Information Technology Basics
Fundamental principles and concepts
Neural Networks Demystified for Data Professionals
Neural networks are the foundation for so many applications in the field of machine learning and artificial intelligence. This course will demystify what they are, how they work, and how they can be used in a variety of real-world applications.
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Course Insight
Suitable for beginner learners. This course serves as an entry point into Information Technology, building foundational knowledge before moving on to advanced frameworks or specialized paths.
Beginner FriendlySelf-Paced LearningHands-On Learning
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Real-world project implementationBest Practices
Industry standard workflows and guidelinesCareers:Backend Developer, Software Engineer, API Developer.
Quick Facts
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What You’ll Learn
In the current era of artificial intelligence, a solid understanding of neural networks is essential for anyone looking to keep their skills fresh.
In this course, Neural Networks Demystified for Data Professionals, you'll gain an understanding of neural networks and how they're used in real-world applications.
First, you'll explore the fundamental concepts and terminology behind neural networks and how they came to be.
Next, you'll discover the basic building blocks and architectures of a neural network and how they learn—such as nodes, layers, input, weights, and activation functions.
Finally, you'll learn about the applications and impact of deep learning in various industries.
When you're finished with this course, you'll have the foundational knowledge of neural networks needed to pursue other studies in artificial intelligence.
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Outcomes
- Course Overview : 1min.
- So, What Is a Neural Network and How Did We Get Here? : 12mins.
- The Building Blocks of a Neural Network : 10mins.
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