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Duration 14 hours
Course Outline
Advanced AI Applications and Operational Workflows
- Constructing AI-assisted technical procedures
- Leveraging ChatGPT for software documentation and quality testing
- Utilizing AI to support data querying and analytical tasks
Customization and Feature Extension of ChatGPT
- Developing and overseeing Custom GPTs
- Utilizing plugins to augment system capabilities
- Crafting specialized use cases for specific business departments
Utilizing the OpenAI API
- Configuring API authentication and settings
- Processing and managing API requests effectively
- Streamlining processes through scripting and webhook automation
Security, Ethical Standards, and Regulatory Compliance
- Formulating corporate AI governance policies
- Safeguarding data integrity and managing access controls
- Mitigating bias and ensuring responsible AI implementation
System Integration and Process Automation
- Linking ChatGPT with major enterprise platforms
- Automating reporting and analytical workflows
- Incorporating AI capabilities into DevOps and infrastructure frameworks
Developing AI-Driven Solutions
- Architecting bespoke dashboards utilizing ChatGPT
- Integrating AI functionalities into current applications
- Scaling solutions across various business divisions
Capstone Project
- Identifying a tangible business challenge
- Architecting and deploying an AI-based resolution
- Conducting evaluation, presentations, and collecting peer insights
Concluding Summary and Future Directions
Requirements
- A proficient 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
Intended Participants
- Software developers and engineering specialists
- Data analysts and IT practitioners
- 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.
