AI XPert

There's a lot of buzz around artificial intelligence (AI) technologies at the moment. AI is being incorporated in almost all the industries and in our day-to-day lives. By 2020, AI technologies will be virtually pervasive in almost every new software product and service. This immense opportunity is creating huge talent shortage. The need for AI professionals exists in industries like healthcare, transportation, insurance, logistics and even customer service.

Star AI Pre is a foundation level certification program aims to help learners acquire a fundamental understanding of various concepts related to AI. The purpose of this certification program is to build the interest of the learners in this immensely lucrative field of AI and associated fields. The program decodes AI, and explains basic terminologies, problem solving, data analysis, learning methods of AI, application areas of AI and the impact of AI. With this certification candidates get an opportunity to work in the field of AI and later if they want to learn advance skill, then they can opt for the advanced-level AI course.

Audience

Beginner

AI XPert Course Objectives

In this course, you will learn about:

  • Fundamentals of artificial intelligence
  • Data, algorithms and hardware in AI
  • Data analysis with AI
  • Basics of machine learning and deep learning
  • Application areas of AI
  • Robotics, drones and driving cars
  • Future of AI

Course Outcome

After competing this course, you will be able to:

  • Explain artificial intelligence
  • Understand data, algorithms and hardware in AI
  • Perform data analysis with AI
  • Interpret machine learning and deep learning
  • Identify the application areas of AI: robotics, drones and driving cars
  • Recognize the future of AI

Table Of Contents Outline

  • Introducing Artificial Intelligence (AI)
  • Branches of AI
  • Role of Data, Algorithms and Hardware in AI
  • Data Analysis with AI
  • Machine Learning in AI
  • Deep Learning in AI
  • Planning with AI
  • Computer Vision, Voice and Natural Language Processing with AI
  • Robotics with AI
  • Drones with AI
  • Driving Cars with AI
  • Future of AI
  • Case Study 1: Information Technology
  • Case Study 2: Medical
  • Case Study 3: Interacting with Humans
  • Case Study 4: Transportation
  • Case Study 5: Manufacturing & Logistics
  • Case Study 6: Crisis Management
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