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ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
Deep Learning refers to the ability of an "artificial agent" to learn by trial-and-error and rewards-and-punishments. An artificial agent aims to emulate a human's ability to obtain and construct knowledge on its own, directly from raw inputs such as vision. To realize reinforcement learning, deep learning and neural networks are used. Reinforcement learning is different from machine learning and does not rely on supervised and unsupervised learning approaches.
ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
Generative AI in Fintech – Enhancing Efficiency, Compliance, and Innovation
The rise of Generative AI in Fintech – Enhancing Efficiency, Compliance, and Innovation is transforming financial services. By leveraging generative AI, companies can automate workflows, strengthen risk management, and create innovative financial solutions. This course will help professionals understand the fundamentals of AI, explore its real-world fintech applications, and implement AI-driven strategies for compliance and efficiency. Whether you are an IT professional, compliance officer, or fintech innovator, mastering Generative AI in Fintech will give you a competitive edge in the evolving financial landscape.
ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
This course introduces people to the principles and process of logical data modeling, Physical Data Modeling using ERWin Tool. The course details how to convert the business data requirements into a graphical representation. It teaches people how to analyze business requirements that should be incorporated into a logical data model and in Physical Data model in turn. In short, participants will learn proven, practical skills for analyzing and modeling data requirements, and make them ready to be transformed into a relational database and design multi Dimensional Database.
ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
Course Customization Options To request a customized training for this course, please contact us to arrange.
ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
The Machine Learning and Deep Learning course provides an in-depth understanding of neural networks, TensorFlow, and AI model deployment. Participants will explore convolutional neural networks (CNNs) for image recognition and recurrent neural networks (RNNs) for NLP applications. Learn how to optimize AI models, tune hyperparameters, and deploy machine learning solutions using TensorFlow and Keras. This course is designed for software engineers, data scientists, and statisticians looking to advance their careers in AI. Join us to gain practical experience in Machine Learning and Deep Learning and master cutting-edge AI technologies.
ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
Blue Prism is a powerful Robotic Process Automation (RPA) tool that automates business processes by employing a robotic workforce. It is a cost-effective solution to help organizations obtain high-quality business intelligence while reducing human error. It is an application of technology that allows employees / delegates in a company to configure computer software, or a ‘robot’, to capture and interpret existing applications for processing a transaction, manipulating data, triggering responses and communicating with other digital systems.
ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine Learning algorithms comb through data and identify patterns that are too complex to be discerned by the human mind.
ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
Overview Artificial Intelligence for Robotics focuses on integrating AI with robotics to develop intelligent and efficient machines. By combining AI principles with mechanical engineering, this field enables robots to perceive, learn, and interact with their environment in a human-like manner. Equipped with sensors, actuators, and advanced algorithms, these intelligent systems can analyze data, make autonomous...