📚 Syllabus & Course Curriculum
AI & Machine Learning in Healthcare
Module-by-module breakdown of Introduction to Neural Networks, from foundations to a certified capstone project.
Outline
What are Neural Networks? • History and Evolution of Neural Networks • Neural Networks vs Machine Learning vs AI • Applications of Neural Networks
Outline
Understanding Neurons and Connections • Input Layer, Hidden Layers, and Output Layer • Weights, Bias, and Activation Concepts • How Data Flows Through a Network
Outline
Training a Neural Network • Introduction to Forward Pass and Learning Process • Error, Loss, and Basic Optimization Idea • Simple Understanding of Model Improvement
Outline
Introduction to Different Neural Network Types • Feedforward Neural Networks • Basic Idea of Deep Learning • Overview of Real-World Neural Network Models
Outline
Neural Networks in Image, Text, and Speech Processing • AI Applications in Healthcare, Finance, and Technology • Introduction to Deep Learning Pathways • Mini Learning Activity / Concept-Based Practice
Earn government-registered certification in Introduction to Neural Networks
e-Certificate and e-Marksheet issued on successful completion.
