In today's data-driven world, organizations need the ability to transform massive volumes of data into meaningful insights at the speed of business. Data management and analytics tools are a core enabler of new values created by the intersection of the Internet of Things (IoT), people, and the physical world. Three of the Top 10 Skills in Demand in 2018 are Big Data, Artificial Intelligence (AI), and Data Analytics. The need to analyze large amounts of data is expanding rapidly.
In this program, students will learn the basic concepts, principles, and fundamental approaches to handle modern analytic workloads using Machine Learning, IoT solutions, and the Vertica Analytics Platform. This analytics platform is designed for use in data warehouses and other Big Data workloads where speed, scalability, simplicity, and openness are crucial to the success of analytics.
The Architecture of Internet of Things IoT components, devices, hardware, and software requirements
The various layers of IoT infrastructure IoT embedded systems & micro-controllers
Working with Big Data and deploying Data analytics
The Arduino & Raspberry Pi interface for IoT USB, HDMI, and Ethernet protocols of IoT communication
Controlling physical IoT devices like switches, motors, and sensors
Programming for IoT components and systems
IoT support, security, testing, compliance, and data management
Design intelligent agents to solve real-world problems which are search, games, machine learning, logic constraint satisfaction problems, knowledge-based systems, probabilistic models, and agent decision making
Master TensorFlow by understanding the concepts of TensorFlow, the main functions, operations, and the execution pipeline
Acquire a deep intuition of Machine Learning models by mastering