Email address

Password

Email address

Enter a valid email address

Artificial Intelligence Free Course

Name: Introduction to Artificial Intelligence
Rating: 4.47 (22146 reviews)

Introduction to Artificial Intelligence

Updated with GenAI for 2026

4.47 Beginner level 3.0 learning hrs 214.5K+ Learners

Learn the fundamentals of Artificial Intelligence, including neural networks, natural language processing, and computer vision. Enroll in our free AI course and gain practical knowledge through real-world examples.

Instructor:

Dr. Abhinanda Sarkar

Stand out with an industry-recognized certificate

Start learning

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Skills you will gain

Fundamentals of Artificial Intelligence

Neural networks

Basics of Natural Language Processing (NLP)

Fundamentals of Computer Vision

Tasks involved in Computer Vision

What you’ll learn

Grasp fundamental concepts of Artificial Intelligence.

Understand the basics of machine learning and neural networks.

Identify real-world applications of AI across industries.

Evaluate future trends in AI technology.

Key Highlights

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

About this course

This free Artificial Intelligence (AI) course provides a solid foundation in key AI concepts, enabling you to apply these skills in practical and real-world settings. By the end of the course, you'll be well-equipped to tackle Artificial Intelligence (AI) challenges across various industries, from building neural networks to implementing advanced computer vision techniques.

In this course, you’ll start with an overview of Artificial Intelligence and explore its impact across various industries. You’ll learn about neural networks, understanding how they connect to machine learning and biological neurons, and gain a solid understanding of deep neural networks. The course also covers Natural Language Processing (NLP), explaining its role in real-world applications like sentiment analysis and chatbots. You’ll study the basics of computer vision and its uses in image classification, segmentation, and video analysis. Finally, you’ll build on your knowledge with real-world examples of computer vision, such as face recognition and traffic analytics.

Stand out with an industry-recognized certificate

Start learning

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Course outline

Fundamentals of Artificial Intelligence (AI) and Industry Domains

Define Artificial Intelligence (AI) and differentiate it from traditional algorithmic programming. Explore core AI domains including Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision (CV), analyzing their strategic deployment across modern industries.

Computer Vision (CV) Fundamentals: Classification and Segmentation

Master the foundational tasks of Computer Vision (CV). Extract actionable features from visual data to execute Image Classification, Object Detection, Semantic Segmentation, and continuous Video Analysis.

Artificial Neural Networks (ANN) and Deep Learning Architecture

Deconstruct the architecture of Artificial Neural Networks (ANN). Map the functional relationship between biological neurons and artificial perceptrons. Analyze multi-layered Deep Neural Networks (DNN) for complex Machine Learning feature extraction.

Natural Language Processing (NLP): Sentiment Analysis and Chatbots

Process and analyze human language data using Natural Language Processing (NLP). Implement industry-standard text analysis techniques, focusing on computational linguistics, automated Sentiment Analysis, and conversational AI architecture for Chatbots.

Applied Computer Vision: Facial Recognition and Traffic Analytics

Deploy applied Computer Vision models for real-world scenarios. Evaluate industry case studies including biometric authentication via Face Recognition, automated Image Classification, and real-time Video Traffic Analytics.

Generative AI, Large Language Models (LLMs), and Foundation Models

New

Transition from predictive Machine Learning to Generative AI frameworks. Explore the mathematical underpinnings of generative models. Leverage Large Language Models (LLMs) and foundation models to solve complex real-world content generation challenges.

Get access to the complete curriculum once you enroll in the course

View Full Course

This course is ideal for

Absolute beginners wanting an AI overview.
Students exploring tech careers.
Business leaders seeking to understand AI capabilities.
Non-technical professionals looking to learn AI basics.

Introduction to Artificial Intelligence

4.47

3.0 Hours

Beginner

214.5K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Earn certificates from world-renowned universities

Learn from top faculty with live mentorship and hands-on learning.

UNIVERSITY

Highly Recommended

McCombs School of Business at The University of Texas at Austin

PG Program in Artificial Intelligence & Machine Learning

12 Months · Online

Career support

for your dream job

Industry-ready curriculum

Mentorship

from industry experts

Hands-on learning

with real-world scenarios

View Program

Level up with advanced skills & become job ready with Pro+

Subscribe to Pro+ today to build skills with 50+ Pro courses and prep for jobs with advanced AI tools.

