Post Pandemic Era: Artificial Intelligence

According to the textbook definitions, artificial intelligence (AI) also referred to as machine intelligence is simply the intelligence displayed by machines. In common language, the term “artificial intelligence” is often used for machines which are able to perform logical functions that mimic the human mind.

With the rise in a number of machines and their increasing smartness, there comes an inevitable demand of creators who program them. These professionals are called artificial intelligence engineers. An AI engineer is a person who works with modern machinery and programming to create new-age intelligent devices incorporating the ability to learn from experiences and pattern recognition. To put it simply, an AI engineer is a person who works with issues regarding AI technologies.

As AI is a relatively new field, it has captured the interest of many. There is a definite road to becoming a successful AI engineer i.e.  The study of Artificial Intelligence engineering. Here is the stepwise breakdown to the process:

·        Starting from the basics, you need to earn a bachelor’s degree in any of the artificial intelligence courses like- computer science, mathematics, information technology, statistics, finance etc.

·        Improve your technical skills. Start by getting advanced knowledge on statistics, design patterns, deep learning, neural networks, modularity etc.

·        Two most important skills for any AI engineer to master are mathematics and programming. Make sure you have a firm grasp on programming languages and statistical significance.

·        You can pursue a master’s degree in fields such as computer science, Mathematics, Data science etc.

·        Earn certifications for specified AI courses.

·        Develop your soft skills such as creativity, business knowledge, patience and communication.

·        Expand your exposure, take up projects and upload them on various platforms.

Remember, the experience will always help. Try to work for your betterment.

You can pursue artificial intelligence courses at many reputed colleges in India. In Delhi NCR, there are many prestigious institutions offering a variety of courses for their students. IIMT College of Engineering, Greater Noida, bags a position among top private engineering colleges of UP as well as Delhi NCR.

 

 

A brief outline of Engineering

    What is engineering?

If we go by the textbook definition, engineering is simply the practice of using scientific and mathematical ideas to build structures, machines and solving problems.

Scientists discover and create new innovations, but engineers are the ones who make these innovations practically available to us.

History of engineering:-

Engineering has existed among us since ancient times, but it became identifiable until later. The term itself gained meaning in the fourteenth century when the engineer was used to describing a person who built engines.  In historic times, engineers have created architectural masterpieces such as pyramids and towers and many more wonders of the world.

Nowadays, this is classified into a specific branch of engineering called civil engineering.

 What do engineers do?

Engineers are the connecting links between scientists and society.  They convert the principles and theory of mathematics and science into practical solutions.

 Types of engineers:-

The field of engineering is divided into many areas, but basically, there are four types of engineering- chemical engineering, electrical engineering, civil engineering, and mechanical engineering.

1.    Chemical engineering- It implies the principles of physics, chemistry biology and mathematics to carry out chemical processes at a commercial scale.

2.    Electrical engineering- It comprises of studying, designing, constructing, manufacturing, control, testing and inspection of electrical and electronic devices and systems ranging from small microscopic circuits to huge electric power plants.

3.    Civil engineering- civil engineering is the designing and construction as well as maintenance and inspection of buildings and infrastructure.  

4.    Mechanical engineering- It involves and manufactures along with maintenance and inspection of machinery and mechanical systems.

5.    Computer Science engineering- it includes the designing of computer hardware as well as programming the software.

6.    Artificial Intelligence engineering- As the name suggests, artificial intelligence engineering accommodates working with all sorts of AI.

7.    Aerospace engineering- Designing, manufacture and testing of aircraft is the major of aerospace engineering.

8.    Nuclear engineering- nuclear engineering is concerned with applications of nuclear physics to benefit the humankind.

9.    Marine engineering- Marine engineering is associated with ocean resources.

There are various other principles of engineering which involve the fusion of more than one field of engineering. Interdisciplinary engineering involves more than one principles of engineering.

·       How to pursue engineering?

For entering this field, you need to clear your intermediate with mathematics as a compulsory subject.

Next step is to pursue a bachelor degree in engineering (like B.tech) with the field of your choice.

Enhance your skills, practice a lot and opt for a suitable master’s degree. Then you can go for further studies or a job depending on your choice.

DATA SCIENCE: A NEW DIMENSION

The need of the hour has been  focused and shifted to Data Science being the ever evolving industry at the current scenario. Being the interdisciplinary field that uses the scientific methods, processes and algorithms to develop the simple task for all the complex visualities and arenas.

Commonly known as "21st century oil", our digital data is extremely important in the field. They have unparalleled benefits in business, research and in our daily lives. Your way of working, your latest Google search for the nearest cafe, your Instagram post of what you ate and even your fitness tracker's health data are all important to different data scientists in different ways.

Data science searches for huge amounts of data, searches for connections and patterns and is responsible for bringing new results, providing positive ideas and simplifying our lives.

NBAaccredited college, IIMT COLLEGE OF ENGINEERING, penetrated and deep dived its students and faculties into the latest technology trend by conducting various sessions and enhancing upon the knowledge.

Data science encompasses a wide range of disciplines and areas of expertise to produce a holistic, in-depth and sophisticated view of raw data. Data scientists must be competent in everything from data engineering, math, statistics, advanced computers, and visualizations to effectively search confusing masses of information and communicate only the most essential pieces that will help drive innovation and efficiency.

Recommendation techniques has been trending all across the globe, Data Science being blended with B.Tech Artificial Intelligence and Machine Learning has been progressively enhanced the corporate, educationalist world in the advancements of technology.

With the advents of data science, the expectation from Data Scientist have expectedly increased as the communication channels have become progressively diversified. The pre requisite skills is to develop oneself in the coding, statistics and algorithm development, where UPSEE engineering colleges in Greater Noida have been effectively enhancing the students with the learning of Python Language as it is the most required programming language and one of the prior skill an engineer should develop.

The era of coding has been changes, where there was time where thousand lines of codes were developed, now with the development of Python language the same coding has been reduced to mere six-ten lines. Yes this is the time to focus and shit the progression in these coding developments.

There are huge volumes of data being processed, these data are communicated in seconds to various platform in one go. The visualization and the automation in the system techniques has advanced itself progressively. 

Be it the field of self-driving cars, health care, logistics, entertainment and Cybersecurity, Data Science is the field to go for.