How to become an AI Engineer?

 Nowadays, The Demand for Artificial Intelligence is increasing day by day and most of the engineering students want to become an AI Engineer. In the coming days, AI will revolutionize all industries and will rise in demand for AI in every sector. Therefore the demand for the job for AI is increasing. As per the report, AI will create a Business value worth around US$4 trillion by 2022. There are several artificial intelligence experts coming forward and distributing their projects. The reality is that it is not so easy to become an Artificial Engineer, but the positive thing is if the candidates are already aware of different programming languages, basic concepts in computer science, and technology resources, then it's good to go on learning and expecting an Artificial Intelligence Engineer.

 

What Does AI Engineer do?

 

AI Engineers build AI models and work on a variety of projects and by depending on the role, the main responsibility of the job could be:- 

• computer programming languages such as Java, Python or C, 
• working with data, algorithms, and good knowledge in statistics, 
• Using data modeling and evaluation strategies
• Work with Robotics team
• Perform AI/ML Testing
• Applying Machine Learning algorithms and libraries
• Research and Design Deep Learning algorithms
• AI Engineers have a good understanding of Data Science
• Convert machine learning models into application program interfaces ( APIs), so that it can be used by other applications

But there are many AI engineers who may work on different projects for example if they are working on self-driving car projects there could be elements of computer vision, creating deep learning models, sensor fusion, and programming languages.

 

Step To Becoming and AI Engineer

 

Earn an Educational Qualification 

 

To become an AI Engineer first you have to take the right qualification and you need to earn a bachelor’s degree because it is the most important part of the journey to becoming an AI engineer. 

Education required:

• Bachelor’s degree in IT, Computer Science, Statistics, Data Science, Finance, Economics, etc.
• Master’s degree in Computer Science, Mathematics, Cognitive Science, Data Science, etc.
• Certifications in Artificial Intelligence, Data Science, Machine Learning, etc.

Programming Skill

 

Programming is the first skill needed to become an AI Engineer and you have to become proficient in programming languages. You need to choose one or more languages that will help you discover the AI capabilities and apply them. Some of the many languages that work well with AI such as Java, Python, C++, Lisp, R, Prolog, etc. to build and implement models.

You can also start with Java or C++, but you'll face multitasking and portability issues. But Also, Python will not be so enough, so we suggest, better start with Python or R and finally move to learn algorithms.

Statistical knowledge/calculus/Algebra 

 

Coming to statistical knowledge, you must be intimately familiar with the vectors, and matrixes. If you understand derivatives and integrals, you have to be in the clear. Statistics is going to come up a lot. You also need to have a firm understanding of the probability of understanding models such as Naive Bayes, Gaussian Mixture Models, Hidden Markov models. you will need detailed knowledge of statistics, calculus, or algebra, and probability to improve your AI program.

 

Algorithms and Applied Mathematics

 

To become a successful AI Engineer, You must have in-depth knowledge of algorithm theory and how algorithms work. Artificial Intelligence would need you to know subjects like Gradient Descent, Lagrange, Quadratic Programming, Partial Differential Equation, etc. At first, all these maths can seem intimidating if you've been away from it for a while. Be prepared, Machine Learning and Artificial Intelligence are much more math-intensive than advances at the top.

 

Natural Language processing

 

Natural Language Processing combines two main fields of Machine Learning and Artificial Intelligence: Linguistics and Computer Science. You have a very high chance to work with either text, audio, or video. So it is important to have good control over libraries such as Gensim, TextBlob, Core NLP, NLTK, and techniques such as word2vec, Sentimental Analysis, and Summarization.

 

Neural Networks

 

At times, we may need Machine Learning for tasks that are too complicated for the developer to code directly.  It is here where the neural networks come in. Neural networks are modeled after the human brain, capable of identifying numerical patterns based on sensory input.

Naturally, the Artificial Intelligence field has evolved single-layer neural networks into Deep Learning neural networks, in which data is passed through several layers for more complex pattern recognition. Deep neural networks have by far been the most effective way to tackle complex problems, such as Translation, Speech Recognition, and Image Classification, which play a very important role in AI. 

