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Duration 14 hours
Course Outline
Advanced AI Applications and Workflows
- Constructing AI-supported technical processes
- Applying ChatGPT for software documentation and testing
- Supporting data querying and analysis with AI
Customizing and Extending ChatGPT
- Developing and administering Custom GPTs
- Enhancing capabilities through plugins
- Crafting specific use cases for various departments
Interacting with the OpenAI API
- Configuring API authentication and settings
- Handling and managing API requests
- Automating workflows using scripts and webhooks
Security, Ethics, and Compliance
- Formulating corporate AI governance policies
- Safeguarding data and managing access controls
- Mitigating bias and ensuring responsible AI deployment
Integration and Automation
- Linking ChatGPT with enterprise platforms
- Streamlining report generation and analytics pipelines
- Incorporating AI into DevOps and infrastructure stacks
Creating AI-Powered Solutions
- Designing bespoke dashboards using ChatGPT
- Embedding AI functionalities into current applications
- Scaling solutions across multiple business units
Capstone Project
- Identifying a practical business challenge
- Designing and executing an AI-based resolution
- Conducting evaluations, presentations, and peer reviews
Summary and Next Steps
Requirements
- Proficiency in ChatGPT prompt engineering principles
- Practical experience leveraging AI for workflow automation or data-centric tasks
- Familiarity with API concepts or technical integration standards
Target Audience
- Software developers and engineers
- Data analysts and IT specialists
- Team leaders 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.
