Coursera
In this comprehensive course, you'll delve into the critical steps required to deploy machine learning models successfully. From setting up scalable hardware infrastructure to automating workflows and employing progressive delivery methods, this program equips you with the skills needed to make your ML models available to end-users efficiently and reliably.
Coursera
Explore the next level of cloud computing with our 'Cloud Computing Applications Part 2' course. This course delves into big data analytics and applications in the cloud, providing you with the skills needed to manage and analyze large volumes of complex data effectively.
Coursera
Dive into a comprehensive review of machine learning concepts and apply them through an immersive workshop. Learn how to implement end-to-end ML projects with TensorFlow on Google Cloud Platform (GCP). From data prep to model deployment, this course equips you with the skills needed to tackle real-world challenges in machine learning.
EdX
Dive into the world of artificial intelligence with our 'Introduction to Deep Learning' course on edX. This 3-credit-hour program is designed for those new to machine learning and eager to explore how deep learning can be used to tackle significant engineering challenges. Over a span of 16 weeks, you'll build a strong foundation in deep neural networks, engage in practical projects, and master the use of TensorFlow and Keras tools.
EdX
Dive into the world of Deep Learning with Tensorflow and learn how to harness the potential of deep neural networks for solving complex, real-world problems involving unstructured data like images, sound, and text. This course will guide you through the fundamentals and applications of deep learning, enabling you to unlock new insights from vast datasets.
EdX
Master the art of using powerful GPUs to accelerate and scale your deep learning projects. This course will teach you how to leverage accelerated hardware to significantly reduce training times, enabling faster development and deployment of complex deep learning models.
Udacity
Discover how to efficiently deploy your deep learning models on mobile and embedded devices with our Introduction to TensorFlow Lite course. Created by the experts at TensorFlow and Udacity, this course provides a practical guide for developers looking to apply their deep learning expertise in mobile environments. Learn from industry leaders and gain the skills needed to optimize and run machine learning models on resource-constrained devices.
Manning Publications
Dive into 'Getting Started with Google Colab Using TensorFlow' and gain practical experience with Google’s cloud-based tool for machine learning. This course is designed for beginners and intermediate learners who want to harness the full potential of Google Colab for data science projects. Learn how to preprocess data, utilize free GPU/TPU acceleration, and apply scikit-learn and TensorFlow for effective classifier training.
Udacity
Dive into the world of deep learning with Udacity's Intro to TensorFlow for Deep Learning course, designed specifically for software developers eager to leverage artificial intelligence. Learn from the TensorFlow team as you build practical applications and gain a solid understanding of this transformative technology.