As you enrol in the *Deep Learning Fundamentals* course, you’ll gradually elevate your expertise from grasping the foundational concepts to becoming a proficient neural network architect. Gain hands-on experience by coding perceptrons and multi-layer perceptrons using Python, Numpy, and Tensorflow. Understand the nuances of activation functions, unravel the training processes, and master backpropagation mechanisms. By the course’s culmination, you’ll confidently tackle real-world challenges through immersive capstone projects, showcasing your skills in regression and image classification using Tensorflow. Acquire a robust understanding of optimizers, from traditional Gradient Descent to advanced techniques like Adam, setting the stage for your ascent in the realm of deep learning.