Home Programmes AI Agents and Automation Training in UAE: Build Working Workflows
A build focused lab for operations, IT and business teams who want to move from chatting with AI to agents and automated workflows that handle real, repeatable work, with the right human checks in place.
2 or 3 days
In house, on site or online lab
6 to 16 people
English, Arabic or both
AI Agents and Automation Training in UAE is for teams ready to go beyond asking an assistant questions. An agent can read an incoming request, look up information in your systems, draft a response or update a record, and pass it to a person for approval. Done well, that removes hours of copying and checking every week.
Done badly, it creates a fragile process nobody understands. So the programme starts with process selection. Participants map a real workflow, such as invoice queries, supplier onboarding or HR requests, and decide which steps suit AI, which suit simple rules and which must stay with a person. Then they build. Depending on your stack, that might be Copilot Studio and Power Automate, custom GPTs with actions, Claude with connected tools, or a workflow platform such as Make or n8n.
Every build includes logging, error handling and a human approval step for anything that touches customers, money or personal data. By the end, each team has a working prototype and a plan to take it to production with IT. Time saved per case is agreed upfront and reviewed at 90 days.
What an AI agent is, how it differs from rule based automation, and how to choose the simplest approach that will do the job reliably.
Scoring candidate workflows on volume, rules, data quality and risk, so the first build targets a process where success can be measured quickly.
Writing clear instructions, defining tools and data sources, setting boundaries on what the agent may do, and planning the human approval points.
Hands on building with the tools your organisation uses, such as Copilot Studio, Power Automate, Make or n8n, connected to sample data.
Building test cases, handling failures gracefully, logging every action and setting alerts so problems surface before customers or auditors notice them.
Security review, data protection checks, ownership, documentation and the hand over to IT so a promising prototype does not become an unsupported risk.
A typical brief comes from a shared services head whose team answers hundreds of similar supplier emails each week. Before the lab, IT sets up a sandbox with sample emails and a copy of the supplier list. Over two days the team builds an agent that sorts emails, checks status in the list and drafts replies for a person to approve.
The prototype goes through IT review in the following weeks and goes live on one mailbox first. At 90 days we compare handling time per email with the baseline, which shows whether AI agents and automation training in UAE has paid back for that process.
No coding is required for most builds, because platforms such as Copilot Studio, Power Automate, Make and n8n are largely visual. Comfort with spreadsheets and logical thinking helps. If technical staff attend, they can go further with custom connectors or APIs during practice time while others focus on design and testing.
We build on whatever your organisation uses or is evaluating. Common choices are Microsoft Copilot Studio with Power Automate, custom GPTs with actions, Claude connected to tools, and workflow platforms like Make or n8n. We confirm the platform during scoping so the sandbox is ready on day one.
We build in a sandbox with sample or anonymised data, never live customer or personal data. The programme covers permissions, logging, human approval steps and data protection obligations, so prototypes are designed with controls from the start rather than added later.
Two days is enough for one working prototype per team. Three days allows a second iteration, deeper testing with edge cases and a stronger production plan agreed with IT. Online delivery is usually split into four or five shorter sessions, with build work completed between them.
Yes. The lab runs in English, Arabic or a bilingual mix. Teams that receive Arabic requests practise building agents that read and draft in Arabic, and learn how to test Arabic outputs for accuracy and tone before anything reaches a customer or supplier.
Number of days, team size, the platform, sandbox preparation, delivery language and travel outside Dubai. Labs that need a custom environment or extra technical facilitators take more preparation. After a short scoping call you receive a written proposal within 24 to 48 hours.
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