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Course Outline
Advanced AI Applications and Workflows
- Developing AI-assisted technical processes
- Leveraging ChatGPT for software documentation and testing
- Utilizing AI for data querying and analysis
Customizing and Extending ChatGPT
- Creating and managing Custom GPTs
- Enhancing functionality through plugins
- Developing department-specific use cases
Working with the OpenAI API
- Configuring and authenticating API access
- Sending 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
- Addressing 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 with ChatGPT
- Embedding 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 strong grasp of ChatGPT prompt engineering
- Experience utilizing AI for workflow automation or data-related tasks
- Foundational knowledge of APIs or technical integrations
Audience
- Developers and engineers
- Data analysts and IT professionals
- Team leaders overseeing AI governance
14 Hours
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
