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Duration 14 hours
Course Outline
Advanced AI Applications and Workflows
- Constructing AI-assisted technical processes
- Utilising ChatGPT for software documentation and testing
- Leveraging AI for data querying and analysis
Customising and Extending ChatGPT
- Creating and managing Custom GPTs
- Employing plugins to enhance functionality
- Developing tailored use cases for specific departments
Working with the OpenAI API
- API authentication and configuration
- Managing the sending of API requests
- Automating processes using 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
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
