Explore Artificial Intelligence Courses

Here are the best artificial intelligence and machine learning courses offered by Great Learning and choose the best program that meets your specifications.

Learn More About Artificial Intelligence Courses

What is Artificial Intelligence & why should you pursue it?

Is this program right for you?

What is the duration of Artificial Intelligence Courses offered by Great Learning?

What is the Artificial Intelligence course fee?

What are the prerequisites for pursuing AI and machine learning courses?

What skills are covered under AI and ML programs?

What is Artificial Intelligence & why should you pursue it?
What is Artificial Intelligence & why should you pursue it?

There is a lot of buzz around the term Artificial Intelligence in the 21st century. The term AI is one of the most heard in recent times. But, what exactly is Artificial Intelligence? Artificial Intelligence in simple terms can be defined as the science of making machines smart. AI is the application of tools and techniques to design an algorithm that helps machines to solve problems that used to be solved only by humans.

 

Artificial Intelligence is attained by designing machines and robots that act like humans, something which has earned a high demand in recent times. Today, Artificial Intelligence is serving many organizations and businesses with better implementation of their strategic advancements, and hence, AI has presently become the center of attention for many top-notch companies. AI is perceived as one of the fastest-growing technologies of the present era which is also offering one of the highest salary packages in the globe.
Hence, the demand for this technology is on the rise and is expected to grow soon. Considering this demand, many professionals are aspiring careers in this technology and are seeking ways to learn artificial intelligence online. 
Great Learning has designed a set of outstanding AI courses that foster AI learning. 

Is this program right for you?
Is this program right for you?

If you are someone enthusiastic to become an AI professional, Great Learning offers a set of Artificial Intelligence programs that provide extensive knowledge in each specific area. Each of these programs are specifically designed to meet the diverse range of specifications that might differ from one to another.. 

 

Great Learning has designed Artificial Intelligence courses for beginners, fresh graduates, working professionals, and business leaders too. You may Check out the Artificial Intelligence course eligibility and proceed with the best-suited one for you. 

 

All you need to have is zealous to learn Artificial Intelligence.
 

What is the duration of Artificial Intelligence Courses offered by Great Learning?
What is the duration of Artificial Intelligence Courses offered by Great Learning?

Great Learning has designed AI courses whose duration ranges from 4 to 6 months. Choose the one that fits best for you.

What is the Artificial Intelligence course fee?
What is the Artificial Intelligence course fee?

Great Learning offers AI courses at prices that meet your budget specifications. Learn more about the AI course fee structure of the AI courses offered by GL.

What are the prerequisites for pursuing AI and machine learning courses?
What are the prerequisites for pursuing AI and machine learning courses?

If you are wondering how to learn artificial intelligence, there are a few definite prerequisites that assist you in mastering the techniques of Artificial Intelligence and Machine Learning thoroughly. Have a quick look at them here:

 

1. Programming languages
As AI and ML are all about training computer systems, it is crucial to know programming languages. Programming languages are the primary source to communicate with the machines. Java, C++, R, Python, etc are a few languages that are widely used in machine learning. Python specifically is the most popular programming language used by most AI and Machine Learning professionals.

 

2. Mathematics and Statistics
You need not be an expert in mathematics to learn AI and Machine Learning. However, you shouldn't be a novice to numerous mathematical applications that are applied in Artificial Intelligence and Machine Learning. A fundamental understanding of calculus, probability, statistics is crucial to understand the concepts of AIML.

 

Besides the above-mentioned prerequisites, having a concise understanding of the fundamentals of Artificial Intelligence would also promote a great understanding of the several concepts of Artificial Intelligence.

What skills are covered under AI and ML programs?
What skills are covered under AI and ML programs?

Below are the set of skills and technologies you would learn when you take up the AI and Machine Learning Courses offered by Great Learning: 
 

Python: Python is one of the most popular programming languages that is being used in several latest technologies such as Machine Learning, Artificial Intelligence, Data Science, and more. 


Computer Vision: Computer vision is one of the primary applications of Artificial Intelligence that enables computers to identify things in the picture.


Deep Learning: Deep Learning is an important subset of Machine Learning. It is a type of machine learning inspired by the structure of the human brain that tries to draw similar outcomes like it.


Machine Learning: Machine Learning is the important subset of Artificial Intelligence. Machine Learning has got tremendous demand in recent times. Machine Learning is a technology that draws together statistics and computer science to aid computers to learn how to execute a given task without being programmed to do so. 


Neural Network: Neural network refers to a multi-layered structure of algorithms operated in deep learning. They are trained to mimic the human brain and possess a brain-like structure. It takes the data, processes it, and predicts the output for each new set of data.  


NLP: NLP stands for Natural Language processing and is one of the popular applications of Machine Learning where machines can examine and interpret textual data. NLP algorithms can read texts and obtain insights as well.

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Successful Career Transitions To Inspire You

Read the encouraging stories of our learners who encountered successful career transitions into their preferential job roles of AI & ML.

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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

    linkedin icon

    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

    linkedin icon

    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

    linkedin icon

    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

    linkedin icon

    Artificial Intelligence & Machine Learning

    Moderator

    Great Learning

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    Consultant

    Capgemini

  • hike icon113% hike

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    Chetan Pandey

    linkedin icon

    Artificial Intelligence & Machine Learning

    Associate Analyst

    Deloitte

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    Business Analyst

    Amazon

    Amazon
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    Priyanka S

    linkedin icon

    Artificial Intelligence & Machine Learning

    Senior Analyst

    Capgemini

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    Associate Engineer

    TEKSystems Global Services

    TEKSystems Global Services

Our Faculty

Learn from the vast knowledge of top faculty in the field of Aritifical Intelligence.

Thadikamala Shyla Kumar

Thadikamala Shyla Kumar

Head Data Sciences & Architecture

Dr.Steven Bethard

Dr.Steven Bethard

Associate Professor, School of Information

Devavrat Shah

Devavrat Shah

MIT

Professor, EECS and IDSS, MIT

Munther Dahleh

Munther Dahleh

MIT

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

Connor Hagen

Connor Hagen

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

Itti Singh

Itti Singh

Lead, Business Consulting Delivery

Mukesh Lal

Mukesh Lal

Head, Data Science

Dr. Christian Roman-Palacios

Dr. Christian Roman-Palacios

Assistant Professor of Practice, School of Information

Stefanie Jegelka

Stefanie Jegelka

MIT

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

Bradford  Tuckfield

Bradford Tuckfield

Founder, KMBARA

John N. Tsitsiklis

John N. Tsitsiklis

MIT

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

Vinicio DeSola

Vinicio DeSola

Senior Data Scientist, Aspen Capital

Dr. Hong Cui

Dr. Hong Cui

Professor, School of Information

Caroline Uhler

Caroline Uhler

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

Ramya Girish  Balasubramaniam

Ramya Girish Balasubramaniam

AI Engineer, Flipp

Ankur Moitra

Ankur Moitra

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

Randhir Agarwal

Randhir Agarwal

Director, Data Science

Dr. Bryan Heidorn

Dr. Bryan Heidorn

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

Sunil Kumar Vuppala

Sunil Kumar Vuppala

Dr.

Director-Data Science

Dr. Meaghan Wetherell

Dr. Meaghan Wetherell

Assistant Professor of Practice, School of Information

David Gamarnik

David Gamarnik

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

Karthikeyan Sankaran

Karthikeyan Sankaran

Chief Technology Officer

Dr. Peter Jansen

Dr. Peter Jansen

Assistant Professor, School of Information

Balaji Chandrasekaran

Balaji Chandrasekaran

Senior Data Scientist

Guy Bresler

Guy Bresler

Associate Professor, EECS and IDSS, MIT

Srinivas Atreya

Srinivas Atreya

Chief Data Scientist

Jonathan Kelner

Jonathan Kelner

Professor, Mathematics, MIT

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

Tamara Broderick

Tamara Broderick

Associate Professor, EECS and IDSS, MIT.

Victor Chernozhukov

Victor Chernozhukov

Professor, Economics and IDSS, MIT

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Industry Mentors

The mentor team of the AI training courses comprises many experienced industry-practitioners from top-notch organizations.

Dana Engbertson

Dana Engbertson

Senior Data Scientist Consultant

Microsoft (US)

Jason Boada

Jason Boada

Data Scientist & Strategy Consultant

IBM (US)

Odie Pichappan

Odie Pichappan

Senior Data Scientist

Verizon (US)

Ruby Chu

Ruby Chu

Senior Lead, Data Science

WeWork (US)

Sahil Batra

Sahil Batra

Sr. Manger of BI and Analytics

Dell EMC (US)

Sang H Han

Sang H Han

Data Scientist

Exxon Mobil (US)

Roman Mozil

Roman Mozil

Applied Data Scientist

Finning (Canada)

Kalle Bylin

Kalle Bylin

Product Engineer
Evans Otalor

Evans Otalor

Data Science Consultant

Sterling Bank Plc (Nigeria)

