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Duration 14 hours
Course Outline
Advanced AI Applications and Workflows
- Constructing AI-assisted technical processes
- Applying ChatGPT to software documentation and testing
- Leveraging AI for data querying and analytical tasks
Customizing and Extending ChatGPT
- Building and managing Custom GPTs
- Enhancing capabilities using plugins
- Creating department-specific use cases
Working with the OpenAI API
- Managing API authentication and configuration
- Handling the transmission and management of API requests
- Automating workflows using scripts and webhooks
Security, Ethics, and Compliance
- Defining corporate AI governance policies
- Safeguarding data protection and access controls
- 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 existing applications
- Expanding solutions across various 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 strong grasp of ChatGPT prompt engineering techniques
- Practical experience leveraging AI for workflow automation or data-centric tasks
- Fundamental understanding of APIs or technical integration methods
Intended Audience
- Software developers and engineers
- Data analysts and IT specialists
- Team leads 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.
