AI Developers build sophisticated Generative AI into Vantiq applications. This role requires a wide variety of abilities in order to carry out the following tasks:
- Be able to configure Large Language Models to the exacting needs of the project.
- Comfortably navigate both the App and GenAI Builder environments
- Work with the three App activity tasks that use Generative AI
- Build complex GenAI procedures
- Inform LLMs correctly with Semantic Index data
- Build Tools, either as VAIL or Python procedures
- Create GenAI Components for modular use
The courses that comprise the AI Developer Training Pathway are:
- Vantiq Version Control System – (1 Hour) – The VCS is a tool in the IDE that copies project files to a local filesystem, so the files and their changes can be managed by versioning software. It’s also useful for integrating the work of multiple developers into a single project.
- Introduction to Generative AI Applications – (4 Hours) – The Vantiq platform comes equipped with support for all industry-leading Large Language Models. Students in this class will gain real-world skills and knowledge to employ low- and no-code methods for building automated generative AI into their projects.
- Advanced Generative AI Applications – (4 Hours) – As the industry has evolved in creating ever more complex and sophisticated AI products, Vantiq continues to incorporate the latest, cutting-edge generative AI capabilities right into the platform. In this class, students build their own advanced systems using the GenAI Builder tool and coding AI Functions.
- VAIL Procedures – (1 Hour) – The Vantiq Application Integration Language is the platform’s easy-to-learn and very versatile proprietary language. Developers use procedures to invoke program logic, manage state and augment event processing.
- App & GenAI Components – (2 Hours) – Developers who find themselves building the same functionality in Visual Event Handlers (Apps) or GenAI procedures can save time and effort by turning that functionality into Components. This elective demonstrates how to build complex, yet flexible Components that are easy for consumers to seamlessly plug into their own projects.