Skilled Prompt Engineering Specialist

Course Length: 16 hours.

Master the art of designing effective prompts for high-quality AI results.

This course develops the practical skills required to design precise, structured, and effective prompts for generative AI models. Participants learn how to activate advanced AI reasoning modes, simulate roles, refine outputs, and generate traceable business deliverables. Through hands-on labs using specialized AI software, learners apply prompting techniques to real-world scenarios including consulting, auditing, analysis, and compliance.

Audience

AI project leaders and solution architects
AI consultants
Cloud and data architects
Data analysts and data scientists
Auditors and compliance specialists
Professionals adopting AI in business processes

Objectives

By the end of the course, you will be able to:

Understand what a prompt is and why it matters
Design effective prompts using key structures and components
Activate advanced AI reasoning modes ( "Act as", "Think step by step" y "Deep Reasoning")
Iterate prompts to improve output quality
Apply prompting across business, audit, and analytical scenarios
Incorporate ethical and governance principles into prompts
Produce traceable deliverables through strategic prompting
Use complementary tools to support prompt creation

Course Content

What is a prompt and why does it matter?
Evolution of prompting in generative models
Impact on productivity and accuracy
Discussion of the most commonly used prompts in organizations

Informational, instructional, creative, and analytical prompts
Key components of an effective prompt
Modular and adaptable design

Exercise: Creating effective prompts

Deep reasoning
Think step by step
Act as…
Use of reserved words and special commands

Exercise: Using advanced triggers

Results evaluation
Parameter and approach tuning
Continuous improvement techniques

Exercise: Refining an image or text

Prompting in consulting, auditing, and data analysis
Role and critical process simulation
Generating traceable deliverables using M365 tools

Ethical principles in AI interaction
Risks and best practices
Traceability and legitimacy of results

Exercises: Applying ethical best practices in prompts

Building prompts for real cases
Simulating business scenarios using prompts

Platforms and assistants for prompt design
Example of integration with Microsoft environments and Copilot
Resources for continuous adoption

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