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Tag: Artificial Intelligence online training

10 Essential Leadership Qualities For The Age Of Artificial Intelligence

Posted on by Imarticus Learning

Artificial intelligence (AI) is slowly being a revolution that can completely change the workforce. At the same time, it is still not able to replace human intelligence and reliability.

This is the main reason why leadership qualities are highly significant under the circumstances.
When AI is starting to show its power, it takes a highly capable leader to show the team that there is still a lot the humans can do.

In order to show them the same, a ladder needs to have certain attributes at this age of AI. These are qualities that are not taught during an Artificial intelligence course but are the ones that you need to develop yourself.
The essential leadership qualities

  1. Agility: In this fast world, a leader needs to have a quicker mind and make strategies on the go. This is one area where there are no compromises. If you have to survive in this era you have to be an agile leader.
  2. Adaptability: Sharpen adaptability skills because the requirements and circumstances could change anytime, A leader must be willing to make changes swiftly but effectively to adapt to the situations. Better the adaptability, finer would be the outcome.
  3. Accountability: Be accountable for all or any actions and decisions made as a team. Since leading from the front requires trust, this attribute helps develop confidence within the team. So be accountable and transparent.
  4. Commitment: Artificial intelligence may be able to show the way but the decision-making power is still with the humans- leaders. A leader must be committed to the decisions made and for any changes thereafter.
  5. Better communication: A leader needs better communications skills, period. Developing this attribute is more important than enrolling in any Artificial intelligence course. Look for courses that help develop this personal quality.
  6. High work ethics: Learn to value others in the team and give as much importance to every part of the work system. One who can inspire others and aspire to be a better person is better valued by the companies.
  7. Foresight: AI may be able to foresee future possible changes but it is the leader who needs to have the foresight to see and decide for the possible changes that could be down the lane. It also calls for some amount of creativity to use such changes for the betterment of the company.
  8. Flexibility with demands: When Artificial intelligence is predicting changes even a small change of course can have major impacts. A true leader must be flexible with such changes according to the demands. A leader must be able to alter his or her working style to suit the new scenario and should also be able to make it productive.
  9. Be able to influence: The flexibility in work and coming up as the winner at the end of such a trial should be enough to influence others to follow. This is one leadership quality that is highly dependent on the other attributes. One must be reliable, adaptable, and trustworthy enough to influence others. When you influence others to be positive, you are giving more value to yourself and to the company.
  10. Stay Humane: AI might be taking over too much of human efforts but the one thing that it cannot take away is the humane nature. A ladder who stays humane under all circumstances is sure to be born as a commander. This is another attribute that no Artificial intelligence course could teach you. You stay grounded even when you are flying high; it’ll make you the person that defines leadership qualities in this very age of robotics and manmade intelligence.

Also Read: 10 Interesting Facts About Artificial Intelligence

Why Are Companies Considering Candidates With An Artificial Intelligence Certification?

Posted on by Imarticus Learning

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.

How Edge IoT Solutions Can Improve Business Performance?

Posted on by Imarticus Learning

Artificial Intelligence (AI) and Internet of Things (IoT) technologies are transforming the ways of business entirely. The power of these technologies is revolutionizing the business sphere by evolving its chief resources such as software, products, applications, and overall systems.

AI and IoT are becoming widespread as businesses are looking for ways to hyper-optimize their performance by propelling the value-addition processes and generating better results from data through connected devices.

AI and IoT help companies to find patterns not easily identified by humans. It enhances operational capacity and boosts the production of products and services. By implementing AI and IoT businesses mitigate their risks and improve their efficiency.

artificial intelligence courses in IndiaThat is why companies today are investing heavily in the digitalization of their businesses.

They are employing new technologies and experts with an artificial intelligence and machine learning career to help them achieve optimal performance levels.

AI at the Edge

Artificial Intelligence at the edge is the intelligence that is influencing the retail and semi-autonomous car businesses at large. These technologies are diminishing the data communication costs and allowing instantaneous business operations which comprise decision-making, information creation, and action-taking. The real-time processing in AI at the Edge is vital for many operations in robots and semi-autonomous vehicles, etc.

