Executives and business leadersClaude for Leaders: Adopting Claude Responsibly
Duration: Half day (proposed) · Format: Workshop, on site or live online
Who it is for
Sponsors and senior managers deciding where Claude fits.
Prerequisites
Familiarity with your organisation's AI ambitions. No technical background needed.
Learning outcomes
- Judge which work suits Claude and which does not
- Set usage principles, ownership and review expectations
- Define simple measures of value and risk
Curriculum
- What Claude can and cannot reliably do
- Use-case selection and prioritisation
- Roles, policy and acceptable use
- Rollout approach and measuring adoption
Hands-on exercise
Rank your own candidate use cases against a value-and-risk grid.
Takeaway materials
- Decision checklist for approving AI use cases
- One-page adoption roadmap template
- Board-level briefing outline
Completion outcome
ArniTech completion certificate (not a vendor certification).
Risk, compliance and security professionalsGoverning Claude: Data Handling, Controls and Prompt Governance
Duration: 1 day (proposed) · Format: Workshop with case exercises
Who it is for
Security, privacy, risk and compliance reviewers.
Prerequisites
Working knowledge of your organisation's risk, security or compliance processes. No coding needed.
Learning outcomes
- Map Claude usage to your data classification and policies
- Review prompts, system instructions and outputs as controlled assets
- Specify logging, access and incident expectations
Curriculum
- Data flows for apps and API usage
- Prompt and system-instruction change control
- Misuse, prompt injection and output risks
- Evidence and monitoring for audit
Hands-on exercise
Review a sample Claude use case and complete a control-mapping worksheet.
Takeaway materials
- Control-mapping worksheet
- Review checklist for AI use cases
- Evidence examples to request from delivery teams
Completion outcome
ArniTech completion certificate (not a vendor certification).
Engineers, architects and technical teamsBuilding with the Claude API: Secure Patterns and Evaluation
Duration: 2 days (proposed) · Format: Hands-on lab course, live online or on site
Who it is for
Developers and architects building Claude-powered features.
Prerequisites
Comfortable with APIs, cloud fundamentals and at least one programming language. A sandbox account is arranged with you before the course.
Learning outcomes
- Design prompts and structured outputs for reliable behaviour
- Apply secure patterns: key handling, least privilege tools, input and output checks
- Build an evaluation set and a release gate
Curriculum
- API fundamentals and message design
- Tool use and retrieval patterns
- Prompt versioning and evaluation harness
- Security: injection, secrets, data minimisation
- Monitoring and cost awareness
Hands-on exercise
Build a small assistant, then test it against your own evaluation set.
Takeaway materials
- Reference architecture notes
- Annotated code samples from the labs
- Evaluation and release checklist
Completion outcome
ArniTech completion certificate (not a vendor certification).
Business users and functional teamsWorking Effectively with Claude
Duration: Half day (proposed) · Format: Interactive workshop
Who it is for
Staff in functions such as operations, finance, HR, legal support and marketing.
Prerequisites
None beyond access to the relevant tool (or a demonstration environment we provide).
Learning outcomes
- Write clear prompts and iterate on results
- Check Claude's output before relying on it
- Handle confidential information correctly
Curriculum
- How to give context, examples and constraints
- Drafting, summarising and analysis tasks
- Verifying and correcting outputs
- What never goes into a prompt
Hands-on exercise
Redo three of your own real tasks with Claude and compare results.
Takeaway materials
- Prompt and task pattern library for your functions
- Do and don't guide for sensitive data
- Quick-reference card
Completion outcome
ArniTech completion certificate (not a vendor certification).
