Programming Training in Cambridge

This instructor-led, live training in Cambridge (online or onsite) is aimed at advanced-level developers who wish to master the latest features in Next.js 14, optimize performance, and implement modern React techniques.

By the end of this training, participants will be able to:

• Implement advanced React hooks and concurrent features.
• Understand and utilize Next.js routing strategies effectively.
• Leverage Server Components, Server Actions, and hybrid rendering approaches.
• Optimize data fetching, caching, and incremental static regeneration.
• Use Next.js as a backend solution with Edge Functions and Edge Runtime.
• Manage state using React Context, Redux, and atomic state libraries.
• Optimize application performance for Web Core Vitals.
• Test, monitor, and deploy Next.js applications efficiently.

This instructor-led, live training in Cambridge (online or onsite) is aimed at web developers who wish to learn how to use Progressive Web Application (PWA) development features to create an app-like experience in a website using Entity Framework (EF) Core and Blazor.

By the end of this training, participants will be able to:

• Use the EF package to work with databases.
• Use Blazor components, services, dependency injection, layout, and routing.
• Create service workers to enable PWA features in an application.
• Utilize push notifications and other PWA features.

This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level to advanced-level web developers and technical architects who wish to explore the advancements of Next.js 14 and gain the knowledge to build cutting-edge web applications.

By the end of this training, participants will be able to:

• Leverage the full potential of Next.js 14 for building complex applications.
• Utilize the latest features such as Middleware, React Server Components, and Edge Functions.
• Implement best practices for performance, scalability, and SEO.
• Troubleshoot common issues in Next.js applications effectively.

This instructor-led, live training in Cambridge (online or onsite) is aimed at web developers who wish to use Blazor Web Assembly to build a web application.

By the end of this training, participants will be able to:

• Understand forms and authentication in Blazor WebAssembly.
• Create a Blazor WebAssembly project.
• Learn different ways to run your web application.

This instructor-led, live training in (online or onsite) is aimed at developers who wish to use the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.

By the end of this training, participants will be able to:

• Set up the necessary development environment that integrates FastAPI, React, and MongoDB.
• Understand the key concepts, features, and benefits of the FARM stack.
• Learn how to build REST APIs with FastAPI.
• Learn how to design interactive applications with React.
• Develop, test, and deploy applications (front end and back end) using the FARM stack.

This instructor-led, live training in Cambridge (online or onsite) is aimed at developers who wish to learn and use Livewire to build modern and dynamic application interfaces.

By the end of this training, participants will be able to:

• Build and test livewire components.
• Build applications using the Livewire library.
• Create dynamic components within PHP.

This instructor-led, live training in Cambridge (online or onsite) is aimed at web developers who wish to use Next.js to create React applications.

By the end of this training, participants will be able to:

• Develop server-side web applications and static sites in Next.js.
• Handle and store data with MongoDB.
• Secure a web application with AuthO authentication.

This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

By the end of this training, participants will be able to:

• Set up a development environment that includes Python, Pandas, and NumPy.
• Create a data analysis application using Pandas and NumPy.
• Perform advanced data wrangling, sorting, and filtering operations.
• Conduct aggregate operations and analyze time series data.
• Visualize data using Matplotlib and other visualization libraries.
• Debug and optimize their data analysis code.

This course introduces linguists or programmers to NLP in Python. During this course we will mostly use nltk.org (Natural Language Tool Kit), but also we will use other libraries relevant and useful for NLP. At the moment we can conduct this course in Python 2.x or Python 3.x. Examples are in English or Mandarin (普通话). Other languages can be also made available if agreed before booking.

This instructor-led, live training in Cambridge teaches participants how to write testable code in the form of testing units to facilitate the diagnosis, isolation, and resolution of bugs. The training walks participants through the creation of a work-ready, testing environment using the PHPUnit testing framework.

By the end of this training, participants will be able to:

• Distinguish between good and bad testing units.
• Read and interpret test results.
• Proactively manage and diagnose their code base to reduce bugs.
• Ensure that their code base is fit for continuous integration and deployment.

