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.
Artificial Intelligence Certificate Courses
PG Program in Artificial Intelligence and Machine Learning6 Months | Online
PG Program in Artificial Intelligence for Leaders4 Months | Online
Applied Data Science Program12 Weeks | Live Virtual
MIT Data Science and Machine Learning Program12 weeks | Online
No Code AI and Machine Learning: Building Data Science Solutions12 Weeks | Online
Artificial Intelligence Degree Courses
Form submitted successfully
We are allocating a suitable domain expert to help you out with program details. Expect to receive a call in the next 4 hours.
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?
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.
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.
Great Learning has designed AI courses whose duration ranges from 4 to 6 months. Choose the one that fits best for you.
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.
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.
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.
The mentor team of the AI training courses comprises many experienced industry-practitioners from top-notch organizations.
Senior Data Scientist Consultant
Data Scientist & Strategy Consultant
Senior Data Scientist
Senior Lead, Data Science
Sr. Manger of BI and Analytics
Dell EMC (US)
Sang H Han
Exxon Mobil (US)
Applied Data Scientist
Kalle BylinProduct Engineer
Data Science Consultant
Sterling Bank Plc (Nigeria)
Idris MalikSoftware Engineer, Machine Learning
Bradford TuckfieldFounder and Data Science Consultant
Mr. Bradford TuckfieldFounder and Data Science Consultant
Ram Thilak Prem Kumar
Global Head of Data Science
Inchcape Plc (Singapore)
Vaibhav VerdhanAnalytics Leader, Global Advanced Analytics
Nimish SrivastavaSenior Machine Learning Engineer
Omar AttiaSenior Machine Learning Engineer
Ms. Mayan MurraySenior Data Scientist and UX Consultant
Franck TchuenteSenior Data Scientist
Selcuk BaranResearch Science Manager
Mr. Vibhor KaushikData Scientist
Vybhav Reddy K CSenior Data Scientist
Matt NickensManager, Partnership Science
Mr. Amit AgarwalSenior Data Scientist
Dipjyoti DasStaff Data Scientist
Fahad AkbarCo-Founder & Core Contributor
Mr. Kemal YilmazSenior Data Scientist
Omid BadretaleSenior Research Data Scientist | Alternative Data
Udit MehrotraSenior Data Scientist, WNS
Ms. Xiaojun SuData Science Product Manager
Asghar MohammadiSenior Data Scientist
Shannon SchlueterCo-Founder, CTO and Data Scientist
Mr. Juan CastilloMachine Learning Engineer
Rafat MohammedSenior Data Scientist, Advanced Analytics
Tara Ann ThomasSenior Analyst Data Scientist
Mr. Andrew MarlattData Scientist - Revenue Expansion
Mustakim HelalSenior Data Engineer
Lee TanenbaumGlobal Director of Data Science and Analytics
Mr. Rohit DixitSenior Data Scientist
Alisher MansurovAssistant Professor
Mr. Srikanth PyarakaData Science Product Manager
Shahzeb ShahidSenior Data Scientist
Mr. Angel DasData Science Consultant
Yusuf BaktirSenior Data Scientist
Mustafa ShaikhSenior Data Scientist
Mr. Shirish GuptaLead Data Scientist
Shekhar TanwarMachine Learning Engineer
Andrew MarlattData Scientist - Revenue Expansion
Mr. Vanessa AfolabiSenior Data Scientist
Mahmudul HasanLead Data Scientist
Marco De VirgilisSenior Actuarial Data Scientist
Mr. Thinesh PathmanathanData Scientist
Olha KuzakaSenior Software Engineer 1 - Data, Tech Lead
Nikhar ShahSenior Data Scientist
Mr. Grivine OchiengLead Data Engineer
Karlos MuradyanData Scientist
Rohit DixitSenior Data Scientist
Marcelo Guarido de AndradeSenior Data Scientist and Head of the CREWES Data Science Initiative
Nitin Ranjan SharmaData Scientist
Kandarp PatelStaff Data Scientist, AI/ML
Animesh GuptaData Scientist
Ben BrockTeaching Assistant to Professor Stuart Urban for Quantitative Financial Analysis course.
