Targeted Topics
Need to uplift your teams in some specific advanced skills?
Targeted Topics
Targeted Topics
Targeted Topics are short-form, customized, live online, expert-led training sessions focused on hardening advanced skills and concepts quickly.
Usual Delivery Time Frame: Two hours (up to three sessions per day)
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.
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.
Learn how to build web pages that use AJAX to create interactivity with data on a server.
Learn how to leverage Angular to its fullest potential to build testable, scalable, and full-stack web applications.
Learn the basics of web development using Angular.
Learn about advanced Apache Maven concepts.
Learn how to use Spark internals for working with NoSQL databases as well debugging and troubleshooting.
Learn the concepts for establishing security standards in AWS.
Learn to build end-to-end data applications using Microsoft Azure and understand which tools are best suited to certain problems and use-cases.
Learn how to become an expert at creating high-throughput, multithreaded, network oriented programs written in Python.
Learn a deep understanding of the logical query processing aspects of both traditional and the most advanced, modern constructs of the SQL language.
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.
Learn how to develop secure code, adapt existing code to be more secure, and address CERT coding standards in C++ where required.
Learn how to build safe, high-performing multi-threaded C++ applications.
Learn how to mature programming knowledge.
Learn the core concepts of SQL.
Learn how to use the latest capabilities of the Modern C++ language.
Learn about the latest features of the JavaScript language.
Multi-Core Programming with C++ -
Learn a baseline level of experience with multi-core programming.
Object-Oriented Programming with C++ -
Learn a baseline level of experience with object-oriented programming.
Learn to build end-to-end data applications using Microsoft Azure and understand which tools are best suited to certain problems and use-cases.
Learn how to become an expert at creating high-throughput, multithreaded, network oriented programs written in Python.
Learn how to use modern Solr and SolrCloud.
Learn how to improve analytical ability and the ability to provide data insights.
Learn how to implement secure Hadoop clusters using authentication, authorization, and encryption.
Learn advanced Tableau knowledge and skills.
Learn about advanced Apache Maven concepts.
Learn how to develop secure code, adapt existing code to be more secure, and address CERT coding standards in C++ where required.
Learn how to build safe, high-performing multi-threaded C++ applications.
Learn how to use the latest capabilities of the Modern C++ language.
Multi-Core Programming with C++ -
Learn a baseline level of experience with multi-core programming.
Object-Oriented Programming with C++ -
Learn a baseline level of experience with object-oriented programming.
Learn how to use Chef-specific tools and tactics such as Ohai plugins, Chef handlers, ChefSpec, and Custom Light-Weight Resource Providers (LWRP's).
Learn a comprehensive understanding of Spinnakers features and capabilities in relation to the standard continuous delivery and deployment concepts it supports.
Learn to build end-to-end data applications using Microsoft Azure and understand which tools are best suited to certain problems and use-cases.
Learn the concepts for establishing security standards in AWS.
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 a comprehensive understanding of Spinnakers features and capabilities in relation to the standard continuous delivery and deployment concepts it supports.
Learn about CSS’ advanced syntax and features to create scalable and maintainable stylesheets.
Learn to build end-to-end data applications using Microsoft Azure and understand which tools are best suited to certain problems and use-cases.
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 Design Patterns for Embedded Systems -
Learn to utilize design patterns in an embedded system environment.
Learn how to create and configure Kubernetes clusters.
Learn how to become an expert at creating high-throughput, multithreaded, network oriented programs written in Python.
Intermediate Google Cloud for Developers -
Learn how to utilize advanced processes and practices for the platform to improve function and security.
Learn a deeper dive into Kubernetes architecture, concepts, and container management.
Learn how to mature programming knowledge.
Learn a comprehensive understanding of Spinnakers features and capabilities in relation to the standard continuous delivery and deployment concepts it supports.
Learn how to leverage Angular to its fullest potential to build testable, scalable, and full-stack web applications.
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.
Learn the basics of web development using Angular.
Learn about the latest features of the JavaScript language.
Modern Web Application Development Tools -
Learn about Node.js tools used to manage Modern Web Application development.
React and Redux Unit Testing -
Learn how to unit test with React/Redux JavaScript applications.
Learn how to build UI components with React.
Redux Sagas for React/Redux Applications -
Learn to manage asynchronous operations within a Redux-based JavaScript application and manage code using Redux Saga library.
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 implement secure Hadoop clusters using authentication, authorization, and encryption.
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 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 how to create and configure Kubernetes clusters.
Learn a deeper dive into Kubernetes architecture, concepts, and container management.
Learn how to effectively administer a Linux development box.
Learn to build end-to-end data applications using Microsoft Azure and understand which tools are best suited to certain problems and use-cases.
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 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.
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.
Machine Learning and Natural Language Processing -
Learn to implement ML techniques for Natural Language comprehension, sentiment analysis, topic discovery, etc.
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.
Learn how to utilize the advanced features, syntax, and related tooling to create more advanced Node.js applications.
Modern Web Application Development Tools -
Learn about Node.js tools used to manage Modern Web Application development.
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.
Applied Data Science & Machine Learning -
Learn intermediate data analysis techniques and how programming languages can be used to further analyze data.
Learn how to mature programming knowledge.
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.
Learn how to mature programming knowledge.
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.
React and Redux Unit Testing -
Learn how to unit test with React/Redux JavaScript applications.
Learn how to build UI components with React.
Redux Sagas for React/Redux Applications -
Learn to manage asynchronous operations within a Redux-based JavaScript application and manage code using Redux Saga library.
Learn how to use advanced Ruby features and syntax to write advanced scripts and web applications.
Learn how to use modern Solr and SolrCloud.
.NET and Angular Secure Programming -
Learn how to develop secure code and adapt existing .NET and Angular applications to be more secure.
.NET and Angular Secure Programming -
Learn how to develop secure code and adapt existing .NET and Angular applications to be more secure.
Learn how to develop secure code, adapt existing code to be more secure, and address CERT coding standards in C++ where required.
Learn how to implement secure Hadoop clusters using authentication, authorization, and encryption.
Advanced Design Patterns for Embedded Systems -
Learn to utilize design patterns in an embedded system environment.
Learn a deep understanding of the logical query processing aspects of both traditional and the most advanced, modern constructs of the SQL language.
Learn about advanced topics regarding TSQL.
Learn the core concepts of SQL.
Learn how to effectively administer a Linux development box.
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.
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 to use Xamarin to create multi-platform apps.
