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信息技术与软件/其他 IT 和软件/及时工程

Master Prompt Engineering With Real Life Examples (课程)

Get 10x better results from any AI including ChatGPT by learning prompt engineering with us

所有级别 • 33 讲座 • 终身无限畅学
Javid Karimov

认证硕士导师

Master Prompt Engineering With Real Life Examples
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总内容

你将学到什么

Learn prompt engineering
Prompt engineering skills for getting the best answer from AI
Key elements of good prompts
Principles of a good prompt

课程内容

7 部分 • 33 讲座 • 01:36:56 总长度

Introduction

01:02

What you will get from this course

What is prompt?

00:59

Information about prompts

Why must we learn prompt engineering?

02:18

Why it is important to learn prompt engineering

Mistakes in prompt engineering

03:42

Learn about general mistakes people do when they write a prompt

Bad and good prompt examples

05:48

See the differences and results of bad and good prompts with examples

Key elements of a good prompt

03:55

Learn the 9 key elements of a good prompt

Difficulty levels of prompts

00:46

Learn about 4 difficulty levels of prompts

Basic prompts

02:16

Learn basic level prompts with examples

Medium prompts

03:31

Learn medium level prompts by examples

Hard prompts

03:00

Learn hard level prompts with examples

Introduction to complex prompts

01:22

Learn when and why we need to use complex prompts

Split complex prompt into sub prompts - 1st part

02:00

Learn how to split complex prompts into sub (smaller) prompts

Get answers to your sub prompts - 2nd part

03:32

Second part of complex prompt engineering - get answers to your sub prompts

Determine variables for your prompts and get your last result - 3rd part

02:40

Learn how to get last (main) result for your complex prompt

Summarized lesson about complex prompts

02:18

Wrapping up complex prompts with examples

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要求

You need active ChatGPT account, better with plus subscription

You don't need any programming skills

You need OpenAI platform account

目标受众

For anyone who uses AI in their job

For programmer who uses api for their AI project

For anyone who uses n8n workflows

For anyone who wants to create AI assistants, AI agents

关于本课程

Master Prompt Engineering with Real-Life Examples


Are you ready to take your AI interactions to the next level? This course is designed to guide you through the essentials of prompt engineering, empowering you to communicate effectively with AI and get the results you want every time.


In this course, you will:

  • Discover the 5 core principles of prompt engineering that form the foundation of crafting clear and efficient prompts.
  • Learn about common mistakes many people make when writing prompts and how to avoid them.
  • Understand how to write structured outputs that help AI provide responses in exactly the format you need.
  • Explore a variety of prompt examples across different levels:
  • Basic prompts to build strong fundamentals
  • Medium prompts to challenge your skills
  • Hard prompts for advanced use cases and problem-solving
  • Complex prompts for getting most accurate answers for real world tasks
  • See side-by-side comparisons of bad versus good prompts so you know exactly what works and what doesn’t.
  • Get practical insights into using AI features like memory and structured outputs to optimize your workflows and boost AI performance.
  • Master techniques for integrating tools and AI capabilities seamlessly into your projects for better interactivity and results.
  • Exclusively learn how to write system prompts tailored specifically for AI agents, n8n workflows, AI chatbots, and various AI-driven projects — a skill you won’t find in other courses.


By the end of this course, you will be confident in designing prompts that are effective, structured, and tailored to your needs. Whether you want to improve AI-driven applications, build smarter chatbots, or simply understand AI communication better, this course provides the real-life examples and hands-on guidance to help you succeed.


Join now and transform how you interact with AI — make your prompts work harder, smarter, and faster for you!

职业发展机遇与目标岗位

掌握前沿实战技能,胜任全球高薪核心职位

就业就绪型课程
可申请的目标岗位

Full Stack Software Engineer

Backend Systems Developer

Frontend Application Specialist

Automation & Scripting Engineer

预估年薪范围
$90,000 – $145,000 / yr
全球行业需求

High Global Tech Demand

掌握的核心关键技能
Production Code Architecture
RESTful & Modern API Design
State Management & UI Scaling
Debugging & Automated Testing
* 估算数据基于全球科技行业薪酬基准与招聘市场报告。
认识您的讲师
Javid Karimov
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Javid Karimov
主要导师
Founder of Ainisa.com & Senior Software Engineer
As the founder and CEO of Ainisa and software engineer with more than 10 years experience, I leverage my expertise in agile business models to create innovative solutions for various industries. Today after 10 years I used all my skills and experience to build AI powered projects to show world the power of Artificial Intelligence. It made me to learn prompt engineering, fine-tuning GPT models and create AI agents. I am also a skilled senior software engineer with experience in creating microservices, configuring docker files, and integrating APIs. I have worked with a variety of technologies, including PHP 8, PostgreSQL, MySQL, Apache Kafka, ELK, MongoDB, and Laravel 10 with Octane, NestJs, Vue 3. I am passionate about building high-quality products that meet the needs of my clients and customers....

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