PRO

Master Artificial Intelligence

3 projects 12.5 hrs video content

Practice exercises

Guided Projects

AI Resume Builder

AI mock interviews

Start 7-Day Free Trial

Get course + certificate with Pro+ subscription

Trusted by 1 Crore+ Learners globally

4.6

4.89

4.94

4.7

Learner reviews of the Free Courses

4.47

★★★★

★ ☆

★

70%

★

☆

20%

★

☆

★

☆

★

☆

Sadeepa Gajanayaka

5.0

★★★★ ★

“Comprehensive Introduction to AI”

The Introduction to Artificial Intelligence course provided a strong foundation in AI concepts. It covered the basics of AI, neural networks, natural language processing (NLP), and computer vision. The course offered clear explanations of how AI works, practical use cases for NLP and computer vision, and insights into neural network architectures and their applications.

NOEL K G

5.0

★★★★ ★

“Creating an Effective Learning Experience on AI”

By following this structured learning experience, you'll build a solid foundation in AI concepts, subfields, and practical applications. Start with understanding the basics of AI and machine learning, and progress towards working with neural networks and deep learning. Ethical concerns and hands-on projects will help you apply AI responsibly in real-world scenarios.

nithyalali2525@gmail.com

4.0

★★★ ★ ☆

India

“Understanding AI and Its Practical Applications”

I enjoyed the clear and concise explanation of AI concepts, which made complex topics easy to understand. The practical examples were particularly engaging, offering real-world applications that enhanced my learning experience. The content was well-structured, ensuring a smooth progression from theory to practice.

Tharukshi Diyununugala

5.0

★★★★ ★

“This Course is Easy to Follow and Understandable”

This course is well-structured and easy to follow, which made learning new concepts seamless. The content was engaging, and I appreciated how practical examples were used to explain complex topics like Natural Language Processing. The hands-on exercises allowed me to apply what I learned, reinforcing my understanding. Overall, it was a valuable experience that strengthened my skills in Artificial Intelligence.

Muhammad Hassan Nadeem

5.0

★★★★ ★

“Introduction to Artificial Intelligence”

In this course, we learned about 'What is AI?', branches of AI like machine learning, computer vision, neural networks, natural language processing, etc. We learned computer vision, neural networks, and natural language processing in detail, and I learned a lot from this course. Thanks to Great Learning for giving us this great opportunity to learn new tech skills for free.

Ionela Velicu

5.0

★★★★ ★

United Kingdom

“Great Introduction to AI, I Loved It”

Lovely course and easy to understand. The teacher was great at explaining.

Yukti Sabikhi

5.0

★★★★ ★

India

“Artificial Intelligence Very Nicely Explained”

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence. These tasks include learning, reasoning, problem-solving, understanding natural language, and perceiving the environment.

Tharusha 4575

5.0

★★★★ ★

Singapore

“The AI Course: A Valuable Learning Journey”

Course Content: The topics covered in the course, such as machine learning, deep learning, and neural networks, are highly relevant and well-organized. I appreciate the clear explanations of complex concepts. However, it would be helpful to include more real-world examples to bridge theory and practice.

Sainal Abidin drsmn

5.0

★★★★ ★

Indonesia

“Learn About AI, Neural Network, NLP, and Computer Vision”

AI (Artificial Intelligence) is a system capable of performing tasks that typically require human intelligence. Neural Network is a subset of machine learning and is at the heart of deep learning algorithms. Natural Language Processing is a subfield of AI that focuses on enabling computers to understand, interpret, and respond to human language in a way that is both meaningful and useful. Computer Vision is a field of AI that enables computers to interpret and understand visual information from the world.

Aadithya Anilkumar

5.0

★★★★ ★

United Arab Emirates

“Artificial Intelligence Importance”

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. AI can process large amounts of data and make decisions or predictions based on patterns, much faster and more accurately than humans. There are different types of AI, including narrow AI, which is designed to perform specific tasks, and general AI, which aims to perform any intellectual task that a human can do.

