OneRange Vero

Claude Advanced: Projects, Artifacts & Claude Code

An advanced course for using Claude on complex, repeatable, and technical work. Learners apply custom instructions, build interactive Artifacts, use Claude Code, and connect tools through MCP for long-context workflows. The outcome is the ability to run sophisticated, multi-step work in Claude.

What this course covers

An advanced course for using Claude on complex, repeatable, and technical work. Learners apply custom instructions, build interactive Artifacts, use Claude Code, and connect tools through MCP for long-context workflows. The outcome is the ability to run sophisticated, multi-step work in Claude.

The course runs across 12 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

  • System Prompting & Advanced Custom Instructions — Learn to structure global system prompts and custom instructions to enforce specific coding standards, architectural patterns, and communication styles across Claude Projects.
  • Managing Context in Claude Projects — Master Project Knowledge bases. Learn strategies for organizing files, updating documentation, and curating context to avoid context window clutter and maximize reasoning quality.
  • Building Advanced, Interactive Artifacts — Design and refine self-contained React components, interactive dashboards, and visual simulations directly within the Claude UI using iterative prompting.
  • Artifact State Management and Integration — Learn how to prompt Claude to manage state, simulate backend APIs, and export clean, production-ready code from the Artifacts interface.
  • Getting Started with Claude Code CLI — Install, configure, and authenticate the Claude Code agentic CLI. Understand the basic command structure and permission model for local file operations.
  • Agentic Workflows with Claude Code — Execute complex refactoring, bug search, and automated test generation across a local repository using Claude Code's autonomous agent capabilities.
  • Understanding the Model Context Protocol (MCP) — Explore the architecture of MCP. Understand how host applications, clients, and servers communicate to securely share data and execute tools.
  • Configuring MCP Servers and Connectors — Connect Claude Desktop and Claude Code to external data sources and developer tools (GitHub, Postgres, local filesystems) using pre-built MCP servers.
  • Building a Custom MCP Server — Develop and run a simple custom MCP server to expose a proprietary API or database directly to Claude's reasoning engine.
  • Long-Context Reasoning and Retrieval Strategies — Techniques for working with 200k+ tokens. Learn 'needle-in-a-haystack' prompt structures, XML tagging for data segmentation, and minimizing retrieval latency.
  • Multi-Step Workflow Automation — Chaining Claude, Claude Code, and MCP together to automate end-to-end tasks like dependency upgrades, code migration, or automated code reviews.
  • Capstone Lab: The Autonomous Developer Workflow — Apply all course concepts to initialize a project, connect it to live data via MCP, build a frontend UI in Artifacts, and refine it locally using Claude Code.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to Chain-of-Thought Prompting, Prompt Engineering, AI Tool Usage, Working with AI Tools.

  • Chain-of-Thought Prompting
  • Prompt Engineering
  • AI Tool Usage
  • Working with AI Tools

Who it is for

Power users, engineers, analysts. The material is pitched at intermediate level, and takes roughly 180 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Tool: Claude track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, code lab exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a code assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Related

Course code TUL-CLA-201.