Understanding and Using Automation
Corporate Training Courses Company

Understanding and Using Automation

Course schedule

Classroom Training:
DateVenueDurationPrice
25 - 29 May 2026London5 days£4,995
3 - 7 Aug 2026London5 days£4,995
19 - 23 Oct 2026London5 days£4,995
1 - 5 Jun 2026Paris5 days£4,995
29 Jun - 3 Jul 2026New York5 days£4,995
27 - 31 Jul 2026Singapore5 days£4,995
24 - 28 Aug 2026Barcelona5 days£4,995
28 Sep - 2 Oct 2026Paris5 days£4,995
26 - 30 Oct 2026New York5 days£4,995

Please note: prices shown above are exclusive of VAT (20%).

If you don’t see your preferred course date, please contact us.
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Course Overview

Delegates gain a practical introduction to AI technologies used in modern workplaces. The course covers automation tools, chatbots, and data-driven systems. Participants learn to collaborate effectively with AI-enabled processes. The programme equips employees to work confidently alongside intelligent technologies.

Who Should Attend

Professionals aiming to gain practical knowledge of AI concepts, tools, and strategic implementation. Past delegates have included:

  • Managers
  • Analysts
  • Consultants
  • IT Specialists
  • Project Leaders

Course Outcomes

  • Explain the principles and technologies underpinning intelligent automation.
  • Identify business processes suitable for automation using AI and RPA tools.
  • Implement workflow automation for cost and efficiency improvements.
  • Evaluate the impact of automation on workforce planning and skill development.
  • Monitor, maintain, and optimise automated systems for continuous improvement.

Course Topics

Process Mapping for Automation

  • Analyse workflows to identify automation opportunities.
  • Map processes for AI and RPA integration within operations.
  • Create business cases for automation-led efficiency improvements.
  • Set KPIs and benchmarks to monitor automation outcomes.

Implementing Intelligent Automation

  • Integrate machine learning tools into existing RPA frameworks.
  • Align automation strategies with enterprise performance goals.
  • Train teams to manage AI-enabled automated processes.
  • Review governance and oversight standards for automation.

AI Applications Across Business Functions

  • Identify applications of AI across finance, HR, and operations.
  • Explore cross-functional efficiencies through AI systems.
  • Assess integration challenges in multi-departmental AI initiatives.
  • Develop strategies for scaling AI across enterprise functions.

Data-Driven Decision-Making with AI

  • Use AI-powered analytics for faster, informed decision-making.
  • Apply machine learning models for predictive and diagnostic purposes.
  • Enhance visualisation and performance tracking through AI dashboards.
  • Implement frameworks for continuous AI-driven improvement.

Ethical AI and Responsible Innovation

  • Understand the global standards for ethical AI innovation.
  • Apply fairness and inclusion principles in AI design.
  • Evaluate governance frameworks supporting responsible AI use.
  • Promote transparent and sustainable AI innovation practices.

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