The Art of Asking Questions: Mastering Prompt Engineering

El precio original era: 140,00 €.El precio actual es: 87,00 €.

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Do you feel like you're not making the most of tools like ChatGPT either GeminiAre your results often generic and not very useful? The key to unlocking their true potential isn't in AI, but in you: in knowing. how to ā€œtalk to himā€. And that's exactly what you'll master in this course.

We will guide you, step by step, from the fundamentals to the most advanced techniques of Prompt Engineering. You will learn to give precise instructions, to provide the appropriate context already define the tone and format So that AI stops being a toy and becomes your most powerful personal assistant. Get ready to transform your ideas into spectacular results, Optimize your daily tasks and boost your creativity like never before. This isn't just a course on how to use AI; it's a course on how to master it.

šŸ“˜ See Teaching Guide

By the end of the program, you will have developed key skills to master the prompt engineering and get the most out of models like ChatGPT, Gemini and Claude.

  • Designing effective promptsYou will learn to build clear, effective, safe, and ethical prompts to maximize accuracy and relevance.
  • Advanced communication with LLMsYou will develop skills to strategically engage in dialogue with large language models (LLMs) such as ChatGPT, Gemini, and Claude to achieve optimal results.
  • LLM FundamentalsYou will understand the conceptual workings of language models.
  • Key components of the promptYou will identify and apply elements such as role, context, and output format.
  • Prompt optimization- You will master techniques such as zero-shot, few-shot and chain-of-thought to refine results.
  • Application and ethicsYou will apply prompting in practical tasks, recognize limitations and good ethical practices, with a focus on privacy, biases and responsibility.

Try the course before you buy

Program structure: 6 practical modules (24 hours).

Module 1 – Fundamentals and theory (Generative AI)

  • Understanding LLMs: capabilities and limitations
  • The prompt: key instruction
  • Getting Started with ChatGPT/Gemini

Module 2 – Anatomy of an Effective Prompt

  • Clarity, specificity, and objective
  • Context and role of AI
  • Output format and length
  • Action verbs: impact on the task

Module 3 – Essential Techniques

  • Zero-shot vs. Few-shot
  • Chain-of-Thought (CoT)
  • Tone and style control
  • Restrictions (Negative Prompting)

Module 4 – Advanced Strategies

  • Iterative improvement cycle
  • Problem Diagnosis
  • Combination of techniques

Module 5 – Applications and use cases

  • Productivity: Optimize emails, reports, and presentations
  • Content: ideas for blogs, scripts, and social media
  • Education: explanations, questions and summaries
  • Development: assistance in code generation and explanation
  • Entrepreneurship: FAQs, descriptions, and marketing

Module 6 – Ethics and the future of prompting

  • Privacy and security: Protect sensitive data; do not share confidential information in your prompts.
  • Biases and responsibility: validate the information generated and assume your responsibility
  • Future trends: current limitations and upcoming innovations

Who is it for?

This course is designed for professionals and enthusiasts who want to master the art of Prompt Engineering and apply AI effectively in their field.

  • Professionals: improve productivity, automate repetitive tasks and optimize decision-making with AI.
  • Content creators: generate ideas, write persuasive texts, develop scripts and produce high-quality original content.
  • EntrepreneursIdentify opportunities, personalize customer experience, and scale operations with AI.
  • AI Enthusiasts: understand practical applications and acquire skills to interact with advanced models.
  • No prior programming knowledge or experience is required..

Methodology, evaluation and requirements

Methodology

  • Clear presentations: demonstrations and guided explanations.
  • Practical exercises: individual activities to reinforce understanding.
  • Multimedia resources: videos and additional material in each lesson.
  • Modular and flexible route: designed for active learning.
  • Differentiating factors: practical approach (quality exercises and rubrics), modular and flexible, applicable results (transferable to daily work).

Assessment

  • Continuous assessment with exams at the end of each module.
  • Multiple-choice exams by module and final exam of the program.

Requirements

  • Access to an LLM (ChatGPT / Gemini / Claude)
  • Stable browser and connection
  • Optional case studies

What is prompt engineering and what is it used for?

The program focuses on the fundamental skills for designing effective prompts and communicating strategically with LLMs to achieve optimal results in different contexts.

Do I need prior knowledge or programming skills?

No. The course is accessible to everyone and requires no programming experience.

What models/tools will I be working with?

The course mentions LLMs such as ChatGPT, Gemini, and Claude.

What prompting techniques will I learn (zero-shot, few-shot, chain-of-thought…)?

Essential techniques such as zero-shot vs few-shot, chain-of-thought, tone/style control and restrictions (negative prompting) are covered, in addition to advanced iterative improvement strategies.

How is the course evaluated?

It includes multiple-choice exams per module and a final exam for the program.

Does the course include ethics, privacy, and bias?

Yes: it deals with privacy and security, bias and accountability, and future trends in module 6.

In what use cases will I apply prompting?

Applications are being considered in productivity, content, education, development, and entrepreneurship.
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