Artificial intelligence
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include: Speech recognition.
Data Science
Data science is a multidisciplinary blend of data inference, algorithm development and technology in order to solve analytically complex problems. Data Science involves using automated methods to analyze massive amounts of data and to extract knowledge from them.
Big Data Technology
"Big data" is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Big data include capturing data, data storage, data analysis
DevOps
DevOps is a set of practice that seeks to reduce the gap between software development and software operation. It focuses on automating and monitoring all steps of software construction, from integration, testing, releasing to deployment and infrastructure management.
Cloud computing
Cloud is for enabling convenient, on-demand, and flexible access to a shared pool of computing resources such as networks, servers, storage, applications, and services which are configurable and can be quickly provisioned and de-provisioned with minimal or no management effort.
Machine Learning
Machine learning is the field of study that gives computers the ability to learn without being explicitly programmed and making a prediction based on data. Deep learning is a subfield of machine learning. While both fall under the broad category of artificial intelligence
BootCamp
Bootcamp trainings enable organizations to transform their employees from Traditional technologies to Big Data/Machine Learning/GCP Engineers. These intensive bootcamps usually span beyond one week and provide real-world project experience as well during this period.
Other Key Trainings
We are also providing trainings on other specialized topics e.g. Blockchain, Robotics Process Automation, Talend, IoT etc. These are mostly Hands-on trainings with ample focus on theory to ensure that participants get the right exposure for applying it in real-world projects.
Confluent
Connect all your apps and data with the broadest ecosystem of clients and connectors for Kafka. Process and respond in real-time with Kafka Streams and KSQL - Confluent’s streaming SQL engine. Monitor and manage the health of your cluster and data streams.
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