How about learning some Artificial Intelligence courses for higher earning in the future?

By ridhigrg |Email | Nov 22, 2019 | 1188 Views

Introduction to Artificial Intelligence (AI)
A high-level overview of AI to learn how Machine Learning provides the foundation for AI, and how you can leverage cognitive services in your apps.
By Microsoft
About this course
Artificial Intelligence will define the next generation of software solutions. This computer science course provides an overview of AI and explains how it can be used to build smart apps that help organizations be more efficient and enrich people's lives. It uses a mix of engaging lectures and hands-on activities to help you take your first steps in the exciting field of AI.

Discover how machine learning can be used to build predictive models for AI. Learn how software can be used to process, analyze, and extract meaning from natural language; and to process images and video to understand the world the way we do. Find out how to build intelligent bots that enable conversational communication between humans and AI systems.

What you'll learn
  • In this course, you will learn how to:
  • Build simple machine learning models with Azure Machine Learning;
  • Use Python and Microsoft cognitive services to work with text, speech, images, and video;
  • Use the Microsoft Bot Framework to implement conversational bots.

Artificial Intelligence (AI)
Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems.
By Columbia University
About this course
  • What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common?
  • They are all complex real-world problems being solved with applications of intelligence (AI).
  • This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.
  • You will learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems.
  • Hands-on experience will be gained by building a basic search agent. Adversarial search will be explored through the creation of a game and an introduction to machine learning includes work on linear regression.

What you'll learn
  • Introduction to Artificial Intelligence and intelligent agents, history of Artificial Intelligence
  • Building intelligent agents (search, games, logic, constraint satisfaction problems)
  • Machine Learning algorithms

Program in Artificial Intelligence
Columbia University
What you will learn
  • Solid understanding of the guiding principles of AI.
  • Apply concepts of machine learning to real-life problems and applications.
  • Design and harness the power of Neural Networks.
  • Broad applications of AI in fields of robotics, vision and physical simulation.

Introduction to Artificial Intelligence (AI)
By IBM
About this Course
In this course, you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning, and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI.  You will also demonstrate AI in action with a mini-project.
 
This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.

WHAT YOU WILL LEARN
  • Understand what is AI, its applications and use cases and how it is transforming our lives
  • Explain terms like Machine Learning, Deep Learning, and Neural Networks
  • Describe several issues and ethical concerns surrounding AI
  • Articulate advice from experts about learning and starting a career in AI

Source: HOB