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Course Outline
Advanced AI Applications and Workflows
- Building AI-assisted technical processes.
- Using ChatGPT for software documentation and testing.
- AI support for data querying and analysis.
Customizing and Extending ChatGPT
- Creating and managing Custom GPTs.
- Using plugins to enhance functionality.
- Developing tailored use cases for departments.
Working with the OpenAI API
- API authentication and configuration.
- Sending and managing API requests.
- Automating processes with scripts and webhooks.
Security, Ethics, and Compliance
- Establishing corporate AI governance policies.
- Ensuring data protection and access control.
- Addressing bias and responsible AI deployment.
Integration and Automation
- Connecting ChatGPT with enterprise platforms.
- Automating reports and analytics workflows.
- Integrating AI into DevOps and infrastructure systems.
Building AI-Powered Solutions
- Designing custom dashboards with ChatGPT.
- Embedding AI features into existing applications.
- Scaling solutions across business units.
Capstone Project
- Defining a real-world business challenge.
- Designing and implementing an AI-based solution.
- Evaluation, presentation, and peer feedback.
Summary and Next Steps
Requirements
- A solid understanding of ChatGPT prompt engineering.
- Experience using AI for workflow automation or data-related tasks.
- Basic knowledge of APIs or technical integrations.
Audience
- Developers and engineers.
- Data analysts and IT professionals.
- Team leaders implementing AI governance.
14 Hours
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.