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Tag: artificial intelligence certification course

The two paths from Natural Language Processing to Deep Learning

Posted on by Imarticus Learning
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The two paths from Natural Language Processing to Deep Learning

Natural Language Processing is a branch of linguistics, computer science, and artificial intelligence that deals with the interaction between computers and human language, in particular how to design computers to handle and evaluate huge volumes of natural language data. We want a computer that can “understand” the text in documents, including its context and subtleties.

As a result, the papers’ data and insights may be correctly extracted by the technology, which can also classify and arrange the documents themselves.

Massive amounts of unprocessed, text-heavy data need a system like this, which is widely used in machine learning. Professionals with expertise in designing models that analyze voice and language, find contextual correlations, and generate insights from this unprocessed data will be in high demand as AI continues to grow. Natural Language Processing and Deep Learning with Python are one of the most common phrases used in the domain of Artificial Intelligence nowadays.  

In machine learning and artificial intelligence, a technique known as “deep learning” mimics human learning processes. Data science, which encompasses the statistical analysis and forecasting models, relies heavily on deep learning techniques to do its work. For data scientists, deep learning is a godsend since it speeds up the process of processing and understanding massive volumes of data. 

It is possible to think of deep learning as the automation of predictive analytics. Deep learning algorithms are piled in a hierarchical structure of increasing complexity and abstraction, while typical machine learning algorithms are linear.

Neural Networks and Deep Learning

A Neural Network, also known as an Artificial Neural Network, is made up of layers. Imagine the neurons in a human brain; they are the computing units, and they form a single layer when layered. stacking neurons together creates several layers. It is termed the input layer because it contains the data that we are working with. We run our algorithms and get an output, which is then utilized to do our computations for the following layer, the output layer.

At each successive layer, all of one layer’s neurons are linked to those at each successive layer, which are then linked to the next layer, and so on, until we reach our output layer, where we achieve our desired outcome for the specific data we were working with. Those layers that are between the input and output layers are referred to as Hidden Layers. A Neural Network is the result of this process.

A deep neural network is an artificial neural network with two or more hidden layers, and a model built on a deep neural network is referred to as Deep Learning. 

What are the main components of Natural Language Processing?

NLP consists of a number of components, a few of them are mentioned below:

  • Analysis of morphological and lexical patterns.
  • Syntactic Analysis: Study of logical meaning from a given part of the information, be it text or audio.
  • Semantic Analysis: Used to analyze the meaning of words.

Do You Need An Artificial Intelligence Certification?

Posted on by Imarticus Learning
Reading Time: 3 minutes

Do You Need An Artificial Intelligence Certification?

AI is becoming one of the most promising and in-demand career paths today. It offers many opportunities for those with the right skill set to enter this booming industry. 

The demand for AI professionals keeps rising as more and more businesses turn to AI to improve operations and increase efficiency.

 If you want to work in AI, you may be wondering what you need to do. One way to learn AI is through an artificial intelligence course. 

If you are interested in learning more about AI, here are 8 reasons why you should earn certification in this field. 

  • Stay Up-to-date 

AI is an emerging technology, and professionals need to stay in touch with the latest trends and developments.

An artificial intelligence course provides the latest information on AI technologies and applications. Moreover, this also demonstrates your commitment to learning.

  • Validation

A certification from a top institute validates your skills and gives you credibility. This shows employers that you have the skills to work with AI technology. 

So, it’s vital to ensure that your skills are indeed validated and that you can use the certification to further your career. Imarticus Learning offers a globally recognized artificial intelligence course collaborating with IIT Guwahati.

  • Future-Proof Career

A career in AI is an excellent choice for anyone looking for a future-proof job. As artificial intelligence evolves and becomes more prevalent in society, those with the skills to work with AI will be in high demand.  So, if you decide to learn AI and take it up as a career, it’ll help you stand out from other job candidates.

  • Improves Employability

Certification from a top institute improves your employability. For instance, completing an artificial intelligence course, like that offered by Imarticus Learning, increases your employability. 

The AI and ML fields offer pretty high salary packages for their roles. For instance, the average package in India is around INR 15-40 Lacs for ML and AI roles.

You can apply your newly learned skills in various fields, such as healthcare, finance, manufacturing, and logistics.

