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Dapr Essentials for Java Developers
Build microservices easier and faster with Dapr
Dapr (distributed application runtime) is an open-source, cross-platform runtime for building microservices in different technology stacks.
Additionally, Dapr also offers a set of building blocks. These building blocks provide a solution for some of the challenges one faces when building microservices. Examples include synchronous communication between services (including discovery and resilience), asynchronous communication using the publish/subscribe pattern, storing contextual information in an external state store, handling sensitive data like usernames and passwords, and monitoring the services and all communication between them.
In this workshop, you will learn about Dapr and how to apply Dapr in a step-by-step manner. The workshop consists of several modules. Each module starts with a theoretical part. With some modules, you then take this into practice in hands-on assignments. In these assignments, you apply Dapr yourself and build an entire microservices-based application.
In the hands-on assignments, we use the Dapr Java SDK, but you are free to use the Dapr SDK for the technology stack of your choice. However, if you choose to do so, you are expected to re…
€895
Klassikaal
max 12
1 dag
Artificial Intelligence for Business
Learn what AI encompasses and how it is currently entwined in our daily lives
Without programming, you will learn what AI encompasses and how it is currently entwined in our daily lives. Through interaction and exercises, you will understand the workings of Machine Learning and Deep Learning. You will even create your own Machine Learning algorithm!
Of course Microsoft Cloud with Azure will also be discussed. Through a clear demo we will show how to build a Machine Learning model. We will make both a Customer Churn and an Image Classifier model, so we can touch upon multiple aspects of Azure.
You will also learn how to test AI/ML solutions and which questions to pose to your supplier. Finally, you will use our AI Experiment Canvas. With this, you will come up with a number of possible applications for AI in your organisation, after which you will expand one of those ideas into a fully defined experiment such that you could start the experiment the next day.
- Intro AI (including AI in your Daily Life Bingo)
- AI & Azure Cloud (with demos)
- Machine Learning (what is it, how does a machine learn, build an algorithm yourself)
- Introduction Deep Learning (what does a neural network do)
- Explainable AI (how to explain your model, which tool…
€1.610
Klassikaal
max 12
2 dagen
Entity Framework: Data Access in .NET
Utrecht
wo 30 sep. 2026
en 3 andere data
Develop Data Access Applications using Microsoft Visual Studio and Entity framework
In this training you will learn how to read data from a relational database using the Entity Framework, how to write it back after you have adjusted it. You get to know the Entity Framework thoroughly and among others you will learn to work with migrations, transactions and concurrency.
- Understand the concept of an ORM [Understand]
- Apply Code First [Apply]
- Apply Querying an entity data model. [Apply]
- Understand Loading entities [Understand]
- Apply migrations [Apply]
- Understand using CRUD operations in Entity Framework Core [Understand]
- Mismatch between OO and Relational Model
- ORM
- Entity types
- Entity properties
- Keys
- Fluent API vs. Data annotations
- Inheritance solutions:
- Table per Hierarchy
- Table per Type
- Table per Concrete Type
- One to many
- One to one
- Many to many
- LINQ
- IQueryable
- Loading related data:
- Eager loading
- Explicit loading
- Lazy loading
- Pagination
- Add a new item
- Update an item
- Delete an item
- Saving related data
- Concurrency conflicts
- Transactions
- FromSQL, SQLQuery, ExecuteSQL
- Database functions
- Query filters
- Add Migration
- Update the database
- Seeding
…
€2.175
Klassikaal
max 12
3 dagen
Domain-Driven Design: Modeling Complex Software Systems
Utrecht
di 13 okt. 2026
en 2 andere data
Tackling Complexity in the Heart of Software
This training is intended for mediors and seniors who want to work with Domain-Driven Design (DDD) in practice. You will learn the concepts of DDD and apply them in scenarios that go beyond simple examples.
Domain-Driven Design has two sides. A more process- and design-oriented side, that is what the Strategic Patterns are about, and a software-oriented side, the Tactical Patterns. Since the release of Eric Evans' 'blue book / the blue pill' in 2003 (title Domain-Driven Design), DDD has expanded enormously. All kinds of patterns related to DDD have emerged in the global community. Think of Event-driven Architecture, CQRS, Event Sourcing, Micro Services, Eventual Consistency, Event Storming, etc.
In this training all these patterns are discussed and we discuss the underlying coherence. The training goes beyond an introduction of these terms. We also look at the details, the do’s and don'ts and practical application.
The training is run during three separate days. Between these days you are expected to practice with the learned concepts. You will receive homework for this (study load half to a full day).
Program:
Day 1
- Introduction
- Strategic Patterns (Ubiquitou…
€2.415
Klassikaal
max 12
3 dagen
Cucumber: Specification by Example in Java
Utrecht
do 17 dec. 2026
en 1 andere data
Expand your hands-on knowledge of Specification by Example with Cucumber for Java.
In this training, you'll build on your practical knowledge of Specification by Example by diving into Cucumber for Java. By the end of this course, you'll know how to automate Gherkin scenarios.
By writing examples in Gherkin, we can automate them in Java using the open-source Cucumber framework (https://cucumber.io/). We’ll focus heavily on creating maintainable automated scenarios.
The training emphasizes on hands-on exercises.
You can follow the "Specification by Example" training separately beforehand (see 'Related Courses' below).
