OneRange

Claude for Developers: Mastery — Building with the API & Agents

Build production systems on the Claude API: the Messages API, images and documents as input, streaming, tool use, agents, MCP in your own apps, guardrails enforced in code, evaluating quality, and cost, caching and rate limits. Ends with a production-ready agent

What this course covers

The course runs across 10 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.

  • The Messages API — Roles, system prompts, parameters and response handling
  • Images and documents as input — Send images and PDFs and extract structured data
  • Streaming — Stream responses and handle partial output and errors
  • Tool use — Define tools, run the tool loop and return results
  • Building agents — Agent loops, stopping conditions and state
  • MCP in your own apps — Use MCP servers from your own application
  • Guardrails in code — Enforce business rules in code before and after the model, not just in prompts
  • Evaluating quality — Build a small eval set and measure regressions
  • Cost, caching and rate limits — Prompt caching, batching, retries and backoff
  • Capstone: a production-ready agent — Ship a tool-using agent with guardrails, evals and a cost note

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.

Who it is for

Software developers and technical builders. The material is pitched at expert 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 code lab, guided 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.

Also in this track

  • All Claude training courses →
  • Claude Cowork: Mastery — Plugins, Governance & Rollout — Lead Cowork across an organization. Learners build and share plugins, run skill libraries, evaluate connectors, set governance and approval policies, roll Cowork out function by function, monitor usage and outcomes, and handle incidents — finishing with a plugin and rollout plan for a real team.
  • Claude Code for Developers: Mastery — Automating Engineering with Claude Code — The expert level for engineers who run Claude Code for a whole team: share settings, skills and subagents through the repository, enforce policy with managed settings and hooks, package and distribute plugins through a team marketplace, run Claude Code headless and in GitHub Actions with least privilege, build on it with the Agent SDK, defend against prompt injection, and measure cost and quality from real runs. Ends with an automated team workflow capstone.
  • Claude Code for Everyone: Mastery — Owning Team Tools — The expert level for business builders whose Claude Code tools other people now depend on, built on the 4Ds of AI fluency: Delegation, Description, Discernment and Diligence. Learners decide what belongs in Claude Code, in Claude chat or with engineers, write specs Claude Code and an engineer can both follow, run a small portfolio of tools with saved skills and schedules, review what Claude Code produces, and work with IT on data, access and approved settings. They finish by measuring impact honestly and leading adoption on their team. No code.
  • Claude: Mastery — Leading Work with Claude — The expert level for experienced Claude users in any role, built on the 4Ds of AI fluency: Delegation, Description, Discernment and Diligence. Choose the right Claude approach for each job, supervise Claude when it acts, package your expertise as Skills, build team tools with Artifacts, check numbers, handle sensitive data, write specs others can build, measure impact and lead adoption on your team. For experienced Claude users in any business role, no technical background needed. Developers should take the Claude Mastery: Developer Track instead. No code
  • Claude Code for Everyone: Advanced — Multi-Step Tools & Agents — The advanced level for non-technical builders whose Claude Code tools now have several steps and real users. Learners plan before building, break a bigger tool into steps they can check, write CLAUDE.md rules in plain language, undo safely, connect work apps with approvals, let Claude Code test its own work, hand work off to the cloud or a schedule where their plan allows, choose how much it may do without asking, and keep secrets and company data out. No code.
  • Claude Code for Developers: Mastery Exam — A Claude Code proficiency check for engineers: scoping a change, reviewing what the model produced, and knowing what to hand over and what to write yourself.
  • Become an AI Builder — Technical foundation to build AI applications
  • Build & Ship AI Agents — Design, build, and operate agentic systems

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-DEV-301.