  • Improves Marketability

An AI certification can increase your marketability, whether you want to change careers or advance in your current field.

Companies seek workers who can automate processes and make data work as the world becomes technology-driven.
An AI certification proves that you have the skills to make this happen.

  • Technical Competence

An AI certification will give you the skills to stay ahead of the curve in an increasingly competitive field and help demonstrate your proficiency and show employers that you are serious about your career in AI. 

AI programs, based on application-based learning skills, provide you with skills to build your own AI applications and apply them in a way that will benefit your business.

  • Understanding AI

Before enrolling in an AI certification course, you need to check its curriculum. In addition, you can also learn about the faculty and industry experts who’ll help you better understand how AI works. 

The course curriculum will build a strong foundation of AI concepts. And the industry experts will help with the practical implementation of machine learning, deep learning, and AI techniques through real-world projects in diverse industries.

Imarticus Learning offers an AI course with an extensive curriculum covered over nine months. 

  • Specialization

An AI certification will allow you to specialize in a particular area of artificial intelligence. AI is a vast field with many sectors and specializations. 

Here are some of the most common roles you’ll find in AI:

  • Machine learning engineer: works with data to develop and train machine learning models.
  • Business analyst: analyses business and documents its systems, assessing the business model.
  • Data analyst: interprets data and makes recommendations to help improve business decisions.
  • Web & social media analyst: analyses web and social media data to help improve online visibility and engagement.
  • Artificial intelligence engineer: develops and deploys AI algorithms and applications.
  • Data scientist: collects and analyses large data sets to find trends and insights.
  • Machine learning architect: responsible for designing and developing machine learning models and algorithms.

These are some roles you can apply to after learning AI.

Conclusion

The field of artificial intelligence is one of the most rapidly growing and exciting areas in the tech industry. If you want to enter the field of AI or advance your career, a certification may be beneficial. 

Getting a certification in AI can help you stay ahead of the curve and land a job in this cutting-edge field. This article looked at 8 reasons why you should earn accreditation in an artificial intelligence course. 

You can learn AI through Imarticus Learning’s IIT artificial intelligence course. Contact Imarticus or visit one of their centers to learn more about their world-class AI certification. 

Why Are Companies Considering Candidates With An Artificial Intelligence Certification?

Posted on by Imarticus Learning
Reading Time: 3 minutes

Artificial Intelligence has expanded at an exponential rate in recent years, despite significant progress in the field. In the field of computer science, AI practices can be found everywhere. It provides you with an idea of how many different ways a computer system can be designed.

artificial intelligence and machine learning courses in India It is designed to carry out the cognitive functions that humans have specified. This indicates that the scope of an artificial intelligence and machine learning course is enormous, and AI has potential that is currently beyond human grasp.

Scope of An Artificial Intelligence Course in India

Artificial Intelligence has enormous potential to transform every sector of the economy for the greater good.

AI encompasses a wide range of technologies, including self-improving algorithms, machine learning, big data, and pattern recognition, to name a few. There will be few industries or sectors left unaffected by this potent weapon in the not too distant future. This is why online Artificial Intelligence courses are becoming increasingly popular in India.

With each passing day, the gap between the number of AI professionals required and those available widens. Corporations are spending money to train their existing employees on Artificial Intelligence technologies. However, the demand is far higher.

Learn AI

Certification In Artificial Intelligence & Machine Learning

Learn AI via 25 in-class, real-world projects focused on offering exposure to various industries. This 9-month program will help you prepare for the roles of Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer.

artificial intelligence and machine learning courses by E&ICT, IIT GuwahatiThis machine learning certification program was established in collaboration with the E&ICT Academy, IIT Guwahati, and industry professionals to give an optimum learning outcome,

This course will strengthen your core abilities, allow you to take advantage of our Expert Mentorship program, and give you a practical grasp of AI and Machine Learning.

Data Science Prodegree

Develop your knowledge of Data Science ideas and build robust models to generate relevant business insights or forecasts with a working knowledge of critical Data Analytics technologies such as Python, R, SQL, and Tableau in these 14 in-class and industry-oriented projects.

