In this post, we will be discussing the teachings of the DeepLerning.AI TensorFlow Developer Certification available on Coursera and how what is said here can help you before, during, and/or even after starting your professional career development. To oversimplify this broad and dense field, one could temptingly state that Deep Learning is a method in Machine Learning and Artificial Intelligence that extrapolates data using one to many neural networks, nodes, and/or stages to pinpoint a final result. Similar to like when trying to spread out a deck of cards and then slowly picking out all the correct cards to get a royal flush, Deep Learning algorithms are fed vast amounts of data to store in memory and then are used to scan through and find similarities in new unseen data. Like a well-oiled cybernetic machine, deep learning algorithms use reduction and deduction to solve complex classification and regression problems. Being that said, do keep in mind that the comprehensive reviews seen here do not come from an expert in this field and thus are heavily subjected to a bias of interpretation of just another person that completed this course.