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Artificial Intelligence Tutorial : All you need to know about AI

Last updated on Apr 15,2024 23.3K Views

Kislay Keshari
Kurt is a Big Data and Data Science Expert, working as a... Kurt is a Big Data and Data Science Expert, working as a Research Analyst at Edureka. He is keen to work with Machine Learning,...
2 / 12 Blog from Introduction to Artificial Intelligence

Artificial Intelligence is a Buzzword in the Industry today and for a good reason. AI or Artificial Intelligence has already made so much progress in the Technological field and according to a Gartner Report, Artificial Intelligence is going to create 2.3 million Jobs by 2024, replacing the 1.8 million it will eliminate. So, Let’s get started with this Artificial Intelligence Tutorial in the following order:


What is Artificial Intelligence?

AI is a technique that enables machines to mimic human behavior. Artificial Intelligence is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making and translation between languages.AI Engineer

If you ask me, AI is the simulation of human intelligence done by machines programmed by us. The machines need to learn how to reason and do some self-correction as needed along the way.

Artificial Intelligence is accomplished by studying how human brain thinks, learns, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems. So, Let’s continue this Artificial Intelligence Tutorial and understand it’s importance.

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Importance of Artificial Intelligence

Artificial Intelligence (AI) has made it possible for machines to learn from experience and grow to perform human-like tasks. A lot of flashy examples of Artificial Intelligence you hear about like Self Driving Cars, Chess Playing Computers rely heavily on Deep Learning and Natural Language Processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.

There are a lot of Areas which contribute to Artificial Intelligence namely:

  • Mathematics
  • Sociology
  • Philosophy
  • Computer Science
  • Psychology
  • NeuroScience
  • Biology



If we have a look at the Importance of Artificial Intelligence:

  • AI automates Repetitive Learning and discovery through data. Artificial Intelligence performs frequent, high-volume, computerized tasks reliably and without fatigue


  • AI adds intelligence to existing products. In most cases, AI will not be sold as an individual application. Rather, products you already use will be improved with AI capabilities, much like Google Assistant was added as a feature to a new generation of Mobile Phones.


  • AI adapts through progressive learning algorithms to let the data do the programming. The algorithm becomes a classifier or a predictor. So, just as the algorithm can teach itself how to play any game, it can teach itself what product to recommend next online.


  • AI analyzes more and deeper data using neural networks that have many hidden layers. You need lots of data to train deep learning models because they learn directly from the data. The more data you can feed them, the more accurate they become.


  • AI achieves incredible accuracy through deep neural networks, which was previously impossible.  AI techniques from deep learning, image classification, and object recognition can now be used to find cancer on MRIs with the same accuracy as highly trained radiologists.

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Now, Let’s continue this Artificial Intelligence Tutorial and understand the various applications of Artificial Intelligence in the industry.

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Applications of Artificial Intelligence

There are various applications of Artificial Intelligence in the Industry, here are a few of the important ones that are present in our Day to Day tasks.

  • Speech Recognition

speech-recognition-Artificial Intelligence Tutorial

  • Machine Translation



  • Facial Recognition and Automatic Tagging



  • Virtual Personal Assistants

virtual-assistants-Artificial Intelligence Tutorial


  • Self Driving Car

self-driving-car-Artificial Intelligence Tutorial


  • Chatbots

chatbot-Artificial Intelligence Tutorial


Domains of Artificial Intelligence

Artificial Intelligence covers a lot of Domains Nowadays. Let’s continue this Artificial Intelligence Tutorial and discuss the Major Domains with heavy research going on which are namely:

  • Neural Networks:

Neural NetworksNeural Networks are a class of models within the general machine learning literature. Neural networks are a specific set of algorithms that have revolutionized machine learning and Artificial Intelligence.


  • Robotics:



Robotics is a branch of AI, which is composed of different branches and application of robots. AI Robots are artificial agents acting in a real-world environment. Artificial Intelligence Robot is aimed at manipulating the objects by perceiving, picking, moving, and destroying it.


  • Expert Systems:

Expert Systems


In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert. It is a computer program that uses artificial intelligence (AI) technologies to simulate the judgment and behavior of a human or an organization that has expert knowledge and experience in a particular field.


