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Duration 14 hours
Course Outline
Advanced AI Applications and Workflows
- Constructing AI-assisted technical processes.
- Utilizing ChatGPT for software documentation and testing procedures.
- Supporting data querying and analysis with AI.
Customizing and Extending ChatGPT
- Creating and managing Custom GPTs.
- Leveraging plugins to expand functionality.
- Developing tailored use cases for specific departments.
Working with the OpenAI API
- Handling API authentication and configuration.
- Processing and managing API requests.
- Automating processes through scripts and webhooks.
Security, Ethics, and Compliance
- Formulating corporate AI governance policies.
- Safeguarding data protection and access controls.
- Mitigating bias and ensuring responsible AI deployment.
Integration and Automation
- Connecting ChatGPT with enterprise platforms.
- Automating reports and analytics workflows.
- Embedding AI into DevOps and infrastructure systems.
Building AI-Powered Solutions
- Designing custom dashboards using ChatGPT.
- Integrating AI features into existing applications.
- Scaling solutions across multiple business units.
Capstone Project
- Identifying a real-world business challenge.
- Designing and implementing an AI-based solution.
- Conducting evaluation, presentation, and peer feedback sessions.
Summary and Next Steps
Requirements
- A strong command of ChatGPT prompt engineering techniques.
- Practical experience leveraging AI for workflow automation or data-centric tasks.
- Fundamental knowledge of APIs or technical integration processes.
Target Audience
- Software developers and engineers.
- Data analysts and IT specialists.
- Team leaders responsible for implementing AI governance strategies.
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
