Technical Fast Tracks
Fast Tracks are a rapid training delivery format coupling a hands-on approach with multidisciplinary skills transfer. Fast Tracks are similar to bootcamps, with a condensed schedule.
Usual Delivery Time Frame: 5 days
Learn to be productive in ASP.NET Identity development to reduce ramp-up time, and best practices so that ASP.NET Identity work is more effective and better architected.
Learn how to effectively integrate today’s best software development practices.
Learn how to build web pages that use AJAX to create interactivity with data on a server.
Introduction to NgRx for Angular Developers
Learn the knowledge and tools to integrate NgRx into practice.
Learn about advanced Apache Maven concepts.
Learn how to use Spark internals for working with NoSQL databases as well debugging and troubleshooting.
Intermediate Apollo for React & GraphQL Developers
Learn how to leverage GraphQL and Apollo.
Machine Learning and Natural Language Processing
Learn to implement ML techniques for Natural Language comprehension, sentiment analysis, topic discovery, etc.
Learn to be productive in ASP.NET Identity development to reduce ramp-up time, and best practices so that ASP.NET Identity work is more effective and better architected.
Learn how to write complex stand-alone applications using advanced Java language features.
Learn how to use the advanced features of Groovy in a Java environment.
Learn how to effectively use and optimize Hibernate.
Advanced Java Swing Programming
Learn how to create custom, reusable, Graphical User Interface (GUI) Swing components.
Learn how to build advanced web applications using JavaScript.
Learn the knowledge and skills required for developers to utilize Java Persistence Architecture (JPA) to its fullest.
Learn how to build reusable custom JavaServer Faces (JSF) components.
Learn about advanced Kotlin concepts and the Kotlin ecosystem.
Learn about advanced Apache Maven concepts.
Learn about the best practices when using Perl to write large scale programs.
Learn how to use advanced Ruby features and syntax to write advanced scripts and web applications.
Learn about advanced topics regarding TSQL.
Learn to be productive in ASP.NET Identity development to reduce ramp-up time, and best practices so that ASP.NET Identity work is more effective and better architected.
Learn how to effectively to transition to C++ from another programming language.
Learn how to use effective JavaScript concepts like design patterns, packaging, compression, debugging and testing to write increasingly complex scripts and web applications.
Learn how to increase knowledge and effectiveness in the Kotlin programming language.
Promote an intermediate understanding of Python and increase developer skills and techniques.
Learn the Kotlin programming language and begin programming in it.
Learn about the latest features of the JavaScript language.
Learn how to leverage Ruby for web development on the Rails framework.
Learn the overall Spring platform including Spring Boot, Spring MVC, Restful Spring, testing with Spring and managing data with Spring.
Learn how to use Spark internals for working with NoSQL databases as well debugging and troubleshooting.
Learn how to use modern Solr and SolrCloud.
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.
Learn advanced Tableau knowledge and skills.
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.
Learn how to effectively to transition to C++ from another programming language.
Learn how to use Chef-specific tools and tactics such as Ohai plugins, Chef handlers, ChefSpec, and Custom Light-Weight Resource Providers (LWRPs).
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.
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.
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.
Learn how to become an expert at creating high-throughput, multithreaded, network oriented programs written in Python.
Learn the skills required to build, store, and deploy containers using Docker and Kubernetes.
Learn to create and deploy software on Google Cloud to have secure and stable applications.
Learn how to use Chef-specific tools and tactics such as Ohai plugins, Chef handlers, ChefSpec, and Custom Light-Weight Resource Providers (LWRPs).
Intermediate Google Cloud for Developers
Learn how to utilize advanced processes and practices for the platform to improve function and security.
Promote an intermediate understanding of Python and increase developer skills and techniques.
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.
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.
Learn how to build web pages that use AJAX to create interactivity with data on a server.
Learn about CSS’ advanced syntax and features to create scalable and maintainable stylesheets.
Learn how to enhance security and performance of GWT web applications by using in-depth GWT tools and concepts via lectures and extensive labs.
Learn how to utilize the advanced features, syntax, and related tooling to create more advanced Node.js applications.
