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Building a Personal Productivity System with AI

As workloads grow more complex, traditional to-do lists often fail to provide clarity and continuity. This course introduces an integrated productivity system that combines goal definition, task tracking, and AI-assisted planning within a unified digital workspace. Participants learn how to structure their work around clear outcomes and use artificial intelligence to decompose objectives into manageable actions.

Designed for early-career professionals, freelancers, students, and team leads, the course emphasises practical application. By the end of the training, participants will have created a reusable productivity system that supports individual work, collaboration, and continuous improvement across a range of personal and professional projects.

Content
  • Defining goals and success criteria
  • Decomposing objectives into milestones and tasks using AI
  • Task prioritisation and workload management
  • Building Kanban boards and live dashboards
  • Setting up reminders and workflow automations
  • Daily check-ins and weekly review routines
  • Sharing progress updates and status dashboards
  • Conducting retrospectives and system improvement cycles
Learning Outcomes

At the end of the training, learners will be able to:

  • Design an adaptive productivity workflow integrating goals, tasks, and AI support.
  • Translate high-level objectives into actionable and measurable tasks.
  • Prioritise and manage multiple projects within a single digital workspace.
  • Generate automated progress reports and task alerts.
  • Deploy a ready-to-use, AI-enabled productivity system.


Training Method

The course is delivered through a combination of lectures, real-world examples, guided practical exercises, group work, and case studies, enabling participants to apply concepts directly while building their own productivity system.

Certification
Certificate of Participation
Prerequisites

No Prerequisites.


Planning and location
Session 1
09/03/2026 - Monday
09:00 - 14:00
Session 2
10/03/2026 - Tuesday
09:00 - 14:00
Session 3
11/03/2026 - Wednesday
09:00 - 14:00
Session 4
16/03/2026 - Monday
09:00 - 14:00
Available Edition(s):

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80.00 € 80.0 EUR 80.00 €

80.00 €

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