Idris Malik

Idris Malik

Software Engineer, Machine Learning
Bradford Tuckfield

Bradford Tuckfield

Founder and Data Science Consultant
Mr. Bradford Tuckfield

Mr. Bradford Tuckfield

Founder and Data Science Consultant
Ram Thilak Prem Kumar

Ram Thilak Prem Kumar

Global Head of Data Science

Inchcape Plc (Singapore)

Vaibhav Verdhan

Vaibhav Verdhan

Analytics Leader, Global Advanced Analytics
Nimish Srivastava

Nimish Srivastava

Senior Machine Learning Engineer
Omar Attia

Omar Attia

Senior Machine Learning Engineer
Ms. Mayan Murray

Ms. Mayan Murray

Senior Data Scientist and UX Consultant
Franck Tchuente

Franck Tchuente

Senior Data Scientist
Selcuk Baran

Selcuk Baran

Research Science Manager
Mr. Vibhor Kaushik

Mr. Vibhor Kaushik

Data Scientist
Vybhav Reddy K C

Vybhav Reddy K C

Senior Data Scientist
Matt Nickens

Matt Nickens

Manager, Partnership Science
Mr. Amit Agarwal

Mr. Amit Agarwal

Senior Data Scientist
Dipjyoti Das

Dipjyoti Das

Staff Data Scientist
Fahad Akbar

Fahad Akbar

Co-Founder & Core Contributor
Mr. Kemal Yilmaz

Mr. Kemal Yilmaz

Senior Data Scientist
Omid Badretale

Omid Badretale

Senior Research Data Scientist | Alternative Data
Udit Mehrotra

Udit Mehrotra

Senior Data Scientist, WNS
Ms. Xiaojun Su

Ms. Xiaojun Su

Data Science Product Manager
Asghar Mohammadi

Asghar Mohammadi

Senior Data Scientist
Shannon Schlueter

Shannon Schlueter

Co-Founder, CTO and Data Scientist
Mr. Juan Castillo

Mr. Juan Castillo

Machine Learning Engineer
Rafat Mohammed

Rafat Mohammed

Senior Data Scientist, Advanced Analytics
Tara Ann Thomas

Tara Ann Thomas

Senior Analyst Data Scientist
Mr. Andrew Marlatt

Mr. Andrew Marlatt

Data Scientist - Revenue Expansion
Mustakim Helal

Mustakim Helal

Senior Data Engineer
Lee Tanenbaum

Lee Tanenbaum

Global Director of Data Science and Analytics
Mr. Rohit Dixit

Mr. Rohit Dixit

Senior Data Scientist
Alisher Mansurov

Alisher Mansurov

Assistant Professor
Mustafa Shaikh

Mustafa Shaikh

Senior Data Scientist
Mr. Srikanth Pyaraka

Mr. Srikanth Pyaraka

Data Science Product Manager
Shahzeb Shahid

Shahzeb Shahid

Senior Data Scientist
Andrew Marlatt

Andrew Marlatt

Data Scientist - Revenue Expansion
Mr. Angel Das

Mr. Angel Das

Data Science Consultant
Yusuf Baktir

Yusuf Baktir

Senior Data Scientist
Marco De Virgilis

Marco De Virgilis

Senior Actuarial Data Scientist
Mr. Shirish Gupta

Mr. Shirish Gupta

Lead Data Scientist
Shekhar Tanwar

Shekhar Tanwar

Machine Learning Engineer
Nikhar Shah

Nikhar Shah

Senior Data Scientist
Mr. Vanessa Afolabi

Mr. Vanessa Afolabi

Senior Data Scientist
Mahmudul Hasan

Mahmudul Hasan

Lead Data Scientist
Rohit Dixit

Rohit Dixit

Senior Data Scientist
Mr. Thinesh Pathmanathan

Mr. Thinesh Pathmanathan

Data Scientist
Olha Kuzaka

Olha Kuzaka

Senior Software Engineer 1 - Data, Tech Lead
Nitin Ranjan Sharma

Nitin Ranjan Sharma

Data Scientist
Mr. Grivine Ochieng

Mr. Grivine Ochieng

Lead Data Engineer
Karlos Muradyan

Karlos Muradyan

Data Scientist
Animesh Gupta

Animesh Gupta

Data Scientist
Marcelo Guarido de Andrade

Marcelo Guarido de Andrade

Senior Data Scientist and Head of the CREWES Data Science Initiative
Kandarp Patel

Kandarp Patel

Staff Data Scientist, AI/ML
Ben Brock

Ben Brock

Teaching Assistant to Professor Stuart Urban for Quantitative Financial Analysis course.
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Successful projects by Learners

Gain access to the career transitioning and aspiring projects delivered by our enthusiastic AI professionals and get inspired.