 

Communication and problem-solving skills

 

AI developers need to interact effectively with stakeholders in order to sell their products and ideas. They should also have outstanding problem-solving skills to overcome barriers for decision-making and draw valuable insights for business.

 

Analytical Skills

 

To become a successful AI Engineer, you have to quickly check the numbers and data. This requires analytical thinking. You must have to ask questions to the data analytics team to ascertain the feasibility of data and brainstorm with the key stakeholders.

 

 Spark and Big Data Technologies

 

AI engineers work with large volumes of data in terabytes or petabytes which could be streaming or real-time production-level data. To make sense of such data, those engineers need to know about Spark and other big data technologies. Other Big Data technologies, such as Hadoop, Cassandra, and MongoDB, can also be used along with Apache Spark.

 

Business Acumen

 

The most successful, also common, Artificial Intelligence projects require working on the front and solving weak pain points. Whichever sector you are in, you need to be aware of the market, the consumers, and the way the core business works. If you do not have the business acumen to convert your technological ideas into a successful business model then it would be less beneficial to have such technical skills.

 

Certification course

 

To be an AI engineer, it is highly recommended that you complete a certification course in data science, machine learning or artificial intelligence. These certifications will add value to your CV and help you gain in-depth knowledge of AI topics, along with hiking up your pay to match the salary of an AI Engineer.

 

Also Read: How Artificial Intelligence can Impact Cyber Security

 

So here you can see the process to become an AI Engineer. If you want to start your career in Artificial Intelligence and want to do a certification course to add value to your CV then join “Nearlearn”. Nearlearn is the Foremost Artificial Intelligence Training Institute in Bangalore and also the best Machine Learning Training Institute. They provide highly skilled trainers having 10+ years of industry experience in these filed. They provide both online training and classroom training facilities. After completion, of course, they help you to get placement in various companies and also provide internship facilities to their students. 

 

For more information contact us:

Visit: www.nearlearn.com

How Artificial Intelligence can Impact Cyber Security

 As we all moving towards digitization and now many works are done through Digital medium. If we analyze then we will found that almost 65% of works are done digitally. Digital works give a lot of relaxations and it makes our work easier and efficient. Today’s modern age, where all devices are connected either to the internet or some other modes of networks and by the rising of digitalization, cybercrime is also increasing day by day. Many hackers hack companies/organization’s confidential data and charge a lot of money from those companies or organizations. 

So Many companies are focusing more on Artificial Intelligence to enhance cyber securities.

AI has impacted security by helping professionals detect network irregularities through user behavior analysis and pattern research. Security professionals can now use AI to research network data and identify vulnerabilities to avoid harmful attacks. AI acts as a tool in the cybercriminals arsenal who use Intelligence to improve and upgrade their cyber attacks.

As per the analysis report, Artificial Intelligence in the Cybersecurity market is expected to hit USD 38.2 billion by 2026 from USD 8.8 billion in 2019, at the highest CAGR of 23.3%.

AI tools can result as an effective method if applied into the blend as an essential factor in the broader security strategy layout, with useful protection against cyber threats.

 

So here we discuss how Artificial Intelligence can impact cybersecurity:

 

Faster Detection

Artificial Intelligence can allow computers to detect threats and anomalies more accurately than any human is able to do and also AI helps computers to succeed at improvisation by adapting more easily than ever before.

Artificial intelligence can accelerate the identification of authentic problems, quickly cross-referencing various security measures and wellsprings. Even now, Human digital security experts will be making approaches to the needs of the episodes to be taken care of. However, it can be additionally helped by AI frameworks which consequently recommends plans for improving reactions. 

 

Network Security

Security policy development and organization network topography are two important components of network security. Unfortunately, these take a tremendous amount of time and human effort to achieve and manage. Fortunately, Artificial Intelligence can automate both of these processes in any aspect. By analyzing network traffic dynamics, AI can create and suggest policies and procedures that suit your specific situation. This can save the organization by this amount of time, amount, and energy and can not be overstated. 

 

Phishing Detection and Prevention

Phishing is the malicious method of sending fake messages. Hackers do this all the time; they claim to be from respectable organizations or associations to either expose personal information such as passwords or install malware to victims. Phishing emails are so popular that it is assumed one out of every 99 email messages is an attempted attack. 