This instructor-led, live training in Cambridge (online or onsite) is aimed at persons who wish to program a visually attractive software application using Python and the Qt UI framework.

By the end of this training, participants will be able to:

• Set up a development environment that includes all needed libraries, packages and frameworks.
• Create a desktop or server application whose user interface functions smoothly and is visually appealing.
• Implement various UI elements and effects, including widgets, charts, layers, etc. to achieve maximum effect in usability.
• Implement good UI design and code organization during the design and development phase.
• Test and debug the application.

This instructor-led, live training in Cambridge (online or onsite) is aimed at backend developers who wish to build REST APIs with Python and Flask.

By the end of this training, participants will be able to:

• Implement a REST API to allow a Flask web application to read and write to a database in the backend.
• Develop advanced authentication features like refresh tokens.
• Build a reusable backend for future Python projects.
• Simplify storage of data with SQLAlchemy.
• Deploy REST APIs onto a cloud based server.

This instructor-led, live training in Cambridge (online or onsite) is aimed at data scientists and software engineers who wish to use Dask with the Python ecosystem to build, scale, and analyze large datasets.

By the end of this training, participants will be able to:

• Set up the environment to start building big data processing with Dask and Python.
• Explore the features, libraries, tools, and APIs available in Dask.
• Understand how Dask accelerates parallel computing in Python.
• Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask.
• Optimize the Dask environment to maintain high performance in handling large datasets.

The purpose of the training is to provide a basis for programming from the ground up to the general syntax of programming paradigms. The training is supported by examples based on programming languages ​​such as C, Java, Python, Scala, C #, Closure and JavaScript. During the training, participants gain a general understanding of both the programming patterns, best practices, commonly used design and review of the implementation of these topics through various platforms. Each of the issues discussed during the course are illustrated with examples of both the most basic and more advanced and based on real problems.

This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level software developers and QA engineers who wish to adopt and master TDD principles and practices to improve code quality and development efficiency.

By the end of this training, participants will be able to:

• Understand the principles and workflow of Test-Driven Development (TDD).
• Write effective and maintainable unit tests.
• Utilize mocking frameworks to create comprehensive test scenarios.
• Apply TDD as a design tool to create robust and flexible code.

This instructor-led, live training in Cambridge (online or onsite) is aimed at developers who wish to use .NET Core to create, build, test, debug and deploy optimized applications that can run on different systems.

By the end of this training, participants will be able to:

• Set up the development environment based on .NET Core to start developing applications.
• Utilize the ASP.NET Core framework and libraries to build new applications or optimize existing ones.
• Monitor and enhance the performance of applications using advanced .NET Core tools.
• Understand the principles behind .NET Core features and apply this knowledge to other business implementations.

Why do we need Clean Code? Programs evolve, therefore the code is continuously updated it can be very, very difficult to go back through unclean code to find and update the source code on average, the cost of writing the original code is only 40% of the total cost of a system; 60% of the cost, on average, is spent maintaining and updating code. Bad code dramatically increases that 40/60 ratio, bordering on 20/80 in the worst cases; the more unclean the code is, the more time we just spend updating it.

This instructor-led, live training in Cambridge (online or onsite) is aimed at web developers who wish to build web applications with CodeIgniter.

By the end of this training, participants will be able to:

• Use CRUD in CodeIgniter for refactoring API code.
• Extend CodeIgniter to consume dependencies.
• Load CodeIgniter models and views from containers.

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

Audience

This course is directed at developers and engineers seeking to incorporate Django in their projects

This instructor-led, live training in Cambridge (online or onsite) is aimed at developers who wish to use the advanced features of Django to create large-scale and secure web apps faster with less code.

By the end of this training, participants will be able to:

• Set up the necessary development environment to start developing web apps with Django.
• Get to know the advanced features in Django and how to implement them.
• Optimize the code using class-based views to build apps more efficiently.
• Enable and configure the messages framework in Django.
• Use the signals feature in Django to interact with decoupled applications.

