What are the skills required to explore a career in AI?
AI is a revolutionary force that has been reshaping our world in ways previously unimaginable. AI is a multidisciplinary field that combines elements of computer science, mathematics, and domain-specific knowledge. However, to embark on a successful career in AI, one must acquire a set of specific skills.
To pursue a career in AI and its promising future, here are the important skills required:
1. Programming and Coding: «One of the foundational skills for a career in AI is proficiency in programming and coding. You need to be comfortable with languages like Python, TensorFlow, PyTorch, and scikit-learn.
Python is particularly popular in AI due to its extensive libraries and easy-to-learn syntax. Additionally, knowledge of other languages such as C++ and Java can be beneficial, depending on the specific domain of AI one chooses to work in,» Dheeraj Malhotra – India Head of Data & AI Practice, Insight said.
2. Mathematics and Statistics: Building intuition in Math and Statistics is important.
Beyond coding and mathematical maturity in linear algebra probabilities and calculus, these programming languages allow to implement machine learning models and algorithms. These concepts come up repeatedly when developing AI systems. One needs to grasp these concepts to design and implement AI models effectively.
3. Machine and Deep Learning: Machine learning is at the core of AI. Understanding algorithms for machine learning (ML) techniques like regression, clustering, and neural networks is imperative.
