Description
Harness Engineering Masterclass: AI Coding Agents is a course on how to build, integrate, and manage AI coding agents in modern software engineering workflows using the Harness platform and AI-driven development practices, published by Udemy Online Academy. While many courses focus on motivation, this one goes much deeper by examining the architecture, execution model, and engineering principles behind autonomous coding systems. You’ll learn how Claude Code, OpenAI Codex CLI, Gemini CLI, and other modern AI development tools reason about problems, manage context, run tools, edit repositories, and collaborate to solve complex software engineering tasks. Designed for software engineers, DevOps professionals, platform engineers, and AI enthusiasts, this course explores how autonomous coding agents can accelerate software delivery by helping with code generation, testing, debugging, deployment, and workflow automation.
Students will learn about AI agent architecture, rapid engineering, CI/CD integration, automated code review, intelligent testing, deployment pipelines, and best practices for incorporating AI into enterprise software development. The main focus of this course is on context engineering, one of the most critical disciplines in modern AI software development. You will learn how to optimize context windows, prioritize relevant information, compress large repositories, manage project memory, retrieve critical files, and provide agents with exactly the information they need to produce accurate, efficient, and maintainable code. One of the highlights of this course is an in-depth look at the Model Context Protocol (MCP).
What you will learn in Harness Engineering Masterclass: AI Coding Agents:
- Apply context engineering and rapid engineering techniques to improve the accuracy, reliability, and efficiency of AI coding agents.
- Understand the complete agent execution loop, including planning, tool invocation, execution, verification, reflection, and retry strategies.
- Configure and optimize AI coding environments using project rules, memory, permissions, hooks, skills, and reusable workflows.
- Create integrations with the Model Context Protocol (MCP) to connect AI agents to external tools, databases, browsers, Git repositories, and enterprise services.
- Design and orchestrate multi-agent systems where AI expert agents collaborate on planning, development, testing, documentation, and security tasks.
- And…
Course specifications
Publisher: Udemy
Instructors: Data Science Academy and School of AI
Language: English
Level: Introductory to Advanced
Number of Lessons: 37
Duration: 9 hours and 25 minutes
Course topics
Harness Engineering Masterclass: AI Coding Agents Prerequisites
No prior experience with Harness Engineering or AI coding agents is required. Everything is explained step by step.
A basic understanding of software development or programming concepts is helpful but not mandatory.
A computer running Windows, macOS, or Linux with internet access.
Willingness to install and experiment with AI development tools such as Claude Code, OpenAI Codex CLI, and Gemini CLI.
A code editor or IDE, such as Visual Studio Code, is recommended for the hands-on exercises.
Pictures
Harness Engineering Masterclass: AI Coding Agents introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
1.8 GB