Why Great Learning?

Great Learning, being one of world’s most trusted EdTech offers a range of Artificial Intelligence courses at Great Lakes that consolidate other domains such as Data Science, Machine Learning, Business Analytics, and more.

Customised Learning Journey

Learn Artificial Intelligence with Great Learning today. Check out the artificial intelligence course fees, duration, eligibility, curriculum, and more, and pick the best Artificial Intelligence course that meets your specifications.

Hands on Experiential Learning

Partake in multiple lab sessions and work on real-time Artificial Intelligence projects that promote hands-on knowledge and expertise.

Dedicated Program Support

Our profoundly experienced mentors will provide you with personalized assistance throughout your learning journey. Our mentors assist you to encounter a successful career breakthrough.

Result-oriented Curriculum

Comprehensive curriculum composed to fetch you with brief knowledge and expertise on several Artificial Intelligence subjects and tools. Check out the Artificial Intelligence Course Syllabus

Cohort Based Pedagogy

Get access to a collaborative learning fashion and gain an accurate understanding of AI & ML tools and techniques.

Learning Analytics

Learn analytical tools and gain expertise. Become job-ready by mastering several tools and techniques of AI and ML.

Top Faculties

The faculty team of the Artificial Intelligence training includes top AI academicians who possess exceptional experience and are alumni of world-renowned universities.

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

Modyo (Colombia)

Evans Otalor
Evans Otalor

Data Science Consultant

Sterling Bank Plc (Nigeria)

Ram Thilak Prem Kumar
Ram Thilak Prem Kumar

Data Scientist

Mercedes-Benz Cars (Singapore)

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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Neural Networks

Identify Street View House Numbers

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

Sarcastic News Detection

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

e-Commerce Recommendation System

Build your own recommendation system for products on an e-commerce website.
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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.

It gave us a very good and very real view of the world in our context. I could apply some of the algorithms in the healthcare industry that would help us improve our applications and products. From the support perspective, it has been very helpful and responsive

Frank Mokgoloboto

Managing Director, MGIBA Technologies (South Africa)

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

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Learner Reviews for our Artificial Intelligence Programs

03 Jun 2021
Batch of October 2020 | United Arab Emirates
The mentor is very supportive. he always guide us so well ..he clears all our doubts at the moment itself..

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

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31 May 2021
Batch of February 2021 | United Arab Emirates
The best program, so far. Very insightful. Appreciate it

Program : PG Program in Artificial Intelligence for Leaders

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09 Jun 2021
Batch of May 2021 | Injury Compensation Adjuster at Assurance America | United States
The instructor was very confident. He was very useful

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

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22 May 2021
Batch of May 2021 | Program Manager Legal & Compliance It at Ubs Investment Bank | United States
Mr. Karthikeyan Sankaran's industry session was an absolute delight to attend. He is very insightful and his interactive presentations and real-life examples were informative and kept us all engaged throughout the session.

Program : PG Program in Artificial Intelligence for Leaders

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16 May 2021
Batch of October 2020 | Technical Director at Charles Schwab | United States
The faculty is very passionate and engages students in the class..

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

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26 Apr 2021
Batch of December 2020 | United States
Excellent and very insightful program. Very informative. Instructor is excellent.

Program : PG Program in Artificial Intelligence for Leaders

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08 Jun 2021
Batch of April 2021 | United States
Overall good program. Mentor was able to provide the related industry examples and the explanation of concepts was through.

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

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22 May 2021
Batch of May 2021 | United States
I am not an expert in computer science and the deep technological applications of computers, but the expertise Mr. Sankaran showed with AI/ML application in the real world helped to understand the utility and constraints of AI/ML applications in business.

Program : PG Program in Artificial Intelligence for Leaders

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07 Jun 2021
Batch of April 2021 | Member Board Of Trustees at City Of Bernice | United States
Overall very good. Mentor knew the subject matter very well. Had some confusion surrounding establishing thresholds and relationship with the performance of the logistical regression model.

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

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18 Apr 2021
Batch of December 2020 | United States
Very deep knowledge and enjoyed the industry functional knowledge and Q&A with practical live examples from team and answering the questions and so many helpful links and case studies. Very well presented.

Program : PG Program in Artificial Intelligence for Leaders

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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?

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?

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?

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 is the pay scale offered in the domain of Artificial Intelligence?

The pay scale offered in the domain of Artificial Intelligence is one of the major factors that is inspiring many professionals to pursue a career in AI. The job roles offered in this domain are considered to be one of the highest-paid across the world. In the United States, the salary scale of AI and Machine Learning professionals ranges from $90k to $305k per annum, says Ziprecruiter. The average Artificial Intelligence Engineer Salary is expected to be $164,769 per annum.

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.

Career paths in Artificial Intelligence

The job roles offered in the technologies of Artificial Intelligence and Machine Learning are highly fascinating. Many professionals aspire to get into the job roles offered in this domain. Here are some of the most-famous job roles in AI:
 

  • Machine Learning Engineer.
  • AI Engineer.
  • Business Intelligence Developer.
  • Data Scientist.
  • AI Research Scientist.
  • Robotics Scientist.
  • AI Data Analyst.
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.