The AI development skills test evaluates the candidate's ability to design and develop AI functionality into software applications. In general, the role entails integrating and implementing AI algorithms and logic into the deliverables of IT projects.
The road map to becoming an AI Developer starts with getting the prototype ready. It’s the one that pays off instead of experimenting with coding.
Multiple Choice Questions
10 min
English
Easy
AI developers are assessed in areas that require them to develop algorithms, machine learning models, and neural networks that can learn from data and improve over time. They require a broad range of technical skills, including programming, machine learning, NLP, deep learning, big data, cloud computing, and mathematics.
Candidates who do well on the skills test have solid expertise and experience in Python, Java, and C++, machine learning concepts and algorithms, NLP concepts like sentiment analysis, and deep learning for building neural networks with multiple layers.
Use these sample questions to evaluate skill and fit for the AI developer role before hiring.
