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Duration 14 hours
Course Outline
Prompt Engineering and Optimization
- Structuring prompts to achieve specific objectives
- Incorporating examples, roles, and formatting techniques into prompts
- Refining outputs through iterative improvement cycles
Integrating ChatGPT with Productivity Tools
- Linking ChatGPT to Google Workspace applications
- Embedding ChatGPT into Microsoft 365 workflows
- Automating the generation of meeting minutes and reports
ChatGPT in Agile and Project Environments
- Developing user stories and defining acceptance criteria
- Aiding in backlog refinement and technical documentation
- Supporting sprint planning and retrospective reviews
Collaborative Workflows with AI
- Establishing shared repositories for AI knowledge
- Implementing team-based prompting strategies and version control
- Enhancing internal communication through AI assistance
AI for Content and Communication
- Drafting professional correspondence and internal memos
- Generating marketing materials or instructional content
- Polishing tone, structure, and clarity using ChatGPT
Workflow Automation with AI
- Merging ChatGPT with dedicated automation tools
- Building task pipelines for recurring business processes
- Deploying lightweight chatbots for internal support functions
Hands-on Practice and Real-World Scenarios
- Utilizing ChatGPT as a digital personal assistant
- Creating reusable prompt templates for team adoption
- Validating AI-generated content for accuracy and relevance
Summary and Next Steps
Requirements
- A solid grasp of ChatGPT’s fundamental functionalities
- Practical experience with prompt engineering and AI-assisted activities
- Working knowledge of common business productivity applications
Target Audience
- Administrative and support professionals
- Software developers and technical team members
- Project managers leveraging productivity tools
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.