AI Prompt Engineering: Developer's Guide to LLMs

What you will learn:

Master the art of crafting effective prompts for LLMs.
Automate coding tasks and boost developer productivity.
Build practical AI-powered applications using LLMs.
Improve code quality through AI-driven analysis and suggestions.
Integrate LLMs seamlessly into your development workflow.
Understand the inner workings of Large Language Models.
Explore different prompt types and techniques.
Leverage AI pair programmers for enhanced coding efficiency.
Build a functional music recommendation system using APIs and LLMs.
Gain hands-on experience with real-world projects.

Description

Revolutionize your coding with the power of AI! This course teaches developers how to master prompt engineering, a crucial skill for leveraging Large Language Models (LLMs) like GPT. Learn to craft effective prompts to automate tasks, enhance creativity, and boost code quality. We'll cover the fundamentals of prompt engineering, explore various prompt types, and guide you through building real-world applications such as a personalized music recommendation system using Spotify and ChatGPT APIs. No prior AI experience is needed. This hands-on course provides practical examples, exercises, and actionable insights to transform your development workflow. Become proficient in using LLMs to streamline processes, generate innovative ideas, and significantly improve your coding efficiency. Join now and unlock the full potential of AI in your development journey!

What You'll Gain:

A deep understanding of prompt engineering principles and techniques.
The ability to automate repetitive coding tasks and generate boilerplate code efficiently.
Skills to boost creativity in brainstorming and content generation for your projects.
Methods for improving code quality using LLM-driven analysis and refactoring.
Practical experience building real-world applications, including a chatbot and a music recommendation system.
Strategies for seamlessly integrating LLMs into your existing development processes.

Who Should Enroll:

Developers seeking to enhance their productivity and efficiency.
Beginners curious about applying AI to software development.
Tech enthusiasts wanting to explore the practical applications of LLMs.
Anyone looking to integrate AI tools into their work.

Course Highlights:

Beginner-friendly approach, no prior AI knowledge required.
Real-world project-based learning experience.
Comprehensive coverage of prompt engineering concepts, from basic to advanced techniques.
Hands-on exercises and practical tips for immediate implementation.

Don't wait! Enroll today and start harnessing the power of AI for your coding projects.

Curriculum

Prompt Engineering Fundamentals

This section lays the groundwork for understanding prompt engineering. You'll begin with the 'Basics of Prompt Engineering,' learning core concepts and terminology. The lecture on 'Understanding Large Language Models (LLMs)' demystifies these powerful tools. We'll explore 'Types of Prompts' to understand the nuances of different prompt structures and their effects. The 'Benefits of Using Prompt Engineering for Developers' lecture highlights the advantages for coders. A short 'Knowledge Check' reinforces your learning, followed by 'Prompt List for Developers- Maximizing LLM Utility' providing practical tips for optimal prompt creation.

Building Real-World Applications

This section dives into practical application building. The 'Creating a To-Do List Application with Vite, React, and GitHub Copilot' lecture provides a hands-on experience using popular development tools and an AI pair programmer. The main project, 'Main Project: Mood Based Playlist Creator Integrating ChatGPT and Spotify APIs', is a comprehensive exercise where you'll integrate several APIs and an LLM to create a functional music recommendation system. This project showcases the power of prompt engineering in building creative and useful applications.

Deal Source: real.discount