PGP- Artificial Intelligence and Machine Learning (Executive)

Build a successful career in Artificial Intelligence and Machine Learning

Online Mentorship

7 Months

Application closes on 24th May 2025

Application closes in:

Hrs

Mins

Secs

91%

Seats filled

Get a 360° understanding of AI and Machine Learning

Masterclasses delivered by distinguished UT Austin faculty

Python
Deep Learning
Machine Learning
Computer Vision
Neural Networks
Hugging Face
Prompt Engineering
NLP with Generative AI

Thousands of careers empowered

50%

Average salary hike
3,300+

Hiring Companies

*Across Great Learning programs

Awani

Artificial Intelligence & Machine Learning

Assistant Manager- Data Science Analytics

Mazars India

Senior Data Scientist(Engineer)

HERE Technologies
Archit Narang

Artificial Intelligence & Machine Learning

Data Scientist

FUTURE CONSUMER LIMITED

Senior Data Scientist

Technokart Consultancy Services LLP
Asit Panigrahy

Artificial Intelligence & Machine Learning

Senior Data Scientist

INNOVA SOLUTIONS USA

Data Scientist Specialist

Brillio
Praneeth Pragallapati

Artificial Intelligence & Machine Learning

Senior Business Analyst

Tredence Inc. Full-time

Data Scientist

Fractal Full-time
Sai Kumar Yava

Artificial Intelligence & Machine Learning

Machine Learning Engineer

Innoclique Cognitive Technologies Pvt. Ltd

Senior ML Engineer - Data & Insights @ EXP+ Explore

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Designed for working professionals like you

Learn anytime,
anywhere

Learn through online videos by world class faculty

Weekly online
mentorship by experts

Get assistance on projects and reinforce concepts through weekly sessions

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Network with people of
similar interests

Interact with peers to grow your professional network

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Dedicated
Program Support

Dedicated Program Manager to solve your queries

Get a Certificate from UT Austin

Artficial intelligence and machine learning certificate by university of Texas at Austin

* Image for illustration only. Certificate subject to change.

MS - Business Analytics

QS World University rankings, 2022
Executive Education

Custom Programs by Financial Times, 2022

Learn 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 that are 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, an open-source Python library that 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 be using the Transformers library to access and use state-of-the-art LLMs for a variety of tasks like text classification, question-answering, summarization, text generation, sentence similarity, and more.

Languages and Tools covered

Python
Pandas
NumPy
Seaborn
Matplotlib
Skitlearn
Hugging Face
LangChain
ChatGPT
Tensorflow
Keras
OpenCV
Gemini
SpaCy
Docker
Flask
Transformers
Dall.E
Whisper
MySQL
And More...

Hands-On Case Studies

Data sets from the industry
UBER · NETFLIX · AMAZON

7

Hands-on projects
40+

Case studies

BFSI

Company Annual Financial Report Analysis

Aid financial analysts at Apple to extract key information from long financial documents like annual reports very quickly using RAG and thereby increasing efficiency in making key financial decisions.

Tools & Concepts: Generative AI, Large Language Models, Prompt Engineering, Hugging Face, Retrieval Augmented Generation, Vector Databases, Langchain

Food and Beverages

Restaurant Review Analysis

Analyze the customer reviews for different restaurants for a leading global food aggregator and use generative AI models to analyze the reviews and tag them, thereby enhancing the company's ability to understand customer sentiments at scale, enabling data-driven decision-making, and improving overall customer satisfaction.

Tools & Concepts: Generative AI, Large Language Models, Prompt Engineering, Hugging Face

News and Media

E-news Platform News Categorization

Efficiently categorize and tag news articles for an e-news platform for improved content organization and user engagement

Tools & Concepts: Generative AI, Sentence Transformers, Hugging Face, Sentence Similarity, Text Classification

Hospitality

Hotel Booking Cancellation Prediction

Build a Data Science solution for a chain of hotels that will help them predict the likelihood of a booking getting canceled so that they can take measures to fill in potential vacancies and reduce revenue loss

Tools & Concepts: Exploratory Data Analysis, Decision Trees, Random Forest, Scikit Learn, Pandas

Learner Testimonials

"You have no reason to worry even if you don’t have any programming background because that will be taken care of during the course."

Siva Sai Kumar, Staff Design Engineer
"I found the curriculum to be extremely precise and structured to the topics discussed."

Senthil Mohan, Designer Project Lead
"With the course and the projects that we undertook, it brought in a lot of discipline in me to continue working and upskilling at the same time."

Jai Arora, Director of Engineering

Learners review our program support & mentors

Hear our learners as they share their experiences with the AI & ML course

The idea to join Great Learning was a great initiative for my career transition. The teaching environment was very interactive, engaging and friendly as well. Due to the pandemic, we had to attend online classes after almost 6 months of classroom learning. But the transition was smooth. Thanks to the organizers. The faculty is undeniably amazing and puts their best efforts to make us understand the intuition behind each topic. The course content was well structured. Thanks to GL Excelerate where they helped us to be interview ready and now, I have an offer in Sutherland for the Data Scientist Role.

Sai Lakshmi Reddi

Data Engineer
I did not know anything about analytics before joining Great Learning. Great Learning provided me with a complete curriculum for data science, starting from basics to advanced topics, everything was covered in a detailed manner. Career support was really nice, we got to interact with alumni about how we can ace the interviews. I got placed even before completing the course. Thanks to Great Learning team!

Prince Goyal

Data Analyst
I am so glad to inform you that I successfully transitioned my career into data engineering. This transition wasn't easy as I came from support background. Before Great Learning my profile didn't even used to get shortlisted for interviews for Data Analytics/Data Scientist roles. But after doing this course I was ovewhelmed with the calls, and of course I was prepared for the interviews because of all the real time projects you do throughout this course. I will always be grateful to Great Learning for giving me opportunity to learn from such excellent professors. Many thanks to placement assistance team for being so supportive and informative throughtout the placement season.

Shubham Madure

Data Engineer

Program Fees

Starting at ₹ 6,776/month

Program Fee: ₹ 2,75,000 + GST

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As low as ₹ 6,776/month

for 60 months

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Benefits of learning from us

7 months online
20 online mentorship sessions
7 hands-on projects & 40+ case studies
Work on 20+ tools and Languages
Dedicated Program Manager
Academic Learning Support
Detailed performance review
Certificate of Completion from UT Austin
Shareable e-Portfolio

“Great Learning had been the ideal choice when I was in a fix to change track in my IT career.”

Nishitha R

Senior Business Analyst, Tredence

Admission Process

Our admissions close once the requisite number of participants enroll for the upcoming batch. Apply early to secure your seat.

1. Fill application form

Apply by filling a simple online application form.
2. Interview Process

Go through a screening call with the Admission Director’s office.
3. Join program

Selected candidates will receive an offer letter. Secure your seat by paying the admission fee.