This instructor-led, live training in Cambridge (online or onsite) is aimed at sysadmins who wish to set up, deploy and manage a Python-based enterprise-grade CMS (content management system).

By the end of this training, participants will be able to:

• Install and configure a production-grade Django CMS website.
• Define user roles and permissions.
• Configure database and perform maintenance operations.
• Secure, monitor, optimize, and troubleshoot a live Django CMS system.
• Peform administration tasks, including backup, restore and site migration.
• Launch multisite instances of Django CMS on-premise or to a public cloud.
• Integrate a Django CMS with third-party applications and systems.

This instructor-led, live training in Cambridge (online or onsite) is aimed at developers who wish to customize and extend a Python-based enterprise-grade CMS (content management system).

By the end of this training, participants will be able to:

• Set up the necessary development environment to start developing.
• Create custom page templates and plugins.
• Linking functionality from another application with a DJango system.
• Integrate an entire Django web application with a Django CMS website.

.NET Core is an open-source framework for creating .NET applications on Windows, macOS and Linux.

In this instructor-led, live training, participants will learn the fundamentals of .Net Core as they step through the creation of a sample application that demonstrates .Net Core's unique qualities vs other frameworks.

By the end of this training, participants will be able to:

• Setup .Net Core together with the tooling and IDEs needed to start developing right away.
• Use .Net to build various types of software, including web applications, console applications, microservices and libraries.
• Understand .Net Core's components, including class libraries, packages, metapackages and frameworks.
• Build, debug and deploy a sample web application

Audience

• Developers

Format of the Course

• Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.

Note

• This course is based on .Net Core 2.x and is available for both Windows and Linux environments.
• To request a customized training for this course, please contact us to arrange.
• To learn more about .Net Core, please visit: https://github.com/dotnet/core

In this instructor-led, live training in Cambridge, participants will learn how to use Entity Framework Core 2.0 to create an ASP.Net Core application.

By the end of this training, participants will be able to:

• Set up the necessary framework and tools for creating Entity Framework Core 2.0 MVC web applications.
• Perform database operations on MS SQL Server.
• Use a "code first" and "data first" approach to application development.
• Carry out migration & seeding operations.
• Understand advanced data modeling concepts.
• Create a sample ASP.Net Core application.

In this instructor-led, live training in Cambridge, participants will learn how to build a smart contract blockchain application with Monax.

By the end of this training, participants will be able to:

• Develop and deploy a distributed application using blockchain and smart contract technology.
• Understand design and functionality of 'smart contracts' and how to create one.
• Implement best practices for secure blockchain application development.
• Leverage Monax tools to streamline distributed application development.

This instructor-led, live training in Cambridge (online or onsite) is aimed at developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs easier and faster.

By the end of this training, participants will be able to:

• Set up the necessary development environment to develop APIs with Python and FastAPI.
• Create APIs quicker and easier using the FastAPI library.
• Learn how to create data models and schemas based on Pydantic and OpenAPI.
• Connect APIs to a database using SQLAlchemy.
• Implement security and authentication in APIs using the FastAPI tools.
• Build container images and deploy web APIs to a cloud server.

This practical course is addressed to Python developers that want to create and maintain their first web applications. It is also addressed to people who are already familiar with other web frameworks such as Django or Web2py, and want to learn how using a microframework (i.e. a framework which glues together third-party libraries instead of providing a self-contained universal solution) changes the process.

A significant part of the course is devoted not to Flask itself (it's tiny), but to third-party libraries and tools often used in Flask projects.

This instructor-led, live training in Cambridge (online or onsite) is aimed at developers who wish to use the advanced features of Flask to build scalable web applications on top of MongoDB.

