The course provides a comprehensive introduction to Generative AI and Prompt Engineering, equipping learners with the knowledge and skills to craft effective prompts that produce accurate, high-quality outputs across multiple domains. It is designed for professionals, students, and enthusiasts aiming to optimize AI interactions, enhance digital workflows, and leverage tools like GPT, ChatGPT, Bard, and IBM Watson.

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Generative AI: Prompt Engineering Basics

Dozent: Board Infinity
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(44 Bewertungen)
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Was Sie lernen werden
Master the fundamentals of Generative AI and prompt engineering for real-world applications in text, code, and automation.
Create effective prompts that generate accurate, context-aware, and high-quality AI responses across diverse domains.
Apply advanced prompting methods like zero-shot, few-shot, and chain-of-thought for optimized AI outputs.
Analyze and refine prompts using performance metrics while ensuring ethical and responsible AI usage.
Kompetenzen, die Sie erwerben
- Kategorie: Model Evaluation
- Kategorie: LLM Application
- Kategorie: Responsible AI
- Kategorie: Debugging
- Kategorie: Scripting
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In diesem Kurs gibt es 2 Module
This module introduces learners to the principles of Generative AI, the evolution of AI models, and the basics of prompt engineering. It covers practical use cases such as content creation, automation, and code generation. Learners will gain hands-on experience with crafting simple prompts, evaluating outputs, and applying effective strategies like zero-shot and few-shot learning.
Das ist alles enthalten
16 Videos2 Lektüren3 Aufgaben1 Diskussionsthema
This module delves into advanced prompt engineering techniques, equipping learners with the skills to craft precise, effective, and optimized prompts for AI interactions. Learners will explore techniques for refining prompts, structuring them for clarity, and iterating to improve AI-generated responses. The module also covers industry applications of prompt engineering, such as content creation, automation, multimedia generation, and coding. Additionally, learners will gain insights into evaluating AI performance, addressing ethical concerns, and understanding emerging trends in prompt engineering. By the end of this module, learners will have a deep understanding of how to optimize AI interactions across various domains.
Das ist alles enthalten
11 Videos1 Lektüre4 Aufgaben
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Bewertungen von Lernenden
44 Bewertungen
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Geprüft am 14. Okt. 2025
already have made improvement toward my goals just from this course and would highly suggest if you're feeling behind the times.
Geprüft am 22. Aug. 2025
Clear and practical introduction to prompt engineering. The examples are easy to follow and relevant for real-world applications. Great for professionals exploring generative AI.
Geprüft am 6. Juli 2025
Excellent Content. Easy to understand and well presented.
Häufig gestellte Fragen
Prompt engineering is the practice of designing and refining inputs to AI models like GPT or ChatGPT to generate accurate, context-specific, and reliable outputs. This course provides practical training on using prompt engineering across text, code, marketing, and automation tasks.
Learning prompt engineering helps professionals, developers, and students harness AI tools effectively. By mastering prompts, you can improve AI accuracy, reduce errors, and create optimized workflows in software development, content creation, and business processes.
You will learn how to design prompts for multiple domains, apply advanced techniques like zero-shot and chain-of-thought prompting, evaluate outputs with performance metrics, and integrate ethical considerations in AI-powered solutions.
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