Course Outline
Foundational Level – Grasping AI Concepts and Initiating ChatGPT Use
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI) in the modern context.
- Exploring core concepts such as machine learning, deep learning, and natural language processing.
- Examining practical AI applications within corporate and daily life settings.
Large Language Models (LLMs) and the ChatGPT Ecosystem
- Demystifying the operational mechanics of LLMs.
- Reviewing ChatGPT's core capabilities and features.
- Comparing different ChatGPT versions and their respective distinctions.
Initiating Your ChatGPT Journey
- Navigating the interface and accessing ChatGPT functionalities.
- Understanding the relationship between prompts, generated responses, and model context.
- Formulating initial prompts: exploring basic use cases and recognizing limitations.
Applying ChatGPT to Routine Tasks
- Leveraging ChatGPT for drafting, summarizing content, and generating ideas.
- Producing templates, professional emails, and reports using AI assistance.
- Utilizing ChatGPT to support scheduling and communication management.
Ethical Standards and Best Practices
- Navigating issues of bias, data privacy, and ethical responsibility.
- Calibrating expectations regarding output accuracy and the need for verification.
- Practical exercise: Simulating AI-assisted decision-making scenarios.
Intermediate Level – Enhancing Productivity via ChatGPT
Prompt Engineering and Refinement
- Structuring prompts to achieve consistent and predictable results.
- Effectively utilizing examples, role definitions, and constraints.
- Iteratively improving and polishing ChatGPT outputs.
Integrating ChatGPT with Productivity Suites
- Linking ChatGPT with Google Workspace components (Docs, Sheets, Gmail).
- Connecting ChatGPT to Microsoft 365 tools (Word, Excel, Teams).
- Automating document creation, meeting note-taking, and task monitoring.
Utilizing AI in Agile and Technical Processes
- Generating and polishing user stories and acceptance criteria.
- Drafting sprint documentation and retrospective summaries.
- Supporting backlog grooming and effort estimation tasks.
Collaborative AI Workflows
- Facilitating team-based prompting and feedback loops.
- Establishing a shared repository for AI knowledge and best practices.
- Group exercise: Simulating real-world tasks with AI assistance.
Practical Application and Scenarios
- Using ChatGPT as a virtual meeting assistant.
- Leveraging ChatGPT as a writing and communication coach.
- Employing ChatGPT as a brainstorming partner for process optimization.
Advanced Level – Customization, System Integration, and Governance
AI in Development and Data-Driven Projects
- Generating and refactoring code with the aid of ChatGPT.
- Utilizing ChatGPT for API documentation and creating testing scripts.
- Applying ChatGPT to support SQL query creation and data analysis.
Customizing and Expanding ChatGPT Capabilities
- Developing Custom GPTs tailored to specific organizational needs.
- Leveraging plugins and integrations to broaden functionality.
- Exploring the OpenAI API for advanced automation and workflow design.
Security, Ethics, and Organizational Governance
- Formulating corporate policies for AI usage.
- Ensuring data security and responsible implementation of AI technologies.
- Adhering to privacy laws and regulatory compliance standards.
Engineering AI-Driven Solutions
- Designing productivity dashboards powered by AI.
- Connecting ChatGPT to enterprise systems through API integrations.
- Implementing automation for reporting, data validation, and analytical tasks.
Capstone Project: AI in Practice
- Identifying a specific organizational challenge.
- Designing and deploying an AI-based solution utilizing ChatGPT.
- Presenting the solution and incorporating peer feedback.
Course Recap and Future Directions
Requirements
- Basic proficiency in general computer navigation and usage
- Experience working with text-centric applications or office suites
- Awareness of digital collaboration platforms
Target Participants
- Administrative specialists
- Technical personnel
- 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.