Fortunately, AI and machine learning play an important role in mitigating phishing attacks. These technologies can recognize and monitor over 10,000 active phishing sources, in addition to being able to respond much faster than a human. They also allow fast distinguishing between fake and valid websites. As these tools are currently being used around the world, AI's phishing campaign awareness is not limited to just one geographic area.

 

Powerful password protection and Secure Authentication

One of the weakest elements of security, protection has always been passwords. In fact, they are sometimes the only link between cybercrime and our identities. Biometric authentication is seen as a possible solution for the future, but it is not the most practical method to use at this time. AI can change this.

The primary way of accomplished secure verification is physically recognizable proof, where AI uses different elements to differentiate a person from each other.  For example, a mobile phone may use specific fingerprint scanners and facial recognition to allow you to sign in. The process behind this includes the primary information system that focuses on your face and fingers to determine whether the authentication is valid.

In addition, AI may examine various components to determine whether a specific client is approved to sign in to any particular device. The software explores variables such as the way you enter keys, the speed at which you write, and your error rate while typing.

 

Behavioral Analytics 

Another significant use of AI in cybersecurity originates from its capacity to analyze behavior.

Artificial Intelligence and machine learning can also be utilized by analyzing the patterns to develop behavioral analytics. This gives them the ability to learn how you use your computer and other smart devices. Information can include but are not limited to your favorite online platforms, regular login times, as well as your texting and browsing patterns.

If an algorithm detects suspicious behavior outside of your regular patterns, it can lock out your system from the culprit of this doubtful activities. Massive shopping spreads, delivering items to addresses other than yours, a sudden increase in file uploads or downloads, and even a shift in your typing speed can all alert AI to untrustworthy behavior.

 

Preventing from Online Frauds

Companies must be given the option of identifying a digital attack in advance. This is to have the option of obstructing whatever the enemies are trying to achieve. Artificial Intelligence has proven to be extremely useful in identifying digital hazards. It depends on analyzing information and recognizing a risk before misusing helplessness within the data frameworks.

AI empowers PCs to use and adjust calculations based on the knowledge received, learning from it, and recognizing the required subsequent enhancements required. In a cybersecurity environment, this would mean that AI empowers the Computer to predict hazards and detect any anomalies with much more accuracy than any human can.

Conventional innovation is very much based on past knowledge and can not extemporize in the way AI can. Customary software can't keep track of programmers' new components and tricks the way AI does. The number of digital hazards that individuals need to handle is also a lot for people. AI manages this in the best possible way.

 

Making Vulnerability Management Easier

Every modern business relies on information technology (IT). But it can be tough to keep your IT safe. Over 2,000 unique vulnerabilities in cybersecurity have been identified this year. Managing all these things with only humans would be practically impossible.  Fortunately, AI is opening up a simplified way. AI- and machine-based learning systems can scan for potential flaws in corporate IT systems. And by incorporating recent relevant information, such as dark web forums, hacking trends, and more, these technologies make it easy to stay on top of the latest developments in this field. Through all of these insights, you’ll not only know how your vulnerable targets may be attacked, but also not when.

 

Conclusion

Artificial Intelligence helps Cybersecurity Expert in managing moves identified with cyber threat indication and avoidance. AI can recognize cybersecurity hazards and advise the Experts to take appropriate action. As for the advanced settings, AI's job is to extend various parts of data innovation, such as Artificial Intelligence in Cyber Security, Software Testing, and Data Security.

 

Also Read: Use of Artificial Intelligence in Defence

 

So here you can see how Artificial Intelligence can impact cybersecurity and prevent from cybercrime. If you want to start your career in Artificial Intelligence and want to do a course then join “Nearlearn”. Nearlearn is the Foremost Artificial Intelligence Training Institute in Bangalore and also the best Machine Learning Training Institute. They provide highly skilled trainers having 10+ years of industry experience in these filed. They provide both online training and classroom training facilities. After completion, of course, they help you to get placement in various companies and also provide internship facilities to their students. 

