptron
Activation and Loss Functions
MODULE 1 Gradient Descent and Backpropagation
Optimizers
Weight Initialization
Regularization (Dropout, Batch Normalization)
Deep Neural Networks
COMPUTER VISION
Introduction to Computer Vision
Image Representation and Processing
Convolutional Neural Networks
MODULE 2
Transfer Learning and Common CNN Architectures
Regularization in CNNs
Object Detection
Image Segmentation
NATURAL LANGUAGE PROCESSING AND GENERATIVE AI
Introduction to Natural Language Processing
Text Processing
Sentiment Analysis
Word Embeddings (Word2Vec, GloVe)
Semantic Search
MODULE 3 Introduction to Attention Mechanism and Transformers
Different Transformer Architectures
Large Language Models
Generative AI
Prompt Engineering
Broad Strategies for Prompt Design (Template-based
Prompts, Instructional Prompts, Iterative Prompts,
Chain-of-Thought Prompts, Ethically-aware Prompts)
Hugging Face and Open-source LLMs
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ADDITIONAL MODULES: LEARN AT YOUR OWN PACE
INTRODUCTION TO DATA SCIENCE AND AI
The fascinating history of Data Science and AI
Transforming Industries through Data Science and AI
The Math and Stats underlying the technology
Navigating the Data Science and AI Lifecycle
MLOPS
Introduction to Model Deployment
Model Serialization - Pickling
Batch Mode and Flask
Docker and Kubernetes
RECOMMENDATION SYSTEMS
Intro to Recommendation Systems
Market Basket Analysis
Popularity-Based and Content-Based Recommendation Systems
Collaborative Filtering
Hybrid Recommendation Systems
VISUALIZATION USING TENSORBOARD
Tensorboard
Visualizing Weights, Bias, and Gradients
Occlusion Experiment
Saliency Paps
Neural Style Transfer
GANS (GENERATIVE ADVERSARIAL NETWORKS)
Introduction to GANs
Working of GANs
KL & JS Divergence
Types of GANs
Evaluating GANs
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TIME SERIES FORECASTING
Introduction to Time Series
Forecasting Models
Exponential Smoothing
Stationarity
Autoregressive Models (ARMA, ARIMA, SARIMA)
REINFORCEMENT LEARNING
Introduction to Reinforcement Learning
Reinforcement Learning Framework
Q-learning
Exploration vs Exploitation
SARSA Algorithm
DEMYSTIFYING CHATGPT, OVERVIEW AND APPLICATIONS OF GENERATIVE AI
Introduction to Generative AI
Discriminative AI vs Generative AI
Introduction to Large Language Models
Generative AI Demonstrations (Bing Images, ChatGPT)
Overview of ChatGPT
ChatGPT - Applications and Business
Breaking Down ChatGPT
Limitations and Beyond ChatGPT
CHATGPT: THE DEVELOPMENT STACK
Demystifying Generative AI
Overview of Natural Language Processing
RNNs and LSTMs for NLP
Transformers in NLP
Large Language Models for Next Word Prediction
Evolution of OpenAI GPT Models
OpenAI GPT Models Training Process
Recipe for High-Quality Chat Assistants
Prompt Engineering vs Retrieval-Augmented Generation vs Fine-Tuning
Hands-on ChatGPT Prototype Creation
09
TOOLS AND MORE
15+ Languages
Transformers
and Tools Covered
and many more.
10
GENERATIVE AI WITH HUGGING FACE
Hugging Face is a platform where the machine-learning community collaborates on models,
datasets, and applications. It allows users to build, train, and deploy Machine Learning and AI
models by leveraging the models and datasets shared by the community and also test and share
their work openly.
One of the key components of the Hugging Face platform is the Transformers library. This
open-source Python library provides access to thousands of pre-trained transformers and Large
Language Models (LLMs) for Natural Language Processing (NLP) and Computer Vision (CV).
In this program, you’ll use the Transformers library to access and use state-of-the-art LLMs for
various tasks like text classification, question-answering, summarization, text generation, sentence
similarity, and more.
