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Automating Cisco Data Center Networking Solutions (DCNAUTO)
The Automating Cisco Data Center Networking Solutions (DCNAUTO) training teaches you how to implement and optimize automation in Cisco data center environments. You will gain hands-on experience wi...
The Automating Cisco Data Center Networking Solutions (DCNAUTO) training teaches you how to implement and optimize automation in Cisco data center environments. You will gain hands-on experience with Cisco Nexus platforms, programmability features, and modern automation tools used to streamline operations across switching, compute, and fabric controllers. The training covers foundational concepts in network programmability, then advances into day-zero provisioning, on-box automation using Bash, Python, and Guest Shell, and off-box automation with Cisco NX-API, NETCONF/RESTCONF, and YANG models. You will also explore Infrastructure as Code (IaC) workflows with Cisco Nexus Dashboard Fabric Controller (NDFC), Ansible, and Terraform, as well as network validation and testing with Cisco pyATS. Finally, you will learn how AI-driven operations enhance network automation and simplify lifecycle management.
This training prepares you for the 300-635 DCNAUTO v2.0 exam. If passed, you earn the Cisco Certified Specialist - Data Center Networking Automation certification and satisfy the concentration exam requirements for the Cisco Certified Network Professional (CCNP) Data Center and Auto...
- Explain the role of programmability and automation in Cisco data center networks
- Explain the benefits of programmability compared to manual CLI workflows
- Identify data models and data formats (XML, JSON, YAML) used in Cisco automation frameworks
- Use version control systems such as Git for storing and managing configuration files
- Perform day-zero provisioning on Cisco Nexus devices using Power-On Auto Provisioning (POAP)
- Enable and use the Bash shell and Guest Shell on Cisco Nexus...
- Network Designers
- Systems Engineers
- Wireless Engineers
- Consulting Systems Engineers
- Technical Solutions Architects
- Network Administrators
- Wireless Design Engineers
- Network Managers
- Site Reliability Engineers
- Deployment Engineers
- Sales Engineers
- Account Managers
- Program Managers
- Project Managers
- Day-Zero Provisioning
- On-Box Automation with Cisco NX-OS
- Cisco Nexus Automation with NX-API CLI
- Cisco Nexus Programmability with NX-API REST
- Model-Driven Programmability on NX-OS
- IaC Tools
- IaC Lifecycle
- Cisco NX-OS Automation with IaC Tools
- Cisco ACI Automation with IaC Tools
- Cisco Nexus Dashboard Automation with IaC Tools
- Simulation of Data Center Topologies
- Network Change Validation with pyATS
- Model-Driven Telemetry Implementation
- Troubleshoot Infrastructure Auto...
€3.195
Klassikaal
5 dagen
Operationalize machine learning and generative AI solutions (AI-300T00)
Utrecht
ma 7 dec. 2026
en 2 andere data
This course prepares learners to design, implement, and operate Machine Learning Operations (MLOps) and Generative AI Operations (GenAIOps) solutions on Azure. It covers building secure and scalabl...
Operationalize machine learning models (MLOps)
- Experiment with Azure Machine Learning
- Perform hyperparameter tuning with Azure Machine Learning
- Run pipelines in Azure Machine Learning
- Trigger Azure Machine Learning jobs with GitHub Actions
- Trigger GitHub Actions with feature-based development
- Work with environments in GitHub Actions
- Deploy a model with GitHub Actions
Operationalize generative AI applications (GenAIOps)
- Plan and prepare a GenAIOps solution
- Manage prompts for agents in Microsoft Foundry with GitHub
- Evaluate and optimize AI agents through structured experiments
- Automate AI evaluations with Microsoft Foundry and GitHub Actions
- Monitor your generative AI application
- Analyze and debug your generative AI app with tracing
This course is intended for data scientists, machine learning engineers, and DevOps professionals who want to design and operate production-grade AI solutions on Azure. It is suited for learners with experience in Python, a foundational understanding of machine learning concepts, and basic familiarity with DevOps practices such as source control, CI/CD, and command-line tools, who are preparing to implement MLOps and GenAIOps workflows using Azure-native services.
