The global deep learning market is set to grow 23% annually to 2030 (Grand View Research). This IBM Deep Learning with PyTorch, Keras and TensorFlow Professional Certificate builds the job-ready skills and practical experience AI techies need to catch the eye of employers.

Deep learning is a branch of machine learning powering the generative AI revolution. It uses multilayered neural networks, called deep neural networks, to simulate the complex decision-making power of the human brain.

During the program, you’ll learn to build, train, and deploy deep learning models. You’ll master fundamental concepts of machine learning and deep learning, including supervisedlearning, using Python. You’ll learn to develop transformer models for sequential data and time series predictions and apply unsupervised learning and reinforcement learning. Plus, you’ll apply popular libraries such as Keras, PyTorch, and TensorFlow to industry problems using object recognition,image and natural language processing. You’ll also gain valuable hands-on experience in labs and projects using PyTorch with deep learning models, creating custom layers and models using Keras, integrating Keras with TensorFlow 2, and developing advanced convolutional neural networks (CNNs). If you’re looking to take the next step in your AI or data science career, this IBM Professional Certificate will give you job-ready skills and practical experience employers are looking for, so ENROLL TODAY!

Übungsprojekt

Throughout this program, you’ll build a portfolio of projects that demonstrate your mastery of deep learning. During the hands-on projects, you’ll gain practical working skills using machine learning libraries and deep learning frameworks, including Keras, PyTorch, and TensorFlow.

You’ll also complete an in-depth capstone project, where you’ll apply your AI and neural network skills to build image classifiers, analyze their performance and present your findings.