A high amount of computational power is required by many Edge AI technologies. When the latency and instantaneous response process is low Edge AI becomes crucial for businesses. Through these Edge AI technologies, businesses get to mitigate their risks, detect problems, and find solutions to resolve issues.

Attaining Business Values

The AI at the Edge solutions helps businesses improve their functional capability and, hence, increase competence. These technologies break down important data streams for businesses and help them understand relevant parameters for achieving desired outcomes. The AI-based IoT solutions help businesses streamline their production-planning process by reducing the expected downtime and identifying and diminish the factors of poor performance.

IoT solutions also help in reducing maintenance visits by describing the accurate and real-time status of machine health. These technologies create large amounts of data. But storing and analyzing these data when needed is a whole different task. For this, companies need Edge AI. Edge AI helps businesses find their point of error and failure in the process.

The Edge in Edge AI technology is used relatively. It helps differentiate the local from the central. However, there is a need to differentiate various types of things that lie at the edge. Employing Edge AI technologies smartly by mapping out clear processes and action plans to achieve measurable results can help businesses deliver better outcomes.

For achieving their business values through AI at the Edge technologies, companies are looking for experts with comprehensive knowledge and skills in this domain to help them implement it in their business models. Considering the rising demands of expertise in this field, Artificial intelligence and machine learning courses are being developed for prospects looking to make a career in this field. Edge AI is entering into every industry slowly and with its enormous potential, it is likely to prove quite beneficial.

TOP 10 APPLICATIONS OF DEEP LEARNING ARTIFICIAL INTELLIGENCE IN DIVERSE INDUSTRIES

Posted on by Imarticus Learning

Artificial Intelligence is the indispensable future. It is already in power and used by diverse industries like healthcare, education, and finance.

And now, deep learning has come as an addition to the next level of technological advancement. This blog post explores ten applications of artificial intelligence across different industries.

 TOP 10 BEST APPLICATIONS OF DEEP LEARNING

Virtual Assistants

AI Deep Learning has led to virtual assistants that understand natural languages; the best examples to quote being Siri, Alexa, and Google Assistant. The technology allows them to comprehend human speech more than before, turning everyday words into actionable data.

A virtual assistant is an application that handles day-to-day tasks and answers questions using artificial intelligence, natural language processing (NLP), and machine learning algorithms. Today, there are many popular virtual assistants: Amazon’s Alexa, Apple’s Siri; Microsoft Cortana; Google Now.

Chatbots

The chatbot has rules that use natural language processing to communicate with users. Chatbots can engage in one-on-one conversations and group chats on Facebook, Slack, or Telegram platforms.

Healthcare

Deep Learning & Artificial intelligence has found their application in diagnostics and healthcare. It combines the input of a large set of variables with historical patterns from similar cases to make accurate predictions on patient outcomes. It enables doctors to provide better diagnoses and personalized treatments.

Entertainment

Creators are using it to engage their audiences and create new experiences. For example, many music companies are using it for music composition. In contrast, other multimedia giants like Disney explore storytelling possibilities such as virtual reality movies or interactive games.

News Aggregation

A news aggregator is an application that collects articles, videos, and other content from different sources to organize it into categories.

Composing Music

Computer-generated music is possible because of AI methods. Such as generative adversarial networks (GAN). Computers can create new musical compositions inspired by those composed by humans.

Image Coloring

This technology is being used for image coloring as well. It is a visualization of an uncolored photo or artwork. It helps artists and designers understand how their work will look when it gets printed on paper.

Robotic

AI/ML and Deep Learning allow robots to learn from their own experiences by performing a task. For example, they can become more efficient at drilling holes in walls. Thus they perform the same action many times across different surfaces through deep reinforcement learning.

Automobiles

Automobile companies are also exploring the benefits of applying this technology to their cars. They have begun using computer vision and image processing techniques, which allow vehicles to learn how to drive over time by detecting any obstacles on the road. This technology helps prevent accidents as well as reduces traffic congestion through self-driving cars.

E-commerce

E-commerce uses it for product recommendations and helps consumers make better buying decisions. Thus providing them with a shopping experience based on their preferences and behavior patterns.