  • Supervised Learning

    A campaign to sell personal loans

    Build a model that helps to identify potential customers of a bank who have a higher probability of purchasing a loan.
    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
  • Ensemble Techniques

    Predict Potential Customers

    Build a model that will help the marketing team of a company to identify potential customers for a term deposit subscription.
    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
  • Feature Engineering & Model Tuning

    Construction Material Strength

    Perform Feature Engineering and Model Tuning on a model designed to predict the strength of construction material to enhance accuracy.
    Learn more
  • Neural Networks, Classification, HR

    Build a neural network model to predict the employee termination

    The project involves using Neural Networks and Classification algorithms to build a model which can predict if an employee is likely to be terminated.
    Learn more
  • Unsupervised Learning

    Bank Customer Segmentation

    Identify different segments from a bank’s existing customer pool based on their spending patterns as well as past interactions with the bank.
    Learn more
  • Web Scraping, Sentiment Analysis, NLP, E-commerce

    Build a sentiment analysis model for an 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
  • Neural Networks

    Identify Street View House Numbers

    Build an Image Classification model to classify street view house numbers using Neural Networks.
    Learn more
  • Natural Language Processing

    Sarcastic News Detection

    Detect sarcastic news headlines using a Recurrent Neural Network architecture on different news headlines.
    Learn more
  • Recommendation Systems

    e-Commerce Recommendation System

    Build your own recommendation system for products on an e-commerce website.
    Learn more
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Testimonials from Learners

Check out the testimonials of our learners as they share their experience of their journey throughout the artificial intelligence and machine learning courses.

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    Endri H

    Post Graduate Program in Artificial Intelligence and Machine Learning

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    Afshan Parkar

    Post Graduate Program in Artificial Intelligence and Machine Learning

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    Dimitris Zografos

    Post Graduate Program in Artificial Intelligence and Machine Learning

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    Everth Hernandez

    Post Graduate Program in Artificial Intelligence and Machine Learning

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    Frank Mokgoloboto

    Post Graduate Program in Artificial Intelligence and Machine Learning

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    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

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    Usha Boddapu

    PGP - Artificial Intelligence for Leaders

Aritifical Intelligence Webinars

Learn from leading experts in Aritifical Intelligence with our webinars. Gain insights & strategies to succeed in the field.

Learner Reviews for Artificial Intelligence Courses

20 Sep 2023
Batch of June 2023 | United States
The no-code AI/ML course offered an accessible and empowering introduction to complex technologies, making it easy for me to grasp and apply AI/ML concepts.The course's practical approach and hands-on use cases created a valuable learning experience, enabling me to build real-world AI and ML solutions without extensive coding knowledge.I appreciate the course's structured content and clear explanations, making it an excellent choice for anyone seeking a user-friendly path to harnessing the power of artificial intelligence and machine learning. I love the interactive sessions and office hours with industry experts and professors. Program lead Kamakshi Joshi Is very proactive and remind on assignments very friendly and knowledgeable. Overall great course..

Program : No Code AI and Machine Learning: Building Data Science Solutions

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01 Apr 2023
Batch of January 2023 | United States
Excellent from first moment of Learning session to very last second, mentor was very enthusiastic about the concepts, very focused on the questions the learners asked, answered all questions and engaged the learners in the subject matter. Provided insights, tips, and recommendations for the data science field, which will help the learners begin to adapt to think like a data scientist. the mentor was very encouraging as well.

Program : PG Program in Artificial Intelligence and Machine Learning

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23 Jan 2023
Batch of July 2022 | Director, Software Engineering at Salesforce | United States
Good information and clarity on the subject. The instructor had a mastery of the subject and was able to explain it with good and clear examples.

Program : PG Program in Artificial Intelligence for Leaders

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19 Sep 2023
Batch of June 2023 | Spain
I felt my enthusiasm grow and grow with each new model, assignment and project. It has been challenging sometimes to gain perspective and allocate time and resources. Being able to fullfil the learning demands of this course have made me more eager to continue learning and to look for opportunities to apply what I learnt. Thank you. I enjoyed every minute!!

