Artificial Intelligence

AI Strategy and Digital Adoption

Designed for busy professionals, AI Strategy and Digital Adoption delivers practical, immediately usable skills in artificial intelligence.

3 daysClassroomOnline
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Overview

AI Strategy and Digital Adoption is a practical, practitioner led programme built for professionals who need to strengthen their capability in artificial intelligence. The course blends proven frameworks with real world examples drawn from across digital transformation & innovation, giving delegates a structured way to approach the challenges they meet in their own organisations.

Delegates leave with practical tools, templates and an action plan they can apply as soon as they return to work, along with a stronger network of peers facing similar challenges in artificial intelligence.

Course objectives

  • Evaluate current approaches to artificial intelligence and identify areas for improvement.
  • Design practical plans that put artificial intelligence frameworks into action.
  • Coordinate cross functional efforts that depend on strong artificial intelligence.
  • Lead initiatives that strengthen artificial intelligence across a team or organisation.
  • Analyse case studies to draw out lessons relevant to artificial intelligence.
  • Review emerging trends shaping the future of artificial intelligence.

Who should attend

  • Professionals transitioning into artificial intelligence focused roles
  • Consultants and advisors specialising in artificial intelligence
  • Department heads overseeing artificial intelligence functions
  • Officers and coordinators working directly in artificial intelligence
  • Cross functional team members collaborating on artificial intelligence projects
  • Senior executives shaping organisational strategy around artificial intelligence

Course outline

Module 1: Foundations of Artificial Intelligence

  • Discuss current trends and the future direction of artificial intelligence
  • Review recent research and thought leadership shaping artificial intelligence
  • Identify early warning signs of common project or process failures
  • Explore the regulatory and compliance landscape relevant to artificial intelligence
  • Walk through a step by step implementation checklist

Module 2: Technology and Innovation in Artificial Intelligence

  • Role play a difficult conversation relevant to artificial intelligence
  • Test assumptions through a structured risk assessment exercise
  • Evaluate the strengths and weaknesses of common artificial intelligence models

Module 3: Planning and Implementation

  • Consider the ethical dimensions of decisions made in artificial intelligence
  • Apply frameworks to a live workplace scenario
  • Benchmark current practice against recognised industry standards

Module 4: Risk, Governance and Compliance

  • Receive facilitator feedback on individual and group work
  • Build a personal action plan for immediate use
  • Review key concepts and terminology used in artificial intelligence
  • Translate strategic goals into a practical implementation timeline
  • Consider how technology is reshaping artificial intelligence in practice

Module 5: Data, Metrics and Performance Measurement

  • Capture lessons learned and share them with the wider group
  • Map out a communication plan for engaging key stakeholders
  • Review a checklist of quick wins to apply immediately after the course

Module 6: Tools and Techniques for Artificial Intelligence

  • Draft a short brief communicating artificial intelligence priorities to senior leadership
  • Analyse a real organisational setback and extract the lessons learned
  • Break into syndicate groups to work through a realistic case study

Module 7: Action Planning and Implementation

  • Practice giving and receiving structured peer feedback
  • Debate the merits of competing approaches in an open forum
  • Prioritise competing demands using a simple decision framework
  • Work through practical exercises and small group discussion

Training methodology

  • Facilitated by practitioners with direct industry experience in the subject area.
  • Concludes with individual action planning to embed learning back at work.
  • Encourages active participation through scenario based problem solving.
  • Delivered through a blend of expert facilitation, structured input and interactive discussion.

Accreditation

Delegates who complete AI Strategy and Digital Adoption 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.

Live OnlineNext
1 Sept 2026 to 3 Sept 2026
USD 1,650Register
Johannesburg
2 Sept 2026 to 4 Sept 2026
USD 2,290Register
Harare
20 Sept 2026 to 22 Sept 2026
USD 2,090Register
Johannesburg
24 Oct 2026 to 26 Oct 2026
USD 1,955Register
Victoria Falls
10 Jul 2027 to 12 Jul 2027
USD 2,548Register
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AI Strategy and Digital Adoption

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