Why Enroll In AI Progam At Imarticus Learning

artificial intelligence courses in IndiaImarticus Learning offers Artificial Intelligence and machine learning courses that improve students’ foundational abilities.

Take advantage of the Expert Mentorship programs from Imarticus Learning to learn about Artificial Intelligence and Machine Learning in a real scenario.

This program enables you to gain access to attractive professional prospects in the disciplines of Artificial Intelligence and Machine Learning. This intensive 9-month curriculum prepares students for roles like data scientist, Data Analyst, Machine Learning Engineer, and AI Engineer.

Some course USPs:

  • The course lets the students learn job-relevant skills that prepare them for an exciting Data Science career.
  • Impress employers & showcase AI skills with a certification endorsed by the most prestigious academic collaborations of India – E&ICT Academy, IIT Guwahati, and Imarticus Learning.
  • World-Class Academic Professors to learn from through live online sessions and discussions. This will help students learn the practical implementation of AI/ML & Deep Learning techniques through real-world projects.
  • Flexible Learning Journey that gives you the flexibility to transfer program credits for a period of 1 year.

For further details, contact us through the Live chat support system or schedule a visit to training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, and Gurgaon.

How Can Computer Vision Protect Millions of Homes From Intrusion?

Posted on by Imarticus Learning

Introduction

We need to embrace the concept of computer vision in homes rather than shy away from the idea of exchanging personal data to achieve new levels of protection, safety, comfort, and entertainment. Computer vision combined with NLP and ML enables computers/systems via digital images or video to understand what they see.

When systems can detect and recognize objects, according to what they are scheduled to do, they can deliver intelligent behavior. Automotive space is one area that has successfully demonstrated how computer vision can change our lives. Car systems that use computer vision can recognize the driver behind the wheel and can warn the driver when he starts to swerve out of his lane to see the surrounding area.

Many customers on their smartphones are already using computer vision and don’t even know it. To recognize facial features and position overlays (philters) in the right positions, both Snapchat and Instagram use computer vision tracking.

How does Computer Vision help us in making things secure?

Accepting computer vision into your house and connecting it to your connected devices helps your daily routine to have a new level of convenience. When you arrive and open the door for someone, the front door will be able to see or stay locked when an unknown person (face) approaches. Alarm systems are smarter, able to distinguish who are family members (including age and gender) and who are not.

If an elderly family member or visitor trips, or if a child is climbing up the stairs, on the countertop, or anywhere that puts the child in danger, indoor surveillance cameras will send a warning to your mobile, taking it a step further. Nest, Logitech, and other smart home manufacturers have either begun offering customers these smart security features as a premium subscription service or have already incorporated them into their newest devices.

Computer Vision in Intrusion Detection

Abbreviated as IDS, an Intrusion Detection system plays an important role in providing the required security assurances for all networks and information systems in the world. One of the solutions used to decrease malicious attacks is IDS. As attackers often change their attack tactics and find new methods of attack, IDS must also develop by implementing more sophisticated detection methods in response.

The enormous data growth and substantial developments in computer hardware technology have led to the existence of new studies in the field of deep learning, including intrusion detection.

To provide a high degree of security and security staff monitoring effectiveness, high-performance AI systems can make the task monitoring process automatic for high-risk sites. Also, these intrusion systems can identify objects based on size and location. However, they fail to recognize the type or form of the detected object.

Perimeter Defense (Intrusion Detection) systems with high-end artificial AI algorithms to identify a multitude of different types of objects can now discern objects of interest, thus dramatically reducing the rate of such intrusions that might indicate a false alarm. The more sophisticated systems, such as those provided at IronYun, allow its customers to design ROIs based on intrusion detected points, high-value areas, and or any other region that may be beneficial for alerts.

Similarly, the applications designed for face and license plate recognition have the ability to detect people or cars(the license plate) in addition to solutions for motion detection and use pre-designed data to identify distinct faces or plates that should be watched regularly, similar to the pre-designed lists.

