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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 and 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

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    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

Our Faculty

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

Dr. Abhinanda  Sarkar

Dr. Abhinanda Sarkar

Faculty Director, Great Learning

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

Connor Hagen

Connor Hagen

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

Munther Dahleh

Munther Dahleh

MIT

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

Javad Katibai

Javad Katibai

Chassis System Architect - General Motors

Vinicio DeSola

Vinicio DeSola

Senior Data Scientist, Aspen Capital

Itti Singh

Itti Singh

Lead, Business Consulting Delivery

Sashi Kiran Challa

Sashi Kiran Challa

ML Solutions Consultant - Corteva Agriscience

Mukesh Lal

Mukesh Lal

Head, Data Science

Benito Lopez

Benito Lopez

VP Model Risk & Validation - Sumitomo Mitsui Banking Corporation

Dr. Pavankumar Gurazada

Dr. Pavankumar Gurazada

Faculty - Business and AI, Great Learning

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

Dr. Dave Schippers

Dr. Dave Schippers

VP and Academic Dean

Fouad K.

Fouad K.

Senior Business Analyst - Halifax Regional Municipality

John N. Tsitsiklis

John N. Tsitsiklis

MIT

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

Ashkan Saidinejad

Ashkan Saidinejad

Data Scientist, Intact

Anuj  Saini

Anuj Saini

AI Research Scholar,Université de Montréal

Jeremy Samuelson

Jeremy Samuelson

Principal Data Scientist & ML Engineer

Hossein Kalbasi

Hossein Kalbasi

Senior Data Scientist,Mercator AI

Dr. Hong Cui

Dr. Hong Cui

Professor, School of Information

Davood  Wadi

Davood Wadi

Artificial Intelligence Researcher, HEC Montréal

Caroline Uhler

Caroline Uhler

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

James Gerrity

James Gerrity

PhD, Adjunct Associate Professor

Ankur Moitra

Ankur Moitra

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

Randhir Agarwal

Randhir Agarwal

Director, Data Science

Balaji Sundararaman

Balaji Sundararaman

Ex Director, CyberPlat India

Fred  Premji

Fred Premji

Principal AI/ML Engineer, OPTMAL

Thomas Petz

Thomas Petz

CIO/COO, Assistant Professor of IT

Dr. Bryan Heidorn

Dr. Bryan Heidorn

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

Hassan  Saidinejad

Hassan Saidinejad

Data Scientist, Intact

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

Christopher Heiden

Christopher Heiden

Program Lead at IT, Associate Professor of Business Information Technology

Dr. Peter Jansen

Dr. Peter Jansen

Assistant Professor, School of Information

Vishnu  Subramanian

Vishnu Subramanian

B.Tech + M.Tech (IIT Kharagpur)

Lead Data Scientist ,Great Learning

Guy Bresler

Guy Bresler

Associate Professor, EECS and IDSS, MIT

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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Our Industry Mentors

Learn from our skilled industry practitioners from the most reputable 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
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
Ms. Mayan Murray