€2.095
Klassikaal
4 dagen
Introduction to navigating the modern Contact Center (AB-7011)
Utrecht
vr 11 dec. 2026
en 2 andere data
This course introduces Microsoft Dynamics 365 Contact Center, focusing on its core features and user experiences. Participants will gain an understanding of the platform’s work allocation capabilit...
- Get started with Dynamics 365 Contact Center
- Deploy a Voice channel in Dynamics 365 Customer Service
- Set up a Microsoft Copilot Studio agent for voice
- Use Multilingual Voice Agents with IVR in Dynamics 365 Contact Center
- Design a Copilot Studio voice agent rule manager for real-time changes to Dynamics 365 Contact Center IVR
This course is intended for you if you’re seeking to start your journey using Contact Center as a Service (CCaaS). You aim to grasp how Contact Center as a Service (CCaaS) can benefit your organization by recognizing the importance of modern contact centers, integrating with both first- and third-party CRM systems, and efficiently assisting and resolving support-related challenges. You also seek to communicate seamlessly across multiple channels, enhance customer service representative produc...
€695
Klassikaal
1 dag
Develop AI-enabled database solutions (DP-800T00)
Utrecht
ma 7 dec. 2026
en 2 andere data
This course provides students with the knowledge and skills to design and develop AI enabled database solutions across Microsoft SQL platforms, including SQL Server, Azure SQL, and SQL databases in...
Design and develop database solutions
- Design and implement database objects with SQL
- Implement programmability objects with SQL
- Write advanced T-SQL code
- Implement SQL solutions by using AI-assisted tools
Secure, optimize, and deploy database solutions
- Implement data security and compliance with SQL
- Optimize database performance
- Implement CI/CD by using SQL Database Projects
- Integrate SQL solutions with Azure services
Implement AI capabilities in database solutions
- Design and implement models and embeddings with SQL
- Design and implement intelligent search with SQL
- Design and implement RAG with SQL
The audience for this course is data
professionals who want to learn about designing and developing AI-enabled
database solutions across Microsoft’s SQL platforms, including SQL Server,
Azure SQL, and SQL databases in Microsoft Fabric. This role develops
database solutions that include both structured and semi-structured data and
integrates AI features into modern and highly scalable enterprise applications.
€2.095
Klassikaal
3 dagen
Extract insights from visual data on Azure (AI-3008)
Utrecht
ma 7 dec. 2026
en 2 andere data
This 1‑day course focuses on building intelligent applications that can see, interpret, and reason over images and documents using different multimodal models and agent-based tools. Learners explor...
Develop a vision-enabled generative AI application
- Introduction
- Use a vision-capable model in the Microsoft Foundry portal
- Develop a vision-based chat app
- Exercise - Develop a vision-enabled chat app
- Module assessment
- Summary
Generate images with AI
- Introduction
- What are image-generation models?
- Explore image-generation models in Microsoft Foundry portal
- Create a client application that uses an image generation model
- Exercise - Generate images with AI
- Module assessment
- Summary
Generate videos with Microsoft Foundry
- Introduction
- Deploy a video generating model
- Generate video from a prompt
- Generate video in Python
- Exercise - Generate video with Sora 2 in Microsoft Foundry
- Module assessment
- Summary
Analyze images with Content Understanding
- Introduction
- What is Content Understanding?
- Analyze images with Content Understanding
- Exercise - Analyze images with Content Understanding
- Module assessment
- Summary
Create a multimodal analysis solution with Azure Content Understanding
- Introduction
- What is Azure Content Understanding?
- Create a Content Understanding analyzer
- Use the Content Understanding API
- Exercise - Ext...
