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Explore Artificial Intelligence Courses

Browse the best Artificial Intelligence courses that fit your specifications. Find the course that upskill and advances your career.

Successful Career Transitions

Check our learners' successful transitions in AI & ML job roles. Talk to our experts to understand how our programs can help you in your career goals.

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    Poulami Das

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    Artificial Intelligence & Machine Learning

    Azure Big Data Engineer

    ValueLabs

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    Azure Data and AI Consultant

    Microsoft

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    Jarupula Prem Kumar

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    Artificial Intelligence & Machine Learning

    Assistant System Engineer

    TCS

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    Data Engineer

    TVS Motors

    TVS Motors
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    Jatin Thakkar

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    Artificial Intelligence & Machine Learning

    Senior Consultant

    EY Analytics (Asia-Pacific)

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    Principal Software Engineer - AI/ML

    Dell Technologies

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    Vardaan Agarwal

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    Artificial Intelligence & Machine Learning

    ROC Engineer

    SoftBank Energy

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    Data Scientist

    Indegene

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    Esha Savlani

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    Artificial Intelligence & Machine Learning

    Sr Analyst

    Sakon

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    Business Analyst

    Capgemini

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    Anirban Datta

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    Artificial Intelligence & Machine Learning

    Data Scientist and Lead NPD

    prismo.ai

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    Senior Technology Consultant

    EY India

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    Aggya

    linkedin icon

    Artificial Intelligence & Machine Learning

    Senior Software Consultant

    Quale Infotech

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    Associate Consultant

    Fractal Analytics

    Fractal Analytics
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    Ekta Kumari

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    Artificial Intelligence & Machine Learning

    Sr. Cloud Support Associate

    Amazon Development Center Pvt Ltd

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    Business Analyst

    Tech Mahindra

    Tech Mahindra
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    Gaurav Bhuyan

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    Artificial Intelligence & Machine Learning

    R&D Lead

    Nokia Networks

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    Senior Data Engineer

    Tiger Analytics

    Tiger Analytics
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    Vishal Verma

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    Artificial Intelligence & Machine Learning

    Business Intelligence Analyst

    Everwell Health Solutions

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    Sr. Business Analyst

    Tredence Analytics

    Tredence Analytics
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    Venkatasalam Mpv

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    Artificial Intelligence & Machine Learning

    Data Analyst/BI Developer

    Logesys Solutions

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    Associate - Data Science

    TheMathCompany

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    Ajay Suresh Kini

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    Artificial Intelligence & Machine Learning

    Senior Engineer

    Satven-Ford Motor Company

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    Analyst

    Deloitte Consulting

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    Kurian Just

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    Artificial Intelligence & Machine Learning

    Lead

    FIDELITY INVESTMENTS

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    Associate Consultant- ML

    TCS

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    Sumit Gupta

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    Artificial Intelligence & Machine Learning

    Moderator

    Great Learning

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    Consultant

    Capgemini

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    Chetan Pandey

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    Artificial Intelligence & Machine Learning

    Associate Analyst

    Deloitte

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    Business Analyst

    Amazon

    Amazon
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    Priyanka S

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    Artificial Intelligence & Machine Learning

    Senior Analyst

    Capgemini

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    Associate Engineer

    TEKSystems Global Services

    TEKSystems Global Services

Over 3300+ Hiring Companies

Participate in regularly organised career accelerated programs and placement drives Great Learning offers. Secure employment with leading companies across various industries.

tech mahindra
Genpact
EXL Services
Fractal Analytics
nielsen
Cartesian Consulting
HSBC
EY
DXC Technology
mahindra
Ugam Solutions
latentview
kantar
eclerx
fedex
tredence
uber
tech mahindra
Genpact
EXL Services
Fractal Analytics
nielsen
Cartesian Consulting
HSBC
EY
DXC Technology
mahindra
Ugam Solutions
latentview
kantar
eclerx
fedex
tredence
uber

Our Faculty

Our top faculty in Artificial Intelligence will deliver you a top-notch learning experience.