PGP In Digital Marketing

Our Digital Marketing Postgraduate course is meant to provide you with a more in-depth and practical understanding of Digital Marketing ideas. The postgraduate program takes a collaborative approach that emphasizes several Capstone projects, job-specific skills, and guaranteed job interviews.

This course will prepare you from beginning to end to start or advance your career in the Digital Marketing segment, including resume building, mock interviews, job leads, and references, making it an ideal Digital Marketing course with a strong focus on placements to help you land your dream job.

Post Graduate Program in Data Analytics & Machine Learning

This machine learning certification program is for recent graduates and early career professionals interested in pursuing a career in Data Science and Analytics, the most in-demand job skill.

To become job-ready, master the fundamentals of data analytics and machine learning, as well as the most in-demand data science tools and methodologies.

With this placement-guaranteed program, you’ll learn Python, SQL, Data Analytics, Machine Learning, and Data Visualization. After completing the course, students are promised interview opportunities.

artificial intelligence and machine learning coursesTakeaway

AI is one of the most popular technologies on the planet because of its diversity and superior solutions. It has been rapidly expanding. As you can see, the scope of AI has broadened to include a wide range of industries, including healthcare, transportation, security, etc. Multiple industries require the expertise of experienced AI specialists as a result of this increase.

Check out Imarticus IT classes, targeted at working professionals, if you want to learn more about AI and machine learning algorithms.

What is the Artificial Intelligence Markup Language?

Posted on by Imarticus Learning
Reading Time: 2 minutes

Artificial intelligence is the technology of the future. It has exploded onto the world ever since it was first developed, and the technology has since been implemented in a lot of fields, ranging from healthcare to warfare. AI looks all set to stay and is sure to play a huge role in how the future of humanity is shaped.

However, it should be noted that AI was not always developed using popular languages today. Currently, Python and R represent the most popular languages which are used in machine learning and consequently, in AI too. However, there are a lot of other languages and methods which were used at times to various ends.

AIML was one such language which was used in the development of early chatbots. Digital assistants or chatbots truly represent the dawn of a new chapter in the scientific advancements of humankind. Chatbots are now increasingly becoming a part of most companies, and most of the internet users have already interacted with a chatbot in some form or other.

Being an AI aficionado or a prospective practitioner, you can surely try to build a chatbot from scratch in order to gain some practice in Artificial Intelligence.

What is AIML?
Artificial Intelligence Markup Language or AIML was created by Dr Richard Wallace and is currently offered as an open source framework for developing chatbots. It is offered by the ALICE AI Foundation so that users can create intelligent chatbots for their use from scratch.

AIML is an extremely simple XML, just like HyperText Markup Language or HTML. It contains a lot of standard tags and tags which are extensible, which you use in order to mark the text so that the interpreter which runs in the background understands the text you have scripted.

If you want the chatbot to be intelligent, it is important to have a content interface through which you can chat. Just like XML functions, AIML also characterizes rules for patterns, and decide how to respond to the user accordingly. AIML has several elements in them, including categories, patterns, and templates.

Categories are the fundamental units of knowledge which are used by the AIML and is further divided into the two other elements mentioned above – templates and patterns. In layman’s terms, patterns represent the questions asked by the user to the chatbot, or what the chatbot perceives as questions which need to be responded to.

The templates are the answers which it remembers based on its training, and which are subsequently modified and presented as replies to the users. Template elements basically include text formatting for the responses, conditional responses taught to it including many if/else scenarios and random responses which always come in handy while interacting with a user.

AIML is now open source, and users can start to create a chatbot by learning the fundamentals of the language. If you find yourself yearning to know more about this and AI in general, you should check out the many artificial intelligence courses on offer at Imarticus Learning.

What is the Best Programming Language For Artificial Intelligence Projects?

Posted on by Imarticus Learning
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Artificial Intelligence is the hot topic of the last couple of years and is all set to be the science of the future. It has already opened up a realm of possibilities for humans, and by taking advantage of a machine and deep learning, it is no doubt going to play a huge role in the future of humanity. You can do almost anything with this technology – even build apps which can hear, see and react accordingly.

A lot of newcomers are beginning to get into programming for AI, considering how important it is turning out to be. However, with the plethora of options available, it can be difficult to choose a particular language for programming. Let us consider the many languages which are currently being used for AI development.

