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AI for Beginners Free Course

Introduction to Artificial Intelligence

Updated with GenAI for 2026
star 4.48  Beginner level 3.0 learning hrs 220.9K+ Learners

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

Instructor:

Dr. Abhinanda Sarkar

Introduction to Artificial Intelligence

star 4.48  Beginner level 3.0 learning hrs 220.9K+ Learners
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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

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    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

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    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

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    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

    rating icon 4.48

    3.0 Hours

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    Reviewer Profile
    Akash Shinde

    5.0

    ★★★★ ★
    India
    “I gained a strong understanding of the fundamentals of Artificial Intelligence, including machine learning, natural language processing, and computer vision.”
    I gained a strong understanding of the fundamentals of Artificial Intelligence, including machine learning, natural language processing, and computer vision. I learned how AI systems perform tasks intelligently, analyze data, and make decisions, while also exploring key techniques like supervised and semi-supervised learning.
    Read More
    Reviewer Profile
    Patlola soumya

    5.0

    ★★★★ ★
    India
    “I Enjoyed the Well-Structured Introduction and Detailed Explanations from the Professors”
    This website offers a top-notch learning experience with clear, comprehensive lessons, making it the best place to learn new courses without any doubt. The variety of courses and quality of instruction are exceptional.
    Read More
    Reviewer Profile
    __Reej__

    5.0

    ★★★★ ★
    India
    “Learned About Introduction to Artificial Intelligence”
    I've learned the basics of AI and the tools used in it. It was very easy to follow and complete the quiz. Thank you, Great Learning.
    Read More
    Reviewer Profile
    prabin prakash

    5.0

    ★★★★ ★
    India
    “It Really Boosted Up My Skills in the Field of AI”
    This course really helped me to understand the current career opportunities, the importance of artificial intelligence, and how it helps a professional to work effectively with additional knowledge on AI.
    Read More
    Reviewer Profile
    Daniel Aswani

    5.0

    ★★★★ ★
    “Reflecting on the Learning Experience Including the Ideas I Learned”
    I liked everything about the curriculum, including the instructor's way of delivering the content. I also liked the quizzes in the sense that they reflect the things covered as part of the teaching process.
    Read More
    Reviewer Profile
    Bahar balvaye

    5.0

    ★★★★ ★
    “Artificial Intelligence Free Course”
    It was great. It was short with lots of information. English is my second language, and the pronunciation was great.
    Read More
    Reviewer Profile
    Sarvesh Shrivastav

    5.0

    ★★★★ ★
    India
    “Great Experience, the Way of Teaching and Explaining Every Concept is Outstanding”
    It is an introductory course, but the way sir explained it increased my interest in Artificial Intelligence.
    Read More
    Reviewer Profile
    Abhijit Choudhari

    5.0

    ★★★★ ★
    India
    “Overall Good Course, I Gained a Lot of Knowledge from This”
    It is easy to understand. The curriculum is superb, and the instructor is best for teaching.
    Read More
    Reviewer Profile
    Mahad Khalid Ghafoor

    5.0

    ★★★★ ★
    “Learning Outcomes by the Artificial Intelligence Course Were Very Helpful”
    I enjoyed the course. It covered the most important aspects of AI and helped me gain more interest in the field of AI.
    Read More
    Reviewer Profile
    Nithin R

    5.0

    ★★★★ ★
    India
    “Got to Know More About Artificial Intelligence”
    Studied in detail about artificial intelligence and computer vision, NLP, and understood the topics.
    Read More

    What our learners enjoyed the most

    Our course instructor

    instructor img

    Dr. Abhinanda Sarkar

    Senior Faculty & Director Academics, Great Learning

    Artificial Intelligence Expert

    learner icon
    1.1M+ Learners
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    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

    Is this Introduction to 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 for Beginners?

    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 Introductory 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 Beginner's AI Training ?

    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

    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 AI Course for Beginners?

    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 will I be able to do after completing this AI Basics 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

    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 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.

    What are the next steps after completing this free Artificial Intelligence course?

    This course introduces learners to the fundamentals of Artificial Intelligence and its real-world applications. Those who want to continue their learning journey can explore advanced programs covering machine learning, deep learning, AI tools, and practical projects. Learners looking for an industry-focused pathway may explore the PG Program in Artificial Intelligence, while those seeking a university-backed learning experience in AI and data science may explore the IIT Bombay PG Diploma in Artificial Intelligence and Data Science.

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