Opleidingen
55.775
resultaten
Revit Dynamo
De cursus Revit Dynamo leert u hoe u op eenvoudige wijze nieuwe functionaliteit toevoegt aan Revit. Dynamo biedt een zogenaamde "No Code, low code" ontwikkelomgeving. Door blokken in een stroomschema te schuiven bouwt u een programma. Dit is bij uitstek geschikt voor parametrische modellen of programma's voor kleine projecten. U kunt in een mum van tijd kleine aanpassingen aan Revit maken. Iedere verandering van uw Dynamo schema resulteert direct in een ander resultaat in Revit, zonder dat u Revit opnieuw start. Als u nieuwe functionaliteit wilt toevoegen voor meerdere gebruikers van Revit kunt u doorgroeien naar de cursus Revit programmeren.
U leert gevorderde en geavanceerde technieken. De volgende onderwerpen komen aan bod:
Algemene werking Dynamo
Modeleren in Revit met Dynamo
Parametrisch modelleren
Tekenwerk automatiseren
Aanpassen Datamodel
Parameteters lezen en schrijven
Excel koppelen
Modelstudie in Dynamo: massamodelleren
Introductie programmeren
€1.490
Klassikaal
max 13
HBO
Fusion Basis
Nijmegen
wo 18 nov. 2026
Fusion is de fusie tussen de mooiste computer ondersteunde technieken (CA-technieken). Niet alleen modelleren (CAD), maar ook sterkteberekeningen (CAE), machine aansturingen (CAM en 3D printen), elektronisch ontwerpen (ECAD) en meer. Het is werkelijk een feest om met Fusion te mogen werken.
Deze cursus is bedoeld voor startende bedrijven, studenten of uitvinders met een goed idee die deze willen uitwerken tot een werkend prototype. Fusion is een onvervalst CAD CAM ontwikkelomgeving. De cursus is compact, praktisch en eindigt met een fysiek product dat tijdens de cursus ontworpen uitgewerkt en gefreesd is. Ervaren docenten en Nederlandstalig lesmateriaal.
U leert de belangrijkste tekentechnieken van Fusion met de volgende cursusonderwerpen:
User interface
Modelleren
Schetsen (eng: Sketch)
Constructie-elementen (eng: features)
Tekeningen afleiden van een model
Samenstellingen
Presentaties en fotorealistische plaatjes
Samenwerken met meer man in een project
Aansturen 3D-printer en freesmachine
Vrijvorm modelleren.
U kunt na de cursus:
- Zelfstandig tekenen met Fusion.
- Complexe 3D-varianten maken.
- 2D-werktekeningen / CAM files / 3D print files aanmaken.
€990
Klassikaal
max 14
Mbo
Micro Frontends with React
Amsterdam
ma 16 nov. 2026
en 9 andere data
The course Micro Frontends with React from SpiralTrain teaches you how to design modern, modular frontend solutions with React.
Introduction
The course Micro Frontends with React begins with an overview of micro frontend concepts and their advantages over monolithic user interfaces. Design principles are discussed, with attention to scalability and independent deployments.
React Recap
Next participants review the fundamentals of React, including JSX, components, props and state, React Hooks, and event handling. Core features such as conditional rendering, routing with React Router, and the Context API are also refreshed.
Architecture
This module covers architectural patterns for React micro frontends, including component composition, container and presenter patterns, shared versus isolated state, routing across applications, and the role of a shell architecture.
Module Federation
Participants learn how to set up Webpack Module Federation for React projects. Topics include host and remote applications, dynamic imports, shared dependencies, version handling, and best practices for runtime integration.
€2.550
Klassikaal
max 12
3 dagen
Micro Frontends with Vue
Amsterdam
wo 23 dec. 2026
en 9 andere data
The course Micro Frontends with Vue from SpiralTrain shows you how to build flexible and scalable frontend architectures using Vue.
Introduction
The course Micro Frontends with Vue begins with an introduction to the concept of micro frontends and their differences from monolithic applications. Use cases, and core principles are explained with examples from industry practice.
Vue Recap
Next, participants review essential Vue concepts including components, directives, reactivity, props and events, routing with Vue Router, and the Composition API. This recap ensures a solid basis for building micro frontends.
Architecture
This module explores architecture patterns and design approaches for Vue micro frontends. Topics include component composition, event bus communication, routing strategies, shell applications, lazy loading, and error boundaries.
Module Federation
Participants learn how to use Webpack Module Federation with Vue. Covered are host and remote apps, dynamic imports, shared libraries, version handling, runtime integration, and best practices for setup and error handling.
Integration
Integration is discussed with focus on UI composition, shared navigation, cross-app routing, and service integration.
€2.550
Klassikaal
max 12
3 dagen
Micro Frontends with Angular
Amsterdam
wo 9 dec. 2026
en 9 andere data
The course Micro Frontends with Angular from SpiralTrain teaches you how to design and implement scalable frontend architectures using Angular.
Introduction
The course Micro Frontends with Angular starts with an overview of the differences between monolithic applications and micro frontends. Benefits, key principles, and real-world examples of micro frontend architectures are discussed.
Angular Recap
Next a short recap of core Angular concepts is given, including components and templates, dependency injection, modules, routing, and change detection, as a foundation for building micro frontends.
Architecture
This module covers architectural patterns and design choices such as domain-driven design, component communication, the use of an event bus, lazy loading, and versioning strategies.
Module Federation
Here participants learn to work with Webpack Module Federation, including host and remote applications, dynamic imports, shared libraries, and best practices for runtime integration.
Integration
This part focuses on integrating micro frontends into a complete application. Topics include routing integration, UI composition, cross-app communication, the role of a shell application, and handling authentication and authorization.
