Course Outline

Advanced AI Applications and Workflows

  • Building AI-assisted technical processes
  • Using ChatGPT for software documentation and testing
  • AI support for data querying and analysis

Customizing and Extending ChatGPT

  • Creating and managing Custom GPTs
  • Using plugins to enhance functionality
  • Developing tailored use cases for departments

Working with the OpenAI API

  • API authentication and configuration
  • Sending and managing API requests
  • Automating processes with scripts and webhooks

Security, Ethics, and Compliance

  • Establishing corporate AI governance policies
  • Ensuring data protection and access control
  • Addressing bias and responsible AI deployment

Integration and Automation

  • Connecting ChatGPT with enterprise platforms
  • Automating reports and analytics workflows
  • Integrating AI into DevOps and infrastructure systems

Building AI-Powered Solutions

  • Designing custom dashboards with ChatGPT
  • Embedding AI features into existing applications
  • Scaling solutions across business units

Capstone Project

  • Defining a real-world business challenge
  • Designing and implementing an AI-based solution
  • Evaluation, presentation, and peer feedback

Summary and Next Steps

Requirements

  • A solid understanding of ChatGPT prompt engineering
  • Experience using AI for workflow automation or data-related tasks
  • Basic knowledge of APIs or technical integrations

Audience

  • Developers and engineers
  • Data analysts and IT professionals
  • Team leaders implementing AI governance
 14 Hours

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