Introduction to Artificial Intelligence (AI)
Intelligence is an attribute of human beings to think, to learn and to understand and to respond accordingly. Artificial Intelligence is a field in computer science to create intelligent systems that can work like humans, they are cognitive systems that can learn and take decisions like humans.
As part of AI, tools and applications are being developed to solve complex multi-dimensional problems which can be done by humans however would be difficult and time consuming if done by human beings. AI applications can perform tasks like object recognition, speech recognition, path navigation, object localization and also suggest best move on a chessboard.
Machine learning is a subset of AI and is a science that gives computer systems the ability to learn with data without being explicitly programmed. Most common in machine learning is supervised learning. Which is the task of learning a function that maps and input to an output. Deep learning is picking up rapidly and is a type of machine learning based on learning data representations such as computer vision, speech recognition, natural language processing, text and audio recognition etc.
With AI, we can see a trend that is changing the future and will transform many of the industries, hence its essential to understand basics of AI and the learning architectures. Other courses associated with Artificial Intelligence include:
- Deep Learning
- TensorFlow
- Neural Networks
- Machine Learning
- Natural Language Processing
- Python and R Programming
AI is a rapidly developing across industries and not limited to IT only , so we recommend to attend an AI course and explore as many opportunities as possible. Typical roles in AI space are Artificial Intelligence Scientists, Machine learning Engineer, Computer Vision Engineer.
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