Use GenAI in Business Use Cases

Identify and implement simple Generative AI use cases in my field.
Operational
🧭 AI opportunity detection
🏗️ Design of integrated operational processes
📈 Analysis and improvement

Learning objectives:

Master prompt engineering techniques

🌐 Apply advanced prompt engineering techniques (e.g., step-by-step structuring, contextualization, feedback-based adjustments) to create reusable solutions tailored to specific professional use cases.

Develop business-oriented prompts

🛠️ Design prompts that leverage AI capabilities for specific tasks such as text analysis, data classification, or summarization, to meet concrete and measurable business needs.

Measure effectiveness and guide AI usage

📌 Analyze AI-generated results, identify at least two areas for improvement, and adjust prompts to maximize their relevance and impact in professional use cases.

Validation criteria:

Check
Validation through the application of three specific prompt engineering techniques (e.g., contextualization, structuring, feedback-based adjustment) across at least five distinct use cases.
Check
Creation and structuring of 10 distinct business use cases, each addressing a specific need and including tailored prompts that generate measurable and relevant results.

1️⃣ Validity of generated results: Prompts must produce measurable and relevant outcomes for each business use case, demonstrating the effectiveness of AI in each scenario.

2️⃣ Clarity and relevance of adjustments: Prompt adjustments must be justified and clearly reflected in the results obtained.