Prompt Engineering for Developers

Name: Prompt Engineering for Developers
Rating: 4.1 (210 reviews)

Master the Art of Crafting Prompts to Unlock the Potential of Large Language Models (LLMs) for Developers

Created byLearnsector LLP, Shreejit Gangadharan

Last updated 11/2025

English

What you'll learn

Understand the fundamental concepts of prompt engineering and its importance in leveraging large language models (LLMs).
Develop skills to craft precise prompts for automating coding tasks, improving efficiency, and generating high-quality outputs.
Build real-world applications like recommendation systems using LLMs and integrate them into your development workflow.
Analyze and improve code quality with LLM-driven insights, including refactoring suggestions and technical debt identification.

Course content

3 sections • 12 lectures • 2h 32m total length

Basics of Prompt Engineering5:06
This lecture introduces you to the foundational concepts of prompt engineering. You will learn what prompts are, how they work with large language models (LLMs), and why crafting precise prompts is essential for achieving desired outputs. The lecture also explores key principles and best practices for writing effective prompts.
Understanding Large Language Models (LLMs)5:11
In this lecture, you’ll gain a foundational understanding of Large Language Models (LLMs), including how they process prompts, generate responses, and learn from vast datasets. This session breaks down the core concepts behind LLMs in an easy-to-follow manner, making it accessible for beginners and invaluable for developers looking to integrate AI into their workflows.

What You’ll Be Able to Do After Completing This Video:
Explain how LLMs are trained and function.
Understand the role of datasets in shaping LLM capabilities.
Describe how prompts influence the quality of AI-generated outputs.
Identify practical applications of LLMs in real-world scenarios.
Types of Prompts8:04
This lecture dives into the various types of prompts and their use cases in prompt engineering. You’ll learn about zero-shot, one-shot, and few-shot prompting, along with instruction-based and role-based prompts. Through practical examples, you’ll see how different types of prompts influence AI outputs and how to choose the right prompt for specific tasks.
What You’ll Be Able to Do After Completing This lecture:
Differentiate between zero-shot, one-shot, and few-shot prompting.
Understand instruction-based and role-based prompts and their applications.
Select the appropriate type of prompt for diverse AI-driven tasks.
Apply these prompting techniques to improve the accuracy and relevance of LLM outputs.
Benefits of Using Prompt Engineering for Developers6:44
In this lecture, you will explore the key benefits of incorporating prompt engineering into your development workflow. Learn how prompt engineering can save time, boost creativity, and streamline complex tasks. Discover real-world examples of how developers use prompts to enhance productivity and deliver innovative solutions.
What You’ll Be Able to Do After Completing This Video:
Identify specific ways prompt engineering improves development workflows.
Understand how to use prompts to automate repetitive tasks and reduce manual effort.
Leverage prompts to enhance creativity in brainstorming and content generation.
Apply prompt engineering techniques to improve code quality and project efficiency.
Knowledge Check
Prompt List for Developers- Maximizing LLM Utility3:43

Creating a To-Do List Application with Vite, React, and GitHub Copilot9:48
In this hands-on demo, you will learn how to create a fully functional To-Do List Application using Vite, React, and GitHub Copilot. This step-by-step guide will demonstrate how to set up a development environment, leverage GitHub Copilot to generate efficient code, and build an intuitive and dynamic task management app.
What You’ll Be Able to Do After Completing This Demo:
Set up a React project using Vite for a fast and optimized development experience.
Use GitHub Copilot to assist in writing and improving your application code.
Create interactive features like adding, editing, and deleting tasks in a to-do list.
Organize and structure your application components effectively.
Gain confidence in using AI-assisted coding tools to streamline your development workflow.
By the end of this demo, you’ll have a solid foundation in building applications with modern tools and AI assistance, ready to apply these skills to your own projects!
Main Project: Mood Based Playlist Creator Integrating ChatGPT and Spotify APIs39:27
In this Demo, you’ll learn how to create a dynamic mood-based playlist creator by integrating ChatGPT with Spotify’s APIs. Discover how to use AI-driven tools to interpret user input, identify moods, and generate personalized playlists. This hands-on project combines API integration, prompt engineering, and application development, giving you practical insights into building AI-powered solutions.

