OneRange

Claude: Core — 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

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 exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a tool 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.

Also in this track

  • All Claude training courses →
  • Claude Code: Core — A standalone essentials course for Claude Code, the agentic coding tool. Learners drive real coding tasks from the terminal - context setup, multi-file edits, test runs - while keeping human review in the loop.
  • Claude Cowork: Core — Connectors, Skills & Scheduled Tasks — Move from single tasks to connected work. Learners plug Cowork into email, calendar, documents, chat and CRM tools, use ready-made skills and plugins for their role, drive websites through the browser, schedule recurring work, and assign tasks from anywhere — while handling actions in live systems responsibly.
  • Claude: Essentials — A practical introduction to getting real work done with Claude. Learners navigate the interface and models, write effective prompts, organize work in Projects, and create documents and apps with Artifacts. By the end they can confidently use Claude for everyday writing, analysis, and research.
  • Claude: Essentials — Data & Analysis Playbook — A focused, 30-minute playbook for doing data and analysis work in Claude. Learners run real tasks end to end - data cleanup, analysis, charts, and interpretation - and leave with repeatable workflows they can use the same day.
  • Claude Cowork: Essentials — A practical introduction to getting real work done with Claude Cowork. Learners connect folders, set the right permission mode, describe outcomes instead of steps, and produce finished documents, spreadsheets and research from their own files — while learning to review, correct and stay in control.
  • Claude Essentials Proficiency — Measures whether someone can frame a long piece of work for Claude, give it the right source material, and judge the answer that comes back.
  • Claude Mastery — Complete fluency in Claude from first touch to building
  • AI-Augmented Software Engineering — Ship better code faster with AI assistance

Related

Frequently asked questions

How long does this course take?

It runs 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.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. 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.

Course code TUL-CLA-201.