This course offers a comprehensive hands-on training to delve in the domain of data science and artificial intelligence. The curriculum covers and develops skills such as data analysis, Python programming, data visualization, exploratory data analysis (EDA), and feature engineering. As the course progresses, participants explore advanced machine learning topics, including deep learning and AI applications, ensuring a well-rounded understanding. With hands on exercises on various data sets, libraries, APIs, integrations and ad-ons, this course prepares trainees to develop smart and intelligent solutions for versatile applications, and contribute towards digital transformation across diverse industries.
This course is designed to empower participants for impactful employment in the dynamic fields of AI and Data Science. With a focus on practical skills applicable across diverse domains, the curriculum covers data analysis, Python programming, visualization, exploratory data analysis (EDA), feature engineering, and advanced machine learning. The goal is to enable participants to develop intelligent applications and solutions using data science and artificial intelligence to facilitate well informed decision making in diverse range of fields. Ethical considerations and real-world scenarios have been integrated to ensure participants are well-equipped for the demands of the evolving industry.