Intermediate Apollo for React & GraphQL Developers
Learn how to leverage GraphQL and Apollo.
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.
Introduction to NgRx for Angular Developers
Learn the knowledge and tools to integrate NgRx into practice.
Learn about the latest features of the JavaScript language.
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.
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.
Learn how to use the advanced features of Groovy in a Java environment.
Learn how to use the advanced features of Groovy in a Java environment.
Learn how to enhance security and performance of GWT web applications by using in-depth GWT tools and concepts via lectures and extensive labs.
Learn how to effectively use and optimize Hibernate.
Learn how to write complex stand-alone applications using advanced Java language features.
Learn how to effectively use and optimize Hibernate.
Advanced Java Swing Programming
Learn how to create custom, reusable, Graphical User Interface (GUI) Swing components.
Learn the knowledge and skills required for developers to utilize Java Persistence Architecture (JPA) to its fullest.
Learn how to build reusable custom JavaServer Faces (JSF) components.
Learn how to build advanced web applications using JavaScript.
Learn how to use effective JavaScript concepts like design patterns, packaging, compression, debugging and testing to write increasingly complex scripts and web applications.
Learn about the latest features of the JavaScript language.
Learn the knowledge and skills required for developers to utilize Java Persistence Architecture (JPA) to its fullest.
Learn how to utilize the advanced jQuery features and syntax.
Learn how to build reusable custom JavaServer Faces (JSF) components.
Learn about advanced Kotlin concepts and the Kotlin ecosystem.
Learn how to increase knowledge and effectiveness in the Kotlin programming language.
Learn the Kotlin programming language and begin programming in it.
Learn the skills required to build, store, and deploy containers using Docker and Kubernetes.
Learn advanced techniques for managing data and tuning models.
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.
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.
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.
Learn to use Xamarin to create multi-platform apps.
Machine Learning and Natural Language Processing
Learn to implement ML techniques for Natural Language comprehension, sentiment analysis, topic discovery, etc.
Learn how to utilize the advanced features, syntax, and related tooling to create more advanced Node.js applications.
Learn about the best practices when using Perl to write large scale programs.
Learn how to use advanced web development concepts like OO and MVC in PHP.
Learn advanced techniques for managing data and tuning models.
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.
Promote an intermediate understanding of Python and increase developer skills and techniques.
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.
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.
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.
Intermediate Redux for React Developers
Teach React developers how to use more of the Redux API in their applications.
Introduction to NgRx for Angular Developers
Learn the knowledge and tools to integrate NgRx into practice.
Learn how to use advanced Ruby features and syntax to write advanced scripts and web applications.
Learn how to leverage Ruby for web development on the Rails framework.
Learn how to use modern Solr and SolrCloud.
Learn about all of the UML diagrams in the UML 2.5 specification via our Advanced UML course.
Learn how to effectively integrate today’s best software development practices.
Learn the overall Spring platform including Spring Boot, Spring MVC, Restful Spring, testing with Spring and managing data with Spring.
Learn about advanced topics regarding TSQL.
Learn how to improve analytical ability and the ability to provide data insights.
Learn advanced Tableau knowledge and skills.
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 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.
Machine Learning and Natural Language Processing
Learn to implement ML techniques for Natural Language comprehension, sentiment analysis, topic discovery, etc.
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.
Learn how to build web pages that use AJAX to create interactivity with data on a server.
Learn about CSS’ advanced syntax and features to create scalable and maintainable stylesheets.
Learn how to utilize the advanced jQuery features and syntax.
Learn how to use advanced web development concepts like OO and MVC in PHP.
Advanced Routing in Vue.js with Vue-Router
Learn how to setup Vue routing in web applications using the Vue-Router.
Intermediate Redux for React Developers
Teach React developers how to use more of the Redux API in their applications.
Learn to use Xamarin to create multi-platform apps.
Introduction to NgRx for Angular Developers
Learn the knowledge and tools to integrate NgRx into practice.
Learn how to leverage Ruby for web development on the Rails framework.
Learn to use Xamarin to create multi-platform apps.
