Course Outline
Beginner Level – Grasping AI Fundamentals and Starting with ChatGPT
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI)
- Core concepts: machine learning, deep learning, and natural language processing
- Practical AI applications in corporate settings and daily life
Large Language Models (LLMs) and ChatGPT
- How LLMs function and operate
- An overview of ChatGPT’s primary capabilities
- Comparing different ChatGPT versions and their distinct features
Getting Started with ChatGPT
- Accessing the platform and navigating the user interface
- Understanding the relationship between prompts, responses, and model context
- Building initial prompts: exploring basic applications and recognizing limitations
Practical Applications for Daily Tasks
- Leveraging ChatGPT for writing, summarization, and brainstorming
- Drafting templates, emails, and reports using AI assistance
- Utilizing ChatGPT for scheduling and communication support
Responsible Usage and Best Practices
- Navigating issues of bias, data privacy, and ethical considerations
- Calibrating expectations regarding accuracy and the need for verification
- Practical exercises: enhancing decision-making with AI assistance
Intermediate Level – Enhancing Productivity with ChatGPT
Prompt Engineering and Optimization
- Structuring prompts to achieve consistent and predictable results
- Effectively employing examples, role assignments, and constraints
- Refining ChatGPT outputs through iterative feedback loops
Integrating ChatGPT with Productivity Suites
- Connecting ChatGPT to Google Workspace (Docs, Sheets, Gmail)
- Integrating with Microsoft 365 (Word, Excel, Teams)
- Automating document creation, meeting notes, and task management
Applications in Agile and Technical Environments
- Generating and polishing user stories and acceptance criteria
- Drafting sprint documentation and retrospective reports
- Supporting backlog refinement and task estimation processes
Collaborative AI Workflows
- Implementing team-based prompting strategies and feedback mechanisms
- Developing a shared repository of AI knowledge and prompts
- Group simulations: applying AI to realistic task scenarios
Hands-on Practice and Specific Use Cases
- Using ChatGPT as a digital meeting assistant
- Leveraging ChatGPT as a writing coach for style and clarity
- Partnering with AI for process improvement and brainstorming
Advanced Level – Customization, Integration, and Governance
AI in Development and Data Projects
- Generating and refactoring code with AI assistance
- Drafting API documentation and testing scripts
- Supporting SQL query generation and data analysis
Customizing and Extending ChatGPT Capabilities
- Building Custom GPTs tailored to specific organizational needs
- Utilizing plugins and integrations to expand functionality
- Leveraging the OpenAI API for automated workflows
Security, Ethics, and Governance Frameworks
- Developing corporate policies for AI usage
- Ensuring data security and implementing responsible AI practices
- Maintaining compliance with privacy regulations and standards
Constructing AI-Driven Solutions
- Designing productivity dashboards powered by AI
- Connecting ChatGPT to enterprise systems via APIs
- Automating complex tasks such as reporting, data validation, and analysis
Capstone Project: AI in Practice
- Identifying a specific organizational challenge
- Designing and deploying an AI-based solution using ChatGPT
- Presenting findings and receiving peer evaluations
Summary and Future Directions
Requirements
- Proficiency in general computer operations
- Practical experience with text-based software or office applications
- Familiarity with digital collaboration platforms
Target Audience
- Administrative professionals
- Technical team members
- Project managers and software developers
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