Anubha Gupta

Anubha Gupta

Professor (ECE)
PhD, IIT Delhi

Munther Dahleh

Munther Dahleh

MIT

Program Faculty Director, MIT Institute for Data, Systems, and Society (IDSS)

Dr.Steven Bethard

Dr.Steven Bethard

Associate Professor, School of Information

Connor Hagen

Connor Hagen

Lead Architect, Microsoft Azure OpenAI & AI Co-Innovation Labs

Javad Katibai

Javad Katibai

Chassis System Architect - General Motors

Jainendra Shukla

Jainendra Shukla

Assistant Professor (CSE, HCD)
PhD, URV Spain

Stefanie Jegelka

Stefanie Jegelka

MIT

X-Consortium Career Development Associate Professor, EECS and IDSS, MIT

John N. Tsitsiklis

John N. Tsitsiklis

MIT

Clarence J. Lebel Professor, Dept. of Electrical Engineering & Computer Science (EECS) at MIT

Dr. Dave Schippers

Dr. Dave Schippers

VP and Academic Dean

Dr. Christian Roman-Palacios

Dr. Christian Roman-Palacios

Assistant Professor of Practice, School of Information

Bradford  Tuckfield

Bradford Tuckfield

Founder, KMBARA

Vinicio DeSola

Vinicio DeSola

Senior Data Scientist, Aspen Capital

Dr. Hong Cui

Dr. Hong Cui

Professor, School of Information

Devavrat Shah

Devavrat Shah

MIT

Professor, EECS and IDSS, MIT

Dr. Sutharshan Rajasegarar

Dr. Sutharshan Rajasegarar

Senior Lecturer in Computer Science Course Director Master of Data Science

James Gerrity

James Gerrity

PhD, Adjunct Associate Professor

Ranjitha Prasad

Ranjitha Prasad

Assistant Professor (ECE)
PhD, IISc Bangalore

Akshit Raja

Akshit Raja

Head of Data Science & AI, Appyhigh

Ankur Moitra

Ankur Moitra

Rockwell International Career Development Associate Professor, Mathematics and IDSS, MIT

Mr. Mahesh Anand S

Mr. Mahesh Anand S

Founder & Chief Consultant, Scientific Computing Solutions

Mr. Sudarshan Deshmukh

Mr. Sudarshan Deshmukh

Founder and CEO, deepintution.ai

Mr. Sayan Dey

Mr. Sayan Dey

Independent Consultant, AI and Deep Learning

Rajeev Kumar

Rajeev Kumar

Mr.

Ex-DPE, Cognitive Automation, IBM

Caroline Uhler

Caroline Uhler

Henry L. & Grace Doherty Associate Professor, EECS and IDSS, MIT

Dr. Bryan Heidorn

Dr. Bryan Heidorn

Professor, School of Information
Director, Center for Digital Society and Data Studies.

Thomas Petz

Thomas Petz

CIO/COO, Assistant Professor of IT

Sridhar Srinivas

Sridhar Srinivas

Director - Corporate Relations & Growth

Saket Anand

Saket Anand

Associate Professor (CSE, ECE)
PhD, Rutgers University, USA

David Gamarnik

David Gamarnik

Nanyang Technological University Professor of Operations Research, Sloan School of Management and IDSS, MIT

Syamantak Das

Syamantak Das

Assistant Professor (CSE)
PhD, IIT Delhi

Dr. Meaghan Wetherell

Dr. Meaghan Wetherell

Assistant Professor of Practice, School of Information

Christopher Heidendr

Christopher Heidendr

Program Lead at IT, Associate Professor of Business Information Technology

Dr. Peter Jansen

Dr. Peter Jansen

Assistant Professor, School of Information

Dr. Bappaditya Mukhopadhyay

Dr. Bappaditya Mukhopadhyay

Ph.D (Indian Statistical Institute)

Co-Director, Gurgaon, Professor - Analytics & Statistics, Great Lakes Institute of Management

V. Raghava Mutharaju

V. Raghava Mutharaju

Assistant Professor (CSE)
PhD, Wright State University, USA

Dr. Ye Zhu

Dr. Ye Zhu

Senior Lecturer, Computer Science

Guy Bresler

Guy Bresler

Associate Professor, EECS and IDSS, MIT

Vikram Goyal

Vikram Goyal

Head, Professor (CSE)
PhD, IIT Delhi

Md. Shad Akhtar

Md. Shad Akhtar

Assistant Professor (CSE)
PhD, IIT Patna

Jonathan Kelner

Jonathan Kelner

Professor, Mathematics, MIT

Dr. Bahareh Nakisa

Dr. Bahareh Nakisa

Senior Lecturer, Applied Artificial Intelligence

Kalyan Veeramachaneni

Kalyan Veeramachaneni

Principal Research Scientist at the Laboratory for Information and Decision Systems, MIT.

