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Course Outline
Advanced AI Applications and Workflows
- Constructing AI-assisted technical processes
- Utilizing ChatGPT for software documentation and testing
- Employing AI to support data querying and analysis
Customizing and Extending ChatGPT
- Creating and managing Custom GPTs
- Leveraging plugins to enhance functionality
- Developing tailored use cases for specific departments
Working with the OpenAI API
- API authentication and configuration
- Dispatching and managing API requests
- Automating processes using scripts and webhooks
Security, Ethics, and Compliance
- Establishing corporate AI governance policies
- Ensuring data protection and access control
- Mitigating bias and ensuring 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 using ChatGPT
- Embedding AI features into existing applications
- Scaling solutions across various 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 thorough understanding of ChatGPT prompt engineering
- Practical experience using AI for workflow automation or data-centric tasks
- Fundamental knowledge of APIs or technical integrations
Target Audience
- Developers and engineers
- Data analysts and IT specialists
- Team leaders responsible for implementing AI governance
14 Hours
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
