ASP.NET Identity Development -

Learn to be productive in ASP.NET Identity development in order to reduce ramp-up time, and best practices so that ASP.NET Identity work is more effective and better architected.

Advanced Core Java -

Learn how to write complex stand-alone applications using advanced Java language features.

Machine Learning and Natural Language Processing -

Learn to implement ML techniques for Natural Language comprehension, sentiment analysis, topic discovery, etc.

Advanced AJAX -

Learn how to build web pages that use AJAX to create interactivity with data on a server.

NgRx for Angular Developers -

Learn the knowledge and tools to integrate NgRx into practice.

Advanced Maven -

Learn about advanced Apache Maven concepts.

Advanced Spark -

Learn how to use Spark internals for working with NoSQL databases as well debugging and troubleshooting.

AWS for Developers Fast Track -

Learn AWS and prepare for the AWS Certified Developer Exam

Advanced Python -

Learn how to become an expert at creating high-throughput, multithreaded, network oriented programs written in Python.

Advanced TSQL -

Learn about advanced topics regarding TSQL.

ASP.NET Identity Development -

Learn to be productive in ASP.NET Identity development in order to reduce ramp-up time, and best practices so that ASP.NET Identity work is more effective and better architected.

Intermediate Kotlin -

Learn how to increase knowledge and effectiveness in the Kotlin programming language.

Intermediate Python -

Learn how to mature programming knowledge.

Introduction to Kotlin -

Learn the Kotlin programming language and begin programming in it.

Modern Javascript (ES6+) -

Learn about the latest features of the JavaScript language.

Ruby on Rails Intensive -

Learn how to leverage Ruby for web development on the Rails framework.

Spring Fast Track -

Learn the overall Spring platform including Spring Boot, Spring MVC, Restful Spring, testing with Spring and managing data with Spring.

Advanced Python -

Learn how to become an expert at creating high-throughput, multithreaded, network oriented programs written in Python.

Advanced Solr -

Learn how to use modern Solr and SolrCloud.

Advanced Tableau -

Learn how to improve analytical ability and the ability to provide data insights.

Google Cloud for Data Engineers -

Learn to build systems on Google Cloud to store and process batch or streaming data.

Intermediate Tableau -

Learn advanced Tableau knowledge and skills.

Advanced Maven -

Learn about advanced Apache Maven concepts.

Intermediate Chef -

Learn how to use Chef-specific tools and tactics such as Ohai plugins, Chef handlers, ChefSpec, and Custom Light-Weight Resource Providers (LWRP's).

AWS for Developers Fast Track -

Learn AWS and prepare for the AWS Certified Developer Exam

Google Cloud for Data Analysts -

Learn how to perform insightful and responsive data analysis at scale and delight the consumers of the analysis with effective data visualizations.

Google Cloud for Data Engineers -

Learn to build systems on Google Cloud to store and process batch or streaming data.

Google Cloud for Data Scientists -

Learn how to create and deploy high-performance data science and machine learning systems on Google Cloud for regression and classification use cases leveraging both structured and unstructured datasets.

Google Cloud for Developers -

Learn to create and deploy software on Google Cloud to have secure and stable applications.

Intermediate Google Cloud For Data Analysts -

Learn how to analyze large scale, distributed, and real-time datasets with MapReduce and Apache Beam based capabilities of Google Cloud and practice identification and analysis of effective data features for predictive analytics with BigQuery ML and TensorFlow.

Intermediate Google Cloud for Data Engineers -

Learn how to use data engineering on Google Cloud to build specialized data pipelines for large scale streaming data analytics, machine learning, and recommendation systems.

Intermediate Google Cloud For Data Scientists -

Learn how to implement statistical and machine learning models using TensorFlow, for example for recommendation engines, and how to improve their performance based on the students’ understanding of underlying mathematical principles.

Intermediate Google Cloud for Developers -

Learn how to utilize advanced processes and practices for the platform to improve function and security.

Advanced CSS -

Learn about CSS’ advanced syntax and features to create scalable and maintainable stylesheets.

Deep Learning with TensorFlow and Keras -

Learn Deep Learning concepts and popular tools.

Working with Deep Reinforcement Learning -

Learn about deep reinforcement learning, what it is, how it works and how you can apply it to real-world problems.

Advanced Python -

Learn how to become an expert at creating high-throughput, multithreaded, network oriented programs written in Python.

Containerization Fast Track -

Learn the skills required to build, store, and deploy containers using Docker and Kubernetes.

Google Cloud for Developers -

Learn to create and deploy software on Google Cloud to have secure and stable applications.