 

For more information contact us:

Visit: www.nearlearn.com

Use of AI Applications in Defense

 As we all know Artificial intelligence are implementing in every sector but if we talk about our National Security then Government are Implementing new technologies for our Army to protect our country. This gives to make our country more strong and better security as compared to earlier. Artificial Intelligence plays a vital role in the defense.  

Artificial Intelligence becoming a key part of modern warfare.

AI is virtually used in every military application, and increased funding from military research agencies for research and development to develop new and advanced artificial intelligence applications is projected to drive the increased adoption of AI-driven systems in the military sector. AI is capable of bringing about major changes in the way civil and military operations are carried out.

According to a Bloomberg government analysis, the Defense Department plans to allocate $4 billion for artificial intelligence and machine learning R&D activities in fiscal 2020, a substantial increase above the level of spending in fiscal 2019.

As per MarketsandMarkets reports shows that the market size of artificial intelligence in the military is expected to reach USD 18.82 billion by 2025, at a CAGR of 14.75% between 2017 and 2025. 

The Defense Research and Development Organization (DRDO) has an AI-specific laboratory known as the Artificial Intelligence and Robotics Center (CAIR). For over eight months now, CAIR has been working on a project to create a Multi-Agent Robotics Framework (MARF). MARF will provide India's armed forces with an array of robots capable of working as a team, similar to what our soldiers do. Our Indian Army has already developed Wheeled Robot like Passive Suspension, Snake Robot, Legged Robot, Wall-Climbing Robot, and Robot Sentry. CAIR has also developed Network Traffic Analysis (NETRA) that can track internet traffic.It can analyze voice traffic in real-time that passes through software with keyword attack, bomb, blast, destroy, and other words.

Here are the major military applications where AI will be proving its importance over the coming years.

Military Drones for surveillance

Military units are using drones for:

• Channel remote communication to ground troops and military bases, in both video and audio.
• Monitor enemy movement and identify unknown areas of a war zone
• Assist with post-war mitigation procedures by looking for missing or wounded soldiers and offering insights into a terrain recovery
• Assistance with peace-keeping and border monitoring operations

 

Cybersecurity

With many military sites digitized, the information stored on those web portals must be secured. AI comes to rescue by providing cybersecurity solutions as a response to attacks on data centers and government websites by malware, phishing, and brute force.

AI applications in Defense can be extended further to the designing targeted missiles, sophisticated weapons, and intensive fighter aircraft. These applications, which require thorough research, hold the potential in the near future to revolutionize the face of the defense.

 

Robot soldiers for combat

While drones help protect aerial areas, robots can be deployed to assist soldiers in ground operations on the ground. Such high functionalities, autonomous robots, built with these strategic goals, bring a cutting edge to defense technology. With advancements in machine learning and robot building, scientists have succeeded in creating humanoid bipedal robots to conduct a variety of search and rescue operations, as well as assisting soldiers in combat.

Robot fleets function like soldier units and use multiple techniques to carry out collaborative armed activities. They are self-reliant, adaptable, and have their fault-tolerant systems, all of which contribute to their ability to easily and competently make and implement decisions.

 

Threat Monitoring and Situational Awareness

Threat monitoring & situational awareness heavily depend on Intelligence, Surveillance, and Reconnaissance operations. ISR operations are used to collect and process information in order to support a variety of military activities.

While the military tactics are being continuously improved, the way information is analyzed in the bases of the army also needs to be improved. Data collected by drones and robots, while on the field of war, need to be structured and organized to make the information insightful.

Satellite imagery, terrain information, and data from multiple sensors can be used by applying deep learning, statistical analysis, and probabilistic algorithms to these data to create situational awareness.

 

Logistics and Transportation 

In military logistics and transportation AI is expected to play a critical role. An integral component of efficient military operations is the effective transport of goods, munitions, armaments, and troops. Integrating AI with military transport will reduce transportation costs and decrease human operational efforts. This also allows military fleets to spot anomalies easily and quickly predict component failures. Recently, the U.S. Army has partnered with IBM to use its Watson artificial intelligence platform to help Stryker combat vehicles pre-identify maintenance issues.

 

Warfare Platforms

Defense forces from various countries around the globe are embedding AI into weapons and other devices used on ground, maritime, airborne, and space platforms.