  • Fuzzy Logic Systems:

Fuzzy logic is an approach to computing based on “degrees of truth” rather than the usual “true or false” (1 or 0) Boolean logic on which the modern computer is based. Fuzzy logic Systems can take imprecise, distorted, noisy input information.

Fuzzy Logic Systems


Fuzzy logic is a solution to complex problems in all fields of life, including medicine, as it resembles human reasoning and decision making.


  • Natural Language Processing:

Natural Language Processing (NLP) refers to the Artificial Intelligence method of communicating with intelligent systems using a natural language.

Natural Language Processing

By utilizing NLP and its components, one can organize the massive chunks of text data, perform numerous automated tasks and solve a wide range of problems such as –  Machine translation, Named Entity Recognition, Sentiment Analysis, Speech Recognition, and Topic Segmentation etc.



Artificial Intelligence Job Profiles

According to the job site Indeed, the demand for AI skills has more than doubled over the past three years, and the number of job postings is up by 119 %. This Artificial Intelligence Tutorial will be incomplete without the different Jobs Profiles. So, if Artificial Intelligence appeals to you and you want a Job in the AI field, then here are the different Job Profiles you can apply for if you have AI Skills.


1. Machine Learning Engineer

Machine learning engineers are sophisticated programmers who develop machines and systems that can learn and apply knowledge without specific direction. Artificial intelligence is the goal of a machine learning engineer.

They are computer programmers, but their focus goes beyond specifically programming machines to perform specific tasks. They create programs that will enable machines to take actions without being specifically directed to perform those tasks and earn a whopping $111,490 per annum.


2. Data Scientist

Data scientists are those who crack complex data problems with their strong expertise in certain scientific disciplines. They work with several elements related to mathematics, statistics, computer science, etc.

The data scientist role is a position for specialists. You can specialize in different types of skills like speech-analytics, text analytics (NLP), image processing, video processing, medicine simulations, material simulation, etc. Each of these specialist roles is very limited in number and hence the value of such a specialist is immense with an average Salary of $91,470.


3. Artificial Intelligence Engineer

An artificial intelligence engineer works with algorithms, neural networks, and other tools to advance the field of artificial intelligence in some way. Engineers may also choose between projects involving weak or strong artificial intelligence, where different setups focus on different capabilities. the salary for an AI Engineer is around $105,244.


4. Business Intelligence Developer

A Business Intelligence developer spends a lot of time researching and planning solutions for existing problems within the company. The Business Intelligence Developer is responsible for aggregating data from multiple sources in an efficient data warehouse and designing enterprise-level solutions for very large multidimensional databases.

Business intelligence developers play a key role in improving the efficiency and profitability of a business. It’s a career that’s in high demand and commands an annual median salary of $92,278.


5. Research Scientist

Research scientists are responsible for designing, undertaking and analyzing information from controlled laboratory-based investigations, experiments, and trials. You could work for government laboratories, environmental organizations, specialist research organizations or universities and earn an average salary of $105,666.


6. Big Data Engineer/Architect

Big data engineers and architects have among the best paying jobs in artificial intelligence. In fact, they command an annual median salary of $151,307. 

The Big Data solutions architect is responsible for managing the full life-cycle of a Hadoop solution. This includes creating the requirements analysis, the platform selection, design of the technical architecture, the design of the application design and development, testing, and deployment of the proposed solution.


Companies Hiring

Companies that hire top AI talent range from startups like Argo AI to tech giants like IBM. According to Glassdoor, these are the leading employers who hired top AI talent over the past year.

companies-hiring-ai-engineers-Artificial Intelligence Tutorial


So, with this, we come to an end of this Artificial Intelligence Tutorial article. I Hope you got an understanding of the various elements of Artificial Intelligence and where AI is used. The different job profiles one could go for once got the right skills.

So, this Artificial Intelligence Tutorial is based on the AI Course is curated by industry professionals as per the industry requirements & demands. You will master the concepts such as SoftMax function, Autoencoder Neural Networks, Restricted Boltzmann Machine (RBM) and work with libraries like Keras & TFLearn. The course has been specially curated by industry experts with real-time case studies. 

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Got a question for us? Please mention it in the comments section of “Artificial Intelligence Tutorial” and we will get back to you.

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