AI Engineers are best suited to thrive in the age of AI. It helps businesses utilize Generative AI by building AI-driven applications on top of their existing websites, apps, and databases. Therefore, it’s no surprise that the demand for AI Engineers has been surging in the job marketplace. Supply, however, has been minimal, and acquiring the skills necessary to be hired as an AI Engineer can be challenging.
So, how is this achievable?
Universities have been slow to create specialized programs focused on practical AI Engineering skills. The few attempts that exist tend to be costly and time-consuming. Most online courses offer ChatGPT hacks and isolated technical skills, yet integrating these skills remains challenging.
The Solution
AI Engineering is a multidisciplinary field covering:
- AI principles and practical applications
- Python programming
- Natural Language Processing in Python
- Large Language Models and Transformers
- Developing apps with orchestration tools like LangChain
- Vector databases using PineCone
- Creating AI-driven applications
