AI Private

AI as a Coding Partner (DEVAI102)

3 hours
AI

AI as a Coding Partner is for people who want to move beyond simple AI prompts and learn how to work with AI tools more effectively while building apps and websites.

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  • Private class for your team
  • Live expert instructor
  • Online or on‑location
  • Customizable agenda
  • Proposal responses same day as request
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Course Overview

AI as a Coding Partner is for people who want to move beyond simple AI prompts and learn how to work with AI tools more effectively while building apps and websites. The course shows students how to use chat-based tools and agentic coding assistants such as Claude Code, ChatGPT, Codex, and GitHub Copilot as practical partners for planning, creating, reviewing, and improving code.

Students will learn how to give AI better context, ask more precise questions, guide an AI assistant through small development tasks, and use AI to review and debug existing work. By the end of the course, students will be better prepared to collaborate with AI coding tools, catch mistakes, improve results, and use AI support more confidently throughout the development process.

Course Benefits

  • Understand the difference between chat-based AI workflows and agentic coding assistant workflows.
  • Use tools such as Claude Code, ChatGPT, Codex, and GitHub Copilot to support app and website development tasks.
  • Write clearer, more precise prompts that help AI tools produce more useful results.
  • Guide an AI assistant through a small feature-building cycle from request to refinement.
  • Use AI to review existing code and suggest improvements.
  • Provide AI with the right context to help troubleshoot bugs and explain possible fixes.
  • Check AI-generated changes through verification and regression review before relying on the results.

Delivery Methods

Private Class
Delivered for your team at your site or online.

Course Outline

  1. Chat and Agent Workflows
    1. Chat Workflow Patterns
    2. Agentic Workflow Patterns
    3. Precision Prompting
    4. Prompt Tuning Lab
    5. Agentic Mini-Feature Cycle
  2. AI as Reviewer and Debugger
    1. Review Prompt Patterns
    2. Debugging with Context
    3. Verification and Regression Checks
    4. Review and Refine Existing Code
    5. Bug Reproduction and Fix Validation

Class Materials

Each student receives a comprehensive set of materials, including course notes and all class examples.

Class Prerequisites

Experience in the following would be useful for this AI class:

Students should be familiar with setting up and using AI coding assistants, writing basic prompts, reviewing AI-generated output, and creating or refining simple webistes or applications with chat-based AI support.

Prerequisite Courses

Courses that can help you meet these prerequisites:

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