Top Trends for 2020

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning.

A step-by-step guide to building microservices using Python and Docker, along with managing and orchestrating them with Kubernetes

Develop state-of-the-art machine learning models with just a few lines of code!

Understand the concepts and methodologies to manage and deliver top-notch Data Science solutions for your organization.

Build, deploy and improve highly profitable real-world automated end to end algorithmic trading systems and trading strategies using Python programming and advanced data analysis.

Implement reinforcement learning techniques and algorithms with the help of real-world examples and recipes

Simplify your DevOps roles with DevOps tools and techniques

Unlock Spring 5 features to create reactive programs

Perform cloud-based machine learning and deep learning using Amazon Web Services such as SageMaker, Lex, Comprehend, Translate, and Polly

A collection of in-depth conversations with leading developer advocates that reveal the world of developer relations today

Become an AWS SysOps administrator and explore best practices to maintain a well-architected, resilient, and secure AWS environment

A definitive guide to PyCharm to help you build business-oriented Python applications ranging from modern web development to data science

Create end-to-end cloud-native apps with Kubernetes and DevOps

Explore the blockchain-based decentralized platform and understand how Ethereum works with Dapps examples

A comprehensive guide to developing neural network-based solutions using TensorFlow 2.0