Philippe Rigollet

Philippe Rigollet

Professor, Mathematics and IDSS, MIT

Dr. Asef Nazari

Dr. Asef Nazari

Senior Lecturer in Mathematics for Artificial Intelligence

Tamara Broderick

Tamara Broderick

Associate Professor, EECS and IDSS, MIT.

Gang Li

Gang Li

Professor,School of Info Technology

Victor Chernozhukov

Victor Chernozhukov

Professor, Economics and IDSS, MIT

Dr. Marek Gagolewski

Dr. Marek Gagolewski

Senior Lecturer, Applied Artificial Intelligence

Maia Angelova Turkedjieva

Maia Angelova Turkedjieva

Professor, Real-World Analytics

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Our Industry Mentors

Learn from our skilled industry practitioners from the most reputable organizations.

Mr. Bradford Tuckfield

Mr. Bradford Tuckfield

Founder and Data Science Consultant
Mr. Survesh Chauhan

Mr. Survesh Chauhan

Data Scientist, Novartis
Vaibhav Verdhan

Vaibhav Verdhan

Analytics Leader, Global Advanced Analytics
Mr. Krishnav Dave

Mr. Krishnav Dave

Senior Data Scientist

Great Learning

Mr. Suvajit Mukhopadhyay

Mr. Suvajit Mukhopadhyay

Deputy VP - IT Strategy and Enterprise Architecture

Bandhan Bank

Mr. Amit Jain

Mr. Amit Jain

Technical Architect

Tavant

Ms. Mayan Murray

Ms. Mayan Murray

Senior Data Scientist and UX Consultant
Mr. Rohit Raj

Mr. Rohit Raj

Data Scientist, Goibibo
Mr. Akshay Kulkarni

Mr. Akshay Kulkarni

Senior Data Scientist

Publicis Sapient

Mr. Rajneesh Tiwari

Mr. Rajneesh Tiwari

Data Scientist

Ericson

Mr. Sahil Matoo

Mr. Sahil Matoo

Data Scientist

DXC Technologies

Mr. Vineet Berlia

Mr. Vineet Berlia

Data Scientist and Automation Lead - Applied Data Science Center

IQVIA

Mr. Pradeep Prajapati

Mr. Pradeep Prajapati

Technical Specialist

ThyssenKrupp Industries India

Mr. Ashish Vyas

Mr. Ashish Vyas

Program Manager

Capgemini Technologies

Mr. Sumit Kumar

Mr. Sumit Kumar

Senior Data Analyst

Wolter Kluwer - Financial Services Solutions

Mr. Sanjoy Gosh

Mr. Sanjoy Gosh

Business Analyst Project Management

HP

Mr. Soharab Hussain Shaikh

Mr. Soharab Hussain Shaikh

Assistant Professor - Department of Computer Science and Engineering

BML Munjal University

Mr. Arun K

Mr. Arun K

Research Engineer, General Electric (GE)
Mr. Vibhor Kaushik

Mr. Vibhor Kaushik

Data Scientist
Mr. Amit Agarwal

Mr. Amit Agarwal

Senior Data Scientist
Mr. Akshay Kumar

Mr. Akshay Kumar

Principal Data Scientist, Sigmoid
Mr. Kemal Yilmaz

Mr. Kemal Yilmaz

Senior Data Scientist
Mr. Shelton Maharesh Sundersingh

Mr. Shelton Maharesh Sundersingh

Senior Data Scientist, Adidas Runtastic
Mr. Abdul Manaf C B

Mr. Abdul Manaf C B

Machine Learning Architect, EDGE
Ms. Xiaojun Su

Ms. Xiaojun Su

Data Science Product Manager
Mr. Juan Castillo

Mr. Juan Castillo

Machine Learning Engineer
Mr. Nitin Khandelwal

Mr. Nitin Khandelwal

Head of Machine Learning, Kruzr
Mr. Sai Vignan Malyala

Mr. Sai Vignan Malyala

Head of Data Science, Oorwin Labs
Mr. Andrew Marlatt

Mr. Andrew Marlatt

Data Scientist - Revenue Expansion
Dr. Sandeep Raghuwanshi

Dr. Sandeep Raghuwanshi

Senior Specialist - Technology, Synechron
Mr. Rohit Dixit

Mr. Rohit Dixit

Senior Data Scientist
Mr. Naga Pavan Kumar Kalepu

Mr. Naga Pavan Kumar Kalepu

Data Science Manager, Accenture
Mr. Srikanth Pyaraka

Mr. Srikanth Pyaraka

Data Science Product Manager
Mr. Angel Das

Mr. Angel Das

Data Science Consultant
Mrs. Supriya Seetharam

Mrs. Supriya Seetharam

Founder at Data Dimensions India, Ex - Cargill
