Course Outline
Beginner Track: AI Foundations and ChatGPT Onboarding
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI) and its scope.
- Core concepts: exploring machine learning, deep learning, and natural language processing.
- Examining real-world AI implementations in corporate and daily contexts.
Large Language Models (LLMs) and the ChatGPT Ecosystem
- Analyzing the operational mechanics of LLMs.
- Surveying ChatGPT’s core capabilities and features.
- Distinguishing between various ChatGPT versions and their unique attributes.
Initiating Your ChatGPT Journey
- Accessing the platform and mastering interface navigation.
- Comprehending the dynamics of prompts, model responses, and context windows.
- Constructing initial prompts: exploring basic scenarios and inherent constraints.
Practical Applications for Daily Operations
- Leveraging ChatGPT for drafting, summarizing content, and idea generation.
- Producing templates, professional emails, and structured reports.
- Utilizing ChatGPT to support scheduling logistics and communication management.
Ethical Usage and Best Practices
- Navigating issues of bias, data privacy, and ethical responsibilities.
- Calibrating expectations regarding output accuracy and the need for verification.
- Practical exercises focused on AI-assisted decision-making processes.
Intermediate Track: Enhancing Productivity with ChatGPT
Prompt Engineering and Optimization Strategies
- Designing structured prompts to achieve consistent and predictable results.
- Effective use of examples, role assignments, and operational constraints.
- Iteratively refining prompts to optimize ChatGPT response quality.
Integrating ChatGPT with Productivity Suites
- Linking ChatGPT with Google Workspace components (Docs, Sheets, Gmail).
- Embedding ChatGPT into Microsoft 365 environments (Word, Excel, Teams).
- Automating routine tasks such as document creation, meeting notes, and task tracking.
Applications in Agile and Technical Environments
- Formulating and refining user stories and acceptance criteria.
- Drafting sprint documentation and conducting retrospective analyses.
- Supporting backlog refinement and task estimation processes.
Collaborative AI Workflows
- Implementing team-based prompting strategies and feedback loops.
- Constructing a shared repository of AI knowledge and best practices.
- Group exercises: simulating real-world tasks with AI assistance.
Practical Workshops and Use Cases
- Deploying ChatGPT as a virtual meeting assistant.
- Utilizing ChatGPT as a writing coach and editor.
- Partnering with ChatGPT for process improvement brainstorming.
Advanced Track: Customization, Integration, and Governance
AI in Development and Data-Driven Projects
- Generating and refactoring code structures with ChatGPT.
- Utilizing ChatGPT for API documentation and script testing.
- Applying ChatGPT to SQL queries and data analysis support.
Customizing and Extending ChatGPT Capabilities
- Developing Custom GPTs tailored for specific organizational needs.
- Leveraging plugins and third-party integrations for expanded functionality.
- Exploring the OpenAI API for custom automation and workflow design.
Security, Ethics, and AI Governance
- Formulating corporate policies for AI adoption and usage.
- Ensuring data security and responsible implementation practices.
- Adhering to privacy standards and regulatory compliance requirements.
Constructing AI-Driven Solutions
- Architecting AI-powered productivity dashboards and monitoring tools.
- Connecting ChatGPT to enterprise business systems via API interfaces.
- Implementing automation for reporting, data validation, and analytical tasks.
Capstone Project: AI in Practice
- Identifying a specific organizational challenge to address.
- Designing and executing an AI-based solution utilizing ChatGPT.
- Presenting findings and incorporating peer feedback.
Summary and Future Directions
Requirements
- A solid grasp of general computer navigation and usage.
- Practical experience with text-based software or office productivity suites.
- Basic familiarity with digital collaboration platforms.
Target Audience
- Administrative and support professionals.
- Technical team members and engineers.
- 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.