PROJECTS
1. FoodHub Order Analysis Using Python
Improve a food aggregator company's efficiency by analyzing data and deriving valuable insights
to address significant challenges.
Skills Acquired: Python, Numpy, Pandas, Seaborn, Univariate Analysis, Bivariate Analysis,
Exploratory Data Analysis, and Business Recommendations.
2. Personal Loan Campaign Purchase Prediction
Build a model to identify potential customers of a bank who are more likely to buy a loan, enabling
the bank to create marketing campaigns with a higher conversion rate.
Skills Acquired: Exploratory Data Analysis, Data Preprocessing, Machine Learning, Decision Trees,
Pruning, and Scikit-Learn.
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3. Credit Card Users Churn Prediction
Build a predictive model that predicts whether or not a customer will discontinue using a bank's
credit card services and the reason behind it.
Skills Acquired: Exploratory Data Analysis, Data Preprocessing, Random Forest, Bagging, Boosting,
Cross Validation, SMOTE, Hyperparameter Tuning, and Scikit-Learn.
4. Bank Customer Churn Prediction
Analyze the customer data provided to understand which aspects of the service influence
customers and build a neural network model to determine the chances of a customer churning in
the next 6 months.
Skills Acquired: Exploratory Data Analysis, Data Preprocessing, Tensorflow, Keras,
Artificial Neural Networks, and Regularization.
5. Plant Seedling Classification
Build a robust image classifier using CNNs to efficiently classify different plant seedlings and weeds
to maximize crop yields and minimize human involvement.
Skills Acquired: Image Processing, Image Classification, Keras, Tensorflow, Convolutional Neural
Networks, and Transfer Learning.
6. Customer Support Ticket Categorization
Explore the data provided and develop an advanced support ticket categorization system that
accurately classifies incoming tickets, assigns relevant tags based on their content, and assigns
priority and ETA for the tickets for prompt resolution.
Skills Acquired: Data Manipulation, Exploratory Data Analysis, Transformers, Large Language
Models, and Prompt Engineering.
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7. New Wheels Case Study
New Wheels sales have been dipping steadily in the past year, and due to the critical customer
feedback and online ratings, there is a drop in new customers every quarter, which is concerning.
The data is not organized, is dumped as flat files, and is only used occasionally. Your objective is to
answer business questions with the help of MYSQL. Use the output data to create a visualization
for the Quarterly Business Report for the leadership with recommendations and insights.
Skills Acquired: Querying Data, SQL Functions, Data Aggregation, Joins, Subqueries, and Window
Functions.
8. E-news Express Project
Explore the data provided and perform statistical analysis to decide whether an online news
portal's new landing page is effective enough to attract new subscribers compared to its old one.
Skills Acquired: Data Visualization, Exploratory Data Analysis, Hypothesis Testing, A/B Testing,
and Statistical Inference.
9. Object Detection and Recognition
Analyze the data of a company that owns a movie application and repository that caters to movie
streaming to millions of users worldwide and build a computer vision system powered by neural
networks to automate the process of cast and crew identification for different scenes in movies so
that relevant information can be shared about them.
Skills Acquired: Image Processing, Image Classification, Object Detection, Keras, Tensorflow,
Convolutional Neural Networks, and Triplet Lossn.
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FACULTY
DR. KUMAR MUTHURAMAN DR. D NARAYANA PROF. MUKESH RAO PROF. ABHINANDA
SARKAR
H. Timothy (Tim) Harkins Faculty, AI and Faculty, Machine Learning
Centennial Professor Machine Learning Academic Director
TESTIMONIALS
MANISH KUMAR
Senior Engineer - Tata Consulting
Engineering Limited
The learning experience has been smooth and great. The program is
well-structured and the learning content provided is up-to-date and covers both
theoretical and industrial application aspects. Hands-on exercises and projects at
the end of the module are really helpful in gaining confidence.