Needless to say that these systems will also allow its customers to search for faces that are not provided already on the camera. For example, if a person is identified hanging outside a house many times, one can store their pictures in the designed watchlist and fix an alarm when the face is identified again around the house or in your surroundings.

The main advantage of the system is that before the troublemaker completes the act, the warnings will assist in discouraging and avoiding vandalism or robbery and inform the authorities of the scene.

Conclusion

AI-based security measures combined with computer vision, deep learning, ML, and NLP training can do all the boring work for you to help deter fraud and vandalism. They are also the most accessible security solutions available with a strong return on investment due to their low cost and outstanding reliability.

computer vision coursesStopping crime is a challenging, ongoing challenge, but enterprise vendors and law enforcement can do it more easily with the right AI apps. This is also one of the reasons why people are excited about an acceptable career in the AI sector.

Artificial Intelligence is Modernizing Restaurant Industry

Posted on by Imarticus Learning

John McCarthy coined the term ‘Artificial Intelligence’ more than 6 decades ago. We have been dreaming of a technology-enabled future for decades and it is turning into reality now. Artificial Intelligence is the programming of machines to imitate human intelligence and their actions. It helps in minimizing human efforts along with improving speed, accuracy, and effectiveness.

Today, there are huge numbers of data created in almost every sector. There is a need for Advanced Algorithms, huge data management, storage, analysis, and several other complex tasks. Artificial Intelligence and machine learning training is gaining popularity due to this increasing need for accuracy, precision, and effectiveness.

It’s interesting how Artificial Intelligence has grown over a small period in several sectors. Education, Transportation, Sports, Media, Marketing, Banking and Finance, and so on goes the list of industries that use Artificial Intelligence.

How Artificial Intelligence Helps in the Restaurant industry

Below are a few examples of the application of Artificial Intelligence in the Restaurant Industry.

Forecast Sales. People indeed make orders based on a specific climate. You would not go for a hot cup of cocoa on a hot humid day. You would go for something that is cooler. The climate makes an impact on the food and beverages sold by an eatery. AI with Machine Learning helps the restaurant to project their sales based on the orders made, current weather conditions, and past sales performance.

Scheduling Capabilities. Predictive Scheduling is fundamental these days. Staffs need to be informed in advance of their schedules, whom to be switched with, shifts, etc. Doing this manually can get quite tiresome for the manager. Artificial Intelligence provides help with this kind of function. It can perform a lot of scheduling tasks in an efficient time that would normally take up a lot of human effort and time.

Smart Virtual Assistant. Virtual Assistants and related technologies have been gradually growing over the past few years. It gathers various information related to the restaurant and presents it to the user when they search about it. Based on the information customers pick a suitable restaurant. Therefore they play a direct role in the growth and sales of the restaurant.

Robots. Is it possible? Yes, definitely. It won’t be a while before we may actually be delivered food from robots. A restaurant chain in Pasadena named Caliburger was one of the firsts to bring in a robot to their kitchen. Though it is yet to come into effect in India, it could take the restaurant sector to a whole new level of functioning.

AI-Driven Kiosks reduce waiting time and improve the eatery experience for customers. These systems act as POS systems and make the ordering process simpler for the customers.

Inventory and Purchasing. Pos systems integrated with Inventory and Purchasing can improve efficiency and helps in reducing losses. It helps to track and order based on sales, menus, and recipes. One can cross-verify between the actual food preparation and the portion of food left, thereby helping to find out sources of waste and theft in your kitchen. AI-powered restaurant management solutions ensure the right supply of materials and help to remove one more tedious work from your list.

Mapping And Management Tools. Delivery is gaining popularity these days. It is important to optimize the delivery routes for quick, efficient, and quality food delivery. Management Tools helps to keep a check on the drivers’ progress, guide on routes and on how to save miles and time, and keeping the customers in the journey throughout.

Self Serve Options powered by Artificial Intelligence could work wonders in the Restaurant Sector. Though it has not come into effect in India, self-serve kiosks could speed up the services without actually sacrificing the human touch. Customers can browse through menus, make orders, and make payments online without having to stand in long queues. This helps in improving customer satisfaction.

