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 Duration 42 hours

Course Outline

Introductory Module – AI Fundamentals and ChatGPT Orientation

Overview of Artificial Intelligence

  • Definition of Artificial Intelligence (AI)
  • Core concepts: machine learning, deep learning, and natural language processing
  • Applied AI use cases in enterprise operations and daily workflows

Large Language Models (LLMs) and ChatGPT

  • Mechanics of LLM operation
  • Summary of ChatGPT features and operational capabilities
  • Comparative analysis of ChatGPT versions and distinct features

Onboarding to ChatGPT

  • System access protocols and interface navigation
  • Concepts of prompting, response generation, and context management
  • Initial prompt creation: fundamental applications and operational limits

Operational Use Cases for Routine Tasks

  • Leveraging ChatGPT for drafting, summarization, and ideation
  • Generation of standardized templates, correspondence, and reports
  • Utilizing ChatGPT for schedule management and communication coordination

Ethical Usage and Operational Standards

  • Assessment of algorithmic bias, data confidentiality, and ethical protocols
  • Establishing benchmarks for output accuracy and verification processes
  • Practical exercises: AI-supported decision-making scenarios

Intermediate Module – Enhancing Organizational Productivity with ChatGPT

Prompt Engineering and Optimization

  • Structuring prompts to ensure consistent and predictable outcomes
  • Effective utilization of examples, role definitions, and constraints
  • Iterative refinement of ChatGPT responses

Integration with Productivity Platforms

  • Connecting ChatGPT with Google Workspace (Docs, Sheets, Gmail)
  • Linking ChatGPT with Microsoft 365 (Word, Excel, Teams)
  • Automating document creation, meeting documentation, and task tracking

Integration with Agile and Technical Processes

  • Creation and refinement of user stories and acceptance criteria
  • Drafting sprint records and retrospective analyses
  • Supporting backlog refinement and workload estimation

Collaborative AI Workflows

  • Team-based prompting strategies and feedback mechanisms
  • Construction of a shared institutional AI repository
  • Group exercises: Simulation of AI-assisted task execution

Practical Exercises and Scenario Applications

  • Deploying ChatGPT as a meeting support tool
  • Utilizing ChatGPT for writing guidance
  • Leveraging ChatGPT for process improvement ideation

Advanced Module – Customization, System Integration, and Governance

AI Deployment in Development and Data Initiatives

  • Code generation and refactoring using ChatGPT
  • Application of ChatGPT for API documentation and test script creation
  • Supporting SQL query construction and data analysis

Customization and System Extension

  • Development of Custom GPTs for specific organizational requirements
  • Utilizing plugins and integrations to expand functionality
  • Leveraging the OpenAI API for workflow automation

Security, Ethics, and Regulatory Compliance

  • Formulation of institutional AI usage policies
  • Data protection and responsible AI deployment
  • Adherence to privacy laws and regulatory mandates

Development of AI-Powered Solutions

  • Designing AI-enabled productivity dashboards
  • Connecting ChatGPT to core business systems via API
  • Automation scenarios: reporting, data verification, and analytical processing

Capstone Project: Implementation of AI Solutions

  • Identification of a specific organizational operational challenge
  • Design and execution of a ChatGPT-based solution
  • Presentation of findings and peer review

Conclusion and Recommended Follow-up Actions

Requirements

  • Proficiency in general computer operations
  • Experience using text-based software or office suites
  • Familiarity with digital collaboration platforms

Target Audience

  • Administrative professionals
  • Technical personnel
  • Project managers and software developers

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