The course is designed to teach on the fundamental concepts of Machine Learning (ML) along with Python programming basics. Completion of the course will enable the participant to understand ML concepts, import and process data into a modeling-friendly format.
The course is designed to teach on the fundamental concepts of Machine Learning (ML) along with Python programming basics. Completion of the course will enable the participant to understand ML concepts, import and process data into a modeling-friendly format, gain the ability to develop basic ML models from scratch in Python, and identify cases where it can be applied. The course consists of Theory (40%) and Practical (60%), comprising of Industry-based Used Cases.
Course Module:
Artificial Intelligence and subsequently Machine Learning is presenting a radically new paradigm: (a) training data, not coding rules, and letting the data generate models, (b) letting these models learn from new data and predict future data (c) improving predictions on the go.
According to a Gartner report “Predicts 2018: AI and the Future of Work.”, in 2021, AI augmentation will generate over USD 2.9 trillion in business value and generate over 2.3 million new jobs by 2020. This fast-evolving environment mandates the need for an education partner, who also evolves in terms of learning method and content at the same pace to be relevant.
AILABS is implementing a well-researched plan to spread AI talent at global tech hubs for applications in practical decision-making. We will focus on imparting learning on AI since industry peers surmise that AI will dominate all other IT platforms for decades to come. While the software tech giants continue to corner the world’s top AI science talent, businesses need data and application engineers. We plan to generate a stream of such talents from our network of centers partnering with the world’s top education and software vendors.
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