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  • 1 Day ILT, VILT

    Configure secure access to your workloads using Azure virtual networking

    In this learning path, you practice configuring secure access to workloads using Azure networking.

  • 1 Day ILT, VILT

    Deploy containers by using Azure Kubernetes Service (AKS)

    In this learning path, you practice deploying containers, container orchestration, and managing clusters on Azure Kubernetes Service. The skills validated include deploying, configuring, and scaling an Azure Kubernetes Service cluster. Also, deploying an Azure Container Registry instance and deploying an application into an Azure Kubernetes Service cluster.

  • 1 Day ILT, VILT

    Create computer vision solutions with Azure AI Vision

    Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI Vision includes multiple services that support common computer vision scenarios.

    As of 13th June, the AI-102 Develop AI Solutions in Azure course has been updated and restructured by combining together these five 1-day AI courses into a single, comprehensive learning experience:

    This update provides learners with a more cohesive and in-depth journey through key AI concepts and applications.

     

  • 1 Day ILT, VILT

    Develop natural language processing solutions with Azure AI Services

    Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.

    As of 13th June, the AI-102 Develop AI Solutions in Azure course has been updated and restructured by combining together these five 1-day AI courses into a single, comprehensive learning experience:

    This update provides learners with a more cohesive and in-depth journey through key AI concepts and applications.

    Lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.

  • 3 Days ILT, VILT

    ITIL 4 Specialist: Plan Implement and Control

    The ITIL® 4 Specialist: Plan, Implement and Control is a comprehensive combined practice module designed for IT professionals seeking to establish seamless cross-practice collaboration and optimize service value streams.

    The ITIL® 4 Specialist: Plan, Implement and Control course encompasses key concepts from five essential ITIL practices:

    • Change Enablement
    • Deployment Management
    • Release Management
    • Service Configuration Management
    • IT Asset Management
  • 3 Days ILT, VILT

    ITIL 4 Specialist: Collaborate, Assure & Improve

    The ITIL® 4 Specialist: Collaborate, Assure and Improve is a combined practice module that aims to help IT professionals collaborate effectively, ensure quality, and drive improvement with a combination of five practices.

    The ITIL® 4 Specialist: Collaborate, Assure and Improve course covers the key concepts of five ITIL practices, namely:

    • Relationship Management
    • Supplier Management
    • Service Level Management
    • Continual Improvement
    • Information Security Management
  • 3 Days ILT, VILT

    ITIL 4 Specialist: IT Asset Management

    The ITIL 4 Specialist: IT Asset Management certification course is designed for IT professionals involved in managing costs and risks, monitoring and ensuring compliance, and good governance of IT assets.

    Based on the ITIL 4 framework, this ITIL 4 certification provides both strategic and practical best practice guidance to help organisations understand the value of IT Asset Management and its key concepts and challenges. Professionals should be able to use these concepts to foster effective financial stewardship and governance, control costs, manage risks, monitor and ensure compliance. The guidance in this course will also support effective decision making on the purchase, re-use, retirement and disposal of IT assets and assess the sustainability of IT asset decommissioning and disposal.

  • 3 Days ILT, VILT

    Data Storytelling

    Data storytelling is a critical skill for conveying data-driven insights in a compelling and meaningful way. This three-day course, designed for beginners, focuses on teaching the art and science of data storytelling. Participants will learn how to structure, visualize, and present data to engage and inform their audience effectively.

  • 3 Days ILT, VILT

    Big Data Hadoop

    Hadoop is a foundational technology for processing and analyzing massive volumes of data. This three-day course, tailored for beginners, provides a comprehensive introduction to the core concepts of Big Data and Hadoop. Participants will gain an understanding of distributed storage and processing, Hadoop ecosystem components, and hands-on experience with Hadoop tools.

  • 4 Days ILT, VILT

    Deep Learning and Natural Language Processing

    Deep Learning and Natural Language Processing (NLP) have revolutionized the way we interact with and analyze text data. This four-day course, tailored for beginners, provides a comprehensive introduction to the foundations of deep learning and its application in NLP. Participants will gain a strong understanding of neural networks, language processing, and hands-on experience in building NLP models.

  • 3 Days ILT, VILT

    Machine Learning – Unsupervised Learning

    Unsupervised learning is a fascinating field of machine learning that discovers patterns, structures, and relationships within data without the need for labeled examples. This three-day course, designed for beginners, offers a comprehensive introduction to unsupervised learning techniques. Participants will gain a solid understanding of clustering, dimensionality reduction, and anomaly detection.

  • 2 Days ILT, VILT

    Machine Learning – Classification and Forecasting

    Machine learning is a powerful tool for classification and forecasting tasks, which are at the core of data-driven decision-making. This two day course, designed for beginners, provides a comprehensive introduction to classification and forecasting using machine learning algorithms. Participants will learn the fundamentals, practical application, and best practices in predictive modeling.

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