Artificial Intelligence is changing our lives in more ways than we know in this 21st century. So is Artificial Intelligence helping to reshape the Restaurant Industry. The AI-powered tech advancements these days are critical in boosting sales and increasing customer satisfaction to a much higher level. Since most individuals have already embraced digital technologies, it would only make it smarter and easier to inculcate Artificial Intelligence in the Restaurant Industry.

How Is Ethical AI Different From Fair AI?

Posted on by Imarticus Learning

Artificial Intelligence is turning out to be an integral part of every part of businesses and human lives at a surprisingly faster pace. As much as it is transforming lives and processing easier, it comes with its share of drawbacks.

The topic here is the ethical and fair side of AI that has already proven to be a problem even for the big giants like Amazon and Apple. So the question here is how to rectify the problem without compromising the usefulness of AI.

In order to solve the issue, it is important to understand the difference between ethical AI and fair AI. Although they are not much different from each other, knowing the thin thread that separates them is crucial.

The dilemma of ethical AI

While AI  algorithms help replace several tasks which usually the human mind accomplishes, there are several pressing issues regarding the ethical outcomes it causes. Both  AI and Machine learning requires data that is fed manually, there is still no definite criteria on what qualifies as non-biased that leads to an ethical result.

If the algorithm leads to an unwanted advantage for anyone while someone else ends up on the receiving end it is considered unethical. The problem is defining what are ethical terms and what constitutes unethical. To solve this issue, leading brands have slowed down their progress with regard to the AI development in their business end.

An ethical AI will be the one that can accomplish ethical prediction and quality outcomes without impacting humans in one way or the other.

When is it a fair AI?

When it comes to fairness in AI predictions and outcomes, it is all about perceptions. A fair decision to one might appear unfair to another. So it is not easy to judge the AI program as unfair or fair.

While there are several issues with the unfair outcome of AI programs, what it really needs is a smarter and sensible approach.

  • It needs cooperation between humans and the AI system to evaluate and judge fairness. The employees need to be more intuitive and apply more common sense to do the job well.
  • As humane as AI seems to be it needs a bit more humanity than already has. Here, it is the company’s choices and values that can be used to determine the fairness in the AI system under development or use.
  • While creating the algorithms even the smallest factor and the most unimportant aspect should also be considered to create a more effective filter. This approach prevents a wider range of unethical and unfair decisions by the AI system.

The future of ethical AI

Owing to the past mistakes in the field of AI, many of the Artificial Intelligence training courses are trying to include a moral side in their curriculum. Since most of the unfair decisions by the machine is due to the social and economical perception by the humans, it needs correction right from the root level.

difference between ethical AI and fair AIIn order to pursue an Artificial Intelligence career, one must start thinking ethically and be able to decide between what is fair and unfair for the right matters. This is where critical thinking comes in handy.

Though it is difficult to create a Fair AI, it is easier with Ethical AI as long as it does not cause a clear bias with many factors in consideration.

Conclusion

What it shows is that machines can only impersonate humans and they are yet to reach that feat emotionally and for logical thinking capability. For them to reach that point, humans must change their views, perceptions, and work ethics.

Certification in Artificial Intelligence and Machine Learning in Collaboration with E & ICT Academy, IIT Guhawati, and Imarticus Learning

Posted on by Imarticus Learning

Machine learning is powered by AI. With ML, we can power programs that are easily updated and modified to adapt to new environments and tasks- resulting in quick progress on difficult projects. ML and AI are almost synonymously used in tandem when it comes to the latest tech trends. And, AI has disrupted many industries forever – like SaaS, Manufacturing, Defense, Analytics, public sector, and so on.

If you learn machine learning through the best Machine Learning & AI course, you are likely on a fast and high-growth career trajectory.

Here is why!

#1. ML & AI Are Skills of the Future

Skills in ML can affect your long-term employment prospects because the field is projected to experience rapid growth.

With the emergence of advanced technologies like the Internet of Things (IoT), Machine Learning is experiencing a certain surge in demand and popularity.

If you learn machine learning by taking up data science certifications, there is an increase in the probability that you will have better job prospects as compared to someone without ML skills.

