Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks the 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.
About the course
Artificial intelligence (AI) is a research field that
studies how to realize the intelligent human behaviors on a computer. The
ultimate goal of AI is to make a computer that can learn, plan, and solve
problems autonomously. Although AI has been studied for more than half a century,
we still cannot make a computer that is as intelligent as a human in all
aspects. However, we do have many successful applications. In some cases, the
computer equipped with AI technology can be even more intelligent than us. The
Deep Blue system which defeated the world chess champion is a well-know
example.
The main research topics in AI include: problem solving, reasoning, planning,
natural language understanding, computer vision, automatic programming, machine
learning, and so on. Of course, these topics are closely related with each
other. For example, the knowledge acquired through learning can be used both
for problem solving and for reasoning. In fact, the skill for problem solving
itself should be acquired through learning. Also, methods for problem solving
are useful both for reasoning and planning. Further, both natural language
understanding and computer vision can be solved using methods developed in the
field of pattern recognition.
In this course, we will study the most fundamental knowledge for understanding
AI. We will introduce some basic search algorithms for problem solving;
knowledge representation and reasoning; pattern recognition; fuzzy logic; and
neural networks.
AI training Learning Consequences
Develop expertise in popular AI & ML technologies and problem-solving
methodologies.
Develop the ability to independently solve business problems using Artificial
Intelligence & Machine Learning with Deep Learning & Tensorflow.
Learn to use popular AI & ML technologies like Python, Tensorflow, and
Keras to develop applications.
Develop a verified portfolio with 8 projects to showcase the new skills
acquired