Ruben Hassid – How to Prompt ChatGPT in 2024

Ruben Hassid – How to Prompt ChatGPT in 2024 gives you a clear, modern framework to craft prompts that deliver consistent, high-quality outputs from ChatGPT. In practical, plain English, you learn how to structure role, context, constraints, and examples so the model thinks better, writes cleaner, and follows your intent across marketing, writing, product, and research tasks.

What is “Ruben Hassid – How to Prompt ChatGPT in 2024” about?

This course distills today’s prompt engineering into a simple, repeatable system. You move from ad-hoc prompting to a process: define the job to be done, set the thinking mode, inject credible context, and validate results with quick self-checks. You also learn when to use zero-shot vs. few-shot strategies, how to guide multi-step reasoning, and how to turn one-off prompts into reusable building blocks for your daily workflow.

What will you learn?

• Core prompting principles: role, audience, constraints, evaluation, and iterative refinement.
• Zero-shot vs. few-shot prompting—when to use each and how to write compact, high-signal examples.
• Reasoning patterns (e.g., step-by-step scaffolds) to reduce hallucinations and improve factuality.
• Meta prompting: templates that tell the model how to think before it writes.
• Multimodal prompting basics (text + files/images where applicable) to enrich context and outputs.
• Quality control: checklists to test accuracy, tone, bias, and source alignment before publishing.
• Prompt ops: organize a lightweight prompt library and version changes for team reuse.

Who is it for?

Creators, marketers, founders, analysts, and knowledge workers who want reliable, production-ready prompts, not tricks. If you need content that reads human, workflows that save hours, and outputs you can defend, this program is for you.

How does it work?

Training is delivered online through structured video lessons and practical exercises you can follow at your own pace. The approach is tool-agnostic and focused on outcomes: write a brief, design a prompt, run quick tests, and capture the best version for reuse. Content is in English and accessible from any timezone.

Benefits

• Clarity: a proven structure for prompts that reduces guesswork.
• Speed: prompt templates that compress research, outlining, and drafting time.
• Quality: reasoning cues that improve coherence, relevance, and factual grounding.
• Reusability: turn single prompts into a library you can adapt across projects.
• Team-ready: guidelines that make prompts shareable and easy to maintain.

About the author

Ruben Hassid is an AI educator and content creator known for practical, no-fluff prompt systems. He is a recognized speaker at industry events—including the BtoB Summit Paris and LinkedSummit Denmark—and publishes the “How to AI” newsletter for hands-on AI workflows.

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