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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.
- Utilizing AI to support data querying and analysis.
Customizing and Extending ChatGPT
- Creating and managing Custom GPTs.
- Enhancing functionality through plugins.
- Developing tailored use cases for specific departments.
Working with the OpenAI API
- API authentication and configuration.
- Executing and managing 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
- Connecting ChatGPT with enterprise platforms.
- Automating reports and analytics workflows.
- Embedding AI into DevOps and infrastructure systems.
Building AI-Powered Solutions
- Designing custom dashboards with ChatGPT.
- Integrating AI features into existing applications.
- Scaling solutions across business units.
Capstone Project
- Identifying a real-world business challenge.
- Designing and implementing an AI-based solution.
- Evaluation, presentation, and peer feedback.
Summary and Next Steps
Requirements
- A thorough grasp of ChatGPT prompt engineering.
- Practical experience leveraging AI for workflow automation or data-centric tasks.
- Familiarity with APIs or technical integration concepts.
Audience
- Developers and engineers.
- Data analysts and IT specialists.
- Team leaders responsible for implementing AI governance.
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
