+91 6300698155 | +1 929-268-1172 | +91 6300698155 | erplearninghub123@gmail.com

Artificial Intelligence Course Introduction

Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. AI is an interdisciplinary science with multiple approaches, but advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry.

The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal. A subset of artificial intelligence is machine learning, which refers to the concept that computer programs can automatically learn from and adapt to new data without being assisted by humans. Deep learning techniques enable this automatic learning through the absorption of huge amounts of unstructured data such as text, images, or video.

Understanding Artificial Intelligence (AI)

When most people hear the term artificial intelligence, the first thing they usually think of is robots. That's because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth.

Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include mimicking human cognitive activity. Researchers and developers in the field are making surprisingly rapid strides in mimicking activities such as learning, reasoning, and perception, to the extent that these can be concretely defined. Some believe that innovators may soon be able to develop systems that exceed the capacity of humans to learn or reason out any subject. But others remain skeptical because all cognitive activity is laced with value judgments that are subject to human experience.

As technology advances, previous benchmarks that defined artificial intelligence become outdated. For example, machines that calculate basic functions or recognize text through optical character recognition are no longer considered to embody artificial intelligence, since this function is now taken for granted as an inherent computer function.

Artificial Intelligence Online Training Course Content

  • Module 01 - Introduction to Deep Learning and Neural Networks
  • Module 02 - Multi-layered Neural Networks
  • Module 03 - Artificial Neural Networks and Various Methods
  • Module 04 - Deep Learning Libraries
  • Module 05 - Keras API
  • Module 06 - TFLearn API for TensorFlow
  • Module 07 - Dnns (deep neural networks)
  • Module 08 - Cnns (convolutional neural networks)
  • Module 09 - Rnns (recurrent neural networks)
  • Module 10 - Gpu in deep learning
  • Module 11- Autoencoders and restricted boltzmann machine (rbm)
  • Module 12 - Deep learning applications
  • Module 13 - Chatbots

Request For a Free Demo