Develop self-learning algorithms and agents using TensorFlow and other Python tools, frameworks, and libraries

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

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

Learn the basic concepts of C# and crack the 70-483 certification

Perform advanced data manipulation tasks using pandas and become an expert data analyst.

Build automated and highly-scalable end-to-end Machine Learning models and pipelines in Azure using Tensorflow, Spark, and Kubernetes.

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.

Use Java and Deeplearning4j to build robust, enterprise-grade deep learning models from scratch

Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python

Take your enterprise application development skills to the next level by mastering parallel programming techniques in .NET and C#.

Build powerful deep learning models using fewer learning samples with the power of scikit-learn and Keras

Learn the essential background and model functioning of various neural network architectures such as CNN. RNN. LSTM, GANs, Autoencoders and more using best practices from an industry expert

Your one-stop guide to working with the browser-based JavaScript library for training and deploying machine learning models effectively.

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