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Duration 7 hours
Course Outline
Introduction
- Understanding Claude at an organizational level: interactions, Projects, Skills, and Artifacts
- Selecting the appropriate feature for specific business tasks
- Foundations of data handling and identifying sensitive information that should not be uploaded
Projects
- Defining project instructions and integrating knowledge files
- Organizing context to optimize team collaboration
- Practical session: constructing a project for a real-world team process
- Managing sharing permissions and ensuring content remains up-to-date
Skills
- Defining Skills and understanding when they are superior to extensive prompts
- Composing Skills: crafting instructions, examples, and associated resources
- Validating Skills against actual use cases
- Practical session: encapsulating a recurring task into a reusable Skill
Artifacts
- Generating documents, tables, web pages, and lightweight tools as Artifacts
- Refining outputs through iterative feedback loops
- Practical session: converting a raw spreadsheet into a comprehensive report with visualizations
Analysis and Quality Assurance
- Processing and analyzing files and tabular data
- Verifying numerical accuracy, source integrity, and logical consistency
- Identifying common error patterns and strategies to detect them
Team Implementation
- Establishing naming standards, version control, and ownership for shared assets
- Mentoring colleagues and gathering feedback for continuous improvement
- Creating a 30-day action plan for successful adoption
Requirements
- Familiarity with using a chat-based AI assistant
- Proficiency in standard office tools, including document processing, spreadsheets, and email
- No coding or programming background is necessary
Target Audience
- Business teams and department leaders seeking to disseminate knowledge and standardized methods via Claude
- Knowledge professionals in sectors such as finance, human resources, marketing, sales, and operations
- Team coordinators and internal AI advocates
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
