Friday, November 29, 2019

The best Online Tutorials On Artificial Intelligence For Beginners

The ultimate goal of artificial intelligence is to create computer programs that can solve problems and achieve goals like humans would. There is scope in developing machines in robotics, computer vision, language detection machine, game playing, expert systems, speech recognition machine and much more.
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To take your first steps down the artificial intelligence career path, hiring managers will likely require that you hold at least a bachelor’s degree in mathematics and basic computer technology. However, for the most part, bachelor’s degrees will only get you into entry-level positions.Following are some of the online tutorials for those who wish to start their career in artificial intelligence.

6 Best Artificial Intelligence (AI) Certification Courses,Tutorials Online

Duration : 00:38:41
Rating: 4.5 out of 5
You can Sing up here

2. Let WIX, Artificial Intelligence (ADI) Build Your Website

This course will give you a good introduction to WIX Artificial Intelligence (ADI) which will create your web site with features such as Online Shopping, Online booking, Blog and more…Think of ADI as your new Web Site Robot Builder & an intuitive learning tool which does things for you and teaches you how things are done.
By the end of this course you will be able to:
  • Use WIX ADI to let it create your own web site in minutes
  • Let it change the web design, themes, color, fonts, add animation etc. to suite your need and obtain the desired look & feel
  • You will be able use WIX ADI tool to create your desired web site whether it is an Online Shop, Online booking, Blog, business or consulting services depends on how you instruct ADI
  • You will master the tool and it will improve your site to give it a professional look and feel
Duration : 00:17:53
Rating: 4.2 out of 5
You can Sign up here

3. Learn Artificial Intelligence For Beginners

This course  will give you the knowledge of the fundamentals concepts of the field of Artificial Intelligence. This course is designed specifically for beginners where we will take you step by step through our intuitive curriculum. Please have a look through the concepts and work your way through the quizzes.
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If anyone already has the knowledge of the fundamentals, please check through the curriculum to see if you need this course, after all our time is precious. We do not want you to repeat anything. We would highly encourage you to look at the contents menu first and see if you really need to take this course.
Who this course is for:
  • Anyone who is a beginner at AI
  • Anyone who wants to learn about Artificial Intelligence
  • Anyone who wants to start a business with Artificial Intelligence
  • Anyone who wants to know about the AI industry
  • Students, Scientist, Engineers
What will you learn
  • Definition of Artificial Intelligence
  • Application of Artificial Intelligence
  • History of Artificial Intelligence
  • Definition of Machine Learning
  • Types of Machine Learning
  • Industry Situation and Opportunities
  • What are Expert Systems?
  • What is Computer Vision?
  • What is Fuzzy Logic System?
Duration : 01:08:46
Rating: 4.4 out of 5
You can Sign up here

4. Road Map To Artificial Intelligence And Machine Learning

This course is created for all the Artificial Intelligence Aspirants and will discuss the following
  • What are prerequisites for learning AI?
  • What is Road map to start Machine learning project(ML)
  • How to choose the best programming language for AI ?
  • How much Mathematical knowledge needed for AI ?
  • Which is the best AI Engine/Tool/Framework for AI ? and so on…
Who this course is for:
  • Artificial Intelligence Aspirants
  • Machine Learning Aspirants
  • Curiosity to know about Artificial Intelligence
Basic knowledge
  • Passion to learn alone is enough to start this course
What will you learn
  • Basic Idea of Artificial Intelligence and Machine Learning
  • Prerequisites or Road map to start Machine learning project(ML)
  • How to choose the best programming language for AI ?
  • How much Mathematical knowledge needed for AI ?
  • Which is the best AI Engine/Tool/Framework for AI ?
  • Why do we need to learn Algorithm?
  • Types of Machine Learning Algorithms with Real time scenario examples
Duration : 00:54:03
Rating: 4.1 out of 5
You can Sign up here

5. Artificial Intelligence In FinTech

In recent years, explosion of data, inexpensive computing power and developments in big data processing infrastructure have led to increased use of Machine Learning in all industries. So, financial services incumbents as well as FinTech startups are using Machine Learning and Data Science to improve business economics and maintain/create their competitive advantage. Since data volume is only expected to increase in this digital world, Machine Learning and Artificial Intelligence are expected to get ubiquitous in the coming years with wide range of implications for FinServ and FinTech companies.This course is recommended for anyone who is interested in learning about application of AI and ML in the financial services industry.
This course will cover:
  • Basic concepts related to Data Science, Machine Learning and Artificial Intelligence
  • History of Machine Learning and AI in Financial Services and FinTech
  • Closer look at several ML and AI financial services use cases (B2B and B2C)
  • Future trends and its potential impact to the financial services industry – including job displacement and new career options.
Duration : 01:36:23
Rating: 4.3 out of 5
You can Sign up here

6. Artificial Intelligence In Digital Marketing In 2020

This video course will help you to prepare, and explain a number of concepts like AI vs Machine Learning,How to conduct SEO now that Google is an “AI first” company,Chat bots,Programmatic advertising,Big data,Rank Brain,Digital assistants,Data science,SQL,Latent Semantic Indexing and The future of internet marketing.In this course, you will gain a crystal ball with which to gaze into the future of internet marketing, and to ensure that you are ready for all those changes when they come.
What will you learn
  • What Is AI And Machine Learning?
  • Google As An AI-First Company
  • Preparing For Semantic Search
  • Big Data
  • Computer Version
  • Advertising
  • Email Marketing
  • Chatbots
  • Developing Your AI Skills – Using SQL
  • How To Future Proof Your Marketing
Duration :00:48:12
Rating: 4.2 out of 5
You can Sign up here

Tuesday, November 19, 2019

Artificial Intelligence tutorials for beginners



One of the unmissable topics in today’s technology world is Artificial Intelligence, and quite rightly so. For, it can be called the mother of all new technologies: related technologies such as Machine Learning, deep learning, data science, Big Data, Internet of Things, and such others owe their development to AI in a way. All these put together make a bunch of technologies that will make our not so distant world unrecognizable from what it is today.

