03 Advanced Prompt Engineering for Non-technical audience

Advanced prompting techniques applied to leadership work —strategic decisions, stakeholder analysis, and high-stakes written output. Same rigour as the Developers course, different context.

Applied    Applied Workshop

What you´ll learn

  • Self-Ask decomposition: break a complex strategic question into ordered sub-questions, answer each in sequence, and build toward a recommendation the model cannot shortcut in a single response

  • Multi-perspective prompting: instruct the model to argue from multiple named stakeholder positions —CTO, CFO, customer —then synthesise a balanced recommendation with explicit trade-offs

  • Plan & Refine: separate planning from generation —outline structure first, generate section by section, then target specific weak sections for revision rather than regenerating everything

  • Reflexion with explicit rubrics: define the review criteria inside the prompt so self-critique is specific and actionable, not generic agreement with the first draft

  • Meta-prompting: use the model to design, critique, and improve the prompts themselves —building reusable prompt templates your team can standardize and version

 

Pick the path that matches your team – Read more

Target audience

Engineering Managers, Product Managers, Tech Leads

Prerequisites

Prompt Engineering Essentials

 

About Mohammad Yassin

I bring more than 15 years of experience from the IT industry, combining deep technical expertise, strong business acumen, and a proven ability to teach, train, and inspire teams. I`m both a technical architect, AI trainer, and commercial business builder, with a background in software engineering, IT architecture, and AI, as well as leadership roles as Head of Software Engineering & Technology and Head of Business Development. For many years, I have designed and delivered courses, workshops, and learning programs for both technical and non-technical audiences, translating complex technology into clear, practical, and actionable knowledge. Alongside this, I have hands-on experience building, selling, recruiting, and scaling successful business units, which gives me a strong understanding of both the technology and the commercial realities around it. My strength is helping organisations turn AI from an abstract opportunity into real capability, confident adoption, and measurable business impact.

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