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Course Outline
Advanced AI Applications and Workflow Optimization
- Constructing AI-assisted technical workflows
- Utilizing ChatGPT for software documentation and testing procedures
- Leveraging AI for complex data querying and analytical tasks
Customization and Extension of ChatGPT Capabilities
- Developing and administering Custom GPTs
- Enhancing functionality through plugin integration
- Creating specialized use cases for specific departments
Integration with the OpenAI API
- Managing API authentication and configuration
- Handling API request generation and lifecycle
- Automating processes using scripts and webhook mechanisms
Security, Ethics, and Regulatory Compliance
- Formulating corporate AI governance frameworks
- Enforcing data protection and access control measures
- Mitigating bias and ensuring responsible AI deployment
Enterprise Integration and Automation Strategies
- Linking ChatGPT with core enterprise platforms
- Automating reporting and analytics pipelines
- Incorporating AI into DevOps and infrastructure architectures
Development of AI-Driven Solutions
- Designing custom dashboards utilizing ChatGPT
- Embedding AI features into existing application stacks
- Scaling solutions across various business units
Capstone Project
- Identifying a real-world business challenge
- Designing and implementing an AI-based resolution
- Conducting evaluation, presentation, and peer review
Summary and Future Pathways
Requirements
- Proficient grasp of ChatGPT prompt engineering principles
- Practical experience leveraging AI for workflow automation or data-centric operations
- Fundamental understanding of APIs or technical integration concepts
Target Audience
- Software developers and engineers
- Data analysts and IT specialists
- Leadership teams responsible for AI governance strategies
14 Hours
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.