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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
- Utilizing AI for data querying and analytical tasks
Customizing and Extending ChatGPT
- Developing and managing Custom GPTs
- Leveraging plugins to expand capabilities
- Crafting specific use cases for various departments
Working with the OpenAI API
- Configuring API authentication
- Managing the sending and receipt of API requests
- Automating workflows through scripts and webhooks
Security, Ethics, and Compliance
- Formulating corporate AI governance policies
- Safeguarding data and controlling access
- Mitigating bias and ensuring responsible AI deployment
Integration and Automation
- Linking ChatGPT with enterprise platforms
- Automating reporting and analytics pipelines
- Incorporating AI into DevOps and infrastructure systems
Building AI-Powered Solutions
- Designing bespoke dashboards using ChatGPT
- Integrating AI features into existing applications
- Scaling solutions across different business units
Capstone Project
- Identifying a real-world business challenge
- Designing and executing an AI-based solution
- Evaluating outcomes, presenting findings, and receiving peer feedback
Summary and Next Steps
Requirements
- A strong grasp of ChatGPT prompt engineering principles
- Practical experience leveraging AI for workflow automation or data-centric tasks
- Familiarity with APIs and technical integration concepts
Target Audience
- Software developers and engineers
- Data analysts and IT specialists
- Team leaders tasked with overseeing AI governance
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