Using AI in these platform-based systems has allowed the development of efficient warfare systems that are less dependent on human input. This has also resulted in increased coordination and improved warfare systems efficiency, thus requiring less maintenance. Therefore, AI is expected to allow autonomous and high-speed weapons for collaborative attacks.

 

Target Recognization 

AI technologies are being developed to enhance target recognition accuracy in complex fighting environments. These techniques allow the defense forces to gain a detailed understanding of possible areas of operation by analyzing reports, records, news feeds, and other types of unstructured data. In addition, AI in target-recognition systems enhances these systems' ability to identify the position of their targets.

AI-enabled target recognition systems capabilities include probability-based enemy activity forecasts, analysis of weather and environmental factors, detection and flagging of possible supply line bottlenecks or vulnerabilities, assessments of mission approaches, and suggested mitigation strategies.

 

AI and data Information Processing

AI is especially useful for processing large quantities of data in a quick and effective manner to obtain valuable information. AI can assist in the compilation and processing of information from various databases, and in the acquisition and summation of information from different sources. This advanced analysis helps military personnel then to identify patterns and derive correlations.

 

Conclusion

It is encouraging to note that the Indian government rightly takes Artificial Intelligence very seriously and has completely recognized that AI improves military capability and also governments are providing funding to our defense sectors for developing new technologies for our military. It is not to say wrong that Artificial Intelligence plays a big role in every sector. These technologies help us in many ways and make our military more powerful and efficient. Artificial Intelligence are revolutionizing the whole sectors. With the help of AI we able to trace our enemies and able to developed new weapons and many other technologies used in military operations.

 Also Read: Use of Artificial Intelligence in Pandemic

So these are the AI Application which are using in defense. So if you want to start your career in Artificial Intelligence and wanted to develop new technologies that are helpful in our military operations and wanted to do a course then join “Nearlearn”. Nearlearn is the Foremost Artificial Intelligence training institute in Bangalore and also the best Machine Learning Training Institute. They provide highly skilled trainers having 10+ years of industry experience in these filed. They provide both online training and classroom training facilities. After completion, of course, they help you to get placement in various companies and also provide internship facilities to their students. 

 

For more information contact us:

Visit: www.nearlearn.com

Use Of Artificial Intelligence in Pandemic

Now the whole world is facing a pandemic of COVID-19 spread from Wuhan, China, and this virus are spreading day by day. Due to the COVID-19 pandemic, it is affecting the whole economy. These virus has reached virtually every corner of the world and the number of cases exceeding 20 million and the number of death more than 7 lakhs worldwide. It is a condition which are affecting all of us in many ways. 

With the lockdown imposed, border closures, movement limits, and other restrictions with this, people are facing a lot of difficulties, and it is becoming more and more critical day by day.

In response to this rising problem, many of these organizations and institutions are using new and creative ways to turn to AI and related technologies for help. Improving the infrastructure for surveillance, tracking and identification is high on the priority list.

A security company in the United States has announced that its AI-enhanced thermal cameras can detect fevers, while border officers at airports in Thailand are already piloting a biometric screening system using fever detecting devices.

Early warnings and alarms, prediction, and identification of disease outbreaks, real-time disease tracking worldwide, analysis and visualization of spreading patterns, prediction of infection rate and infection trend, quick decision-making to identify successful drugs, pathogens research and analysis, and drug discovery are the various roles played by Artificial Intelligence during pandemics. 

Here we discuss how the use of Artificial Intelligence in Pandemic:

Planning and Tracking

Canadian AI company named BlueDot, which developed an AI system that alerted the world to coronavirus on December 31, 2019, after the first case was detected in China. This program was designed to predict and locate infectious diseases and to track their spread. It works by combining AI with epidemiologist knowledge which determines how and where to look for evidence of emerging diseases. BlueDot analyzes over 100,000 reports in several languages every day, and then sends daily updates to clients in health care, government, industry, and public health. The alerts provide a brief synopsis of the outbreaks of anomalous diseases that have been identified by its AI system and the threats they can pose.

