Course Outline
Beginner Level – Understanding AI and Getting Started with ChatGPT
Introduction to Artificial Intelligence
- What is Artificial Intelligence (AI)?
- Key concepts: machine learning, deep learning, and natural language processing
- Real-world AI applications in business and everyday life
Large Language Models (LLMs) and ChatGPT
- Understanding how LLMs work
- Overview of ChatGPT and its core functionalities
- Exploring ChatGPT versions and their differences
Getting Started with ChatGPT
- Accessing ChatGPT and navigating the interface
- Understanding prompts, responses, and model context
- Crafting your first prompts: basic use cases and limitations
Practical Applications for Everyday Tasks
- Using ChatGPT for writing, summarizing, and brainstorming
- Creating templates, emails, and reports with ChatGPT
- Applying ChatGPT for scheduling and communication support
Responsible Use and Best Practices
- Understanding bias, data privacy, and ethical use
- Setting expectations for accuracy and verification
- Hands-on practice: AI-assisted decision-making exercises
Intermediate Level – Boosting Productivity with ChatGPT
Prompt Engineering and Optimization
- Designing structured prompts for predictable outcomes
- Using examples, roles, and constraints effectively
- Improving and refining ChatGPT responses through iterations
Integrating ChatGPT with Productivity Tools
- Connecting ChatGPT with Google Workspace (Docs, Sheets, Gmail)
- Integrating ChatGPT with Microsoft 365 (Word, Excel, Teams)
- Automating document generation, meeting notes, and task tracking
Applications in Agile and Technical Workflows
- Generating and refining user stories and acceptance criteria
- Drafting sprint documentation and retrospectives
- Assisting with backlog refinement and task estimation
Collaborative Workflows with AI
- Team-based prompting and feedback cycles
- Building a shared AI knowledge base
- Group projects: real-world AI-assisted task simulation
Hands-on Practice and Use Cases
- ChatGPT as a meeting assistant
- ChatGPT as a writing coach
- ChatGPT as a brainstorming partner for process improvement
Advanced Level – Customization, Integration, and Governance
AI Applications in Development and Data Projects
- Generating and refactoring code with ChatGPT
- Using ChatGPT for API documentation and testing scripts
- Applying ChatGPT for SQL queries and data analysis support
Customizing and Extending ChatGPT
- Creating Custom GPTs for organization-specific use cases
- Using plugins and integrations for enhanced functionality
- Exploring the OpenAI API for automation and workflows
Security, Ethics, and Governance
- Establishing corporate AI usage policies
- Data security and responsible AI implementation
- Compliance with privacy and regulatory requirements
Building AI-Driven Solutions
- Designing AI-powered productivity dashboards
- Integrating ChatGPT with business systems via APIs
- Automation use cases: reports, data validation, and analysis
Capstone Project: AI in Action
- Defining a real organizational challenge
- Designing and implementing an AI-based solution using ChatGPT
- Presentation and peer feedback
Summary and Next Steps
Requirements
- An understanding of general computer usage
- Experience with text-based tools or office applications
- Familiarity with online collaboration platforms
Audience
- Administrative professionals
- Technical staff
- Project managers and developers
회원 평가 (4)
제가 매우 감사한 점은 강사가 모든 내용을 얼마나 잘 설명했는지입니다. Finance이 제 전공 분야는 아니지만, 모든 참가자가 동일한 페이지에 있도록 했으며, 남은 시간을 유지했습니다. 연습은 적절한 간격에 배치되었습니다. Communication는 참가자들과의 소통은 항상 있었습니다. 자료는 너무 많지도, 적지도 않았습니다. 그는 복잡한 주제를 더 잘 설명하여 모든 사람이 이해할 수 있도록 했습니다.
Diana
Course - ChatGPT for Finance
기계 번역됨
주제와 그것을 제시하는 방식.
Mark Mackintosh - IUM Insurance
Course - ChatGPT for Executives
기계 번역됨
저는 Sonia가 청중과 상호 작용하는 방식을 좋아합니다. 그녀는 다른 웹 세미나처럼 지루하지 않고 웹 세미나를 생생하게 만들었습니다. 저도 ChatGPT에 놀랐고 정말 감동받았어요.
NURUL FARIHAH BINTI ABD MALEK - HRD CORP
Course - ChatGPT for Accounting
기계 번역됨
Practical examples in Insurance