By the end of this training, participants will be able to:

• Set up the necessary development environment to start developing web applications with Flask.
• Get to know the advanced concepts and techniques for real-world Flask projects.
• Build a RESTful API server on top of MongoDB.
• Learn how to containerize, test, and deploy microservices with Flask, Docker, and Amazon EC2.
• Gain some insights on the advanced Flask integrations for scaling web applications.

This instructor-led, live training in Cambridge (online or onsite) is aimed at web developers who wish to use Blazor to create full stack C# web applications.

By the end of this training, participants will be able to:

• Develop web applications with C# and Blazor.
• Use C# code to call JavaScript APIs and libraries.
• Run client-side C# code and client logic directly in a browser or server.
• Deploy Blazor web applications with Azure.

Kivy is an open-source cross-platform graphical user interface library written in Python, which allows multi-touch application development for a wide selection of devices.

In this instructor-led, live training participants will learn how to install and deploy Kivy on different platforms, customize and manipulate widgets, schedule, trigger and respond to events, modify graphics with multi-touching, resize the screen, package apps for Android, and more.

By the end of this training, participants will be able to

• Relate the Python code and the Kivy language.
• Have a solid understanding of how Kivy works and makes use of its most important elements such as, widgets, events, properties, graphics, etc.
• Seamlessly develop and deploy Android apps based on different business and design requirements.

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

This instructor-led, live training in Cambridge introduces the fundamentals of Laravel and walks participants through the creation of a Laravel-based web application.

This instructor-led, live training in Cambridge (online or onsite) is aimed at web developers who wish to use Laravel and Vue JS for fullstack web development.

By the end of this training, participants will be able to:

• Develop web applications with Laravel and Vue JS.
• Integrate the Laravel backend API into Vue JS.
• Deploy a Laravel application.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

The "Mathematica - introduction, visualization and presentation of data" training is aimed at participants with basic mathematical knowledge. Mathematica, as a powerful mathematical engine, enables effective calculations, creating text documents, building charts and presenting data. Participants will gain practical skills in working with Mathematica, used, among others, in mathematics, physics, biology, financial analysis and other fields.

This instructor-led, live training in Cambridge (online or onsite) is aimed at data scientists who wish to use machine learning in Mathematica for data analysis.

By the end of this training, participants will be able to:

• Build and train machine learning models.
• Import and prepare data for machine learning.
• Separate training data from test data.
• Explore deep learning and neural network applications in data analysis.

This instructor-led, live training in Cambridge (online or onsite) is aimed at data scientists and developers who wish to use ML.NET machine learning models to automatically derive projections from executed data analysis for enterprise applications.

By the end of this training, participants will be able to:

• Install ML.NET and integrate it into the application development environment.
• Understand the machine learning principles behind ML.NET tools and algorithms.
• Build and train machine learning models to perform predictions with the provided data smartly.
• Evaluate the performance of a machine learning model using the ML.NET metrics.
• Optimize the accuracy of the existing machine learning models based on the ML.NET framework.
• Apply the machine learning concepts of ML.NET to other data science applications.

This instructor-led, live training in Cambridge (online or onsite) is aimed at developers who wish to use Microsoft Orleans to build distributed enterprise .NET applications.

By the end of this training, participants will be able to:

• Install and configure Microsoft Orleans.
• Understand the actor model framework and how its implemented in Orleans
• Build distributed applications without having to manage complex concurrency and other scaling patterns.

This instructor-led, live training in Cambridge (online or onsite) is aimed at developers who wish to use PyGame to create and build games using Python programming.

By the end of this training, participants will be able to:

• Set up the necessary development environment to start creating game applications with PyGame and Python.
• Learn how to create interactive PyGame applications integrated with animations and multimedia features.
• Run and test game programs with PyGame test suite and convert them into executable files.

By the end of the training the delegates are expected to be sufficiently equipped with the essential python concepts and should be able to sufficiently use NLTK to implement most of the NLP and ML based operations. The training is aimed at giving not just an executional knowledge but also the logical and operational knowledge of the technology therein.

This instructor-led, live training in Cambridge (online or onsite) is aimed at web designers who wish to build cross platform and dynamic UIs using Qt Quick and QML.