Intermediate Google Cloud for Developers -

Learn how to utilize advanced processes and practices for the platform to improve function and security.

Intermediate Python -

Learn how to mature programming knowledge.

Intermediate Apollo for React & GraphQL Developers -

Learn how to leverage GraphQL and Apollo.

Intermediate Redux for React Developers -

Teach React developers how to use more of the Redux API in their applications.

Modern Javascript (ES6+) -

Learn about the latest features of the JavaScript language.

NgRx for Angular Developers -

Learn the knowledge and tools to integrate NgRx into practice.

Ruby on Rails Intensive -

Learn how to leverage Ruby for web development on the Rails framework.

Google Cloud for Data Analysts -

Learn how to perform insightful and responsive data analysis at scale and delight the consumers of the analysis with effective data visualizations.

Google Cloud for Data Engineers -

Learn to build systems on Google Cloud to store and process batch or streaming data.

Google Cloud for Data Scientists -

Learn how to create and deploy high-performance data science and machine learning systems on Google Cloud for regression and classification use cases leveraging both structured and unstructured datasets.

Google Cloud for Developers -

Learn to create and deploy software on Google Cloud to have secure and stable applications.

Intermediate Google Cloud For Data Analysts -

Learn how to analyze large scale, distributed, and real-time datasets with MapReduce and Apache Beam based capabilities of Google Cloud and practice identification and analysis of effective data features for predictive analytics with BigQuery ML and TensorFlow.

Intermediate Google Cloud for Data Engineers -

Learn how to use data engineering on Google Cloud to build specialized data pipelines for large scale streaming data analytics, machine learning, and recommendation systems.

Intermediate Google Cloud For Data Scientists -

Learn how to implement statistical and machine learning models using TensorFlow, for example for recommendation engines, and how to improve their performance based on the students’ understanding of underlying mathematical principles.

Intermediate Google Cloud for Developers -

Learn how to utilize advanced processes and practices for the platform to improve function and security.

Advanced Groovy -

Learn how to use the advanced features of Groovy in a Java environment.

Advanced Groovy -

Learn how to use the advanced features of Groovy in a Java environment.

Advanced GWT -

Learn how to enhance security and performance of GWT web applications by using in-depth GWT tools and concepts via lectures and extensive labs.

Advanced Hibernate -

Learn how to effectively use and optimize Hibernate.

Advanced Java Swing Programming -

Learn how to create custom, reusable, Graphical User Interface (GUI) Swing components.

Advanced AJAX -

Learn how to build web pages that use AJAX to create interactivity with data on a server.

Advanced JavaScript -

Learn how to build advanced web applications using JavaScript.

Intermediate JavaScript -

Learn how to use effective JavaScript concepts like design patterns, packaging, compression, debugging and testing to write increasingly complex scripts and web applications.

Modern Javascript (ES6+) -

Learn about the latest features of the JavaScript language.

Advanced JPA Programming -

Learn the knowledge and skills required for developers to utilize Java Persistence Architecture (JPA) to its fullest.

Advanced jQuery Development -

Learn how to utilize the advanced jQuery features and syntax.

Advanced JSF -

Learn how to build reusable custom JavaServer Faces (JSF) components.

Intermediate Kotlin -

Learn how to increase knowledge and effectiveness in the Kotlin programming language.

Introduction to Kotlin -

Learn the Kotlin programming language and begin programming in it.

Containerization Fast Track -

Learn the skills required to build, store, and deploy containers using Docker and Kubernetes.

Advanced Machine Learning -

Learn advanced techniques for managing data and tuning models.

Advanced Python -

Learn how to become an expert at creating high-throughput, multithreaded, network oriented programs written in Python.

Advanced Tableau -

Learn how to improve analytical ability and the ability to provide data insights.

Applied Data Science & Machine Learning -

Learn intermediate data analysis techniques and how programming languages can be used to further analyze data.

Deep Learning with TensorFlow and Keras -

Learn Deep Learning concepts and popular tools.

Google Cloud for Data Engineers -

Learn to build systems on Google Cloud to store and process batch or streaming data.

Google Cloud for Data Scientists -

Learn how to create and deploy high-performance data science and machine learning systems on Google Cloud for regression and classification use cases leveraging both structured and unstructured datasets.

Intermediate Google Cloud For Data Analysts -

Learn how to analyze large scale, distributed, and real-time datasets with MapReduce and Apache Beam based capabilities of Google Cloud and practice identification and analysis of effective data features for predictive analytics with BigQuery ML and TensorFlow.

