Artificial Intelligence

“Artificial Intelligence is a tool not a threat.”

Since the invention of computers or machines, their capability to perform various tasks went on growing exponentially. Humans have developed the power of computer systems in terms of their diverse working domains, their increasing speed, and reducing size with respect to time. A branch of Computer Science named Artificial Intelligence pursues creating the computers or machines as intelligent as human beings. While the word “AI” becomes the buzzword, current literature focused on engineers and coders and lacked the business side hence the gap in AI literature between the “technical” and “business” side.

SkillsPlus Artificial Intelligence course is designed to help learners decode the mystery of Artificial Intelligence and understand its business applications. The course provides an overview of Artificial Intelligence concepts and workflows, Machine Learning, Deep Learning, and performance metrics. You will learn the difference between supervised, unsupervised, and reinforcement learning—be exposed to use cases, and see how clustering and classification algorithms help identify Artificial Intelligence business applications.

What will you learn in this course?

  • A contextual understanding of AI, its history, and evolution, helping you to make relevant predictions for its future trajectory
  • The ability to identify and assess the possibilities for AI in your organisation and build a business case for its implementation
  • Propaedeutic to applications and advanced courses in problem solving, decision systems, planning, robotics, data mining, collective intelligence, etc.
  • Fundamental concepts of Machine Learning and Deep Learning
  • Difference between supervised, semi-supervised and unsupervised learning
  • The role of performance metrics and how to identify their essential methods
  • Building intelligent agents (search, games, logic, constraint satisfaction problems)
  • A strong conceptual understanding of the technologies behind AI such as machine learning, deep learning, neural networks, and algorithms.
  • Develop an informed opinion about AI and its social and ethical implications

Who is this course for?

Business decision makers, marketing staff and professionals who are interested in learning robotics, biometrics, and other competing technologies. Also designed for people who are very keen about learning Artificial Intelligence and applying its awesome result and implementation.

Learning Methodology

  • Face to face or webinar
  • Group discussions
  • Individual and team activities
  • Individual test
  • Case studies
  • Practical activities
  • Role plays
  • Small projects
  • Video recording/play back
  • Individual action plans