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Duration 7 hours
Course Outline
Module 1 – Introduction to Claude and Prompt Engineering Fundamentals (~1h15)
- What is Claude and how large language models (LLMs) function
- Claude's strengths, limitations, and selecting the appropriate model
- Confidentiality, security, and responsible AI usage
- Structuring prompts: context, objectives, roles, and output formats
- Iterative prompting and reusable prompt templates
Practical Exercise: Exploring the Claude interface and creating prompts for emails, summaries, and business documents.
Module 2 – Claude for Business Productivity
- Drafting and editing documents
- Generating reports, meeting summaries, and action plans
- Researching and synthesising information
- Working with files, spreadsheets, and structured data
- Utilising Claude Artifacts
Practical Exercise: Processing real-world business documents and datasets using Claude.
Module 3 – Claude Projects
- Creating and organising Claude Projects
- Knowledge bases and project instructions
- Reusable business assistants and consistency in recurring tasks
Practical Exercise: Creating a customised Claude Project tailored to each participant's role.
Module 4 – AI Agents: Concepts and Functionality
- What is an AI agent: assistants vs. workflows vs. agents
- Business value and common use cases
- How an agent works: objectives, instructions, context, inputs, and outputs
- Human oversight and validation
- Identifying processes suitable for automation
Instructor Demonstration: Following an AI agent from request to task completion.
Module 5 – AI Agent Design Workshop with Claude
- Designing AI agents in natural language, without coding
- Defining business objectives and success criteria
- Mapping inputs, outputs, and decision points
- Testing and refining the design; common mistakes to avoid
- Next steps for implementing AI agents after the course
Requirements
No prior experience or knowledge of Claude is required.