This course is designed for developers, AI engineers, and technical professionals who want to build applications that work with images and documents using multimodal, agent-driven approaches. It’s best suited for learners with basic programming experience and a general understanding of cloud or AI concepts.
€695
Klassikaal
1 dag
Implement data engineering solutions using Azure Databricks (DP-750T00)
Utrecht
ma 7 dec. 2026
en 2 andere data
Master end-to-end data engineering with Azure Databricks and Unity Catalog. This course moves from foundational setup to production deployment, covering environment configuration and enterprise-gra...
Set up and configure an Azure Databricks environment
- Explore Azure Databricks
- Understand Azure Databricks architecture
- Understand Azure Databricks Integrations
- Select and Configure Compute in Azure Databricks
- Create and organize objects in Unity Catalog
Secure and govern Unity Catalog objects in Azure Databricks
- Secure Unity Catalog objects
- Govern Unity Catalog objects
Prepare and process data with Azure Databricks
- Design and implement data modeling with Azure Databricks
- Ingest data into Unity Catalog
- Cleanse, transform, and load data into Unity Catalog
- Implement and manage data quality constraints with Azure Databricks
Deploy and maintain data pipelines and workloads with Azure Databricks
- Design and implement data pipelines with Azure Databricks
- Implement Lakeflow Jobs with Azure Databricks
- Implement development lifecycle processes in Azure Databricks
- Monitor, troubleshoot and optimize workloads in Azure Databricks
The target audience is data engineers who have fundamental knowledge of data analytics concepts, a basic understanding of cloud storage, and familiarity with data organization principles. They should be comfortable working with SQL and have experience using Python, including notebooks, for data engineering tasks. Learners are expected to have a good understanding of Azure Databricks workspaces and Unity Catalog, along with familiarity with data access patterns and core data engineering and da...
€2.095
Klassikaal
4 dagen
Secure AI solutions in the cloud using Microsoft Defender for Cloud and Microsoft Entra (SC-5009)
Utrecht
vr 18 dec. 2026
en 2 andere data
Secure AI solutions in the cloud by configuring AI workloads, applying cloud-native protections, and reinforcing security outcomes with identity controls. Learn how AI workloads authenticate, how t...
Protect Microsoft Foundry solutions by using Microsoft Defender for Cloud
- Understand how Microsoft Defender for Cloud supports AI security and governance in Azure
- Protect AI workloads with Microsoft Defender for Cloud
- Configure and manage guardrails in Microsoft Foundry
- Secure Microsoft Foundry environments
Secure AI identity infrastructure with Microsoft Entra
- Understand identity architecture for AI workloads
- Implement access management for Azure resources
- Plan, implement, and administer Conditional Access
- Manage Microsoft Entra Identity Protection
This course is intended for professionals responsible for securing and operating AI workloads in the cloud. The audience includes cloud security engineers, platform engineers, and application teams working with AI services who need to understand how workload protection, security posture, and identity controls apply to AI environments. Familiarity with Azure, cloud-native security concepts, and basic identity and access principles is recommended.
€795
Klassikaal
1 dag
Build intelligent applications (AB-410T00)
Utrecht
ma 7 dec. 2026
en 2 andere data
This course teaches learners how to design and build intelligent applications on the Microsoft Power Platform by using AI, copilots, and agents to solve real business problems. Learners explore how...
Get started with AI-first solutions in Microsoft Power Platform
- Design AI-powered business solutions with Microsoft Power Platform
- Create effective prompts for generative AI training tools
- Turn business ideas into Power Platform solutions with Plans
Build your data model with Microsoft Dataverse
- Create tables in Dataverse
- Create and manage columns within a table in Dataverse
- Get started with security roles in Dataverse
Build intelligent apps and portals with Microsoft Power Apps
- Get started with Power Apps canvas apps
- Customize a canvas app in Power Apps
- Publish, share, and maintain a canvas app
- Get started with model-driven apps in Power Apps
- Configure forms, charts, and dashboards in model-driven apps
- Core components of Power Pages
- Explore Power Pages design studio
Automate and extend your solutions with AI in Microsoft Power Automate
- Get started with Power Automate
- Use Dataverse triggers and actions in Power Automate
- Build approval flows with Power Automate
- Create AI Builder prompts using your own Dataverse data
This course is designed for individuals who want to learn how to build intelligent applications using the Microsoft Power Platform and are new to using AI, copilots, and agents in solution design. It is ideal for learners with a general understanding of business processes or app building who want to develop the skills to analyze requirements, select appropriate Power Platform components, and create AI‑enhanced solutions. The course introduces how AI and agents can improve application behavior...
€1.595
Klassikaal
3 dagen
Design and build integrated AI agent solutions in Copilot Studio (AB-620T00)
Utrecht
ma 7 dec. 2026
en 2 andere data
Important
**This course will be available on 7/31/2026.
In this course, you learn how to design, build, and manage production‑ready AI agent solutions using Microsoft Copilot Studio—with a focus o...
Design agent conversations and responses using topics in Microsoft Copilot Studio
- Deliver rich agent responses using Adaptive Cards in Microsoft Copilot Studio
- Take action from agent conversations using topics and tools in Microsoft Copilot Studio
- Generate AI-powered agent responses using generative answers in Microsoft Copilot Studio
Design and build multi-agent solutions in Microsoft Copilot Studio
- Design multi-agent solutions in Microsoft Copilot Studio
- Delegate agent tasks using child agents in Copilot Studio
- Build multi-agent solutions using connected agents in Copilot Studio
- Build cross-platform multi-agent solutions using the Agent2Agent protocol in Microsoft Copilot Studio
Integrate agents with enterprise systems in Microsoft Copilot Studio
- Design integration strategies for agents in Microsoft Copilot Studio
- Take action in external systems using connector and REST API agent tools in Microsoft Copilot Studio
- Ground agents with enterprise knowledge using connectors and Azure AI Search in Microsoft Copilot Studio
- Integrate agents with external systems via MCP in Microsoft Copilot Studio
By the end of this course, you’ll be able to:
- Design Copilot Studio agents that integrate with enterprise systems and data using connectors, APIs, Azure AI Search, and Model Context Protocol (MCP)
- Build and orchestrate advanced workflows and multi‑agent solutions
- Automate complex scenarios, including human‑in‑the‑loop and computer‑use workflows
- Apply identity, security, governance, and responsible AI considerations during solution design and implementation
- Test, monitor, and manag...
This course is designed for advanced builders and professional developers who want to design, extend, and integrate Copilot Studio agents. Your goal is to automate real business processes by connecting agents to enterprise data, systems, and services—while applying sound design, security, governance, and responsible AI practices. You should already have hands‑on experience building agents in Copilot Studio, an intermediate understanding of generative AI concepts, proficiency working with REST...
€1.695
Klassikaal
3 dagen
Developing in Agentic AI Systems (GH-600T00)
Utrecht
ma 7 dec. 2026
en 1 andere data
This course is designed to build practical skills in developing, deploying, and managing agentic AI systems within GitHub-based software development workflows. The course explores how to integrate...
- Foundations of Agentic AI in GitHub
- Designing Agent Architecture and SDLC Integration
- Tooling, MCP, and Agent Execution Environments
- Multi-Agent Systems and Orchestration
- Memory, State, and Evaluation
- Governance, guardrails, and operations
Learners should have subject matter expertise in operating, integrating, supervising, and governing AI agents inside production-grade SDLC workflows and development environments, ensuring reliability, safety, and velocity using GitHub as the system of record and control plane. Learners work closely with architects, platform engineers, DevOps engineers, application developers, product managers, and security engineers to develop, deploy, operate, and manage agents that operate within the GitHub...
€795
Klassikaal
1 dag