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Duration 14 hours
Course Outline
Advanced AI Applications and Workflows
- Constructing AI-assisted technical processes
- Leveraging ChatGPT for software documentation and testing
- Supporting data querying and analysis with AI
Customizing and Extending ChatGPT
- Creating and administering Custom GPTs
- Enhancing functionality through plugins
- Developing department-specific use cases
Working with the OpenAI API
- API authentication and configuration
- Managing the sending and handling of API requests
- Automating processes using scripts and webhooks
Security, Ethics, and Compliance
- Formulating corporate AI governance policies
- Safeguarding data protection and access control
- Mitigating bias and ensuring responsible AI deployment
Integration and Automation
- Linking ChatGPT with enterprise platforms
- Streamlining reports and analytics workflows
- Embedding AI into DevOps and infrastructure systems
Building AI-Powered Solutions
- Designing custom dashboards using ChatGPT
- Incorporating AI features into existing applications
- Scaling solutions across various business units
Capstone Project
- Identifying a real-world business challenge
- Designing and implementing an AI-based solution
- Evaluation, presentation, and peer review
Summary and Next Steps
Requirements
- A solid grasp of ChatGPT prompt engineering
- Experience applying AI to workflow automation or data-centric tasks
- Basic familiarity with APIs or technical integrations
Target Audience
- Developers and engineers
- Data analysts and IT specialists
- Team leaders focused on implementing AI governance
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