Early Detection and diagnosis of the Infection

AI can detect unusual symptoms and other 'red flags' rapidly and thus alert patients and health authorities. This helps to provide faster decision-making, which is very cost-effective. It helps by using algorithms to build a new diagnosis and management system for the 19 cases COVID. Artificial Intelligence is useful in the treatment of infected patients by Using medical imaging techniques such as computed tomography (CT ), magnetic resonance imaging scans of human body parts 

 

Monitoring the Treatment

AI can create a smart platform to automatically monitoring and forecast the spread of this virus. A neural network can also be built to remove the visual features of this disorder, and this will help to better track and manage the individuals affected. It has the potential to provide day-to-day updates of the patients and even to provide remedies for the COVID-19 pandemic to be observed.

Contact Tracking of the Individual 

AI can also determine the level of infection by this coronavirus by identifying the clusters and 'hot spots' and can successfully track the individuals' contacts and even monitor them. It can predict the future course of this disease and possibly reappearance. 

Projection of the cases and mortality 

This AI technology can monitor and forecast the existence of the virus from the data, social media, and media channels platforms, about the risks of the infection and its probable spread. This can also forecast the number of positive cases and deaths in any area.  Artificial Intelligence can help identify the most vulnerable regions, populations, and countries and take measures accordingly.

 

Development of Drugs and vaccines 

Artificial Intelligence is used for drug research by analyzing the available data on COVID-19.  This system is used to speed up drug testing in real-time, where normal testing takes a lot of time and thus helps to greatly speed up this process, which a person would not be able to do. This can help to identify useful drugs for treating patients with COVID-19. This has become an important tool for designing diagnostic tests and for improving vaccination. AI helps to produce vaccines and therapies much faster than normal and is also useful for clinical trials during vaccine development.

Reducing the workload of Healthcare workers

Due to a rapid and unprecedented rise in the number of patients during the COVID-19 pandemic, the workload of health care practitioners is exceptionally high. Here, AI is used to reduce health-care workers' workload. It helps in early diagnosis and providing early-stage treatment using digital approaches and science of decision making, provides the best training for students and doctors regarding this new disease. AI can impact future patient care and tackle more potential challenges that reduce the physicians' workload.

 

Prevention from the diseases

AI will provide updated information with the aid of real-time data analysis, which is helpful in preventing this disease. This can be used to forecast possible sites of infection during this epidemic, the proliferation of the virus, the need for beds, and healthcare professionals. AI is useful for the potential detection of viruses and illnesses, with the help of previous mentored data over data that are present at several times. This describes the features, causes, and reasons for infection spread. It would become an important tool in the future for fighting the other epidemics and pandemics. This can provide a preventive measure and able to fight many other illnesses. In the coming days, AI can play a crucial role the making healthcare more predictive and preventive.

 AI-Powered Robots

AI-powered Robot that helps in COVID-19 battle by reducing the contact between patients and healthcare workers by minimizing the risks of cross infections. For Example, using of drones and robots to distribute contactless disinfectants and spray them in public areas to minimize the risk of cross-infection. Certain robots are testing people for fever and other signs of COVID-19 and dispensing hand sanitizer foam and gel. Robots are also used to supply foods and medicines to patients disinfecting rooms so as to reduce interaction with humans.

 

Conclusion

Artificial Intelligence is an emerging and important tool for detecting early coronavirus infections and also helps in monitoring patients' conditions. AI is not only useful for the treatment of patients infected with COVID-19 but also for their proper health monitoring. It can monitor the COVID-19 crisis on numerous scales, including medical, molecular, and epidemiological applications. AI can help in the development of appropriate treatment regimens, prevention strategies, drug development, and vaccine development.

So these are the things where AI can useful in Pandemics and help in treating COVID-19.

 

Also Read: How Artificial Intelligence Changing the gaming Industry

 

Here you can see How AI is useful in every sector and if you want to boost your career in Artificial Intelligence and wanted to do a course then join “Nearlearn”. Nearlearn is the Foremost Artificial Intelligence training institute in Bangalore and also the best Machine Learning Training Institute. They provide highly skilled trainers having 10+ years of industry experience in these filed. They provide both online training and classroom training facilities. After completion, of course, they help you to get placement in various companies and also provide internship facilities to their students. 

For more information contact us:

Visit: www.nearlearn.com