#2. Solve Real-World Problems

There is a lot of talk about how AI will replace jobs, but the truth is it will create new job opportunities. As an ML engineer, for instance, you get to work on projects that have a big impact in the real world and lead to business solutions that are meaningful.

#3. Versatile Growth Opportunities in the Data Sciences

Machine learning and artificial intelligence (ML &AI) skills are beneficial to a data science career. Both positions give you the opportunity to let your knowledge of both fields expand. Switching back and forth between roles can quickly enable you to become an invaluable resource in today’s rapidly changing world.

You want to have an advantage as early as possible so that you can learn about solving new and undiscovered problems. When the time comes, these skills will be in great demand and allow you to secure a career path on the rise.

What does a growth path in this domain look like?

Typically, a machine learning engineering career path begins with being a Machine Learning engineer. Machine learning engineers develop applications that automate common tasks previously done by humans and take care of the repetitive ones for humans to do efficiently without error.

When you earn a promotion as an ML engineer, you are then promoted to be an ML architect! Their responsibility is developing and designing prototypes for applications that need development.

There are a few other roles in the field which one could take on as well. These include ML data scientists, ML software engineers, senior software architects, and more.

New tech arenas keep developing into this space. So, keep your interest, skills, and industry demands aligned for the best growth!

How to make a successful career in AI & ML?

Want to learn machine learning with the best Machine Learning & AI course?

certification in Artificial Intelligence and Machine Learning

Imarticus brings to you the class-leading AI & ML certification in collaboration with E&ICT Academy of IIT-Guwahati.

Our highly-rated program has fostered hundreds of successful professionals serving the industry worldwide. Your chance to be a part of this prestigious career trek begins with us.

Enroll with Imarticus now!

What Do AI & ML Engineers Do in Real World Scenarios?

Posted on by Imarticus Learning

Worldwide industries are identifying AI/ML engineers as one of the fastest-growing job titles. Since the trend is likely to last long, this means there are millions of opportunities for the present-day freshers and those planning a career. Here is all you need to know about what AI/ML Engineers are and what they do!

What Is an Artificial Intelligence and Machine Learning Engineer?

Over the past years, the role of an ML engineer has evolved. Typically, they are computer programmers, but their focus extends beyond programming to perform specific tasks that enable machines to take actions without being specifically directed to perform those tasks.

What does a Modern-day AI/ML engineer do?

Bridging Model-Building and Production

The general purpose of an ML engineer is to act as a bridge between the statistical & model-building work of data scientists & to build production-ready & robust AI/ML systems, platforms & services. The AI/ML Engineer use their knowledge of & combine it with programming and software engineering skills to enable easier use of and access to said models and analyses.

They may translate the work of data scientists from environments such as python/R notebooks analytics applications, automating model training & evaluation processes.

Improving Systems

AI/ML engineer is responsible for developing machine learning algorithms to improve systems or processes by automating tasks that otherwise would be physically executed. The job role demands skills in programming, analysis, & an understanding of tools & techniques used to apply AI/ML to real-world tasks. With the rapid increase in the use of ML, more programmers incline Machine Learning & AI courses that educate them in relevant techniques & tools.

Artificial Intelligence and Machine Learning coursesImproving Operational Efficiency

Machine learning engineers spend their time doing several things like exploring data, organizing, cleaning, and analyzing data to find patterns & attributes to build machine learning models.

They are a part of a brainstorming team with product managers on customer needs & are expected to come up with new ideas. AI/ML Engineers monitor and fine-tuning ML models to improving team productivity.

Task-Oriented Machine Learning

A machine learning engineer monitors, optimizes, tests, trains, and deploys machine learning algorithms for specific tasks. At some places, ML engineers are expected to implement and carry on more ML-specific transformations, such as outlier detection, dimensionality reduction, feature engineering, missing value imputation, normalization, etc. Once the data is ready for the ML algorithm, the ML engineer is responsible for setting the training algorithm appropriately and executing it in a reasonable time to produce a satisfactory performance.

