Udemy

Prompt Engineering + Python Scripting = Automate Tasks

立即報名
  • 104 名學生
  • 更新於 1/2026
  • 可獲發證書
4.3
(12 個評分)
CTgoodjobs 嚴選優質課程,為職場人士提升競爭力。透過本站連結購買Udemy課程,本站將獲得推廣佣金,有助未來提供更多實用進修課程資訊給讀者。

課程資料

報名日期
全年招生
課程級別
學習模式
修業期
5 小時 57 分鐘
教學語言
英語
授課導師
Being Commerce, Being Commerce
證書
  • 可獲發
  • *證書的發放與分配,依課程提供者的政策及安排而定。
評分
4.3
(12 個評分)
5次瀏覽

課程簡介

Prompt Engineering + Python Scripting = Automate Tasks

ChatGPT Prompt Engineering + Python Scripting = Turn AI Prompts into Automated Workflows!

AI tools are powerful, but most people use them in a very shallow way.

They type random prompts, copy results, and repeat the same manual work every day. This course exists to change that.

Prompt Engineering ChatGPT + Python Scripting: Automate Real Tasks teaches you how to control AI output with clear prompts and then connect those prompts with Python scripts to remove repetitive work from your daily tasks.

This is not a theory-heavy course. You will see how prompt engineering works in real situations and how Python turns those prompts into repeatable actions.

You will start by understanding how large language models respond to instructions, why some prompts fail, and how to structure prompts that produce stable, predictable results. Instead of guessing, you will learn a clear system for writing prompts that work across different tasks.

Once that foundation is set, the course moves into Python scripting. You will not be overwhelmed with complex coding. Everything is explained step by step with a focus on real use cases. You will learn just enough Python to connect prompts with automation logic.

You will work with JSON, APIs, and request-response flows so your scripts can talk to AI tools correctly. This is where most learners get stuck, and this course removes that confusion.

By the end of the course, you will be able to:

  • Send prompts from Python

  • Receive structured AI responses

  • Control cost and usage

  • Run the same workflow again without manual effort

You will also see how prompt engineering fits into everyday work. Content creation, chatbot replies, YouTube scripts, tweets, summaries, and basic support replies are all covered using clear examples.

If you do not take this course, you will likely keep:

  • Copy-pasting prompts manually

  • Rewriting the same instructions again and again

  • Getting different answers every time

  • Wasting time on tasks that could be automated

After completing this course, your mindset will shift.

Instead of asking “What should I type into ChatGPT today?”, you will think:

  • “How do I turn this task into a repeatable workflow?”

  • “How can Python send this prompt automatically?”

  • “How do I control output format and cost?”

This course is designed for beginners who want practical results and intermediate learners who want to connect AI with scripts. You do not need advanced coding knowledge. You need curiosity and a willingness to practice.

If your goal is to use AI seriously, not casually, this course gives you that structure.

課程章節

  • 8 個章節
  • 12 堂課
  • 第 1 章 Introduction to Prompt Engineering & Python
  • 第 2 章 Basics to Prompt Engineering
  • 第 3 章 Downloading All Important Applications
  • 第 4 章 Basics of Python Complete
  • 第 5 章 Diving inside Json & API Fantasy
  • 第 6 章 Python and LLM Integrations
  • 第 7 章 Prompting & Automation in Action
  • 第 8 章 Overcome Limitations with Automation

課程內容

  • How prompt engineering works with ChatGPT and LLMs
  • How to write clear, repeatable prompts
  • Common prompt mistakes and how to avoid them
  • Basics of Python needed for automation
  • How to work with JSON responses
  • How APIs communicate with AI tools
  • How to connect prompts with Python scripts
  • How to estimate usage cost
  • How to manage prompt versions
  • How to automate content and text tasks

評價

  • S
    Sita Ram
    5.0

    This course is really helpful and we can use it to understand what prompt engineering is and also got hands on experience that will help me for my further career. Thank you so much

  • J
    Jamie Rollins
    3.5

    I was confident with python coming into this course and studied the theory of prompt engineering and LLM's coming into this course, so I knew some of the information presented. I think the code given is a good demonstration of how to use GPT APIs in our code. I do wish more theory was talked about or more programming exercises

立即關注瀏覽更多

本網站使用Cookies來改善您的瀏覽體驗,請確定您同意及接受我們的私隱政策使用條款才繼續瀏覽。

我已閱讀及同意