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.
What this course covers
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.
The course runs across 8 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.
- Navigating the Claude Interface and Selecting Models — An introduction to the Claude user interface, understanding the differences between the current model families (Haiku, Sonnet, Opus), and selecting the right model for specific tasks.
- Foundations of Prompting in Claude — Learn the core principles of writing effective prompts for Claude, including providing clear context, setting persona, and using XML tags to structure inputs.
- Advanced Prompting: Few-Shot Prompting and Chain of Thought — Practice advanced prompting techniques by giving Claude examples (few-shot prompting) and guiding it to think step-by-step for complex reasoning tasks.
- Working with File Uploads and Context — Learn how to upload documents, data files, and code to Claude. Practice extracting key information, summarizing long texts, and querying complex data sources.
- Organizing Work with Claude Projects — Understand how to set up Projects, define custom system instructions for a project, upload a shared knowledge base, and collaborate within a structured workspace.
- Generating and Iterating with Artifacts — Enable and use Artifacts to generate, view, and refine standalone content like code, websites, SVGs, and documents in a dedicated side-by-side window.
- Building Interactive Prototypes in Artifacts — A hands-on exercise using Artifacts to build and instantly preview a functional interactive tool or dashboard based on your custom prompt requirements.
- Putting It All Together: Real-World Workflow Automation — Synthesize your skills in a final capstone lab: create a Project, upload reference files, use advanced prompting to analyze the data, and generate a final interactive Artifact report.
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 Prompt Crafting, Working with AI Tools, AI Literacy, Large Language Models (LLMs), Chain-of-Thought Prompting, Generative AI Concepts, Prompt Engineering, AI Tool Usage.
- Prompt Crafting
- Working with AI Tools
- AI Literacy
- Large Language Models (LLMs)
- Chain-of-Thought Prompting
- Generative AI Concepts
- Prompt Engineering
- AI Tool Usage
Who it is for
All employees. The material is pitched at beginner level, and takes roughly 120 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 lab 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
- Browse the full Vero AI Catalog
- How the OneRange platform assesses and measures skill
- What OneRange Vero is
Course code TUL-CLA-101.