Artificial Intelligence (AI) Fundamentals Course and Certification

Learn Online Artificial Intelligence (AI) Fundamentals Online form Industry Expert - Nilesh Khakhar. We offer AI Fundamentals & Certification Course Online for Beginners and Professionals.

WHY SHOULD YOU TAKE THIS COURSE?

Markets

By 2024, 75% enterprises will shift to operationalizing AI, driving 5X increase in analytics infrastructure.

Growth

AI is expected to replace 85 million jobs worldwide by 2025. Though that sounds scary, the report goes on to say that it will also create 97 million new jobs in that same timeframe.

Salary Offered

Average national salary provided to an AI engineer can go up to USD $114,121 PA(USA) and INR 9,00,000 PA (India Beginners)

Welcome to the world of AI

AI is a broad branch of computer science focused on a machine’s capability to produce rational behavior from external inputs. The goal of AI is to create systems that can perform tasks that would otherwise require human intelligence. AI manifests itself in everyday life via virtual assistants, search prediction technology and even ride-hailing services. 

According to the father of AI, John McCarthy, it is “The science and engineering of making intelligent machines, especially intelligent computer programs.” AI is a way of making a computer, a computer-controlled robot, or software thinking as intelligently as humans.  

This course provides with the knowledge about how AI is performed by studying how the human brain thinks and how humans learn, decide, and work while trying to solve a problem and then using the outcomes of this study to develop intelligent software and systems, along with that the how is it used by multiple companies in the market, Insights on ML and Deep learning and so on.

What are the problems solved by AI?

The fundamental objective of AI (also called heuristic programming, machine intelligence, or the simulation of cognitive behavior) is to enable computers to perform such intellectual tasks as decision making, problem-solving, perception, understanding human communication (in any language and translate, among them). From Battery and RAM optimization along with Voice Assistant in the mobile phone to Self Driving cars, AI has made its place in almost all the domains and much more growth has been into expectation.

Who should attend this course?
  • Business analyst
  • AI Technical Analyst
  • Analytics Managers who are leading a team of analysts
  • Information Architects
  • Analytics professionals who want to work in ML or AI
  • One who is looking out to build a career in AI and ML
  • Experienced professionals who would like to harness AI in their fields to get more insight

THE AUTHOR

"Nilesh is a Digital Enterprise Architect and has almost three decades of hands-on experience in IT consulting, a great relationship with 5C companies, and the connection operating with CXO level executives of clients in the Digital Service Providers Industry. Furthermore, he is also an active contributor to Business and Technology Consortiums like TM-FORUM USA, Blockchain Training alliance USA, Open Group USA, GRAPA USA, Axelos UK, Khan Academy INDIA, OpenStack Cloud US. During the last decade, he expanded further to provide Consulting, Training, and Coaching Services to IT Clients and Communication Service Providers (CSPs) across APAC, Europe, and North American Markets."

COURSE CURRICULUM

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