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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 Extending ChatGPT
- Creating and managing Custom GPTs
- Enhancing capabilities through plugins
- Developing specific use cases for various departments
Working with the OpenAI API
- API authentication and setup
- Handling and managing API requests
- Automating processes via scripts and webhooks
Security, Ethics, and Compliance
- Formulating corporate AI governance policies
- Guaranteeing 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 bespoke dashboards using ChatGPT
- Incorporating AI features into current applications
- Scaling solutions across multiple business units
Capstone Project
- Identifying a real-world business challenge
- Designing and implementing an AI-based solution
- Conducting evaluation, presentation, and peer review
Summary and Next Steps
Requirements
- A thorough grasp of ChatGPT prompt engineering techniques
- Practical experience leveraging AI for workflow automation or data-centric operations
- Fundamental familiarity with APIs or technical integration methods
Intended Audience
- Software developers and engineers
- Data analysts and IT specialists
- Team leaders responsible for AI governance implementation
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