What You’ll Be Able to Do After Completing This Video:
Integrate ChatGPT and Spotify APIs to build an interactive playlist creator.
Use prompts to interpret user mood and map it to suitable music genres.
Handle OAuth authentication and API requests efficiently.
Generate and manage playlists dynamically based on user preferences.

Project Breakdown10:51
Project Setup4:22
Creating the folder
Setting up VS Code
Introducing Gemini Code Assist
Phase 1: Creating venv, installing dependencies
Requirements.txt
Setting up .env, API keys
Agentic Loop + UX Improvements25:23
Building application logic
Asking for topics
Tavily integration
Like/Dislike feedback loop
Preference model
Adding user options
Git init + GitHub connection
Saving user preferences
SQLite storage shift
Vector DB + Re-Ranking17:36
Why vector DB
ChromaDB setup
Embeddings
Search → Re-rank pipeline
Topic extraction
Weighted topic selection
Topic score JSON
Advanced Enhancements16:27

Requirements

Familiarity with any programming language (e.g., Python, JavaScript, or similar).
Understanding of basic coding concepts such as functions, variables, and loops.
Curiosity about AI applications and how they can be integrated into development workflows.

Description

Are you ready to revolutionize your development workflow by leveraging the power of large language models (LLMs) like GPT? In today’s rapidly evolving tech landscape, prompt engineering has emerged as a vital skill for developers to enhance productivity, streamline processes, and unlock new creative possibilities. This beginner-level course, "Prompt Engineering for Developers," is your gateway to mastering this cutting-edge skill.

What You’ll Learn

The core principles of prompt engineering and how to craft precise, effective prompts.
Techniques to improve efficiency by automating repetitive coding tasks and generating boilerplate code.
Methods for enhancing creativity in brainstorming and content generation for your projects.
How to improve code quality using LLM-driven analysis and refactoring suggestions.
Step-by-step guidance to build practical applications, such as a chatbot and a personalized recommendation system.
Strategies for integrating LLMs into your existing development workflow.

Why Take This Course?

This course is designed with developers in mind, focusing on real-world applications and hands-on projects. Whether you want to automate tedious tasks, generate innovative ideas, or improve your coding efficiency, this course equips you with the tools and knowledge to make LLMs work for you.

With clear explanations, practical examples, and actionable insights, you’ll gain the confidence to harness the potential of LLMs and elevate your development skills.

Who Is This Course For?

Beginners curious about prompt engineering and large language models.
Developers looking to integrate AI-driven tools into their workflow.
Tech enthusiasts interested in exploring the practical applications of LLMs.
Anyone eager to enhance productivity and creativity through AI.

Course Highlights:

Beginner-friendly approach with no prior AI experience required.
Real-world projects including a recommendation system.
Comprehensive coverage of prompt engineering concepts, from fundamentals to advanced techniques.
Hands-on exercises and practical tips for immediate application.

Enroll Today!

Transform your approach to development and stay ahead in the tech industry by mastering prompt engineering. Join "Prompt Engineering for Developers" and unlock the limitless possibilities of LLMs. Start building smarter, faster, and more creatively today!

Who this course is for:

Aspiring developers eager to enhance their skills with foundational AI concepts.
Professionals looking to integrate AI-driven tools into their development workflows.
Hobbyists interested in building innovative projects, such as chatbots and recommendation systems, with minimal coding effort.
Students aiming to build AI-driven projects as part of their academic curriculum or personal learning goals.
Educators looking to teach prompt engineering and LLM concepts to their students.

Prompt Engineering for Developers

What you'll learn

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Course content

Prompt Engineering5 lectures • 29min

Hands-on Projects2 lectures • 49min

Capstone Project: Personalized News Curator5 lectures • 1hr 15min

Requirements

Description

Who this course is for: