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Duration 14 hours
Course Outline
Advanced AI Applications and Workflows
- Constructing AI-assisted technical processes
- Utilizing ChatGPT for software documentation and testing
- Supporting data querying and analysis with AI
Customizing and Expanding ChatGPT
- Creating and overseeing Custom GPTs
- Leveraging plugins to augment functionality
- Developing department-specific use cases
Interacting with the OpenAI API
- Configuring API authentication
- Dispatching and handling API requests
- Automating workflows via scripts and webhooks
Security, Ethics, and Compliance
- Formulating corporate AI governance policies
- Safeguarding data protection and access controls
- Mitigating bias and ensuring responsible AI deployment
Integration and Automation
- Linking ChatGPT with enterprise platforms
- Streamlining reports and analytics workflows
- Incorporating AI into DevOps and infrastructure systems
Developing AI-Powered Solutions
- Designing bespoke dashboards using ChatGPT
- Integrating AI features into current applications
- Scaling solutions across various business units
Capstone Project
- Identifying a real-world business challenge
- Designing and executing an AI-based solution
- Evaluating results, presenting findings, and gathering peer feedback
Conclusion and Future Directions
Requirements
- A strong grasp of ChatGPT prompt engineering principles
- Practical experience leveraging AI for workflow automation or data-centric tasks
- Familiarity with APIs or foundational technical integrations
Target Audience
- Software 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.