Ms. Mayan Murray

Senior Data Scientist and UX Consultant
Nimish Srivastava

Nimish Srivastava

Senior Machine Learning Engineer
Mr. Vibhor Kaushik

Mr. Vibhor Kaushik

Data Scientist
Franck Tchuente

Franck Tchuente

Senior Data Scientist
Vybhav Reddy K C

Vybhav Reddy K C

Senior Data Scientist
Mr. Amit Agarwal

Mr. Amit Agarwal

Senior Data Scientist
Fahad Akbar

Fahad Akbar

Senior Manager Data Science
Mr. Kemal Yilmaz

Mr. Kemal Yilmaz

Senior Data Scientist
Dipjyoti Das

Dipjyoti Das

Staff Data Scientist
Ms. Xiaojun Su

Ms. Xiaojun Su

Data Science Product Manager
Udit Mehrotra

Udit Mehrotra

Data Science Specialist
Omid Badretale

Omid Badretale

Senior Research Data Scientist | Alternative Data
Mr. Juan Castillo

Mr. Juan Castillo

Machine Learning Engineer
Shannon Schlueter

Shannon Schlueter

Director of Data Science
Asghar Mohammadi

Asghar Mohammadi

Senior Data Scientist
Rafat Mohammed

Rafat Mohammed

Senior Data Scientist, Advanced Analytics
Mr. Andrew Marlatt

Mr. Andrew Marlatt

Data Scientist - Revenue Expansion
Mustakim Helal

Mustakim Helal

Senior Data Engineer
Mr. Rohit Dixit

Mr. Rohit Dixit

Senior Data Scientist
Mr. Srikanth Pyaraka

Mr. Srikanth Pyaraka

Data Science Product Manager
Alisher Mansurov

Alisher Mansurov

Assistant Professor
Shahzeb Shahid

Shahzeb Shahid

Senior Data Scientist
Mr. Angel Das

Mr. Angel Das

Data Science Consultant
Marco De Virgilis

Marco De Virgilis

Actuarial Data Scientist Manager
Mr. Shirish Gupta

Mr. Shirish Gupta

Lead Data Scientist
Yusuf Baktir

Yusuf Baktir

Senior Data Scientist
Mr. Vanessa Afolabi

Mr. Vanessa Afolabi

Senior Data Scientist
Shekhar Tanwar

Shekhar Tanwar

Machine Learning Engineer
Mahmudul Hasan

Mahmudul Hasan

Lead Data Scientist
Mr. Thinesh Pathmanathan

Mr. Thinesh Pathmanathan

Data Scientist
Mr. Grivine Ochieng

Mr. Grivine Ochieng

Lead Data Engineer
Olha Kuzaka

Olha Kuzaka

Senior Software Engineer 1 - Data, Tech Lead
Karlos Muradyan

Karlos Muradyan

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 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.

  • 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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    Deepa Chandrasekaran

    Post Graduate Program in Artificial Intelligence and Machine Learning

  • user image

    Tauhid Abddul Jalil

    PGP - Artificial Intelligence for Leaders

  • 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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08 Jun 2024
Batch of December 2022 | Engineering Specialist at Saudi Aramco | Singapore
I enrolled in this program because I wanted to enhance my expertise in AI and Machine Learning. Completing UT Austin's <add program name> has empowered me to apply these technologies in healthcare at Saudi Aramco. The program's exceptional material and teaching methods helped me excel Despite not having any prior knowledge of Python programming, I have been able to develop applications of Artificial Intelligence in healthcare and all this is because of the high level of teaching methodology. Now, I lead AI research in critical areas like breast cancer, cardiovascular diseases, and COVID-19.

Program : Post Graduate Program in Artificial Intelligence and Machine Learning

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05 Apr 2024
Batch of March 2023 | Senior Associate at Cognizant
Great Learning has been a true blessing in my educational journey. The team's proactive approach to addressing concerns and enabling access to renowned universities on a limited budget is commendable. Thank you for helping students like me to achieve their goals.

Program : MS in Information Science: Machine Learning

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05 Apr 2024
Batch of March 2023 at Oracle
The comprehensive curriculum, clear explanations, and practical examples made the learning easy. The instructors were highly responsive and supportive. The flexibility in assignment submissions was particularly helpful. Overall, my experience with the program at Great Learning has been extremely positive, and I highly recommend it for those seeking to enhance their skills in this field.

Program : MS in Information Science: Machine Learning

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05 Apr 2024
Batch of July 2023
Great Learning has exceeded my expectations in every aspect since I enrolled in the program. The team's professionalism and genuine commitment are evident throughout. Their expert faculties offer unparalleled knowledge and guidance, demonstrating a clear passion for teaching. Their unwavering support ensures my academic growth.

Program : MS in Information Science: Machine Learning

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08 Jun 2024
Batch of September 2022 | Associate Consultant at KPMG | United Arab Emirates
The program was highly relevant and engaging. The assessments were fun and challenging, pushing you to think outside the box and perfectly simulating real-world scenarios. The Program Managers were extremely helpful and considerate, ensuring everyone reached their potential. The program was extensive, covering a lot of ground from the basics. After completing it, I gained a lot of confidence in my skills.

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

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29 Apr 2024
Batch of March 2023 | Data science analyst at Accenture applied intelligence
This program has significantly elevated my learning and career journey. Before joining the program, I had some concerns about the program's worth in terms of both fees and the comprehensiveness of covered concepts. However, I must say that the experience was truly amazing. I had access to all the necessary learning resources required for the program, and both the industry and faculty sessions have been exceptionally valuable and interactive. I'm particularly pleased with how the curriculum facilitates learning new things, especially the inclusion of Gen Al-related topics. I also appreciate the team’s approachability and responsiveness in addressing our concerns then and there.

Program : MS in Information Science: Machine Learning

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08 Jun 2024
Batch of April 2022 | Sr. Software Engineer at Motorola Solutions | United States
I had a great experience with Great Learning, completing the PG program in Artificial Intelligence and Machine Learning from the University of Texas at Austin. The mentors and professors were incredibly knowledgeable, and the syllabus was well-structured. The projects and assignments helped me understand the topics thoroughly. Special thanks to the Program Manager for her continuous motivation and guidance throughout the course, even assisting with doubts regarding quizzes and assignments.

