Course Outline
Foundations – Core AI Concepts and ChatGPT Initiation
Foundations of Artificial Intelligence
- Defining Artificial Intelligence (AI) and its scope.
- Essential concepts including machine learning, deep learning, and natural language processing.
- Examining practical AI applications across business sectors and daily life.
Large Language Models (LLMs) and the ChatGPT Ecosystem
- Mechanics behind how LLMs function.
- Core capabilities and features of ChatGPT.
- Comparative analysis of different ChatGPT versions and their distinct characteristics.
Initial Interaction with ChatGPT
- Interface navigation and initial access procedures.
- Understanding the dynamics of prompts, model responses, and contextual limits.
- Constructing initial prompts to explore basic use cases and recognize limitations.
Practical Integration into Daily Tasks
- Leveraging ChatGPT for writing, summarization, and creative brainstorming.
- Generating templates, professional emails, and formal reports.
- Utilizing AI for scheduling assistance and communication support.
Ethical Usage and Best Practices
- Addressing bias, data privacy concerns, and ethical responsibilities.
- Calibrating expectations regarding output accuracy and the need for verification.
- Practical exercises focused on AI-assisted decision-making processes.
Intermediate – Enhancing Productivity Through ChatGPT
Prompt Engineering and Performance Optimization
- Structuring prompts to achieve consistent and predictable results.
- Effective use of examples, role assignment, and constraints.
- Iterative refinement techniques to improve response quality.
Workflow Integration with Productivity Suites
- Linking ChatGPT with Google Workspace tools (Docs, Sheets, Gmail).
- Incorporating ChatGPT into Microsoft 365 environments (Word, Excel, Teams).
- Automating document creation, meeting notes, and task management.
Application in Agile and Technical Environments
- Drafting and refining user stories and acceptance criteria.
- Generating sprint documentation and retrospective insights.
- Assisting in backlog refinement and task estimation processes.
Collaborative AI Workflows
- Implementing team-based prompting and feedback loops.
- Establishing shared AI knowledge repositories.
- Group simulations of real-world AI-assisted tasks.
Applied Scenarios and Use Cases
- ChatGPT as a virtual meeting assistant.
- ChatGPT acting as a writing coach and editor.
- ChatGPT as a brainstorming partner for process optimization.
Advanced – Customization, System Integration, and Governance
AI in Development and Data Engineering
- Code generation and refactoring techniques using ChatGPT.
- Creating API documentation and testing scripts with AI assistance.
- Supporting SQL query formulation and data analysis tasks.
Customizing and Extending Capabilities
- Developing Custom GPTs for specific organizational workflows.
- Leveraging plugins and third-party integrations to expand functionality.
- Exploring the OpenAI API for advanced automation and workflow design.
Security, Ethics, and Corporate Governance
- Formulating corporate policies for AI utilization.
- Ensuring data security and responsible implementation of AI tools.
- Maintaining compliance with privacy laws and regulatory standards.
Developing AI-Driven Strategic Solutions
- Architecting AI-powered productivity dashboards.
- Connecting ChatGPT to enterprise systems via API integrations.
- Automation strategies for reporting, data validation, and analytical tasks.
Capstone Project: Practical AI Implementation
- Identifying a genuine organizational challenge.
- Designing and deploying an AI-based solution leveraging ChatGPT.
- Presenting results and incorporating peer feedback.
Concluding Remarks and Future Pathways
Requirements
- General proficiency in computer usage
- Practical experience with text-based applications or office suites
- Working knowledge of online collaboration platforms
Target Audience
- Administrative support professionals
- Technical specialists 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.
