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Build & Sell Your Own Robust Ai Agents Using Python & Openai

Posted By: ELK1nG
Build & Sell Your Own Robust Ai Agents Using Python & Openai

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

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