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The Microsoft Viva course is designed to equip learners with comprehensive knowledge and practical skills to implement and manage Microsoft Viva Topics within their organizations. This course focuses on leveraging artificial intelligence to organize company knowledge, automating tasks, and enhancing the employee experience. Through five modules, participants will delve into:
- Understanding the basics and AI integration of Viva Topics.
- Planning roles, automation strategies, and training for effective use.
- Preparing a rollout strategy to ensure a seamless adoption.
- Implementing Viva Topics with a focus on security, privacy, and testing pilots.
- Managing knowledge content effectively through the Topic Center.
By the end of this course, learners will be proficient in setting up, administering, and maximizing the benefits of Microsoft Viva, enhancing knowledge discovery and sharing within their organization. This Microsoft Viva training is a critical investment for companies aiming to modernize their employee experience and knowledge management practices.
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4-Hour Sessions
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♱ Excluding VAT/GST
Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
To ensure that you can successfully undertake training in the Microsoft Viva course, the following minimum prerequisites are recommended:
Please note that these prerequisites are meant to provide a foundation for your learning experience. The course is designed to guide you through both the theoretical and practical aspects of Microsoft Viva Topics. Even if you're not fully experienced in all the areas mentioned, a keen interest in learning and a commitment to applying the concepts taught will enable you to benefit from the course.
The Microsoft Viva course equips IT professionals with the skills to implement and manage Viva Topics in their organizations.
Introduction: Gain proficiency in Microsoft Viva Topics to enhance knowledge discovery and management within your organization, ensuring effective implementation and user adoption.
Learning Objectives and Outcomes: