ChatGPT Assistants Build A PHP Laravel Weather A.I Chat Bot!
ChatGPT Assistants Build A PHP Laravel Weather A.I Chat Bot!, available at $54.99, with 33 lectures, and has 19 subscribers.
You will learn about How to build GPT3 and GPT4 Assistants in PHP How to use OpenAI ChatGPT Api's How to use Open Weather Map API to obtain accurate weather information How to integrate your own custom ChatGPT chatbot into your website This course is ideal for individuals who are People interested in artifical intelligence or People interested in LLMS(Large language Models) or Software Engineers who want to build chatbots for their websites. It is particularly useful for People interested in artifical intelligence or People interested in LLMS(Large language Models) or Software Engineers who want to build chatbots for their websites.
Enroll now: ChatGPT Assistants Build A PHP Laravel Weather A.I Chat Bot!
Summary
Title: ChatGPT Assistants Build A PHP Laravel Weather A.I Chat Bot!
Price: $54.99
Number of Lectures: 33
Number of Published Lectures: 33
Number of Curriculum Items: 33
Number of Published Curriculum Objects: 33
Original Price: $44.99
Quality Status: approved
Status: Live
What You Will Learn
- How to build GPT3 and GPT4 Assistants in PHP
- How to use OpenAI ChatGPT Api's
- How to use Open Weather Map API to obtain accurate weather information
- How to integrate your own custom ChatGPT chatbot into your website
Who Should Attend
- People interested in artifical intelligence
- People interested in LLMS(Large language Models)
- Software Engineers who want to build chatbots for their websites.
Target Audiences
- People interested in artifical intelligence
- People interested in LLMS(Large language Models)
- Software Engineers who want to build chatbots for their websites.
Dive into the world of artificial intelligence with our course “ChatGPT Assistants Build A Laravel Weather A.I. Chat bot!” specially designed for beginners interested in developing AI-driven applications. This course offers a practical introduction to building intelligent chatbots, utilizing the Laravel framework and OpenAI’s Assistant APIs.
We begin by introducing you to “Betty,” your first chatbot. Betty is designed to be your personal assistant, proficient in managing your calendar entries. You will learn the ins and outs of PHP, Laravel’s robust framework, and OpenAI’s Assistant APIs, which form the backbone of Betty’s functionality. Through building Betty, you’ll grasp the essentials of user intent recognition, natural language processing, and task automation.
After mastering the basics with Betty, the course shifts gears to a more challenging task – constructing a weather assistant bot. This bot is capable of fetching real-time weather conditions from any city in the world. To achieve this, we will leverage the OpenWeatherMap API, integrating it seamlessly with our chatbot to provide instant weather updates upon request.
Throughout the course, you’ll engage with key programming concepts and learn to navigate APIs, ensuring your bots can retrieve, process, and deliver information efficiently. By the end of this course, not only will you have built two functional chatbots, but you’ll also have acquired the foundational skills necessary to expand into more complex bot development projects.
Join us as we embark on this programming adventure to unlock the full potential of chatbots in the digital world!
Daniel McCarthy your teacher, a seasoned software engineer with extensive real-world experience, has designed this outstanding course to facilitate learning in artificial intelligence. Many of his video courses have achieved bestseller status.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Recent A.I Developments And ChatGPT Explained
Lecture 3: Installing PHP And Composer
Lecture 4: What are GPT Assistants?
Chapter 2: Building your first ChatGPT Assistants with PHP
Lecture 1: Building your first ChatGPT Assistant
Lecture 2: Using Your GPT Assistant In PHP
Lecture 3: Using Custom GPT Assistant Classes
Lecture 4: Responding to ChatGPT function calls in your Assistant class
Lecture 5: Using your GPT Assistant as a Chatbot
Lecture 6: Switching to the GPT4 model in your Chatbot
Lecture 7: Blocking the conversation to wait for a response from ChatGPT
Lecture 8: GPT API Internals Understanding Threads and runs
Lecture 9: How to save and restore conversations
Lecture 10: Writing code to save and restore a conversation
Chapter 3: Weather Application ChatBot -Ask for the weather in any city in natural language
Lecture 1: Weather Application Project Overview
Lecture 2: Setting up our laravel project and databases
Lecture 3: Creating Our Base Code
Lecture 4: Building a test assistant in our laravel application
Lecture 5: Building the base of our API controller
Lecture 6: Building the ability to ask a question to the assistant through the api
Lecture 7: Maintaining assistant conversations throughout API requests
Lecture 8: Passing the function call stack back to the user
Lecture 9: Designing our weather assistant
Lecture 10: Integrating our weather assistant into our API
Lecture 11: Integrating the OpenWeatherMap API
Lecture 12: Integrating the front end GUI with HTML and Bootstrap
Lecture 13: Integrating the Jquery AJAX requests to talk with our chatgpt assistant
Lecture 14: Updating the icons of our chat box
Lecture 15: Listening to the enter key to send messages
Lecture 16: Creating the weather cards
Lecture 17: Dealing with card icons and descriptions programatically
Lecture 18: Styling our application
Chapter 4: Bonus Section
Lecture 1: Bonus Lecture
Instructors
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Daniel McCarthy
Compiler developer in my spare time
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