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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 quality testing
- Leveraging AI to support data querying and analytical tasks
Customizing and Extending ChatGPT
- Building and overseeing Custom GPT instances
- Enhancing capabilities through plugin utilization
- Developing department-specific use cases
Working with the OpenAI API
- Managing API authentication and setup
- Dispatching and controlling API requests
- Streamlining operations via scripts and webhook integrations
Security, Ethics, and Compliance
- Formulating corporate AI governance strategies
- Guaranteeing data security and access management
- Mitigating bias and ensuring responsible AI implementation
Integration and Automation
- Linking ChatGPT with existing enterprise platforms
- Automating reporting and analytical workflows
- Embedding AI capabilities into DevOps and infrastructure architectures
Building AI-Powered Solutions
- Designing bespoke dashboards using ChatGPT
- Incorporating AI features into current applications
- Expanding solutions across multiple business divisions
Capstone Project
- Identifying a genuine business challenge
- Designing and deploying an AI-centric solution
- Assessment, demonstration, and peer review
Summary and Next Steps
Requirements
- A comprehensive grasp of ChatGPT prompt engineering techniques
- Practical experience leveraging AI for workflow automation or data-centric operations
- Fundamental familiarity with APIs or technical integration processes
Target Audience
- Software developers and engineering specialists
- Data analysts and IT professionals
- Leadership teams responsible for AI governance initiatives
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