The one big thing about technology is that it is global. It may not develop in all the parts of the world equally and simultaneously, but its impact is felt globally, and its spread is very, very rapid in almost all parts of the world. This is a giant leap from the days of the Industrial Revolution, where one development in one part of the world would normally take decades to reach another.
Now that we have the advantage of time and distance, it is quite natural to assume that like most other present-day technologies, AI too, will be spread all over the world, albeit lopsidedly, at least initially. This is the ripest time to make a future in AI, as these mouthwatering global Artificial Intelligence market figures will illustrate:

-        In the ten years from 2016 to 2025, the global market for AI is expected to grow 40 times;
-        AI is expected to push the global GDP by around $16 trillion;

-        More than three-fourths of the devices we use in our daily lives use AI in one or another form
And now, what should be the most fitting statistic for which you should take up a career in AI: Investment in AI grew 600 percent in less than two decades from 2000, and the number of startups doing direct work in AI grew 1400 percent during the same period.
If these statistics are causing your heart to beat faster in excitement, let us make a small introduction about AI tutorials for beginners.

First, a basic understanding of AI 


As with any introduction, it is necessary for us to get a simple understanding of Artificial Intelligence, which will serve as a good basis to Artificial Intelligence tutorials for beginners.
Artificial Intelligence is the ability of a machine to go beyond mechanical tasks and perform cognitive functions. When a machine can learn, understand and reason, all of which it uses to help solve problems, it is understood that it has Artificial Intelligence
For all this to happen, the machine should be able to think, that is, it should have a certain level of intelligence, or cognitive ability. When a machine is equipped with this quality, it can be said to have Artificial Intelligence, which is a mirror image of these same qualities that we humans have been endowed with.

Enhancing your learning in AI is just a step away!

We believe that if you want to make a career in AI, there is no better time than now! The statistics presented above are just the tip of the iceberg. The demand for anyone who can make something creative and useful in AI is enormous at this point of time, where the world is looking for these technologies like never before.

What better way to launch your career in AI than through highly valuable online course by Simpliv? They are designed by industry experts, offer flexibility in learning, and award certification. We look forward to seeing you enroll for any of our Artificial Intelligence courses, which will augment your career in a big way.

We would like to know your thoughts. Please feel free to write to us about your thinking about this article in our Comments section!





Tuesday, November 12, 2019

Artificial Intelligence and Big Data: more convergence than divergence



No talk about technology today is complete or meaningful without a reference to two of the technologies that have the potential to make effective changes into our future: Artificial Intelligence (AI) and Big Data. Among the prime technologies that will shape our future; Artificial Intelligence and Big Data are different from each other in that they are fully developed disciplines by themselves.
Yet, they need to converge and coordinate with each other for one to help realize the potential the other has. Although they carry their innate differences and uniqueness; they need to be utilized in the right measure if their full power is to be realized. In this blog, let us try to discover how the two technologies help businesses take better informed and insightful decisions when they work together.
AI and Big Data need each other in fundamental ways
The best way of understanding the differences between AI and Big Data is that the more they differ from each other in terms of their features and functionalities; the more they converge in terms of their uses for organizations. To help us understand how, it is necessary to first get a very brief understanding of these two technologies:
In simple terms, Artificial Intelligence is the use of technology to help machines think like humans. AI enables them to go beyond basic functions such as calculation and makes them draw inferences and conclusions using data supplied to them, much the same way humans do. AI uses two disciplines, namely Machine Learning and deep learning, to perform its functions.
Big Data, as the term suggests, is the accumulation of the data that AI needs to perform its functions. AI cannot work in a vacuum and needs data to carry out its functions. Big Data collects huge amounts of data from the www in various forms and sizes through its own method, which per se has nothing to do with Artificial Intelligence. Yet, all of this can be of tremendous use for organizations when analyzed and used rightly, something that only Artificial Intelligence enables.
Less independence, more dependence
From this simple fact, it becomes clear although Artificial Intelligence and Big Data are independent of each other in one sense, they are indispensable to each other if they have to help organizations derive the most of them. Artificial Intelligence in itself cannot realize its full potential without data, and Big Data cannot bear fruition unless it has AI to help it do the same.
So, when it comes to analyzing how Artificial Intelligence and Big Data are related to each other, it is clear that in spite of their singularity; they both need each other to maximize and optimize their individual abilities, none of which can function or be realized without the other. To give a small example, let us say we want to better the performance of cars by using AI. This is perfectly possible, but how? AI needs lots and lots of data to understand how cars function. Or, what kind of intelligence will AI provide to a retail business, to use another example, if it has no idea of what it is analyzing? In both instances, it is Big Data that provides the inputs. It is thus abundantly clear that Artificial Intelligence and Big Data complement each other.
Want to learn more about these two wonderful technologies? Simpliv has the answer. In particular, its courses on Artificial Intelligence and Big Data are designed keeping you in mind! Do visit these links, which will put you on the course to a promising career in these growing areas of technology.
You could also write back to us to let us know what you think about the usefulness of this blog. We would love to hear from you.