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Duration 14 hours
Course Outline
- Day 1: Understanding Claude and Applying It in Daily Work
- Arrival and Setting Objectives
- Assessing each participant’s current status and available licenses
- Each participant selects one use case to develop over the two days
- Overview of Claude’s current capabilities and limitations
- Exercise: Document your use case on a card, specifying the goal, input materials, and desired outcome.
- Fundamentals of Language Models
- Understanding tokens and context windows: how much text a model processes simultaneously
- Why identical queries may yield different responses
- How models can hallucinate details and strategies to mitigate this
- Comparison matrix of Haiku, Sonnet, and Opus models based on quality, speed, and usage limits
- Determining when Claude, Copilot, or ChatGPT is the more appropriate choice
- Exercise: Execute the same task with two different models and compare the results in terms of quality and speed.
- Effective Instructions and Context
- Key components of a robust prompt: role, task, context, examples, format, and constraints
- Enabling Claude to ask clarifying questions before execution
- Summarizing and comparing lengthy documents and requesting specific supporting passages
- Integrating review checkpoints directly into instructions
- Exercise: Refine a weak prompt from your daily work through three iterations and compare the versions side-by-side.
- Projects as Shared Memory
- Organizing project instructions and knowledge files effectively
- Centrally storing house styles, product knowledge, and templates
- Distinguishing between team and private areas to keep sensitive data separate
- Verifying, correcting, and disabling memory when necessary
- Exercise: Create a project for your use case, including a main instruction and three knowledge files.
- Artifacts, Files, and Analysis
- Generating reports, tables, charts, and presentation drafts as artifacts
- Querying and comparing Excel, PDF, and Word files
- Using analysis tools to calculate figures and performing spot-checks
- Exporting, publishing, and sharing artifacts within the team
- Exercise: Create an analysis including a chart and a brief commentary based on an anonymized Excel list.
- Day 1 Outcome: Each participant will have a configured project for their use case, two improved templates, and an initial artifact built from real materials.
- Arrival and Setting Objectives
- Day 2: Enhancing Claude with Skills, Connectors, Cowork, and Routines
- The Ecosystem at a Glance
- Platforms: Chat, desktop app, Claude in Chrome, Cowork, and Claude Code
- Definitions of skills, connectors, MCP, and routines
- Simple explanation of agents: workflows combining AI and tools
- Live demonstration from concept to a finished skill
- Exercise: Map your use case to the appropriate layer and justify your choice.
- Creating the First Custom Skill
- Structuring skills with descriptions, application scenarios, workflows, examples, and templates
- Co-authoring and refining skills with Claude
- Testing skills with three real-world cases
- Sharing and maintaining skills within the team
- Exercise: Each participant builds a skill for their specific use case, such as drafting replies in house style or generating a review report.
- Connectors and Integrated Services
- Linking Microsoft 365 or Google Workspace, file storage, and calendars
- Maintaining minimal and deliberate permission sets
- Identifying hidden instructions in emails and documents (prompt injection risks)
- Exercise: Connect a service and execute a task spanning mailbox and calendar, such as preparing for an upcoming appointment.
- Claude Cowork and Routines
- Delegating tasks rather than chatting, with access to approved folders
- Monitoring plans, tracking progress, and reviewing interim results
- Scheduling tasks, such as daily overviews or weekly reports
- Implementing approval gates before any data is sent or deleted
- Exercise: Configure a routine for a daily overview and evaluate the first execution together.
- Team Guidelines and the Next 30 Days
- Policies on what data can and cannot be uploaded
- Maintaining shared skills and projects and assigning responsibilities
- Distributing a model matrix and reference sheet as a handout
- Exercise: Draft a personal 30-day plan with three concrete steps.
- Day 2 Outcome: Each participant will leave with a working skill, an active connector, a configured routine, and a 30-day plan.
- The Ecosystem at a Glance
Requirements
- A laptop with an up-to-date browser, a Claude account (Pro, Team, or Enterprise), the Claude desktop app (recommended), and a specific use case from your daily work.
- No programming experience is required.
Target Audience
- Professionals in administration, finance, purchasing, HR, project management, and process management who are using or introducing Claude in their companies and wish to advance beyond basic chat interactions.
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt
