Model Online / On-Site
Duration
Modules 6 modules

Course Objective & Scope

Using enterprise AI tools merely as a search bar or basic email drafter leaves most productivity gains on the table. This multi-module academy turns non-technical business professionals and managers into confident, critical power users: covering how LLMs work and where they fail, structured prompt and context engineering, multi-document synthesis, spreadsheet and data analysis, building reusable custom assistants (Custom GPTs, Copilot agents, Gems) and rigorous output verification.

Through inter-module assignments on their own departmental tasks, participants build a validated workflow prototype and a reusable prompt and assistant playbook for their team.

Who Should Attend?

  • Sales, marketing, finance, HR, procurement, operations and customer service professionals
  • Business unit managers and specialists driving workflow productivity
  • Employees selected to serve as internal AI Champions across business functions
  • No coding background required; labs are tailored to the organisation's approved AI toolset

Key Takeaways

  • Write reliable prompts using role, rich context, constraints, few-shot examples and structured output formats
  • Synthesise, cross-check and interrogate lengthy reports, policies and meeting transcripts with source grounding
  • Clean tabular data, explore trends and generate executive-ready summaries without writing code
  • Build reusable custom assistants and prompt templates anchored in departmental standards
  • Apply a strict human-in-the-loop checklist for hallucinations, bias and corporate data privacy

Curriculum

Generative AI Foundations, Capability Boundaries and Safe Use
  • How LLMs, multimodal models and reasoning models work under the hood
  • Spotting hallucinations, sycophancy and adhering to corporate data privacy rules
Advanced Prompt and Context Engineering
  • Task decomposition, few-shot prompting and structured reasoning chains
  • Feeding reference documents, style guides and evaluation rubrics into the context window
Deep Research, Document Synthesis and Business Writing
  • Cross-checking multi-document packs, RFPs and policy documents with citations
  • Drafting decision memos, executive briefs and stakeholder-tailored communications
AI-Assisted Data Analysis and Structured Problem Solving
  • Exploring spreadsheet data, surfacing trends/anomalies and running what-if scenarios
  • Using AI as a sparring partner for root-cause analysis, pre-mortems and decision matrices
Custom Assistants and Reusable Team Workflows
  • Configuring custom assistants (Copilot agents, Custom GPTs, Claude Projects) for recurring tasks
  • Verification checklists and standards for sharing prompt templates across the team
Applied Workflow Project and Review Clinic
  • Demonstrating a redesigned departmental workflow on a real business case
  • Measuring time and quality impact and packaging the asset for team-wide reuse

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