€2.550
Klassikaal
max 12
3 dagen
Building Large Language Models
Amsterdam
ma 14 dec. 2026
en 9 andere data
The course Building Large Language Models from SpiralTrain teaches you how to design, train, fine-tune, and deploy transformer-based LLMs using PyTorch and modern tooling.
LLM Intro
The course starts by explaining what LLMs are, where they’re used, and the lifecycle of building vs. using them. We introduce the Transformer/GPT architecture, how models learn from large datasets, and when to use classic QA versus RAG.
Working with Text Data
You’ll move from raw text to model-ready tensors: tokenization (e.g., BPE), token→ID mapping, special/context tokens, and sliding-window sampling. We cover embeddings and positional encodings while handling unknown words and basic sentence structure.
Attentions Mechanism
This module demystifies self-attention for long-sequence modeling: queries, keys, values, and causal masking to hide future tokens. We add positional encoding, multi-head attention, and stacked layers to capture dependencies across different parts of the input.
Pytorch Deep Learning
This module explains PyTorch fundamentals—tensors, core operations, and training loops—with the tooling to measure model quality. We cover feature scaling/normalization (including categorical features), activation and loss functions, and backpropagation.
€3.400
Klassikaal
max 12
4 dagen
Agentic AI with LangChain
Amsterdam
ma 18 jan. 2027
en 9 andere data
The course Agentic AI with LangChain from SpiralTrain teaches you how to build intelligent, autonomous AI agents that can reason, plan, and execute complex tasks.
Intro Agentic AI
The course Agentic AI with LangChain begins with a comprehensive introduction to agentic AI systems, exploring how they differ from traditional chatbots and what makes an agent truly autonomous. The architecture patterns, core components, and the role of LLMs as reasoning engines are discussed, along with common challenges and real-world use cases.
LangChain Fundamentals
This module provides a thorough foundation in the LangChain framework, covering its architecture, the distinction between chains and agents, and essential components like prompt templates, memory modules, and document loaders.
Building First Agent
Here participants create their first functional AI agent from scratch. The module covers choosing appropriate LLMs, defining clear agent goals, writing effective prompts, integrating tools, managing state, and implementing robust error handling.
Agent Tools and Actions
This part focuses on expanding agent capabilities through tools and actions. Participants learn to create custom tools, integrate APIs, connect to databases, implement search functionality, enable web scraping, and handle tool execution errors properly.
€2.550
Klassikaal
max 12
3 dagen
Multi Agents with LangChain and LangGraph
Amsterdam
ma 18 jan. 2027
en 9 andere data
The course Multi Agents with LangGraph from SpiralTrain teaches you how to design and build sophisticated multi-agent AI systems using LangGraph.
Introduction LangGraph
The course Multi Agents with LangGraph begins with a comprehensive introduction to LangGraph, exploring how it differs from traditional agent frameworks. Graph-based architectures, StateGraph concepts, nodes, edges, and conditional routing are discussed.
Graph Fundamentals
This module covers essential graph theory concepts including directed graphs, state machines, and different node and edge types. Participants learn about entry points, conditional edges, cyclic graphs, and techniques for graph compilation and visualization.
State Management
State management in LangGraph is explored in depth, covering state schema definition using TypedDict, state updates, reducers, and immutability. The module addresses checkpointing, state persistence, restoration, and debugging techniques.
Building Agents
Here participants learn to build agent nodes with tool-calling capabilities using the ReAct pattern. Topics include custom agent logic, agent state management, error handling, monitoring, testing, and established best practices for robust agent development.
€4.250
Klassikaal
max 12
5 dagen
N8N Workflow Automation
Amsterdam
ma 4 jan. 2027
en 9 andere data
The course N8N Workflow Automation from SpiralTrain teaches you how to design and build powerful automation workflows using the n8n platform.
Introduction to N8N
The course N8N Workflow Automation begins with an introduction to n8n and workflow automation concepts. Self-hosted versus cloud options, installation, the n8n interface, nodes, triggers, and practical use cases are explored.
Building Workflows
This module covers creating workflows from scratch including trigger and action nodes, configuration, data mapping, testing, error handling basics, workflow organization, and using templates for rapid development.
Advanced Nodes
Here participants learn to work with advanced nodes including HTTP requests, webhooks, code execution, functions, conditional logic with IF and Switch nodes, data merging, splitting, and loop operations.
Integration and APIs
This part focuses on integrating external services through API authentication methods, OAuth, connecting third-party applications like Slack and Google Workspace, database connections, and building custom integrations.
Data Transformation
Data manipulation techniques are addressed including JSON processing, the expression language, filtering, aggregation, date-time functions, string and array operations, data validation, and error recovery strategies.
€1.699
Klassikaal
max 12
2 dagen
AutoGPT Workflow Automation
Amsterdam
ma 23 nov. 2026
en 9 andere data
The course AutoGPT Workflow Automation from SpiralTrain teaches you how to build autonomous AI agents using AutoGPT and similar frameworks.
Introduction AutoGPT
The course AutoGPT Workflow Automation begins with an introduction to autonomous AI agents and AutoGPT. Agent frameworks comparison, installation, configuration, goal setting, memory systems, and practical use cases are explored.
Agent Architecture
This module covers the agent loop design including goal decomposition, task planning, reasoning processes, self-reflection, critique mechanisms, decision making, action selection, and feedback loops for continuous improvement.
Tools and Plugins
Here participants learn to work with built-in tools and develop custom tools. Topics include API integrations, web browsing, file operations, code execution, search capabilities, database access, and plugin architecture.
Memory Management
Memory systems are addressed including short-term and long-term memory, vector databases, retrieval strategies, context window management, conversation history, knowledge storage, embeddings, and state persistence for autonomous agents.
€1.699
Klassikaal
max 12
2 dagen