Grow and Learn Machine Learning with Imarticus Learning:

Explore the opportunity to learn Machine learning from the Best ML & AI Course that boosts your Data Science Career. An industry approved program designed by E&ICT Academy, IIT Guwahati, and Imarticus Learning for future Data Scientists & ML Engineers, this program builds a strong foundation of Data Science concepts, and industry experts will help you learn the practical implementation of Machine Learning, Deep Learning, and AI techniques through real-world projects from diverse industries.

This course goes a long way towards helping you unlock lucrative career opportunities in the coveted fields of Data Science and Artificial Intelligence. The 9-month extensive program will help you prepare for the Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer roles.

The objective of this state-of-the-art Artificial Intelligence and Machine Learning Certification Course is to perfectly prepare you for the AI and Machine Learning job roles you aspire for

For further details, contact us through Live Chat Support system or visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

Jobs of The Future: Artificial Intelligence and Machine Learning

Posted on by Imarticus Learning

COVID-19 has inverted the ways we lived. The jolts can be felt across workplaces, particularly where it has forced organizations to reduce activities, including leisure, restaurants, oil & gas, and airlines. Throughout COVID-19, the technology industry remains strong. The pandemic spurred technological innovation and enabled many to continue work despite lockdowns & other pandemic mitigation measures.

Benefits of AI?

  • Automation: AI gives a better understanding of machines to interpret a situation or perform necessary action. Tasks can be automated with minor human intervention through AI/ML. While automation takes place, the roles requiring human attention automatically become more productive with more time to focus on them.
  • Speed: AI is efficient in expediting much work when compared to humans. AI lets us complete tasks flexibly before deadlines. This reduces human labor & provides great speed & efficiency.
  • Accuracy: AI eliminates maximum chances of error. The machine always acts according to a fixed AI algorithm; there are fewer errors in every given scenario. In short, AI defines new limits of accuracy & precision with lesser risks.
  • Exploration: AI has helped to discover many new sites, for example, volcanic sites, ocean beds, etc. Humans being vulnerable to these sites, can’t reach and survive these scenarios. Robots are meant to go to these places and collect data.
  • Data Collection & Analysis: Data analytics is the future technology in today’s business world. Industries & businesses analyze valuable chunks of data & extract helpful information.

Applications of AI?

Artificial Intelligence and Machine Learning courses in IndiaAI is applicable in every conceivable field & recent advancements are increasing the relevance of AI in every sphere. Here are the top applications of AI:

  • Speech Recognition: AI allows us to convert spoken words into digital content. Speech recognition has various uses like voice-enabled messaging, content writing, voice-controlled remotes, & appliances. Speech recognition is also used for authorization & validation.
  • Natural Language Processing: NLP enables a machine to understand the human text. Virtual assistants like Siri, Google Assistant, Alexa, are all an example of chatbots working on the principle of NLP.
  • Stock Trading: There are AI platforms that allow automated stock trading. With the algorithms, these bots understand the fluctuations in the stock market & predict high-return stocks with more accuracy. The future scope of AI/ML in the finance sector is fuelled up due to the increasing craze for cryptocurrency.
  • Robots: Besides developing intelligent robots, AI has created robots that assist humans with routine tasks like cleaning, gardening, serving, etc.

Explore Careers in Artificial Intelligence with Imarticus Learning:

Freshers need to realize their competencies & acquire skills for AI roles with chances of upward mobility in career. The future scope of Artificial Intelligence is increasing due to new job roles & advancements in the AI sector. 42% of the IT workforce in India will require upskilling or reskilling by 2025. Imarticus Learning offers artificial intelligence and machine learning courses and machine learning certification courses to upskilling & and stay relevant.

The program builds a strong foundation of Data Science concepts. Industry experts will help you learn the practical implementation of Machine Learning, Deep Learning, and AI techniques through real-world projects from diverse industries. The 9-month extensive program will help you prepare for the Data Analyst, Data Scientist, Machine Learning Engineer, and AI Engineer roles.

This state-of-the-art Artificial Intelligence and Machine Learning Certification Course aim to let students learn machine learning & prepare for future jobs.

For further details, contact us through the Live Chat Support system or visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.