Openai Codex Full Course 2026: Ai Coding, Automation, Agents
Published 5/2026
Created by Mukesh Kumar Pandey
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 11 Lectures ( 1h 29m ) | Size: 926 MB
Master AI Coding, Automation, AI Agents & Scalable Application Development with OpenAI Codex
What you'll learn

Master OpenAI Codex fundamentals and build AI-powered coding workflows from scratch

Learn how to automate software development tasks using AI coding agents and intelligent automation

Build scalable AI applications using Python, SQL, APIs, automation frameworks, and modern development tools

Create AI agents for code generation, debugging, testing, documentation, and deployment automation

Understand prompt engineering techniques for AI coding assistants and developer productivity

Develop real-world projects using AI-driven coding, workflow automation, and cloud integration

Understand how AI is transforming the IT industry and how to stay future-ready with AI skills

Create portfolio-ready projects to showcase AI coding, automation, and agent development expertise
Requirements

No programming or AI experience is required - this course is beginner friendly
Description
OpenAI Codex Full Course 2026: AI Coding, Automation, AI Agents & Scalable Application Development
Master the future of AI-powered software development with OpenAI Codex. This complete hands-on course is designed for developers, data engineers, software engineers, AI enthusiasts, and tech professionals who want to automate coding workflows, build AI agents, debug applications, and create scalable real-world projects using OpenAI Codex.
In this course, you will learn how to use Codex for AI coding automation, intelligent debugging, code generation, workflow automation, scalable application development, and autonomous AI agent creation. You will also explore practical real-world use cases across Python, SQL, PySpark, ETL/ELT pipelines, APIs, automation workflows, and cloud-native applications.
This course covers beginner to advanced concepts with real-time projects, production-ready examples, and industry-level automation techniques.
What You Will Learn

Introduction to OpenAI Codex

AI Coding and Development Workflows

Automating Python, SQL, and PySpark Coding

ETL/ELT Pipeline Automation

AI-Powered Debugging and Auto Code Fix

Building AI Agents using Codex

Automating Scalable Application Development

Code Optimization and Refactoring

Workflow Automation using AI

Real-Time Project Development

Prompt Engineering for Developers

Production-Ready AI Coding Techniques

Scalable Software Engineering with AI
Real-Time Use Cases

Data Engineering Automation

AI Code Review and Debugging

ETL Pipeline Development

API Development

Automation Scripts

Scalable Backend Applications

AI-Assisted Development Workflows
Who this course is for

Beginners who want to learn AI-powered coding and automation from scratch

Software developers interested in building AI agents and scalable AI applications

Data Engineers, Data Analysts, AI Engineers, and Machine Learning professionals

Students and freshers preparing for future AI and automation careers

Working professionals who want to automate coding and daily development tasks

Freelancers and entrepreneurs looking to build AI-powered products and services

DevOps engineers and cloud professionals exploring AI-driven workflows and automation

Anyone interested in learning OpenAI Codex and modern AI coding tools

IT professionals who want to stay relevant and future-ready in the AI era

Content creators, educators, and tech trainers who want to use AI for productivity and development

Professionals preparing for AI, automation, and software engineering interviews in 2026 and beyond
Homepage
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