Course Detail

Course Description

The Artificial Intelligence certification course kicks start with showing people the power and the potential of AI and how to build Artificial Intelligence. This course had been designed for professionals with an aptitude for statistics and a background in a programming language such as Python, R, etc. The training intends to make this course interesting and fun for students while providing them with a simulated environment for learning. The students will learn to solve real-world AI problems with hands-on live projects that will help them learn about the potential areas where AI can be deployed in real life. The course will help you learn theory, algorithms, and coding simply and effectively.

The Artificial Intelligence (AI) and Deep Learning course commence with building AI applications, understanding Neural Network Architectures, structuring algorithms for new AI machines, and minimizing errors through advanced optimization techniques. GPUs and TPUs will be used on cloud platforms such as Google Colab to run Google AI algorithms along with running Neural Network algorithms on-premise GPU machines. Learn AI concepts and practical applications in the Certification Program in AI and Deep Learning. Get set for a career as an AI expert.AI is making intelligent computer programs that make machines intelligent so they can act, plan, think, move, and manipulate objects like humans. Due to massive increases in data collection and new algorithms, AI has made rapid advancement in the last decade. It is going to create newer and better jobs and liberate people from repetitive mental and physical tasks. Companies are using image recognition, machine learning, and deep learning in the fields of advertising, security, and automobiles to better serve customers. Digital assistants like Alexa or Siri are giving smarter answers to questions and performing various tasks and services with just a voice command.

Deep Learning is often referred to as a subfield of machine learning, where computers are taught to learn by example just like humans, sometimes exceeding human-level performance. In deep learning, we train a computer model by feeding in large sets of labeled data and providing a neural network architecture with many layers. In the course of this program, you will also learn how deep learning has become so popular because of its supremacy in terms of accuracy when trained with massive amounts of data.