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 Duration 42 hours

Course Outline

Beginner Level – Grasping AI Foundations and ChatGPT Essentials

Introduction to Artificial Intelligence

  • Defining Artificial Intelligence (AI) and its scope
  • Core concepts: machine learning, deep learning, and natural language processing
  • Examining real-world AI applications in business contexts and daily life

Large Language Models (LLMs) and ChatGPT

  • Mechanics of how LLMs function
  • Overview of ChatGPT’s architecture and core capabilities
  • Differentiating between ChatGPT versions and their respective strengths

Initiating Your Journey with ChatGPT

  • Accessing the platform and navigating the user interface
  • Understanding the interplay of prompts, responses, and model context
  • Constructing initial prompts: exploring basic use cases and inherent limitations

Applying ChatGPT to Daily Operations

  • Leveraging ChatGPT for drafting, summarization, and ideation
  • Generating templates, professional emails, and reports via ChatGPT
  • Utilizing ChatGPT to assist with scheduling and communication management

Ethical Usage and Best Practices

  • Navigating issues of bias, data privacy, and ethical deployment
  • Setting realistic expectations for accuracy and result verification
  • Practical exercise: Simulating AI-assisted decision-making scenarios

Intermediate Level – Amplifying Efficiency with ChatGPT

Prompt Engineering and Optimization

  • Structuring prompts to achieve predictable and consistent outcomes
  • Effective use of examples, role assignments, and constraints
  • Iterating and refining ChatGPT outputs for improved quality

Integrating ChatGPT with Productivity Suites

  • Linking ChatGPT with Google Workspace components (Docs, Sheets, Gmail)
  • Connecting ChatGPT to Microsoft 365 ecosystem (Word, Excel, Teams)
  • Automating document creation, meeting note-taking, and task tracking

ChatGPT in Agile and Technical Processes

  • Drafting and refining user stories and acceptance criteria
  • Generating sprint documentation and retrospective summaries
  • Supporting backlog refinement and task estimation processes

Collaborative AI Workflows

  • Facilitating team-based prompting and feedback loops
  • Constructing a shared organizational AI knowledge base
  • Group exercise: Simulating real-world AI-assisted task completion

Hands-on Exercises and Applied Scenarios

  • Deploying ChatGPT as a meeting assistant
  • Utilizing ChatGPT as a writing coach
  • Partnering with ChatGPT for process improvement brainstorming

Advanced Level – Customization, Integration, and Governance

AI in Development and Data Projects

  • Generating and refactoring code using ChatGPT
  • Creating API documentation and testing scripts with ChatGPT
  • Assisting with SQL query construction and data analysis

Customizing and Extending Capabilities

  • Building Custom GPTs for specific organizational needs
  • Leveraging plugins and integrations for extended functionality
  • Exploring the OpenAI API for workflow automation

Security, Ethics, and Governance Frameworks

  • Formulating corporate AI usage policies
  • Ensuring data security and responsible AI implementation
  • Meeting compliance standards for privacy and regulatory requirements

Architecting AI-Driven Solutions

  • Designing AI-powered productivity dashboards
  • Integrating ChatGPT with enterprise business systems via APIs
  • Automation scenarios: Report generation, data validation, and analysis

Capstone Project: AI in Practice

  • Identifying a genuine organizational challenge
  • Designing and executing an AI-based solution utilizing ChatGPT
  • Presenting results and incorporating peer feedback

Course Summary and Future Directions

Requirements

  • Basic proficiency in general computer operations
  • Practical experience with text-based tools or office productivity suites
  • Working knowledge of online collaboration platforms

Target Audience

  • Administrative professionals
  • Technical staff and engineers
  • Project managers and software developers

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