DHINESH KUMAR GANESHAN
Lead Consultant - Infosys
Great Learning's PGP-AIML is an eye-opener on future technologies and
opportunities and is led by industry experts who put their efforts into ensuring
that the knowledge is shared in the right sense. They try to help students to gain
critical information that is important for their career success.
The faculty has contributed to program curriculum and online learning content only.
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DEDICATED CAREER SUPPORT
E-PORTFOLIO
An e-portfolio is a snapshot of all the projects done
and skills acquired during the program that is
shareable across social media channels. This will help
you establish your expertise to potential recruiters.
CAREER GUIDANCE
RESUME REVIEW AND INTERVIEW PREPARATION
Build your resume to highlight your skills and
your previous professional experience. Also,
learn how to crack interviews with interview
preparation sessions.
CAREER GUIDANCE
Get access to career mentoring from industry
experts who’ve transitioned to Artificial
Intelligence and MachineE-PORTFOLIO
Learning roles.
Benefit from their guidance on how to build a
rewarding career in Artificial Intelligence and
Machine Learning.
JOB BOARD
The program provides candidates
access to a Job Board with job
opportunities shared by 3000+
organisations. Gain an average salary
hike of 50% like many other learners.
15
COMPANIES THAT HIRE FROM US
AND 3600 MORE
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ADMISSION DETAILS
Eligibility
Applicants should have a Bachelor's degree with a minimum of 50% aggregate marks or equivalent
and familiarity with programming. For candidates who do not know Python, we offer a free
pre-program tutorial.
Selection Process
APPLY INTERVIEW JOIN
PROCESS PROGRAM
Apply by filling Go through a screening An offer letter will be
a simple online call with the Admission rolled out to the
application form Director’s office selected candidates
Program Fee PAYMENT METHODS
₹2,95,000 + GST Candidates can pay the program fee through net
banking, credit cards, or debit cards.
FINANCIAL AID
With our corporate financial partnerships, avail
education loans at 0% interest rate* .
*Conditions Apply. Please reach out to the admissions team for more details.
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PROGRAM USE CASES
The profound impact of Artificial Intelligence and Machine Learning has ushered in a new era across
industries. Their integration has become imperative, revolutionizing operations and allowing
companies to harness their potential to elevate customer experiences. With continuous
advancements in computational power, leveraging AI/ML has become not just feasible but essential
for businesses aiming to optimize and enhance their interactions with customers.
E-Commerce
PRODUCT RECOMMENDATION SYSTEM
Entertainment
SENTIMENT ANALYSIS USING LSTM
News
SARCASM DETECTION
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PROGRAM PARTNERS
Great Learning is a leading global ed-tech company for
professional learning and higher education. It offers
comprehensive, industry-relevant, hands-on learning programs
across various business, technology, and interdisciplinary domains
driving the digital economy. These programs are developed and
offered in collaboration with the world's foremost academic
institutions in various formats, such as certificate programs
(ranging from 3 to 11 months), online courses, and hybrid degrees.
Great Learning can leverage the highly qualified, world-class
faculty at these universities and its vast network of 7000+ industry
expert mentors to deliver an unmatched learning experience for
over 11 million learners from over 170 countries worldwide.
Great Lakes Executive Learning is the executive learning arm of
Great Lakes Institute of Management. Great Lakes is India’s leading
business school with campuses in Chennai and Gurgaon. Led by
exceptional faculty and steered by an outstanding advisory
council, Great Lakes is ranked amongst India’s top 10 business
schools and is ranked as the best in the country when it comes to
learning Data Science and Analytics. Learning Data Science from
Great Lakes ensures you get the industry credibility and
acceptance as you look to build your career
The University of Texas at Austin’s McCombs School of Business
is a premier business school at a world class public research
university. It cultivates principled leaders and develops ideas
through high-quality instruction, experiential learning, and the
pursuit of relevant, groundbreaking research, shaping those who
will shape tomorrow and solve the most challenging problems.
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CONTACT US
+91 80471 89252
aiml@greatlearning.in
mygreatlearning.com
