Image Recognition Skills you will learn

  • Neural networking basics
  • Image Recognition using AI
  • Creating AI tools

Who should learn this free Image Recognition course?

  • Software Developers
  • AI Tool Developers
  • Software enthusiasts

What you will learn in this free Image Recognition course?

  • Neural Network 101 : Image Recognition using Machine Learning

    • Introduction

      00:46
      • 0.0 Introduction
        00:46
    • Lesson 1 - Introduction to Neural Network

      19:58
      • 1.01 Introduction to Neural Network
        19:58
    • Lesson 2 - Use Case - Problem Statement

      07:22
      • 2.01 Use Case Problem Statement
        07:22
    • Lesson 3 - Use Case - Implementation

      26:27
      • 3.01 Use Case Implementation
        26:27

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

About the Course

In this free image recognition course, you will explore the fundamentals of deep learning, providing you with a solid foundation in neural networks. Additionally, you will be guided through building an AI tool capable of recognizing images of cats and dogs and applying the concepts learned to real-world scenarios. 

Throughout the image recognition course, you will reinforce your learning through hands-on exercises and practical examples. By the end, you will have the knowledge and skills to confidently a

Read More

Get your team a digital skilling library

with unlimited access to live classes
Know More
digital skilling library

FAQs

  • What is image recognition, and why should I learn it?

    Image recognition is a technology used in AI that allows computers to interpret and categorize what they see in images. Learning it can help you understand and develop applications that automate tasks that normally require human visual comprehension, such as identifying objects in photos or videos.

  • Who should enroll in this image recognition course?

    This image recognition course is ideal for students, IT professionals, and anyone interested in AI who wants to expand their deep learning skills, particularly in applying neural networks to visual data.

  • Is prior experience in programming needed for this course?

    Yes, to get the most out of this free image recognition course, you need to have a basic understanding of deep learning and AI principles.

  • Can I apply image recognition skills in everyday life after this course?

    Image recognition can be used in various everyday applications, from organizing photos on your smartphone to enhancing security systems with facial recognition technology.

  • Is this course updated with the latest trends in image recognition?

    Yes, the image recognition course content is regularly updated to reflect the latest developments and trends in image recognition.

  • How can image recognition skills benefit my current career?

    Learning image recognition can open up new opportunities in AI development, data analysis, and software engineering. It's particularly valuable in technology innovation, security, and digital media industries.

  • Can I get a job in AI after completing this course?

    Completing this image recognition course will provide valuable skills that can help you land a job in AI, especially in roles focused on developing or improving image recognition systems.

  • Are there any prerequisites for enrolling in the image recognition course?

    While a basic understanding of deep learning and AI is recommended, enthusiasm for learning about neural networks and how they apply to image recognition is also important.

  • How will this course help me understand AI better?

    This image recognition course will deepen your understanding of how AI can be trained to interpret visual data. It showcases one of the most dynamic and practical uses of AI technology.

  • Can I pause my course participation and resume later?

    Yes, you have 90 days of access to the free image recognition course materials, allowing you to pause and resume the course as needed within that time frame.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.