Successful projects by Learners
Gain access to the career transitioning and aspiring projects delivered by our enthusiastic AI professionals and get inspired.
A campaign to sell personal loansBuild a model that helps to identify potential customers of a bank who have a higher probability of purchasing a loan.
EDA, Visualization, BFSI
Identifying potential customers to target for a marketing campaignThe project involves using visualization techniques to derive valuable insights about the data to help build a targeted bank marketing campaign.
Predict Potential CustomersBuild a model that will help the marketing team of a company to identify potential customers for a term deposit subscription.
Applications of AI, POC, & Market Analysis
Ideating steps involved in conceptualizing an AI productThe 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.
Feature Engineering & Model Tuning
Construction Material StrengthPerform Feature Engineering and Model Tuning on a model designed to predict the strength of construction material to enhance accuracy.
Neural Networks, Classification, HR
Build a neural network model to predict the employee terminationThe project involves using Neural Networks and Classification algorithms to build a model which can predict if an employee is likely to be terminated.
Bank Customer SegmentationIdentify different segments from a bank’s existing customer pool based on their spending patterns as well as past interactions with the bank.
Web Scraping, Sentiment Analysis, NLP, E-commerce
Build a sentiment analysis model for an E-commerce productThe project involves scraping data from online E-commerce website and analyzing it to understand the sentiment of the customers regarding our product.
Identify Street View House NumbersBuild an Image Classification model to classify street view house numbers using Neural Networks.
Natural Language Processing
Sarcastic News DetectionDetect sarcastic news headlines using a Recurrent Neural Network architecture on different news headlines.
e-Commerce Recommendation SystemBuild your own recommendation system for products on an e-commerce website.
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
Managing Director, MGIBA Technologies (South Africa)
Program : PG Program in Artificial Intelligence and Machine Learning
Aritifical Intelligence Webinars
Learn from leading experts in Aritifical Intelligence with our webinars. Gain insights & strategies to succeed in the field.
Introduction to Generative AI and what it means to the world of NLP
17 June 2023 | 08:00AM CDT
How Google Leverages AI and ML to Enhance Search Intelligence
21 June 2023 | 11:00AM CDT
Software Engineer II - Machine Learning, Microsoft
[Masterclass] AI for Business Leaders
22 June 2023 | 11:00AM CDT
Specialist Leader, Conversational and Generative AI, Delloite Consulting
Predicting Flight Fares with Data Science
25 January 2023 | 10:00AM GMT
Head of Data Science and Engineering, Equity Bank Limited
[Sesión interactiva] Introducción a la Ciencia de Datos y Machine Learning
18 November 2022 | 11:30AM CST
Sr. Machine Learning Engineer, Andium
[Live Workshop] Using deep learning for e-Commerce product catalog management
15 November 2022 | 12:00PM EST
Bhaskarjit Samah Sarmah
Data Scientist, Black Rock
Predicting Electricity Generation from Windmill Power
20 January 2023 | 11:00AM CST
Christian Heiko Ritter
Lead Data Scientist, Stastics Canada
ChatGPT - Conoce el potencial del nuevo ChatBot de OpenAI
24 February 2023 | 12:00PM CST
Juan Carlos Medina Serrano
Científico de datos sénior en Nubank
Ask Me Anything | AI can elevate your career- Sonia Jassal, PGP-AIML alumnus
22 September 2021 | 11:00AM CDT
Ms. Sonia Jassal
Principal Engineer at Genentech
AI can elevate your career- William Tyler, PGP-AIML alumnus
16 August 2021 | 11:00AM CDT
Mr. William Tyler
Senior Associate Consultant, Infosys
Learner Reviews for Artificial Intelligence Courses
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
- Post Graduate Program in Artificial Intelligence & Machine Learning: Business Applications - For undergraduate students and working professionals
- Post Graduate Program in Artificial Intelligence for Leaders
- Applications of Artificial Intelligence Program - For high-school students, from 9th to 12th grade
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?
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.