COURSE OVERVIEW

 This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops. 

 

This course is designed to provide participants with a detailed and up-to-date overview of Big Data & Artificial Intelligence. It covers the big data and how AI complements big data for smart decision-making; the big data architecture and AI pipelines and data collection, storage and processing for AI; the AI and big data in business transformation and AI the algorithms for big data processing. 

 

Further, the course will also discuss the data wrangling and preprocessing for AI in big data, AI in predictive data analytics and natural language processing (NLP) for big data; the real-time AI analytics with Apache Spark, AI in big data for cybersecurity and deep learning for big data; the AI-powered recommendation systems, computer vision and AI for big data and AI-driven healthcare and big data analytics; and the AI in financial and stock market analysis, big data and AI in IoT (Internet of Things) and AI for big data automation and decision-making. 

 

 

 

During this interactive course, participants will learn the AI-powered robotics for industrial automation, predictive maintenance of machines, quality control and defect detection and supply chain and logistics optimization; the AI-powered business intelligence and data visualization and cloud computing and AI for big data; the AI and big data in 5G and edge computing, AI for autonomous systems and robotics, AI in augmented and virtual reality (AR/VR) and AI in quantum computing for big data; and the AI bias and fairness in big data processing, privacy laws (GDPR, CCPA) and AI compliance, AI and Deepfake detection and responsible AI development for big data.