What our learners enjoyed the most

Skill & tools

60%

60% of learners found all the desired skills & tools

Our course instructor

Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning

Artificial Intelligence Expert

1M+ Learners

36 Courses

Dr. Abhinanda Sarkar has B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He was a lecturer at Massachusetts Institute of Technology (MIT) and a research staff member at IBM. Post this he spent a decade at General Electric (GE). He has provided committee service for the University Grants Commission (UGC) of the Government of India, for infoDev – a World Bank program, and for the National Association of Software and Services Companies (NASSCOM). He is a recipient of the ISI Alumni Association Medal, an IBM Invention Achievement Award, and the Radhakrishan Mentor Award from GE India. He is a seasoned academician and has taught at Stanford, ISI Delhi, the Indian Institute of Management (IIM-Bangalore), and the Indian Institute of Science. Currently, he is a Full-Time Faculty at Great Lakes. He is Associate Dean at the MYRA School of Business where he teaches courses such as business analytics, data mining, marketing research, and risk management. He is also co-founder of OmiX Labs – a startup company dedicated to low-cost medical diagnostics and nucleic acid testing.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

Is this free AI course a certification course?

This Introduction to freeArtificial Intelligence course offers a certificate of completion, not a professional certification.

What will I learn in this free AI course?

In this course, you’ll gain a solid foundation in artificial intelligence. You’ll learn about key AI concepts such as machine learning, neural networks, deep learning, and decision-making algorithms. Additionally, the course covers how AI is applied in real-world scenarios, such as healthcare, finance, and robotics, preparing you for further exploration in the field of AI.

Can I apply what I learn in this AI course to real-world situations?

Yes, the course provides practical examples of AI applications in industries such as healthcare, finance, and e-commerce. You’ll learn how AI is used to solve real-world problems, helping you understand how to implement AI in various fields.

What AI topics are covered in this free course?

The course covers key AI topics including:

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

Do I need any prerequisites for this free AI course?

Enrolling in this Introduction to Artificial Intelligence free course requires no prerequisites, and it is specifically designed for beginners to learn it from scratch.

Is this AI course suitable for beginners with no prior knowledge?

Yes, this course is designed specifically for beginners. You don't need any previous experience in AI or programming. The course starts with the basics and builds on those concepts step by step, making it easy to understand even if you are new to the field.

Will I have lifetime access to this free AI course?

Yes. You will have lifetime access to this free online Artificial Intelligence course.

How long does this free AI course take to complete?

This free course includes around 3.75 hours of learning content. It’s self-paced, so you can take as much time as you need to fully grasp the concepts.

Is this free AI course self-paced?

Yes, this course is entirely self-paced. You can start at any time, go through the lessons at your own speed, and revisit the material as needed. It’s designed to fit into your schedule, making it ideal for anyone looking to learn AI at their convenience.

How do I enroll in this free AI course?

Search for the "Introduction to Artificial Intelligence" free course in the search bar present at the top corner of Great Learning Academy.
Register for the course through the Enroll Now button and start learning.

What is artificial intelligence used for?

Artificial Intelligence (AI) is used for various tasks and applications. Typically, AI is used in tasks that are too complex or time-consuming for humans to complete, such as the identification of patterns in large sets of data, predictive analytics, and natural language processing. AI can also be utilized to automate mundane tasks, such as in customer service chatbots, to allow agents to focus on more complicated tasks. Further, AI is used in robotics, automation, and autonomous vehicles.

Why is artificial intelligence so popular?

Artificial Intelligence has become very popular in recent years due to its ability to automate processes, improve accuracy, increase efficiency, and reduce costs. AI has tremendous potential to revolutionize many industries with its ability to detect patterns and provide insights. AI can be used to identify new trends and opportunities, automate mundane tasks, and improve decision-making. AI can also provide a competitive edge for businesses, giving them the capability to respond faster and more effectively than their competitors. AI technology is becoming increasingly ubiquitous due to advancements in Machine Learning and Natural Language Processing, allowing organizations to take advantage of the immense potential of AI to transform their operations.

What will I be able to do after completing this AI course?

After completing this course, you'll understand the core concepts of AI and how they can be applied in various industries. You will be able to discuss AI techniques such as machine learning and deep learning and understand how they can be used to solve problems and create intelligent systems.

What should I learn after finishing this free AI course?

After completing this course, you can dive deeper into specialized areas like machine learning, deep learning, or natural language processing (NLP). The course serves as a foundation for exploring more advanced topics and hands-on projects, allowing you to build on your skills.

What jobs can I get if I learn AI?