Program : Post Graduate Program in Artificial Intelligence and Machine Learning

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27 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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08 Jun 2024
Batch of April 2022 | Sr Application Developer at Highmark Inc | United States
The program content was well-documented with real-time examples, aiding my understanding. The faculty members were fantastic, patiently addressing our questions and ensuring all topics were covered thoroughly. The Program Manager was always available to help, and understood individual needs despite the time zone differences. Thanks to the team for a great learning experience.

Program : Post Graduate Program in Artificial Intelligence and Machine Learning

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Frequently Asked Questions

Which is the best AI course for beginners?


Artificial Intelligence career aspirants can begin by learning from the No Code AI and Machine Learning course, offering Data Science solutions. This is one of the best AI courses online, designed for individuals from any background willing to expand their knowledge and skills without coding experience.

Are there any online courses on Generative AI?


Yes. Generative AI is expansive and is applied across industries in today's progressive technologies. Generative AI for Business with Microsoft Azure OpenAI addresses business complexities through modules like prompt engineering and large language models to derive data-driven solutions.

Do these AIML courses cover ethical considerations of AI development and deployment?


Yes. Each Post Graduate Program in Artificial Intelligence and Machine Learning curriculum is designed with careful consideration for ethical applications. These courses guide students in solving technological complexities using AI and machine learning techniques across industries and do not violate ethical considerations.

How many AI certification programs will learners be allowed to take at a time?


Learners can take any number of courses on Artificial Intelligence. However, it is recommended to enroll in one course at a time to learn from them full-fledged and gain the best of it. 

What are the prerequisites for enrolling in these AI and Machine Learning courses?


Each of these AI online and hybrid courses has varied eligibility requirements. Few of them are designed for both beginners and AIML professionals, while others serve to deepen individuals' knowledge. Some courses also address business requirements. Please understand your requirements, read through the program brochures, and enroll in the best Artificial Intelligence course that meets your requirements.

Do these AI and Machine Learning courses offer any project-based learning opportunities?


Yes. These online and hybrid AIML courses include industry-relevant case studies, practice projects, and capstone projects to enable learners to lead the AI industry.

What are the fee structures and duration for these AI courses?

The program fees and duration for each of the AIML courses along with the universities offering them and the mode of learning are listed below. 

 

Program

University

Duration & Mode of Learning

Fee

PGP - Artificial Intelligence & Machine Learning

UT Austin

12 months Online Mentorship

4,200 USD

PGP - Artificial Intelligence for Leaders

UT Austin

5 months Online Learning

3,100 USD

Generative AI for Business with Microsoft Azure OpenAI

Microsoft Azure

16 weeks Online Learning

1,700 USD

No Code AI and Machine Learning: Building Data Science Solutions

MIT Professional Education

12 weeks Online Program

2,850 USD

 

*Note: The fee structure is indicative and subject to change. Please visit the program page or contact your program advisor to understand the details.

Are these AI certifications equivalent to a degree earned by on-campus students?


Yes. These certification programs are equivalent to on-campus/traditional degrees. Each of these courses are designed by industry practitioners, mentors from top organizations and proficient faculties from world-renowned universities.

Will there be financial aid assistance for these AI certificate programs?


Yes. Learners can take these courses with installment, loan, and other payment options. Payment partners for financial aid include Liquiloans, Propelld, Eduvance, Gyandhan, and others. Please get in touch with your program manager or visit the program page of your choice to understand these support services better.

What kind of support does Great Learning provide after completing the Artificial Intelligence courses?

Great Learning offers 360º advantage to all the program participants. These support services mostly include: 
 

  • E-Portfolio Development: Great Learning offers a prepared solution to showcase your skills and accomplishments with a professional e-portfolio. This shareable online portfolio allows learners to highlight all projects and acquired skills, making a strong impression on potential employers.
     

  • Resume & Interview Coaching: Learners get expert guidance on crafting a compelling resume that effectively highlights their AIML skills and relevant experience. With dedicated preparation sessions, they can master the interview process, boosting their confidence and interview performance.
     

  • Career Mentoring: Learners benefit from personalized career guidance from industry experts who have successfully transitioned into AIML roles. They also gain valuable insights on career paths, building your network, and navigating the job market.
     

