Udemy - 2 Week Prompt Engineering Certification
About Udemy - 2 Week Prompt Engineering Certification
Overview
2 Week Prompt Engineering Certification https://WebToolTip.com Published 6/2026 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 25m | Size: 1.47 GB Master practical prompt patterns to get clearer, faster, and more reliable results from AI tools. What you'll learn Understand how Large Language Models work at a practical level, including tokens, probabilities, and why prompts affect output quality. Write clear, structured prompts using role, task, context
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2 Week Prompt Engineering Certification
https://WebToolTip.com
Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 25m | Size: 1.47 GB
Master practical prompt patterns to get clearer, faster, and more reliable results from AI tools.
What you'll learn
Understand how Large Language Models work at a practical level, including tokens, probabilities, and why prompts affect output quality.
Write clear, structured prompts using role, task, context, format, constraints, and examples.
Apply core prompt patterns such as zero-shot prompting, few-shot prompting, instruction-based prompting, and reusable templates.
Improve AI responses by controlling tone, length, structure, format, and level of detail.
Debug weak prompts and transform vague requests into high-quality prompts using simple iteration frameworks.
Use advanced techniques such as reasoning prompts, role-based prompts, persona prompts, and multi-role prompting.
Create task-specific prompts for writing, coding, research, summarization, brainstorming, and productivity.
Build a reusable Prompt OS that supports real-world workflows and repeated AI tasks.
Requirements
No prior prompt engineering experience is required.
No coding experience is required to complete the course.
Basic familiarity with using a computer, browser, and online tools is helpful.
Access to an AI tool such as ChatGPT, Claude, Gemini, Copilot, or another LLM-based assistant is recommended.
A willingness to practice, experiment, and improve prompts through iteration.
This course is beginner-friendly and explains concepts in simple, practical language.