Advanced Context Engineering with Claude Code
Course description
The quality of an artificial intelligence response directly depends on the quality of the input data. "Context engineering" is the professional practice of precisely providing the information necessary for AI to achieve reliable and predictable results. In this course, you will master the tools and techniques that allow you to fully control the context of your AI's work. We will use the entire arsenal of "developer equipment" - shell pipelines, templating engines, custom plugins, strict output schemas, and much more. Stop relying on guesses - start professionally designing interactions with AI for automation at industry standard levels.
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All Course Lessons (5)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Pipe, Redirect, and Automate AI Output in the Terminal Demo | 01:05 | |
| 2 | Build up Reusable Claude Code Workflows with Dynamic Prompt Templating using Gomplate | 01:57 | |
| 3 | Control the Exact Context You Give Claude Code with Repomix and Gomplate Plugins | 03:14 | |
| 4 | Run Gomplate Prompt Templating against gpt-oss:20b Locally with Ollama | 01:54 | |
| 5 | Enforcing Structured Output with JSON Schema and Zod in Claude Code workflows | 04:36 |
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