By the end of this training, participants will be able to:

• Design prototypes for application UIs using QML.
• Create and implement an application's UI elements using QML.
• Implement animations, transforms, and transitions to create a more responsive experience for users of the application.

This instructor-led, live training in Cambridge (online or onsite) is aimed at backend developers who wish to build backend REST APIs with Python and Django.

By the end of this training, participants will be able to:

• Create a self documenting REST API.
• Deploy REST APIs onto a cloud based server.
• Implement APIs for application authentication.
• Build a reusable backend for future Python projects.

This instructor-led, live training in (online or onsite) is aimed at web developers who wish to build middleware and web services in Laravel.

By the end of this training, participants will be able to:

• Use Laravel PHP Aritisan to generate code and components.
• Build RESTful APIs in Laravel that can browse, read, edit, add, and delete.
• Filter and sort results based on URL parameters using RESTful APIs.

This instructor-led, live training in Cambridge (online or onsite) is aimed at developers who wish to use SciPy to create advanced scientific computing functions with Python.

By the end of this training, participants will be able to:

• Set up the necessary development environment to start creating scientific computing functions.
• Get the full benefit of SciPy features by performing practical examples of complex operations.
• Implement and optimize mathematical algorithms and functions to solve scientific problems.
• Design data structures and interpolation methods for visualization, processing, and analysis.

This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level developers and software engineers who wish to use Symfony2 to create structured, maintainable, and scalable web applications.

By the end of this training, participants will be able to:

• Understand the philosophy and structure of the Symfony2 framework.
• Use Symfony2 components such as Doctrine, Twig, and Routing effectively.
• Build secure and testable web applications using custom bundles and REST APIs.
• Integrate Symfony2 into enterprise environments and estimate project implementation costs.

This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level developers who wish to develop robust web applications using Symfony3.

By the end of this training, participants will be able to:

• Set up and configure a Symfony3 development environment.
• Build dynamic web applications using Symfony3 features and tools.
• Utilize built-in and custom services, templates, forms, and security mechanisms.
• Access databases using Doctrine ORM.
• Write automated tests and apply performance optimization techniques.

Symfony 4 is a software development framework for PHP. It contains reusable PHP libraries to facilitate the development and testing of new applications written in PHP (Web apps or APIs). Symfony 4 is a command-line software framework with the built-in commands that makes PHP code development more efficient.

In this instructor-led, live training, participants will learn to use the Symfony framework and the PHP language as they step through the creation of a PHP application.

By the end of this training, participants will be able to:

• Use Symfony 4 to create and test code written in PHP
• Create simple code for PHP that reads and writes to a database

Audience

• Programmers and web developers with working knowledge of PHP and HTML
• Advanced developers who seek more efficient development tools for faster closures
• Software designers who need to update their understanding of current development tools that match user needs

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Microsoft Visual Studio is an integrated development environment (IDE).  VB.NET (Visual Basic .NET) is a multi-paradigm, object-oriented programming language that is implemented on the .NET Framework.

Web2py is a python based free open source full-stack framework for rapid development of fast, scalable, secure and portable database-driven web-based applications.

Audience

This course is directed at Engineers and Developers using web2py as a framework for web development

This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level developers who wish to build robust and maintainable web applications using Yii 2.

By the end of this training, participants will be able to:

• Install and configure Yii 2.
• Understand Yii’s MVC architecture and project structure.
• Build secure and scalable web applications using Yii 2 components.
• Work with databases, forms, and REST APIs.

Audience

•  Developers

Format of the Course

•  Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.

This instructor-led, live training in Cambridge (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis.

By the end of this training, participants will be able to:

• Set up the necessary environment to start developing Pandas workflows at scale with Modin.
• Understand the features, architecture, and advantages of Modin.
• Know the differences between Modin, Dask, and Ray.
• Perform Pandas operations faster with Modin.
• Implement the entire Pandas API and functions.