Intermediate Google Cloud for Data Engineers -

Learn how to use data engineering on Google Cloud to build specialized data pipelines for large scale streaming data analytics, machine learning, and recommendation systems.

Intermediate Google Cloud For Data Scientists -

Learn how to implement statistical and machine learning models using TensorFlow, for example for recommendation engines, and how to improve their performance based on the students’ understanding of underlying mathematical principles.

Intermediate Tableau -

Learn advanced Tableau knowledge and skills.

Introduction to Data Science & Machine Learning -

Learn how data can be gathered to improve the overall needs of the business.

Introduction to Machine Learning -

Learn various Machine Learning algorithms to evaluate and productize models.

Machine Learning and Natural Language Processing -

Learn to implement ML techniques for Natural Language comprehension, sentiment analysis, topic discovery, etc.

Python for Data Scientists -

Learn how to use Python to explore and analyze data, run basic regression models, visualize data, and apply some basic machine learning models to data.

Working with Deep Reinforcement Learning -

Learn about deep reinforcement learning, what it is, how it works and how you can apply it to real-world problems.

Intermediate Kotlin -

Learn how to increase knowledge and effectiveness in the Kotlin programming language.

Intermediate Xamarin -

Learn to use Xamarin to create multi-platform apps.

Introduction to Kotlin -

Learn the Kotlin programming language and begin programming in it.

Advanced Node.js -

Learn how to utilize the advanced features, syntax, and related tooling to create more advanced Node.js applications.

Advanced Spark -

Learn how to use Spark internals for working with NoSQL databases as well debugging and troubleshooting.

Advanced Perl Programming -

Learn about the best practices when using Perl to write large scale programs.

Advanced PHP -

Learn how to use advanced web development concepts like OO and MVC in PHP.

Advanced Machine Learning -

Learn advanced techniques for managing data and tuning models.

Advanced Python -

Learn how to become an expert at creating high-throughput, multithreaded, network oriented programs written in Python.

Applied Data Science & Machine Learning -

Learn intermediate data analysis techniques and how programming languages can be used to further analyze data.

Intermediate Python -

Learn how to mature programming knowledge.

Introduction to Data Science & Machine Learning -

Learn how data can be gathered to improve the overall needs of the business.

Introduction to Machine Learning -

Learn various Machine Learning algorithms to evaluate and productize models.

Python for Data Scientists -

Learn how to use Python to explore and analyze data, run basic regression models, visualize data, and apply some basic machine learning models to data.

Advanced Machine Learning -

Learn advanced techniques for managing data and tuning models.

Advanced Python -

Learn how to become an expert at creating high-throughput, multithreaded, network oriented programs written in Python.

Applied Data Science & Machine Learning -

Learn intermediate data analysis techniques and how programming languages can be used to further analyze data.

Intermediate Python -

Learn how to mature programming knowledge.

Introduction to Data Science & Machine Learning -

Learn how data can be gathered to improve the overall needs of the business.

Introduction to Machine Learning -

Learn various Machine Learning algorithms to evaluate and productize models.

Python for Data Scientists -

Learn how to use Python to explore and analyze data, run basic regression models, visualize data, and apply some basic machine learning models to data.

Intermediate Apollo for React & GraphQL Developers -

Learn how to leverage GraphQL and Apollo.

Intermediate React & Flux -

Learn how to build Increasingly complex applications using React.js and Flux.

Intermediate Redux for React Developers -

Teach React developers how to use more of the Redux API in their applications.

Advanced Ruby on Rails -

Learn how to use advanced Ruby features and syntax to write advanced scripts and web applications.

Ruby on Rails Intensive -

Learn how to leverage Ruby for web development on the Rails framework.

Advanced Solr -

Learn how to use modern Solr and SolrCloud.

Spring Fast Track -

Learn the overall Spring platform including Spring Boot, Spring MVC, Restful Spring, testing with Spring and managing data with Spring.

Advanced TSQL -

Learn about advanced topics regarding TSQL.

Advanced Tableau -

Learn how to improve analytical ability and the ability to provide data insights.

Intermediate Tableau -

Learn advanced Tableau knowledge and skills.

Deep Learning with TensorFlow and Keras -

Learn Deep Learning concepts and popular tools.

Advanced UML -

Learn about all of the UML diagrams in the UML 2.5 specification via our Advanced UML course.

Advanced Routing in Vue.js with Vue-Router -

Learn how to setup Vue routing in web applications using the Vue-Router.

Ruby on Rails Intensive -

Learn how to leverage Ruby for web development on the Rails framework.

Intermediate Xamarin -

Learn to use Xamarin to create multi-platform apps.