ridhigrg

...

Full Bio 
Follow on

Today's Technology-Data Science
23 days ago

How to build effective machine learning models?
23 days ago

Why Robotic Process Automation Is Good For Your Business?
23 days ago

IoT-Advantages, Disadvantages, and Future
24 days ago

Look Artificial Intelligence from a career perspective
24 days ago

Every Programmer should strive for reading these 5 books
562176 views

Why you should not become a Programmer or not learn Programming Language?
212055 views

See the Salaries if you are willing to get a Job in Programming Languages without a degree?
147843 views

Highest Paid Programming Languages With Highest Market Demand
130752 views

Python Programming Language can easily be acquired easily. How?
120051 views

Artificial Intelligence Courses Neural Networks Chatbots Certificates Machine Learning Data Deep Learning NLP Big Data PyTorch Tensorflow Keras Apache

Make the learning process easy through these Artificial Intelligence Courses

By ridhigrg |Email | Jan 2, 2020 | 3261 Views

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.

Professional Certificate in Building Chatbots Powered by AI
IBM
What you will learn
  • Understand what chatbots are, why they are revolutionary, and the business opportunity they represent;
  • Learn how to leverage Watson Assistant and its AI capabilities to build and deploy chatbots on your website (or Facebook Messenger), even if you are not a programmer;
  • Master the key principles of good chatbot design;
  • Discover how to create Node-RED applications to connect Watson Assistant with other Watson services and data sources (like Twitter) to make your chatbots smarter;
  • Understand how to integrate services like Watson Discovery to query data, extract sentiment, reveal emotions and customer preferences.

Introduction to Artificial Intelligence (AI)
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.

AI For Everyone
deeplearning.ai
About this Course
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone especially your non-technical colleagues to take. 

In this course, you will learn:
  • The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
  • What AI realistically can-and cannot-do
  • How to spot opportunities to apply AI to problems in your own organization
  • What it feels like to build machine learning and data science projects
  • How to work with an AI team and build an AI strategy in your company
  • How to navigate ethical and societal discussions surrounding AI

IBM AI Engineering Professional Certificate
IBM
About this Professional Certificate
The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunities for transforming entire industries and our very existence. After completing this comprehensive 6-course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning.

You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.

You will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.

By the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.

Source: HOB
Previous Story Next Story