Mr. Murali Balasubramanian

Mr. Murali Balasubramanian

Innovation Head (India), Stellantis
Mr. Shirish Gupta

Mr. Shirish Gupta

Lead Data Scientist
Mr. Dipanshu Haldar

Mr. Dipanshu Haldar

Senior Data Scientist @ Electronic Arts (EA)
Mr. Vanessa Afolabi

Mr. Vanessa Afolabi

Senior Data Scientist
Mr. Thinesh Pathmanathan

Mr. Thinesh Pathmanathan

Data Scientist
Mr. Grivine Ochieng

Mr. Grivine Ochieng

Lead Data Engineer
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Successful Projects by Our Learners

Our enthusiastic learners have completed these ambitious projects, showcasing their newly acquired skills. You can go through these projects to take inspiration for your goals.

  • Automobile

    Classifying silhouettes of vehicles

    Classify a given silhouette as one of three types of vehicles, using a set of features extracted from the silhouette. The vehicle may be viewed from one of many different angles.
    Learn more
  • Healthcare

    Analyze health information to make decisions for insurance business

    This project uses Hypothesis Testing and Visualization to leverage customer's health information like smoking habits, BMI, age, and gender for checking statistical evidence to make valuable decisions of insurance business like charges for health insurance.
    Learn more
  • EDA, Visualization, BFSI

    Identifying potential customers to target for a marketing campaign

    The project involves using visualization techniques to derive valuable insights about the data to help build a targeted bank marketing campaign
    Learn more
  • Cement manufacturing

    Predicting the Strength of high-performance concrete

    Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients. These ingredients include cement, blast furnace slag, fly ash, water, superplasticizer, coarse aggregate, and fine aggregate. You will predict the strength of concrete using different concepts of ML
    Learn more
  • Banking

    Identifying potential customers for loans

    This case is about a bank (Thera Bank) whose management wants to explore ways of converting its liability customers to personal loan customers (while retaining them as depositors). A campaign that the bank ran last year for liability customers showed a healthy conversion rate of over 9% success. This has encouraged the retail marketing department to devise campaigns with better target marketing to increase the success ratio with a minimal budget.
    Learn more
  • Classification, Healthcare

    Diagnosing Parkinson's disease using Classification algorithm

    The Project involves using classification algorithms to diagnose Parkinson’s Disease (PD) using the patient voice recording data.
    Learn more
  • Web scraping, Sentiment analysis, NLP, E-commerce

    Build a sentiment analysis model for a E-commerce product

    The project involves scraping data from online E-commerce website and analyzing it to understand the sentiment of the customers regarding our product
    Learn more
  • E-commerce

    Product Recommendation System

    Online E-commerce websites like Amazon, Flipkart uses different recommendation models to provide different suggestions to different users. Amazon currently uses item-to-item collaborative filtering, which scales to massive data sets and produces high-quality recommendations in real-time. Use similar concepts to create your own product recommendation system
    Learn more
  • Medicine