- Explain why you would want to use Acceptance test driven development (with Gherkin and Cucumber) [Understand]
- Explain the basic concepts of Gherkin [Understand]
- Explain the basic concepts of Cucumber [Understand]
- Produce code that uses Gherkin feature files and Cucumber to execute one or more specifications. [Apply]
- Improve existing scenarios by using parametrization. [Create]
- Improve the organisation and structure of a test suite that consists of Gherkin features and Cucumber step definitions. [Create]
- Explain the pitfalls and best practices when using ATDD. [Understand]
- Produce code that needs shared state b…
€1.610
Klassikaal
max 12
2 dagen
Developing Databases using SQL Server
Utrecht
di 24 nov. 2026
Learn the essentials to implementing databases with SQL Server
As a developer you learn how to implement a Microsoft SQL Server database. The course focuses on hans on experience with all common database objects and concepts. You learn how to create tables and other objects like views, functions, stored procedures and triggers. This training also includes indexing, execution plans, concurrency and using constraint for data integrity.
After completing this course, you will be able to:
- Design and Implement Tables, Views, Stored Procedures, User Defined Functions and Triggers
- Ensure Data Integrity through Constraints
- Describe, implement and optimize indexes, including Columnstore indexes
- Understand and implement concurrency in SQL Server
AI-Boosted: Students are encouraged to explore the use of AI tools (such as copilot) to avoid repetitive tasks and accelerate understanding of complex concepts.
- Introduction Database Development
- Design and Implement Tables
- Ensure Data Integrity through Constraints
- Describe indexes, including Columnstore indexes
- Understand, monitor and optimize Query Execution Plans and Statistics
- Design and Implement Views
- Design and Implement Stored Procedures
- Design and Implem…
€2.415
Klassikaal
max 12
3 dagen
Dimensional Modeling
Utrecht
ma 16 nov. 2026
en 1 andere data
Implement Dimensional Models for Business Intelligence
The course Dimensional Modeling, based on Ralph Kimball's ideas and guidelines, provides you with the skills necessary to effectively apply dimensional modeling techniques for Business Intelligence solutions.
You learn to design dimension and fact tables and to track history in order to meet the reporting, analysis, flexibility and performance requirements of the Business Intelligence environment.
- Introduction to Data Warehousing & Data Platforms
- Principles of Dimensional Modeling
- Time, Product and Customer Dimensions
- Fact Tables
- Multiple Fact Tables and Aggregate Tables
- History Tracking (Slowly Changing Dimensions)
- Recursive Relationships
- Data Population, Data Quality and Tools
- Trends in Data Modeling & Data Platforms
€1.610
Klassikaal
max 12
2 dagen
Docker Fundamentals
Utrecht
ma 12 okt. 2026
en 2 andere data
Package your app in a container with Docker
Docker is a platform that enables developers and administrators to package an application inside a container. Using a
container to ship your application helps to guarantee behavior of your application does not change across different
environments. This can be a great benefit to your work as a system administrator, but only when you have a solid
understanding of the docker platform.
After a short intro on containerization in general and your first docker commands, this course will teach you how to
build your own containers and package your application inside. Topics discussed are automating container creation,
working with a registry for distribution and composing complex applications with Docker Compose.
- Introduction to containerization with Docker
- Containers vs images
- Automated building of Images
- Working with Docker hub and registries
- Multi container application composition
€1.610
Klassikaal
max 12
2 dagen
Implementing a Machine Learning solution with Azure Databricks (DP-3014)
Learn to train, tune and manage machine learning models with Azure Databricks
Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale.
- Provision an Azure Databricks workspace.
- Identify core workloads and personas for Azure Databricks.
- Describe key concepts of an Azure Databricks solution.
- Describe key elements of the Apache Spark architecture.
- Create and configure a Spark cluster.
- Describe use cases for Spark.
- Use Spark to process and analyze data stored in files.
- Use Spark to visualize data.
- Prepare data for machine learning
- Train a machine learning model
- Evaluate a machine learning model
- Use MLflow to log parameters, metrics, and other details from experiment runs.
- Use MLflow to manage and deploy trained models.
- Use the Hyperopt library to optimize hyperparameters.
- Distribute hyperparameter tuning across multiple worker nodes.
- Use the AutoML user interface in Azure Databricks
- Use the AutoML API in Azure Databricks
- Train a deep learning model in Azure Databricks
- Distribute deep learning training by using the Horovod library
€805
Klassikaal
max 12
1 dag
Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420)
Learn how to create application using the SQL API and SDK for Azure Cosmos DB
This course teaches developers how to create application using the SQL API and SDK for Azure Cosmos DB. Students will learn how to write efficient queries, create indexing policies, manage and provisioned resources, and perform common operations with the SDK.
Audience Profile
Software engineers tasked with authoring cloud-native solutions that leverage Azure Cosmos DB SQL API and its various SDKs. They are familiar with C#, Python, Java, or JavaScript. They also have experience writing code that interacts with a SQL or NoSQL database platform.
Skills gained
- Create and configure Azure Cosmos DB SQL API account, database, and container
- Use the .NET SDK to manage resources and perform operations
- Perform queries of varying complexity
- Design a data modeling and partitioning strategy
- Optimize queries and indexes based on characteristics of an application
- Use the Azure Resource Manager to manage accounts and resources with CLI or JSON and Bicep templates
This course prepares for exam Exam DP-420: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB. This entitle you to Microsoft Certified: Azure Cosmos DB Developer Specialt…
€3.220
Klassikaal
max 12
4 dagen