Program : No Code AI and Machine Learning: Building Data Science Solutions

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04 Mar 2023
Batch of July 2022 | Modeling Analyst at Nielsen | Mexico
The session was very good and helpful in improving my understanding of the topic and how to address computer vision classification. I found it somewhat difficult to improve the performance of the model on my own but this session will definitely help me in the future.

Program : PG Program in Artificial Intelligence and Machine Learning

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23 Jan 2023
Batch of July 2022 | United States
Extremely good session for AI Leaders! While I appreciate the "how to" for KNIME, it is sessions like this that I was expecting when I enrolled.

Program : PG Program in Artificial Intelligence for Leaders

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19 Sep 2023
Batch of June 2023 | United States
The foundational pre-course learning block was really helpful and worth learning properly: I found it gave me a strong running start for the initial course blocks. The academic quality and program/ administrative quality were both excellent: kudos to both MIT and Great Learning respectively. I found the RapidMiner hands-on experience to be very "tangible" in putting principles into practice. The projects were challenging and interesting; which they account for a relatively small % of the total marks, they provided a disproportionate amount of the learning/ experience valueI think the insight into more advanced capabilities (and tooling) such as Gen AI left me with appetite to learn more in this ML/ AI roadmap

Program : No Code AI and Machine Learning: Building Data Science Solutions

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21 Mar 2023
Batch of January 2023 | United States
The instructor was engaged in the concepts, the audience, questions from the audience in the chat box as well as questions and concerns voiced, the instructor offered many explanations and clarifications, all of which help the learners learn. Overall an excellent learning session.

Program : PG Program in Artificial Intelligence and Machine Learning

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23 Jan 2023
Batch of March 2022 | Chief Transformation Officer at Montepio Crédito | Portugal
A valuable session that was able to structure the subject quite well in my mind. Moreover, the examples, based on problems to address, for each machine learning category helped me to understand better the applications in the real world. Really very good session.

Program : PG Program in Artificial Intelligence for Leaders

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10 Sep 2023
Batch of June 2023 | United States
Professor Nitin Sethi is great mentor. Professor Nitin has great handle on the full attributes of Rapid Miner and the installation , manipulation and attributes of the various datasets. In addition, Prof Nitin combines all of the concepts details of Rapid Miner and how they relate to the course module. It has been my honor to be taught by such a great and knowledgeable mentor. Thank you.

Program : No Code AI and Machine Learning: Building Data Science Solutions

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Frequently Asked Questions

Which AI courses are offered by Great Learning?

Great Learning offers AI courses from some of the most well-renowned institutes in the world, which are as follows:

The University of Texas at Austin

Great Learning

Will I receive a certificate after completing AI courses online?

Yes, you will receive a certificate after successfully completing any of our AI courses online from the institute offering it. For instance, you will receive a certificate from UT Austin upon successful completion of the courses provided in collaboration with them.

Why should I choose AI training courses from Great Learning?

Great Learning offers one of the best Artificial Intelligence programs in the industry, which aids you in becoming a professional AI engineer.

The AI training courses from Great Learning offer numerous benefits, such as:

  • Customized Learning Journey
  • Hands-on Learning Experience
  • Dedicated Career Support
  • Result-Oriented Curriculum
  • Cohort-based Pedagogy
  • World-Class Faculty and Mentors

Great Learning offers numerous other benefits. Check out our AI courses for more details.

How are the reviews of AI courses from Great Learning?

The reviews of AI courses from Great Learning are genuinely extraordinary. Many learners, from students to working professionals, have appreciated these Artificial Intelligence programs.

Read the testimonials of our learners who have successfully completed our online AI courses. [link]

What are some of the best Artificial Intelligence programs for working professionals?

The University of Texas at Austin and Great Learning have collaborated to offer a few of the best Artificial Intelligence programs for working professionals.

Explore more about our PG Program in AI for Leaders & AIML.

What is the duration of AI training courses at Great Learning?

The duration of AI training courses at Great Learning varies from program to program, depending on the curriculum, institute, etc. They range from 4 to 6 months.

What is the fee structure for AI courses in Great Learning?

Similar to the course duration, the fee structure varies from program to program, depending on the curriculum, institute, etc. [View all AI courses]

What are the eligibility criteria for online AI courses from Great Learning?

  • Post Graduate Program in Artificial Intelligence & Machine Learning: Business Applications -For undergraduate students and working professionals, Recommended for those with prior basic programming experience.
  • Post Graduate Program in Artificial Intelligence for Leaders - For business leaders, mid to senior-level working professionals, etc.
  • Applications of Artificial Intelligence Program - For high school students, from 9th to 12th grade.