    Diagnosing Parkinson's disease using Random Forests

    Traditional diagnosis of Parkinson’s Disease involves a clinician taking a neurological history of the patient and observing motor skills in various situations. Since there is no definitive laboratory test to diagnose PD, diagnosis is often difficult, particularly in the early stages when motor effects are not yet severe. Monitoring the progression of the disease over time requires repeated clinic visits by the patient. An effective screening process, particularly one that doesn’t require a clinic visit, would be beneficial. Since PD patients exhibit characteristic vocal features, voice recordings are a useful and non-invasive tool for diagnosis. If machine-learning algorithms could be applied to a voice recording dataset to accurately diagnosis PD, this would be an effective screening step prior to an appointment with a clinician
    Learn more
  • Applications of AI, POC, & Market analysis

    Ideating steps involved in conceptualizing an AI product

    The project involves coming up with an AI project and building its POC which includes the problem statement, proposed solution, validation metrics, market analysis, and timelines for implementing the project.
    Learn more
  • Object recognition

    Detecting digits on vehicle number plates

    Recognizing multi-digit numbers in photographs captured at street level is an important component of modern-day map making. A classic example of a corpus of such street-level photographs is Google’s Street View imagery composed of hundreds of millions of geo-located 360-degree panoramic images. The ability to automatically transcribe an address number from a geolocated patch of pixels and associate the transcribed number with a known street address helps pinpoint, with a high degree of accuracy, the location of the building it represents.
    Learn more
  • Object detection

    Face mask segmentation

    Predict and apply masks over the faces within images using CNN and image recognition algorithms. In this hands-on project, the goal is to build a system, which includes building a face detector to locate the position of a face in an image and apply a segmentation mask on the face.
    Learn more
  • Computer Vision

    Face Recognition

    Recognize, identify, and classify faces within images using CNN and image recognition algorithms. In this hands-on project, the goal is to build a face recognition system, which includes building a face detector to locate the position of a face in an image and a face identification model to recognize whose face it is by matching it to the existing database of faces.
    Learn more
  • Entertainment

    Sentiment Analysis using LSTM

    Word embedding is a type of word representation that allows words with similar meaning to have a similar representation. It is a distributed representation for the text that is perhaps one of the key breakthroughs for the impressive performance of deep learning methods on challenging natural language processing problems. We will use the IMDb dataset to learn word embedding as we train our dataset. This dataset contains 25,000 movie reviews from IMDB, labeled with a sentiment
    Learn more
  • News

    Sarcasm Detection

    Past studies in Sarcasm Detection mostly make use of Twitter datasets collected using hashtag based supervision but such datasets are noisy in terms of labels and language. Furthermore, many tweets are replies to other tweets and detecting sarcasm in these requires the availability of contextual tweets. In this hands-on project, the goal is to build a model to detect whether a sentence is sarcastic or not, using Bidirectional LSTMs.
    Learn more
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Testimonials from Learners

Check out the words of our learners as they share their experience of completing AI course offered by Great Learning.

  • user image

    Endri H

    Post Graduate Program in Artificial Intelligence and Machine Learning

  • user image

    Afshan Parkar

    Post Graduate Program in Artificial Intelligence and Machine Learning

  • user image

    Dimitris Zografos

    Post Graduate Program in Artificial Intelligence and Machine Learning

  • user image

    Everth Hernandez

    Post Graduate Program in Artificial Intelligence and Machine Learning

  • user image

    Frank Mokgoloboto

    Post Graduate Program in Artificial Intelligence and Machine Learning

  • user image

    Stephanie Nicole Baker

    Post Graduate Program in Artificial Intelligence and Machine Learning

  • user image

    Shadab Syed

    Post Graduate Program in Artificial Intelligence and Machine Learning

  • user image

    Usha Boddapu

    PGP - Artificial Intelligence for Leaders

Webinar on Artificial Intelligence

We provide webinars on AI and ML topics to help you better understand them. Join our webinars and interact with leading experts in Artificial Intelligence to gain insights into the field.

Learner Reviews for Artificial Intelligence Courses

14 Feb 2024
Batch of March 2020 | Analyst at Deloitte
I was looking for a fully online program due to my full-time job. Since this was my first foray into such a program, I was a bit hesitant. I’m happy to report that I couldn’t have made a better choice! In fact, the modules were very thorough and skillfully designed as per industry standards. The faculties were knowledgeable, approachable and quite skilful at leveraging the online nature of the program. I can honestly say that this program changed my career path completely. Everything is achievable through dedication, constant support and a great mentor - that’s what Great Learning provided for me.

