Prompt Engineering and AI Productivity Tools Course

Name: Prompt Engineering and AI Productivity Tools Course
Availability: InStock

Practical training for designing reliable prompts and governed AI workflows for documents, data, research, and daily business tasks.

At a glance

Duration: 5 days
Format: Classroom
Cities: London, Amsterdam, Abu Dhabi, Cape town, Dubai, Athens and more
Next session: 12 – 16 October 2026, London
Average fee: 5,800 €

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Prompt Engineering and AI Productivity Tools Course

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Overview

The Prompt Engineering and AI Productivity Tools Course is a five-day intermediate course for business professionals who leave with an AI Productivity Workflow Portfolio. It connects task framing, context, constraints, prompt patterns, document and spreadsheet workflows, research synthesis, output evaluation, hallucination and data-risk controls, reusable prompt libraries, and human review. Participants turn recurring knowledge work into tested prompt workflows. Agile Leaders Training Center delivers this course on prompt engineering and AI productivity tools.

Who Should Attend

Business professionals producing documents, analysis, and decisions
Analysts synthesizing information and preparing reports
Administrative teams coordinating records, meetings, and communications
Project teams developing plans, updates, and risk information
Marketing and people teams creating and reviewing workplace content

The course assumes participants perform knowledge-work tasks and leaves out programming, model training, system integration, and technical administration.

Departments and Industries

The course supports repeatable knowledge work across varied departments and sectors.

Finance and reporting teams in financial services
Human resources and administration in healthcare
Project and operations teams in manufacturing
Marketing and customer teams in retail
Policy and communications teams in public services

Learning Objectives

By the end of this course, participants will be able to:

Build prompts with clear tasks, context, and constraints
Use prompt patterns for recurring business work
Design document and spreadsheet workflows
Evaluate outputs against defined criteria
Apply hallucination and data-risk controls
Create an AI Productivity Workflow Portfolio

Course Agenda

Day 1: Task Framing and Prompt Structure

Task-Context-Constraint Prompt Canvas
Audience, Tone, and Purpose Specification
Input Evidence and Source Boundary Checklist
Output Format and Acceptance-Criteria Template
Prompt Revision and Failure-Diagnosis Log

Day 2: Prompt Patterns and Knowledge Work

Role and Responsibility Prompt Pattern
Example-Guided Output Pattern
Decomposition and Stepwise Task Map
Question-First Clarification Pattern
Reusable Prompt Component Library

Day 3: Documents, Data, and Research

Document Drafting and Review Workflow
Meeting Note and Action Extraction Template
Spreadsheet Analysis and Formula Assistance Workflow
Research Synthesis and Evidence Matrix
Comparison, Recommendation, and Decision Brief Prompt

Day 4: Quality, Safety, and Governance

Output Accuracy and Completeness Rubric
Hallucination Detection and Verification Checklist
Sensitive Data and Disclosure Risk Screen
Bias, Tone, and Representation Review
Human Approval and Version-Control Workflow

Day 5: AI Productivity Workflow Practice

Suggested Exercise: Prompt Specification Repair
Suggested Exercise: Document and Meeting Workflow Design
Suggested Exercise: Spreadsheet and Research Evidence Challenge
Suggested Exercise: Output Quality and Data-Risk Review
Capstone Exercise: AI Productivity Workflow Portfolio

Practical Exercises

The course includes suggested activities for applying prompt methods to workplace tasks.

Suggested activity: convert a vague management request into a tested prompt specification.
Suggested activity: design a healthcare meeting-to-actions workflow with human review.
Suggested activity: synthesize retail research into an evidence-based comparison.
Suggested activity: present an AI Productivity Workflow Portfolio.

FAQs

Who suits the Prompt Engineering and AI Productivity Tools Course?

Professionals who write, analyze, research, coordinate, or report suit the course; it assumes routine knowledge-work experience but no programming background.

How does prompt engineering differ from a general AI awareness course?

Prompt engineering develops repeatable methods for specifying tasks, supplying context, constraining outputs, testing results, and governing workflows rather than providing a broad introduction to AI concepts.

What makes a business prompt reliable?

A reliable business prompt defines the task, audience, context, evidence, constraints, output format, acceptance criteria, and review responsibility, then improves through testing.

How should AI-generated workplace outputs be checked?

AI-generated outputs should be checked against trusted evidence, completeness criteria, calculations, sensitive-data rules, bias and tone expectations, and accountable human approval.

What belongs in an AI productivity workflow?

An AI productivity workflow links inputs, prompt components, tools, review criteria, exception handling, data controls, owners, version history, and an approved final output.

Conclusion

Participants leave with an AI Productivity Workflow Portfolio containing tested prompts, quality criteria, controls, and human-review steps. The work product reduces trial-and-error and makes recurring AI-assisted tasks easier to review and improve. It gives teams a reusable basis for reliable document, analysis, research, and coordination workflows.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 21-40 of 76 events

Location	Dates	Duration	Mode	Price
Vienna	Week 03, 2027 18 – 22 January 2027	5 Days	Onsite	€5,700
Milan	Week 04, 2027 25 – 29 January 2027	5 Days	Onsite	€5,700
Tokyo	Week 05, 2027 1 – 5 February 2027	5 Days	Onsite	€10,000
Singapore	Week 05, 2027 1 – 5 February 2027	5 Days	Onsite	€5,700
San Diego	Week 06, 2027 8 – 12 February 2027	5 Days	Onsite	€14,000
Baku	Week 07, 2027 15 – 19 February 2027	5 Days	Onsite	€5,000
Berlin	Week 07, 2027 15 – 19 February 2027	5 Days	Onsite	€5,700
Madrid	Week 08, 2027 22 – 26 February 2027	5 Days	Onsite	€5,700
Toronto	Week 08, 2027 28 February – 4 March 2027	5 Days	Onsite	€12,000
Dubai	Week 09, 2027 1 – 5 March 2027	5 Days	Onsite	€4,500
Amsterdam	Week 09, 2027 1 – 5 March 2027	5 Days	Onsite	€5,700
Barcelona	Week 10, 2027 8 – 12 March 2027	5 Days	Onsite	€5,700
Paris	Week 11, 2027 15 – 19 March 2027	5 Days	Onsite	€5,700
Manama	Week 11, 2027 21 – 25 March 2027	5 Days	Onsite	€4,700
Istanbul	Week 13, 2027 29 March – 2 April 2027	5 Days	Onsite	€4,500
Bangkok	Week 13, 2027 4 – 8 April 2027	5 Days	Onsite	€6,000
London	Week 15, 2027 12 – 16 April 2027	5 Days	Onsite	€5,700
Frankfurt	Week 15, 2027 12 – 16 April 2027	5 Days	Onsite	€5,700
Sharm El-Sheikh	Week 16, 2027 19 – 23 April 2027	5 Days	Onsite	€4,100
Prague	Week 17, 2027 26 – 30 April 2027	5 Days	Onsite	€6,000

Frequently asked questions

What does this course cover?

OverviewThe Prompt Engineering and AI Productivity Tools Course is a five-day intermediate course for business professionals who leave with an AI Productivity Workflow Portfolio. It connects task framing, context, constraints, prompt patterns, document and spreadsheet workflows, research synthesis, output evaluation, hallucination and data-risk controls,…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Prompt Engineering and AI Productivity Tools Course