  • Job Board Access: Program participants get a head start on their job search with exclusive access to a job board featuring opportunities from over 3,300+ organizations actively seeking AIML talent. Many past program graduates have secured significant salary increases through these connections.
     

  • Expert Industry Connections: Great Learning boasts an extensive network of industry professionals. Learners gain access to this valuable resource, potentially fostering connections and mentorship opportunities.
     

  • Streamlined Application Support: Great Learning simplifies the application process by providing:
     

  1. SOP Review: Sample formats guide aspirants in crafting strong Statements of Purpose.
     

  2. Application Assistance: Counselors offer personalized video call support to ensure accurate application completion.
     

  3. I-20 & Visa Guidance: They assist with securing financial documents, applying for the I-20 form, scheduling visa appointments, and preparing for visa interviews for study abroad programs.
     

Enhanced Preparedness: Great Learning offers pre-course work to strengthen participants' foundational knowledge in Python, statistics, and other relevant concepts. This helps ensure they are well-prepared for the program's rigors

 

Can aspirants take up individual courses or enroll in a complete AI program?


Each of these AIML certifications is a complete program. There are electives and optional modules that learners can select from depending on their interests and career requirements. However, Great Learning also offers free online courses to help aspirants learn individual topics and gain certificates.

What are the career paths after completing AIML courses?

  • Pioneering the Future: Research Scientist or Engineer

Be at the forefront of innovation. Develop cutting-edge AI systems for machine learning, pushing the boundaries of what's possible. Imagine working on projects that could revolutionize industries.

 

  • Building Intelligent Systems: Machine Learning Engineer

Become an architect of intelligent solutions. With your AIML expertise, you can design and build ML models that power intelligent applications used by millions. This path allows you to see the real-world impact of your work.

 

  • The Data Expert: Data Scientist

Unleash the power of data! Your AIML skills make you a data scientist powerhouse. Extract valuable business insights from complex datasets, enabling companies to make smarter decisions.

 

  • Human-Centered Design:  Human-Computer Interaction (HCI) Specialist

Bridge the gap between humans and machines. Your understanding of AIML helps you design user interfaces that are intuitive and natural, ensuring a seamless user experience.

 

  • The Strategist:  AI Product Manager

Lead the charge in creating impactful AI products. Combine your business acumen with your AIML knowledge to develop and launch AI-powered solutions that solve real-world problems.
 

  • The Creative Spark: Generative AI Specialist

Shape the future of creative content. With your AIML expertise, you can delve into the world of generative AI, crafting everything from captivating art and music to innovative marketing campaigns.

 

  • The Language Maestro: Natural Language Processing (NLP) Engineer

Break down language barriers. Your understanding of AIML equips you to build NLP engines that can translate languages, analyze text sentiment, and even power intelligent chatbots.

 

  • The Optimizer: Reinforcement Learning Engineer

Design intelligent agents that learn and adapt. Use your AIML skills to create AI systems that can make optimal decisions in dynamic business environments, perfect for applications like robotics and game development.

 

  • Secure Technology: AI Safety Engineer

Ensure responsible AI development. The ethical implications of AI are crucial, and your AIML knowledge combined with safety expertise allows you to build trustworthy and responsible AI systems.

 

  • The Entrepreneur: AI Startup Founder

Turn your vision into reality. The skills you gain from AIML courses empower you to launch your own AI-powered startup, tackling challenges and shaping the future with innovative solutions. This path allows you to be your own boss and make a real-world impact.

 

The possibilities with AIML are vast, and your skills can be applied to various industries like healthcare, finance, and entertainment. The knowledge you gain opens doors to a dynamic and ever-evolving field.

 

What is the average salary for AI and Machine Learning professionals?

The demand for AI and Machine Learning professionals is skyrocketing, and with it, so are salaries. While the exact package can vary based on experience, location, and specific role, the salary can be as high as,
 

  • Entry-level: $113,992 to $115,458 per annum

  • Mid-level: $146,246 to $153,788 per annum

  • Senior-level: $202,614 to $204,416 per annum

 

The rough salary estimate for AI and machine learning professionals can be based on the following factors,
 

  • Competitive Starting Salaries: Even entry-level AI and Machine Learning professionals can command competitive salaries, often significantly higher than the national average.  This allows you to start your career strong financially.
     

  • Salary Growth Potential: The field of AI and Machine Learning is constantly evolving, and so are the earning opportunities.  As you gain experience and expertise, your salary has the potential to grow significantly, putting you in a strong financial position.
     

  • High-Demand Skills, High Value: With AIML skills, you become a valuable asset to any company. This high demand translates to increased earning potential and better job security.