Program : Post Graduate Program in Artificial Intelligence and Machine Learning

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28 Feb 2024
Batch of October 2021 | Test Engineer at Infosys Technologies | United States
The learning material was excellent, with helpful additional resources for each topic. The program was well-structured with video content, mentor sessions, case studies, and hands-on projects. The support team was approachable and cleared all my queries. I learned valuable skills like Python, EDA, image, and text processing.

Program : Post Graduate Program in Artificial Intelligence and Machine Learning

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21 Feb 2024
Batch of May 2019 | Data Processing Specialist at NielsenIQ
It has been a great learning experience being part of such an institution that not only provided quality education but also helped groom our personality. It has broadened my horizons to different perspectives in business, which will help me challenge this competitive environment. The world-class faculty at Great Lakes are very inspiring and constantly ensured that we were pushed to our limits. This is an excellent program for working professionals because they can instantly implement their learnings at work. Looking back now, I would certainly consider these two intense and exciting years as the best investment of my time.

Program : Post Graduate Program in Artificial Intelligence and Machine Learning

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21 Feb 2024
Batch of December 2020 | Data Engineer at Aventra Group
The mentor’s feedback was excellent, and he had knowledge of not just the program material, but related subjects as well. This program is very applicable to many aspects of user relations, not just building applications. I really enjoyed the program and look forward to taking up another one. Thank you very much for this program, I enjoyed every minute of the lectures.

Program : Post Graduate Program in Artificial Intelligence and Machine Learning

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14 Feb 2024
Batch of September 2019 | Data Scientist Intern at eChargeUp Solutions
My experience with Great Learning is very good. The quality of the content is great, and there are a lot of hands-on projects that help in facing real-life business problems. The program provided mentorship sessions, which helped us clear most of our doubts. It also focused on overall improvements in the learner, which helps clear interviews.

Program : Post Graduate Program in Artificial Intelligence and Machine Learning

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21 Feb 2023
Batch of July 2021
I applied to various companies but was unsuccessful in cracking any of those, as most of the job roles required knowledge of Machine Learning. So I began searching for a good online course in Artificial Intelligence and Machine Learning and then learned about the courses offered by Great Learning. The course contents were very well structured and were very suitable for working professionals as well as students. Mentoring sessions were provided at the end of the week. The mentors that took the sessions were well-experienced, and the sessions played a key role as they helped me clear my doubts and learn the concepts in depth. The AIML course provided me with the necessary skill sets for cracking the interview process at Cotiviti. I would like to thank the team of Great Learning for their efforts in giving us the much-needed preparation for the interviews and them at every step of the process.

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02 Apr 2024
Batch of January 2020 | Regional Information Technology Manager Africa at The Nature Conservancy | Kenya
I genuinely appreciate the mentorship provided in the program. The presentations were great and focused on real-world problems while covering them in depth too. The icing on the cake was the excellent use of graphics to clarify the concepts.

Program : Post Graduate Program in Artificial Intelligence for Leaders

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02 Apr 2024
Batch of November 2021 | Global Technical Support at ABB | Singapore
I found the program quite comprehensive, with a step-by-step focus on topics such as Statistics, Deep Learning, Computer Vision, and NLP. It also covered Big Data and Cloud Integration. The pre-work period allowed me to sharpen my Python skills. The program lasted for around 10 months; the structure was intensive with weekly quizzes, video lectures, and mentored sessions. The faculty was always available to resolve my questions. My Program Manager assisted me at every step. I must thank the career support team for their invaluable guidance with profile reviewing via 1:1 sessions.

Program : PG Program in Artificial Intelligence & Machine Learning: Business Applications

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02 Apr 2024
Batch of June 2022 | Junior economist at Bank of Korea | South Korea
The curriculum helped me understand and apply the basic concepts of Data Science. The program provides tons of quizzes and assignments along with academic support. The real-world examples were very helpful. Overall, I had a very satisfactory experience with the MIT IDSS data science and machine learning program.

Program : Data Science and Machine Learning: Making Data-Driven Decisions

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10 Apr 2024
Batch of September 2021 | Data Scientist at Renault Nissan
I started my career in the mechanical domain as a Structural Analysis Engineer and I want to enhance my skills in Machine learning and Deep Learning. This made me opt for the PGP-AIML from Great Learning. Overall it was a great experience and this program changed my career path and I became a Data Scientist. Career support was too good in terms of placements.

Program : Post Graduate Program in Artificial Intelligence and Machine Learning

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Comprehensive Programs to Advance Careers in AIML
Artificial Intelligence (AI) and Machine Learning (ML) are rapidly evolving landscapes of technology and have emerged as pivotal forces driving innovation across industries. Integrating AI into business processes is a trend and a strategic imperative for organizations aiming to maintain competitive advantage and foster innovation. Recognizing this shift, Great Learning, in collaboration with prestigious educational institutions and renowned universities such as the University of Arizona, IIIT-Delhi, Walsh, MIT Professional Education, and the University of Texas at Austin, has developed comprehensive Artificial Intelligence courses curated to equip professionals with the skills to simplify and navigate the complexities of AI and ML and leverage these technologies for business success.

Transformative Education in AI and ML
The suite of courses offered, including the MS in Artificial Intelligence and Machine Learning, No Code AI, Post Graduate Diploma in Artificial Intelligence, MS in Machine Learning, Generative AI for Business, and the PG Program in AI for Leaders from the UT Austin, IIIT-Delhi, MIT Professional Education, Walsh, Microsoft and the University of Texas at Austin, underscores the multifaceted approach to AI education. From data science basics to neural networks and Generative AI, the curriculum is designed for professionals, from those with technical backgrounds seeking to deepen their expertise in AI and ML technologies to business leaders and non-tech professionals aiming to harness AI's power for strategic decision-making. With online lectures, hands-on projects, and industry expert sessions, these programs equip learners with the skills to apply AI and ML in solving real-world business problems, bridging the industry's skills gap.

Bridging the Skills Gap
The demand for skilled AI professionals outstrips the current supply, creating a significant skills gap in the industry. This gap is in technical roles and leadership positions where understanding AI's capabilities and limitations is crucial for driving business innovation. The online and hybrid Artificial Intelligence and Machine Learning courses aim to bridge this gap by combining theoretical knowledge, practical skills, and real-world applications. They are structured to provide flexibility through online formats, mentored learning sessions, and hands-on projects, making them accessible to working professionals without disrupting their careers.

Curriculum Highlights
The curriculum across these online and hybrid courses is meticulously designed to teach the breadth and depth of AI and ML. From foundational concepts in data science and statistics to advanced topics in neural networks, deep learning, computer vision, and natural language processing, the programs offer a comprehensive learning experience. Importantly, they emphasize practical applications through case studies, projects, and capstone projects, ensuring learners can apply their knowledge to real-world business problems.

Industry-Relevant Learning
A unique aspect of these Artificial Intelligence courses is the focus on industry relevance. The curriculum includes sessions with industry experts, providing insights into how AI and ML are applied across sectors. AIML projects are designed to simulate real-world scenarios, allowing learners to develop solutions to actual business challenges. This practical focus ensures that graduates are proficient in AI and ML technologies and understand how to apply these technologies to drive business value.

Empowering Leaders with AI Knowledge
Recognizing the importance of leadership in driving AI initiatives, the PG Program in AI for Leaders is particularly designed for business leaders and professionals. This program focuses on developing an intuitive understanding of AI and ML, enabling leaders to make informed strategic decisions, manage technical teams effectively, and lead AI-driven transformation projects. Including modules on ChatGPT and Generative AI further ensures that the curriculum remains at the forefront of AI innovation.

Artificial Intelligence continues to reshape industries, and the need for AI-skilled professionals who can navigate the complexities of these technologies and leverage them for business success has never been greater. The collaborative AI courses offered by Great Learning, in partnership with leading universities, represent a significant step forward in meeting this need. By providing a comprehensive, flexible, and practical learning experience, these programs are equipping a new generation of professionals and leaders with the skills to lead in the age of AI.

Why Learn from Great Learning?
Great Learning is a leader in professional education, offering cutting-edge AI and Machine Learning courses in collaboration with top global universities. It combines rigorous academic content with practical experience that is globally relevant, guided by industry experts and renowned academicians. This approach ensures learners gain theoretical knowledge and real-world skills, supported by a robust mentorship and career assistance network, making Great Learning the go-to platform for advancing careers through AIML courses.