Artificial Intelligence

Generative AI Tools for Workplace Productivity

Generative AI Tools for Workplace Productivity prepares delegates to apply current best practice in artificial intelligence with confidence.

5 daysClassroomOnline
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Overview

Generative AI Tools for Workplace Productivity has been developed to give participants a clear, structured grounding in artificial intelligence. Drawing on established frameworks and current industry practice, the programme helps delegates make sense of complex material and apply it with confidence.

Throughout the course, delegates test ideas against real organisational challenges, leaving with a practical action plan for improving artificial intelligence in their own workplace.

Course objectives

  • Design practical plans that put artificial intelligence frameworks into action.
  • Analyse case studies to draw out lessons relevant to artificial intelligence.
  • Formulate metrics and KPIs to track progress in artificial intelligence.
  • Strengthen stakeholder engagement and communication around artificial intelligence.
  • Develop the tools and templates needed to support artificial intelligence in practice.
  • Lead initiatives that strengthen artificial intelligence across a team or organisation.

Who should attend

  • Officers and coordinators working directly in artificial intelligence
  • Consultants and advisors specialising in artificial intelligence
  • Supervisors seeking to strengthen their artificial intelligence capability
  • Managers and team leaders responsible for artificial intelligence
  • Department heads overseeing artificial intelligence functions
  • Senior executives shaping organisational strategy around artificial intelligence

Course outline

Module 1: Foundations of Artificial Intelligence

  • Debate the merits of competing approaches in an open forum
  • Evaluate the strengths and weaknesses of common artificial intelligence models
  • Set measurable goals and success criteria for the weeks ahead

Module 2: Risk, Governance and Compliance

  • Close with a personal commitment to three specific actions
  • Review recent research and thought leadership shaping artificial intelligence
  • Review a checklist of quick wins to apply immediately after the course

Module 3: Tools and Techniques for Artificial Intelligence

  • Translate strategic goals into a practical implementation timeline
  • Discuss how artificial intelligence varies across different sectors and regions
  • Draft a short brief communicating artificial intelligence priorities to senior leadership
  • Build a personal action plan for immediate use

Module 4: Technology and Innovation in Artificial Intelligence

  • Consider how technology is reshaping artificial intelligence in practice
  • Explore the regulatory and compliance landscape relevant to artificial intelligence
  • Review sample templates and adapt them for your own organisation
  • Draft key performance indicators to monitor progress
  • Map out a communication plan for engaging key stakeholders

Module 5: Core Principles and Frameworks in Artificial Intelligence

  • Walk through a step by step implementation checklist
  • Receive facilitator feedback on individual and group work
  • Benchmark current practice against recognised industry standards

Module 6: Case Studies and Practical Application

  • Map stakeholder needs and expectations for artificial intelligence initiatives
  • Role play a difficult conversation relevant to artificial intelligence
  • Unpack a short reading and relate it back to daily practice
  • Test assumptions through a structured risk assessment exercise

Module 7: Action Planning and Implementation

  • Discuss current trends and the future direction of artificial intelligence
  • Apply frameworks to a live workplace scenario
  • Identify common pitfalls and how to avoid them
  • Assess the resourcing and budget implications of proposed changes

Training methodology

  • Reinforced with real world case studies drawn from relevant industries and regions.
  • Facilitated by practitioners with direct industry experience in the subject area.
  • Delivered through a blend of expert facilitation, structured input and interactive discussion.
  • Encourages active participation through scenario based problem solving.

Accreditation

Delegates who complete Generative AI Tools for Workplace Productivity receive a Klarheit Certificate of Completion, recognising the hours of training undertaken and the topics covered. Certificates are issued at the close of the programme and can be used to support continuing professional development records.

Schedule

Upcoming sessions

Choose the city, date and delivery mode that works best for you or your team.

Victoria FallsNext
4 Sept 2026 to 8 Sept 2026
USD 3,535Register
Harare
21 Oct 2026 to 25 Oct 2026
USD 3,060Register
Johannesburg
21 Jan 2027 to 25 Jan 2027
USD 3,369Register
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Generative AI Tools for Workplace Productivity

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