Learn to identify worthwhile AI use cases, evaluate tools and vendors, manage governance, risk and data privacy, and lead your team through the practical adoption of AI in daily work.
The AI Tools for Managers course in Doha, Qatar is designed for leaders who need to make sound decisions about artificial intelligence without becoming technical specialists. It explains what today's AI tools can and cannot do, where they create real value in a department, and how to judge vendor claims. Examples draw on widely used assistants such as Microsoft Copilot, ChatGPT and Google Gemini, as well as AI features now built into business software.
The approach is practical and discussion-based. Managers map processes in their own area to spot promising use cases, score them for value and risk, and work through case studies on governance, data privacy and change management. They leave with a short adoption plan, a checklist for evaluating tools and a clear view of the policies their team needs. The course can be delivered as an in-house program so a management team can align on one shared approach.
By the end of this course, participants will be able to:
Identify AI use cases in your function that offer measurable business value
Evaluate AI tools and vendors on capability, cost, security and integration
Assess risks including inaccuracy, bias, data leakage and over-reliance
Set practical team guidelines for responsible AI use and data privacy
Plan a pilot with success measures, owners and review points
Lead staff through AI adoption by addressing skills, concerns and new ways of working
This course is intended for people who manage teams, budgets or processes and must decide how AI should be used in their area.
Department heads and middle managers
Senior supervisors and team leaders
Operations and business improvement managers
IT and digital transformation leads working with business units
Risk, compliance and governance managers
Project and program managers planning AI initiatives
Generative AI, predictive analytics and automation explained simply
AI assistants built into office and business software
Realistic expectations and common misconceptions
Examples of AI in finance, HR, operations and customer service
Mapping team processes to find repetitive, information-heavy work
Scoring use cases for value, feasibility and risk
Build, buy or use existing licensed tools
Writing a short business case for an AI pilot
Key questions on data storage, retention and model training
Security, access control and integration requirements
Running a structured trial with real tasks
Total cost, licensing and support considerations
Acceptable use policies and human review requirements
Handling personal, confidential and classified information
Bias, accountability and transparency with stakeholders
Monitoring quality and keeping an AI use register
Communicating purpose and addressing job security concerns
Building skills through training and peer champions
Redesigning roles and workflows around AI support
Measuring results and scaling successful pilots
Qatar's national digital agenda and Qatar National Vision 2030 encourage public and private organizations to adopt advanced technology while building local talent. Managers in sectors such as energy, banking, logistics, healthcare and government services are now expected to judge where AI fits, protect sensitive data and keep their teams engaged through change. Leaders who understand both the opportunity and the risks can turn AI investment into dependable, well-governed improvements in service and efficiency.
Join a scheduled class at our training center in Doha or attend live online. For organizations, the course can run as an in-house program at your premises or online, tailored to your sector, examples and schedule.
It is a management-focused course in Doha that helps leaders choose valuable AI use cases, evaluate tools and vendors, set governance and data privacy rules, and guide their teams through adopting AI responsibly and effectively.
Department heads, middle managers, team leaders and project managers who influence how work is done in their area, along with risk and IT leads who support business units in deciding where and how AI should be used.
No. The course explains AI concepts in business language and focuses on decisions, risk and people. Familiarity with everyday office software is enough, and short demonstrations show what common AI tools actually do in practice.
Yes. It can be delivered at your premises or online and tailored to your sector, policies, examples and schedule, which works well for aligning a whole management team. Contact Leaders Training Center to plan it.
Tell us a little about yourself and an advisor will contact you about batch timings, fees and eligibility. No obligation.
Sat–Thu: 09:00–22:00Fri: 08:00–22:00
Learn to use generative AI assistants to draft documents, summarize meetings and reports, work faster in spreadsheets and build presentations, while checking outputs and protecting sensitive information.
Learn to write clear, structured prompts that get accurate, usable results from AI assistants, refine them through iteration, build reusable templates and check outputs before using them at work.
Learn to automate repetitive business tasks without coding by designing workflows with triggers, actions, approvals and forms in tools such as Microsoft Power Automate, Zapier and Make.
Understand the core building blocks of digital transformation, from strategy and process redesign to cloud, data and change management, and learn how to plan initiatives and measure the value they deliver.
