Build & Sell Your Own Robust Ai Agents Using Python & Openai
Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.19 GB | Duration: 2h 54m
Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.19 GB | Duration: 2h 54m
Build, Launch, and Sell Powerful AI Tools Using Python Programming and OpenAI/ChatGPT. Launch Your Own Robust AI Today!
What you'll learn
Understand how GPT-based agents work and how to communicate with OpenAI’s API
Explore prompt engineering techniques to guide and control model behavior
Create a sleek GUI AI Agent using Python
Capture user input and display AI responses in a human-like conversational format
Enhance your AI Agent with history tracking and customization
Learn to send prompt-based image generation requests via API
Build an interface to visualize and refine AI-generated images
Add image editing and saving functionality to your application
Learn modular architecture to make your apps scalable and easy to extend
Discover strategies to package and sell your applications as software products
Explore marketplaces and real-world opportunities for monetization
Requirements
A basic understanding of Python programming
A computer with Python installed (Windows, macOS, or Linux)
Internet access to interact with OpenAI APIs
A willingness to experiment, build, and think creatively!
Description
Welcome to "Build & Sell Your Own Robust AI Agents using Python & OpenAI" — the ultimate hands-on course designed to transform you from a curious learner into a profitable AI innovator. In this comprehensive course, you'll learn how to build powerful, production-ready AI applications using Python, OpenAI's GPT models, and cutting-edge prompt engineering techniques.This course focuses specifically on building custom ChatGPT-powered AI Agents, fully functional Text Chat Applications, and AI Image Generators — tools that not only demonstrate your technical skill but can be monetized and deployed for real-world use.You'll go step-by-step through building your own AI ChatApp, integrating speech recognition, generating high-quality images from text prompts using advanced diffusion models, and structuring your code for scalability and commercial distribution. Whether you're planning to sell these applications as software products, offer them as freelance services, or integrate them into your business, this course will equip you with the tools and strategies to succeed.Steps to Achieve Your Goal:Master Foundations of Building AI AgentsBuild Your Own ChatGPT-Powered Text Chat ApplicationCreate Advanced AI Image Generators Using Text PromptsAdd Functional Tools for a Full AI Creation SuiteStep into the future of technology and entrepreneurship with this cutting-edge, hands-on course that empowers you to build, customize, and monetize your own AI-powered applications using Python and OpenAI's powerful models. Whether you're a developer, digital entrepreneur, freelancer, or tech enthusiast, this course is your gateway to joining the next generation of AI innovators.In this comprehensive and practical training, you'll learn how to craft intelligent, ChatGPT-style AI agents capable of natural conversation, generate high-quality AI images from prompts, and create complete AI-driven applications ready to deploy and sell. No fluff—just real-world AI development, guided by practical steps and revenue-focused strategies.
Overview
Section 1: Introduction to DeskGPT AI Development | Project Setup and Case Study
Lecture 1 Complete Intro to DeskGPT AI Development Using Python and OpenAI
Section 2: First AI Agent Project | Build and Deploy a Simple Text AI Chat Assistant
Lecture 2 Introduction and Testing of Your First Simple AI Assistant Agent
Lecture 3 Download and Installation of Visual Code Studio
Lecture 4 Download and Installation of Python
Section 3: Create and Activate a Virtual Environment
Lecture 5 Create and Activate a Virtual Environment
Section 4: Install Required Libraries and Dependencies
Lecture 6 Install Required Libraries and Dependencies
Section 5: Setup OpenAI API Key
Lecture 7 Setup OpenAI API Key
Section 6: Import Required Libraries and Load Environment Variables
Lecture 8 Import Required Libraries and Load Environment Variables
Section 7: Initialize the OpenAI Client and Start Conversation with a System Role
Lecture 9 Initialize the OpenAI Client and Start Conversation with a System Role
Section 8: Create Conversation Loop and Interact with your AI Chat Agent
Lecture 10 Create Conversation Loop and Interact with your AI Chat Agent
Lecture 11 Exiting Chat with the AI
Section 9: Clear and Restart Your AI Chat Conversations
Lecture 12 Clear and Restart Your AI Chat Conversations
Section 10: Return Your Chat History with AI Chat Agent
Lecture 13 Return Your Chat History with AI Chat Agent
Section 11: Display Instruction Manual, Handle User Empty Messages and Deploy Your App
Lecture 14 Display Instruction Manual and Handle User Empty Messages
Lecture 15 Handle Errors in your AI Chat Agent Conversations
Lecture 16 Deploy an Executable File for AI Chat Agent
Section 12: Second AI Agent Project | Build and Deploy Advance AI Agent with Image Display
Lecture 17 Create and Activate Environment Variable and Required Libraries
Lecture 18 Setup OpenAI Secret Key and Save Securely
Lecture 19 Import the necessary Project Libraries
Lecture 20 Required Project Setup
Section 13: Main Application Window
Lecture 21 Create Main Application Window
Section 14: Chat Display Area
Lecture 22 Build Chat Display Area
Section 15: Input Box and Send Button
Lecture 23 Create Input Box and Send Button
Section 16: Setup Functions and Send Messages
Lecture 24 Define Your Functions
Lecture 25 Handle Message Sending
Section 17: Filter Message Sending to OpenAI
Lecture 26 Filter Message Sending to OpenAI
Section 18: Messages to Chat Display Box
Lecture 27 How to Append Messages to Chat Display Box
Section 19: Generating Standard Images using OpenAI Dall 3
Lecture 28 Generating Standard Images using OpenAI Dall 3
Lecture 29 Build Display Image Popup Window
Section 20: Final Stage and App Deployment
Lecture 30 Final Project Testing and Implementation
Lecture 31 Project Execution and Deployment
Section 21: Project Documentation
Lecture 32 End Of AI App Development and Project Documentation
Developers and coders who want to harness AI to build real applications,Students and hobbyists eager to break into the world of AI with practical projects,Entrepreneurs and freelancers looking to launch or scale AI-driven products and services,Tech enthusiasts who want to learn how AI tools like DeskGPT and DALL·E can be customized,Marketers, content creators, and professionals who want to automate and enhance their workflows