If you want to move beyond basic prompts and start building reliable, high-value workflows with AI, structured learning matters. The tutorials on Claude’s resource hub are designed to take you from quick wins to more advanced, operational use cases across engineering, finance, healthcare, HR, life sciences, marketing, sales and professional services.
Rather than abstract theory, the focus is practical application. Written guides and video lessons walk through real scenarios, product features and repeatable processes. Whether you are testing Claude for the first time or embedding it into day-to-day operations, the library is organised to support progressive skill development.
What You Can Expect
The tutorial library is filterable by:
- Category: Engineering, Finance, Healthcare, HR, Life Sciences, Marketing, Nonprofits, Professional, Sales
- Feature or Product focus
- Searchable topics for specific workflows
- Grid or list view for navigation preference
Content ranges from foundational setup to deeper feature utilisation. Examples include:
- Getting started with Claude.ai
- Applying Claude Opus 4.5 and 4.6 to everyday work
- Using skills to teach Claude your way of working
- GitHub integration for engineering teams
- Claude in Excel for finance and HR use cases
- Visualising and building AI apps using artifacts
- Industry-specific onboarding such as financial services and life sciences
The structure makes it easier to identify tutorials aligned to your role, technical maturity and business objective.
Our top 3 picks
1. Getting Started with Claude.ai
This is the foundational walkthrough. It covers core interface mechanics, prompt structuring, document handling and early workflow optimisation.
Why it matters: Before building complex systems, you need clarity on how Claude interprets instructions, manages context and handles iterative refinement. This tutorial establishes that baseline.
Best for: Teams introducing Claude across departments who need a shared operational understanding.
2. Teach Claude Your Way of Working Using Skills
This guide explains how to encode repeatable behaviours into Claude using “skills”. Rather than rewriting detailed instructions each time, you standardise them.
Why it matters: Skills shift usage from ad-hoc prompting to process-driven execution. That is the difference between experimentation and operational integration.
Best for: Agencies, consultants and structured teams with defined methodologies, QA processes or brand frameworks.
3. Getting Started with Claude in Excel
Excel remains mission-critical in many organisations. This tutorial demonstrates how Claude integrates directly into spreadsheet workflows.
Why it matters: For finance, operations and HR teams, this lowers the barrier to AI adoption. Users stay in familiar tooling while gaining advanced analysis and automation capabilities.
Best for: Non-technical professionals who want measurable productivity gains without new infrastructure.