Technical Fast Tracks
Working with time-sensitive project schedules?
Technical Fast Tracks
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 about Advanced Topics regarding TSQL.
Learn how to write complex stand-alone applications using advanced Java language features.
Learn how to build web pages that use AJAX to create interactivity with data on a server.
This course is designed as an introduction to NgRx. By the conclusion, students will have 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 -
Teach React developers how to leverage GraphQL and Apollo.
ASP.NET Identity Development -
Rapidly get .NET developers productive in ASP.NET Identity development.
AWS for Developers Fast Track -
Learn AWS and prepare for the AWS Certified Developer Exam
Improve analytical ability and the ability to provide data insights.
Provide students with 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.
Learn about advanced Apache Maven concepts.
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
Learn about CSS’ advanced syntax and features to create scalable and maintainable stylesheets.
Deep Learning with TensorFlow and Keras -
Examine Deep Learning concepts and popular tools.
Working with Deep Reinforcement Learning -
This course will provide an introduction to deep reinforcement learning, what it is, how it works and how you can apply it to real-world problems.
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 -
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.
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 -
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 -
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.
Advanced Java Swing Programming -
Learn how to create custom, reusable, Graphical User Interface (GUI) Swing components.
Learn how to build web pages that use AJAX to create interactivity with data on a server.
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 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.
Increase knowledge and effectiveness in the Kotlin programming language.
Create basic applications with the Kotlin programming language.
Learn advanced techniques for managing data and tuning models.
Improve analytical ability and the ability to provide data insights.
Applied Data Science & Machine Learning -
Explore intermediate data analysis techniques and how programming languages can be used to further analyze data.
Provide students with advanced Tableau knowledge and skills.
Introduction to Data Science & Machine Learning -
Examine 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 -
Learn to implement ML techniques for natural language comprehension, sentiment analysis, topic discovery, etc.
Machine Learning and Natural Language -
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 how to use Spark internals for working with NoSQL databases as well debugging and troubleshooting.
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.
Learn how to train new Python developers to mature their programming knowledge.
Obtain a working knowledge of 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 -
Teach React developers 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.
Learn how to use advanced Ruby features and syntax to write advanced scripts and web applications.
Learn about Advanced Topics regarding TSQL.
Deep Learning with TensorFlow and Keras -
Examine Deep Learning concepts and popular tools.
Machine Learning and Natural Language -
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.
Provide mobile app developers with an overview of using Xamarin to create multi-platform apps.