There are many jobs that demand that you learn Artificial Intelligence, such as:

AI Research Scientist

AI Programmer
Machine Learning Engineer
AI/Robotics Engineer
AI Product Manager
Data Scientist
AI Solutions Architect
Natural Language Processing Engineer
AI/Robotics Researcher
AI Embedded Systems Engineer

Is learning artificial intelligence worth it?

Yes, learning Artificial Intelligence can be a rewarding and beneficial experience. It has become increasingly important in various fields, from medicine to engineering and the potential for AI is ever-expanding. With the advancements in the field, AI can help to solve problems faster, think more flexibly, automate processes, and create meaningful insights that can assist in decision-making.

Who should take this free AI course?

This course is perfect for students, professionals, and anyone interested in AI. Whether you're just starting out or looking to upskill, this course is a great introduction to AI, machine learning, and their real-world applications. It’s also ideal for professionals wanting to explore AI's role in business and technology.

Why choose Great Learning for this free AI course?

By the end of this online Artificial Intelligence free course, you will be familiar with the fundamentals of AI, understand neural networks and deep neural networks, and know the basics of NLP and computer vision in detail through various examples.

Is there a limit on how many times I can take this free AI course?

No, there are no limits on the number of times you can attain this free Artificial Intelligence course.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can sign up for more than one free course offered by Great Learning Academy that efficiently assists your career growth.

Subscribe to Academy Pro+ & get exclusive features

$29/month

No credit card required

Learn from 40+ Pro courses

Access 500+ certificates for free

700+ Practice exercises & guided projects

Prep with AI mock interviews & resume builder

Recommended Free AI courses

FREE

AI Product Manager: Roles, Skills and Responsibilities

4.67 2K+ learners

AI Product Manager: Roles, Skills and Responsibilities

1 hr

View Course

FREE

4.36 11.7K+ learners

AI Data Management

1 hr

View Course

FREE

4.51 20.4K+ learners

Robotics and AI

1 hr

View Course

Similar courses you might like

FREE

4.46 178.5K+ learners

Introduction to Artificial Intelligence

1.5 hrs

View Course

FREE

4.53 12.1K+ learners

AI Foundation

3.5 hrs

View Course

FREE

4.52 4.2K+ learners

NLP Customer Experience

1 hr

View Course

FREE

4.45 1.6K+ learners

Generative Adversarial Networks

1 hr

View Course

Related Artificial Intelligence Courses

50% Average salary hike

Explore degree and certificate programs from world-class universities that take your career forward.

Programs starting at ₹5,000 per month

Placement assistance

Personalized mentorship

Detailed curriculum

Learn from world-class faculties

Programs starting at ₹5,000 per month

Placement assistance

Personalized mentorship

Detailed curriculum

Learn from world-class faculties

50% Average salary hike
Scholarships upto ₹25K

McCombs School of Business at The University of Texas at Austin
PG Program in Artificial Intelligence & Machine Learning

12 Months · Online

#1 Ranked AI Program

Know More
Scholarships upto ₹25K

McCombs School of Business at The University of Texas at Austin
Artificial Intelligence PG Program for Leaders

5 Months · Online · weekend

No Programming Exp Required

Know More
IIT Bombay
Certificate in Supply Chain Analytics with AI and ML Applications

6 Months · Online

Know More

Artificial Intelligence Free Course

Introduction to Artificial Intelligence

Stand out with an industry-recognized certificate

What you’ll learn

Key Highlights

About this course

Stand out with an industry-recognized certificate

Course outline

Fundamentals of Artificial Intelligence (AI) and Industry Domains

Computer Vision (CV) Fundamentals: Classification and Segmentation

Artificial Neural Networks (ANN) and Deep Learning Architecture

Natural Language Processing (NLP): Sentiment Analysis and Chatbots

Applied Computer Vision: Facial Recognition and Traffic Analytics

Generative AI, Large Language Models (LLMs), and Foundation Models

This course is ideal for

Earn certificates from world-renowned universities

Level up with advanced skills & become job ready with Pro+

Trusted by 1 Crore+ Learners globally

Learner reviews of the Free Courses

What our learners enjoyed the most

Our course instructor

Frequently Asked Questions

Subscribe to Academy Pro+ & get exclusive features

Recommended Free AI courses

Similar courses you might like

Related Artificial Intelligence Courses

Popular Topics to Explore

Relevant Career Paths >

Other Artificial Intelligence tutorials for you