Introduction to Artificial Intelligence

Artificial Intelligence Free Certificate Course

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82.7K+ Learners
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Beginner

Step into the world of AI with this free Introduction to Artificial Intelligence course. Get familiar with the basics of AI, NLP, and computer vision and comprehend neural networks and deep neural networks in detail.

What you learn in Introduction to Artificial Intelligence ?

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Fundamentals of Artificial Intelligence
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Neural networks
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Basics of Natural Language Processing (NLP)
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Fundamentals of Computer Vision
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Tasks involved in Computer Vision

About this Course

This introductory course on Artificial Intelligence is the best fit for beginners who wants to comprehend What Artificial Intelligence is from scratch. The free course starts by giving you an overview of AI and the domains it is directly connected to. Learn neural networks and understand how artificial neural networks are interconnected with biological neurons, and gain knowledge on deep neural networks. Understand Natural Language Processing (NLP) better with the help of sentiment analysis and chatbot examples. 

 

Comprehend the basics of computer vision and understand various crucial tasks involved. Enhance your practical knowledge of AI and computer vision with the help of image classification, face recognition and video and traffic analytics examples. Complete all the modules along with a quiz at the end of this Artificial Intelligence free course and earn a free certificate of course completion.

 

Gain a deeper understanding of AI through Great Learning’s Best Artificial Intelligence Courses. Enroll in the course that aids your career development and earn a certificate of course completion.

Course Outline

Introduction to AI

This module briefly introduces you to Artificial Intelligence. Understand what artificial intelligence is and all the domains where it has a stronghold.
 

Neural Networks

Learn in detail about Neural Networks, the special part of Machine Learning that connects to Artificial Intelligence. Comprehend computer versions of Artificial Neural Networks along with biological neurons and how they are interconnected. Also, get an in-depth understanding of deep neural networks.
 

Introduction to natural language processing

Get introduced to Natural Language processing in detail through this module. Understand what NLP is and its current need in industries. Comprehend it better with the two popular examples of sentiment analysis and chatbot.
 

Introduction to computer vision

This module will help you understand computer vision from the basics. You will comprehend the term better with the help of examples and understand the tasks it includes, like image classification, segmentation, video analysis, and more.
 

Computer vision examples

This module enhances your practical knowledge of computer vision and Artificial Intelligence through examples of image classification, face recognition, and video and traffic analytics.
 

Our course instructor

Dr. Abhinanda Sarkar

Faculty Director, Great Learning

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3.7L+ Learners
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17 Courses
Dr. Abhinanda Sarkar is the Academic Director at Great Learning for Data Science and Machine Learning Programs. Dr. Sarkar received his B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He has taught applied mathematics at the Massachusetts Institute of Technology (MIT); been on the research staff at IBM; led Quality, Engineering Development, and Analytics functions at General Electric (GE); served as Associate Dean at the MYRA School of Business; and co-founded OmiX Labs.

Dr. Sarkar’s publications, patents, and technical leadership have been in applying probabilistic models, statistical data analysis, and machine learning to diverse areas such as experimental physics, computer vision, text mining, wireless networks, e-commerce, credit risk, retail finance, engineering reliability, renewable energy, and infectious diseases, His teaching has mostly been on statistical theory, methods, and algorithms; together with application topics such as financial modeling, quality management, and data mining.

Dr. Sarkar is a certified Master Black Belt in Lean Six Sigma and Design for Six Sigma. He has been visiting faculty at Stanford and ISI and continues to teach at the Indian Institute of Management (IIM-Bangalore) and the Indian Institute of Science (IISc). Over the years, he has designed and conducted numerous corporate training sessions for technology and business professionals. He is a recipient of the ISI Alumni Association Medal, IBM Invention Achievement Awards, and the Radhakrishan Mentor Award from GE India

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Introduction to Artificial Intelligence

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1.0 Hours

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