Python
Currently rising in popularity, it is one of the main languages which come up in how to learn machine learning. Being extremely simple to use and learn, it is preferred by many beginners. Compared to other languages like C and Java, it takes extremely less time for implementation.

Another advantage is that with Python, you can opt for procedural, objective oriented or functional style of programming. There are also a lot of libraries which exist for Python, which make programming considerably easier.

Java
A comparatively older option, it first emerged in 1995 – however, it’s importance has only grown at an unparalleled rate since then. Highly portable, transparent and maintainable, this language also has a large number of libraries to make it easier for the user.

Java is incredibly user-friendly and easy to troubleshoot and debug, and the user can also write code that runs on different platforms with ease. The Virtual Machine Technology implemented in Java is key to this feature, actually. Many Big Data platforms like Apache Spark and Hadoop can be accessed using Java, making it a great all-around option for you.
Julia
Developed by MIT, this language is meant for mathematical analysis and numerical computing to be done in a high-performance fashion. These features make it an amazing choice for AI projects since it was designed keeping the needs of Artificial Intelligence in mind. Separate compilation is done away with, too – however, it is only growing, so it does not have the same number of libraries as the others.

Haskell
Haskell, unlike Java, is a great choice for engaging and working with abstract mathematical concepts. You can create AI algorithms using the expressive and efficient libraries which come with the language, and the language is far more expressive compared to many others.

Probabilistic programming is also a cakewalk since developers are able to identify errors relatively quickly, even during the compile phase of iteration. However, you still cannot expect the same level of support that Java and Python offers.

You will need to learn some machine learning skills, if you are to have a long career in this field – in order to do that, you should check out the big data and machine learning courses on offer at Imarticus Learning.

Can You Integrate AIML with Android App?

Posted on by Imarticus Learning
Reading Time: 2 minutes

 

Artificial Intelligence has quickly become one of the most important fields to humanity today. The subject of an increased amount of research, AI is currently one of the few fields which are soaring with no end in sight today. It can be said that the very future of humankind now depends upon AI, and how it develops in the future – such is the reach of Artificial Intelligence in the modern world.

With such a rapid rise in the field of AI, there is no doubt that the demand for talented people in the field is higher than ever. If you want a career which is challenging yet satisfying, Artificial Intelligence is definitely one of the best options. However, you should start learning more about AI quickly, and what better way to put your skills into test than building a chatbot?

Chatbots are one of the latest sensations sweeping over AI practitioners. Chatbots are now increasingly becoming a part of most companies, and most of the internet users have already interacted with a chatbot in some form or other. Being an AI aficionado or a prospective practitioner, you can surely try to build a chatbot from scratch in order to gain some practice in Artificial Intelligence. A conversational assistant is a challenge to create because it has to give a new answer to the same questions and learn from the answers of the user, too. You can build simple chatbots with ease, and port it into android apps too, in many ways.

AIML was one such language which was used in the development of early chatbots.

What is AIML?

Artificial Intelligence Markup Language or AIML was created by Dr Richard Wallace and is currently offered as an open source framework for developing chatbots. It is offered by the ALICE AI Foundation so that users can create intelligent chatbots for their use from scratch. AIML is an extremely simple XML, just like HyperText Markup Language or HTML.

It contains a lot of standard tags and tags which are extensible, which you use in order to mark the text so that the interpreter which runs in the background understands the text you have scripted.

Steps to Integrate Chatbots into Android Apps

The steps covered here are not comprehensive in any way, but only an outline which you can follow in order to make what you want. These do not contain any codes, because that would defeat the purpose of creating an android app chatbot from scratch.

However, you can always skip the parts you are uninterested in, like the design aspects of the app and the likes.

The first step is to create a chat UI and interface using Android Studio. Using XML, you can do this with only a basic understanding of the language. It should have an adapter too, for the different view types.

The, import the AIML files that you have written beforehand to your app. Then, the task you have is to modify the MainActivity.java in such a way so as to include the class Bot in it.

Obviously, there is a lot of coding involved if you want to build the bot from scratch. However, integration is definitely possible, too. If you find yourself interested in learning more, you should check out the artificial intelligence courses in India on offer at Imarticus Learning.