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Professional Prompt Engineering

Master AI communication for smarter, faster and more responsible professional work.

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Length
15 days
Planned hours
45 hours
Delivery
On campus, or blended where the approved programme permits.
Next start
To be confirmed

Overview

An applied programme for professionals. Learn transferable prompting, document and data workflows, multimodal creation, role-specific productivity, verification, privacy and reusable prompt-system design.

TechnoBerg Professional Training in Prompt Engineering helps professionals translate real work requirements into clear AI instructions, provide useful context and sources, control output, evaluate quality, protect information and build reusable workflows. It teaches transferable principles across selected AI assistants, workplace copilots, research tools, coding assistants and creative platforms, not a collection of “magic prompts” or a single-platform demonstration.

Who should join, and what to bring.

Who should join

  • Business owners, executives, managers, administrators and project teams.
  • Sales, marketing, customer success, HR, finance, procurement and analysts.
  • Educators, researchers, engineers, architects, IT, software and cybersecurity professionals.
  • Healthcare, legal and compliance professionals using approved non-diagnostic and non-advisory support workflows.
  • Creative professionals, government and institutional staff, consultants and freelancers.

Recommended before you start

  • Basic digital literacy and a current professional use case.
  • Access to approved platforms and accounts as confirmed for the batch.
  • No coding required for the general pathway; technical exercises require relevant background.
  • Willingness to practise, verify, document and improve outputs.

By the end, you will be able to:

  • Explain how prompt quality, context and tool selection affect output.
  • Write clear prompts with objectives, sources, constraints and output criteria.
  • Select an appropriate approved tool for a professional task.
  • Use iteration, critique and rubrics to improve responses.
  • Work responsibly with approved text, documents, data, images, code and voice inputs.
  • Detect unsupported claims, hallucinations, calculation and citation risks and missing information.
  • Protect confidential information and apply responsible-use boundaries.
  • Create reusable role-based templates and prompt workflows.
  • Evaluate prompt performance against defined success criteria.
  • Demonstrate a complete AI-assisted task while retaining human accountability.
  1. Objective: required result or decision support.
  2. Role: relevant perspective without false authority.
  3. Context: background, audience, data and situation.
  4. Task and source: action plus approved grounding material.
  5. Constraints and output: boundaries, language, tone, structure and length.
  6. Quality criteria, verification and iteration: definition of success, human checks and improvement.

AI output is assistance, not automatic truth, professional advice, approval or accountability. Participants remain responsible for fact-checking, confidentiality, copyright, risk review and qualified human approval.

Ten modules, from first principles to a prompt system.

  1. Module 1: Generative AI and Prompting Foundations

    • Capabilities and limitations of generative AI
    • Prompts, context, multimodal input, variability and human oversight

  2. Module 2: Professional Prompt Architecture

    • Objective, role, context, task, sources, constraints, output and quality criteria
    • Task decomposition, tone, audience, language and success measures

  3. Module 3: Examples, Templates and Structured Outputs

    • Zero-shot and example-guided prompting
    • Tables, checklists, reports, JSON, variables and reusable prompt libraries

  4. Module 4: Iteration, Critique and Evaluation

    • Follow-up prompting, missing-information checks and comparison
    • Rubrics, failure analysis, prompt testing and version control

  5. Module 5: Documents, Data and Research

    • Approved files, extraction, comparison, spreadsheet and data prompting
    • Research planning, source quality, citation and calculation verification

  6. Module 6: Multimodal and Creative Prompting

    • Image understanding and generation: subject, composition, style and constraints
    • Video briefs, storyboards, brand control, rights and review

  7. Module 7: Profession-Specific Workflows

    • Role mapping for management, sales, marketing, HR, finance, education, engineering and IT
    • Reusable workflows, checklists, handoffs and tasks that must remain human-led

  8. Module 8: Privacy, Ethics and Responsible AI

    • Confidential data boundaries, hallucination, bias, copyright and safety
    • Human approval, audit trails and high-stakes professional limitations

  9. Module 9: Advanced Workflow Design

    • Prompt chaining, meta-prompting, team standards and evaluation cases
    • Introduction to approved agents, automation and custom assistants

  10. Module 10: Capstone and Professional Implementation

    • Design and test a genuine workplace prompt workflow
    • Before/after evidence, verification pack, prompt library and 30-day adoption plan

What you will work with, and what you will make.

Tools

  • ChatGPT
  • Gemini
  • Claude
  • Microsoft Copilot
  • Perplexity
  • Microsoft 365 Copilot
  • Gemini for Workspace
  • GitHub Copilot
  • Adobe Firefly

The final set of tools is confirmed for each batch.

Example projects

  • Rewrite vague prompts into professional instructions
  • Compare one task across selected platforms
  • Use an approved document or data source and verify the response
  • Develop a role-specific prompt template and high-risk verification checklist
  • Build a personal or departmental prompt library
  • Management: decision briefs, action plans, SOPs and risk registers
  • Sales and marketing: research, proposals, campaigns, follow-up and review
  • HR and finance: controlled drafts, analysis narratives, checklists and verified spreadsheet support
  • Education and research: lesson plans, rubrics, synthesis and source-validation workflows
  • Engineering and IT: requirements, troubleshooting, code, tests and technical documentation
  • Creative and media: briefs, image prompts, storyboards, captions and brand review

The capstone: what you hand in

  • Design and test a genuine workplace prompt workflow.
  • Before/after evidence, verification pack, prompt library and 30-day adoption plan.
  • Complete and present a workplace capstone plus 30-day adoption plan.

Assessed on the work you produce.

  • Guided practice20%Completed exercises and reflection
  • Prompt quality20%Clarity, context, constraints and usability
  • Verification and safety20%Source checks, risk awareness and human review
  • Prompt portfolio15%Reusable organised templates
  • Capstone25%Demonstrated workflow and implementation plan

How it is taught

  • Demonstration.
  • Guided practice.
  • Role-based labs.
  • Capstone.

Certificate wording and issuing details will follow the final TVTC approval. No accreditation is claimed before that approval.

Start dates and fees, on request.

Next start

To be announced

Enquire now and we will tell you the next start date and schedule.

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Fees

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From learning to a technology career.

Strong performance in labs, projects and capstones can lead to further opportunities with TechnoBerg. They are merit-based, subject to availability, legal eligibility and formal selection, and never guaranteed. See the talent pathway

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