課程資料
報名日期
全年招生
課程級別
學習模式
修業期
1 小時 37 分鐘
教學語言
英語
評分
課程簡介
Prompt Engineering and Context Engineering Made Simple with Frameworks for ChatGPT & Claude, Claude Code & Cowork & MCP
Course Update: February, 2026
With the recent updates to Claude now supporting multi-agent workflows and teams, I am updating this course with a new section on Context Engineering and Prompt Engineering with Claude. This course will be updated frequently moving forward with not only Prompt Engineering techniques, but also Context Engineering, multi-agentic agent team requirements document approaches and more. Be sure to preview the new section in this course that contains in-depth training around Claude, Claude Code and Cowork, connecting to MCP servers and more.
The emerging fields of Prompt Engineering and Context Engineering are leading to a multitude of six-figure jobs in this brand new field, thanks to the advent of AI and Agent Workflows now reaching the mainstream.
Generative AI is a ground-breaking technology, but the output it gives is only as strong as the inputs it receives. This is where Prompt Engineering comes into focus. There are dozens of different types of prompts you can employ, which you will learn inside of this course!
Join me as I teach you how to get the most out of ChatGPT by elevating your prompting skills.
This course is geared towards absolute beginners with no prior Prompt Engineering experience.
This course is updated frequently with the latest updates and advancements from OpenAI and ChatGPT. There are many new prompt techniques, templates and frameworks being developed globally. We will reference those and explore their implications and use cases in this ever growing course.
In this course, you will not only learn effective prompting techniques, but the emerging prompt engineering jobs outlook as well.
We explore conversational AI and the importance of crafting optimal prompts.
I also introduce you to how to engineer your prompts for learning with focus prompts, such as subject-focused learning prompts, problem-focused learning prompts and learner-focused learning prompt.
You will also discover a primer on the different tyupes of prompts, such as zero-shot prompts, one shot prompts, chain of thought prompts (CoT) and few shot prompts.
Join today and start learning Prompt Engineering for ChatGPT!
課程章節
- 4 個章節
- 19 堂課
- 第 1 章 Introduction
- 第 2 章 Engineering Prompts for Learning with Focus Prompts
- 第 3 章 Shots & CoTs - Types of Prompts
- 第 4 章 Advanced Prompt Engineering and Context Engineering with Claude Code and Cowork
課程內容
- Learn effective prompt engineering principles, Learn Zero Shot Prompt Engineering, Learn Few Shot Prompt Engineering, Learn how to craft prompts in a variety of context, Learn Chain of Thought Prompt Engineering
評價
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BByung Ahnn
Although the course is descrived as beginner-level, much of the content was too complex for beginners. In addition, the instruction was delivered in a fast, talk-show style with limited visual slides, which made it difficult for beginners to follow.
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JJeff Berry
Generally explained prompt engineering, but did not go into detail on how to format a prompt correctly to achieve better output. Giving examples of poor prompts and how those prompts could be improved would have been useful.
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CCchassagnard
Overall ok but: - Only provide a recipe approach ... we have enough inteligence to grasp why the AI behave this way? so we can get out of that very scholar recipe. - As soon as the section ChatGPT demo came along it was really obvious that this is sponsored one way or another by OpenAI - Way presenting coding example in there, this is out of place ... and I used to be a developer - The volume of the audio is far too different from one video to another. This is annoying ... Rework your videos and normalise the audio .... it is just a click of a button! Overall disappointing.
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TTfuchs
Good content and clear course structure with constitutive sections. Good speed of the speaker. Role plays a bit difficult and one time the evaluation of a role play timed out.
