The program is designed to enable the participants to diagnose business problems captured in different types of data, conduct an in-depth analysis of the data using statistical and visualization tools, and understand how to generate business insights by leveraging Machine Learning.
The program is designed to enable the participants to diagnose business problems captured in different types of data, conduct an in-depth analysis of the data using statistical and visualization tools, and understand how to generate business insights by leveraging Machine Learning.
The course consists of Theory (40%) and Practical (60%), comprising of Industry-based Used Cases.
Content:
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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