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How do cloud, Blockchain, and IoT enable innovation within industries?

Posted on by Imarticus Learning

The future of business may be coming sooner than you think. The cloud, Blockchain, and Internet of Things (IoT) all share a common goal: to make the world more intelligent. These technologies are causing disruptions in every industry imaginable by enabling new business models that were previously unthinkable or unfeasible.

Although these technologies have similar goals, they do not necessarily work together or are mutually exclusive. This blog post will discuss how three emerging technologies–the cloud, Blockchain, and IoT–can enable innovation within industries.

What is cloud computing?

Cloud computing course enables users to access shared resources, information, and software online. It allows you to store files on a third-party server that you can access from anywhere with an appropriate internet connection.

This technology has numerous advantages over traditional business models, which include:

  • Lower costs-Cloud computing enables users to access all the software they need without purchasing each across multiple devices.
  • Better mobility and accessibility-Cloud technology ensure that workers can access applications, information, and files from anywhere through their mobile devices.
  • Data security– Backing up data in a cloud server provides more protection than storing files offline, which is a risk of being lost or stolen.
  • Flexibility and scalability-The cloud allow users to access or add more resources as they need them, which can help your business grow.

What is Blockchain?

It’s a decentralized system that records and verifies transactions or interactions between two parties. Blockchain, originally designed as the accounting backbone for Bitcoin, allows participants to keep track of digital interactions without an intermediary. It’s composed of a “chain” of verified transactions stored in “blocks.” It means that the transactions are transparent, incorruptible, and encrypted.

What are some of the benefits of Blockchain?

  • Transparency-Blockchain enables users to track each digital interaction throughout the supply chain, making it more transparent and reducing costs along the way.
  • Security-Transactions are encrypted and cannot be manipulated, which eliminates the risk of fraud or data tampering.
  • Accuracy– As the Blockchain system stores information in chronological order, it’s easy to keep track of changes with each transaction.

How IoT works, and what industries can benefit from it?

IoT stands for “Internet of Things,” It enables machines to be connected to the internet and interact with one another. These “things” could be anything from smartphones, cars, and household appliances.

IoT is currently disrupting several industries, including healthcare, manufacturing, and transportation. IoT allows users to analyze, optimize and automate processes to increase productivity without adding extra costs.

Some of the industries where IoT can have the most impact are listed below:

  • Hospitals can use IoT to monitor patients’ health 24 hours a day and ensure that they receive the best treatment in time.
  • In the manufacturing industry, IoT enables manufacturers to improve efficiency and reduce production costs.
  • The transportation and logistics industry can also take advantage of IoT as it allows drivers to optimize their time and routes.

Explore and Learn with Imarticus Learning

This Online  Software Engineering course for IOT & Cloud computing and Blockchain collaborates with E&ICT Academy, IIT Guwahati, and industry experts to give aspiring Software Engineers the most pleasing learning experience possible.

cloud, blockchain and IoT courses by E&ICT Academy, IIT GuwahatiSome course USP:

  • This cloud DevOps engineer course for students is with placement assurance aid the students to learn job-relevant skills.
  • Impress employers & showcase skills with the certification in Software Engineering endorsed by India’s most prestigious academic collaborations.
  • World-Class Academic Professors to learn from through live online sessions and discussions.

Why artificial intelligence and machine learning is the new blue print for the data science industry

Posted on by Imarticus Learning

Data science is a broad discipline concerning data systems and processes with the aim to maintain data sets and derive insights from them. On the other hand, Artificial Intelligence (AI) pertains to mathematical algorithms that can replicate human thought processes to understand complex relationships, plan for the future and make actionable decisions.

Machine Learning (ML), on the contrary, helps to implement AI by “training” computers to solve various tasks. Data science incorporates several areas of artificial intelligence and machine learning while primarily focusing on gaining insights from data.

But, how are these three fields related, and what is the impact of AI and ML in shaping the data science industry? Let’s find out.

Data Science, AI, and ML: Where Lies the Difference? 

Data science finds widespread use in several businesses to improve production processes, innovation of product design, and enable strategic planning. It involves techniques of mathematics, statistics, computer science, and even ML to extract knowledge from data and provide insights and decision paths. 

On the contrary, AI enables computers to observe their environment and make decisions based on what they observe. Some of the most widespread uses of AI include processing clinical data, creating chatbots and smart assistants, and financial planning. Add the machine learning component, and AI can enable computers to solve new problems such as classification and predictions.

The fields of data science, AI and ML overlap significantly and yet have subtle differences. In a nutshell, data science gives insights, AI produces actions, and ML facilitates predictions.

The Combined Effect of AI and ML on Data Science

Data science and data analytics have long been revolutionizing the business landscape. Companies that have mastered their use of data science and analytics aim to delve deeper into data to increase efficiency, boost their bottom lines and gain a competitive edge.

Thus, they are looking to incorporate AI and ML into their data infrastructure to achieve business goals. For instance, call centers have long been using conversation analytics software, platforms that leverage AI and ML to gain better data insights. 

Following are a few more examples to show how AI and ML combined with data science make a remarkable difference to organizations:

  • Conversational AI systems such as chatbots and smart assistants engage in highly interactive conversations with customers and users and capture actionable user insights in the process. 
  • Predictive analytics applications enable the analysis of dynamic datasets to make financial predictions, forecast business trends, customer behavior, etc. 
  • Hyper-personalization systems enable customized offerings to customers, such as product recommendations, targeted advertising, personalized medical care, and financial planning. 
  • Also, organizations can consistently respond to evolving threats, thanks to anomaly detection systems that leverage the potential of adaptive fraud detection and cybersecurity processes.

The business value of data science alone cannot be understated. However, integrating it with the tools and techniques of AI and ML has way more potential to produce actionable insights from the ever-expanding data pool. In conclusion, AI and ML have been impacting the data science industry for a long time and will continue to do so in the foreseeable future with even more ground-breaking innovations.

How to Learn AI?

Looking for an artificial intelligence course? There are several AI and ML courses available online with extensive coverage of data science, ML, NLP, deep learning, and computer vision. But before you settle on a course, ensure that the curriculum offers practical learning through real-world projects, has scope for ample industry exposure, and provides a globally recognized certification after course completion.

Are cloud, blockchain and IoT software engineering certifications worth it?

Posted on by Imarticus Learning

Today cloud computing is one of the most promising technologies that are constantly changing the whole IT industry. Even cloud services platforms such as Amazon Web Services (AWS) and Microsoft Azure cloud services are constantly developed to cover the demand from every area, including manufacturing, e-commerce, life science, etc.

As cloud computing becomes more prevalent in people’s minds and the business field, we need to prepare a cloud professional with knowledge and skills to support this infrastructure. Cloud certifications help cloud engineers/architects/administrators increase their expertise about cloud technologies and learn how to implement them in our company environment.

Nowadays, several cloud certification courses are available for individuals who would like to differentiate themselves from others by demonstrating their cloud skill set.

Interesting fact: According to Forbes, the Blockchain projects’ market is expected to grow from $242M in 2016 to $2.3B by 2021, which means the cloud computing sector will be one of the most promising areas for cloud engineers soon. In addition, cloud computing offers an excellent opportunity for IoT cloud applications because it provides real-time communication with devices and faster cloud storage hosting services.

It makes it possible for us to prototype IoT cloud applications quickly without spending too much time on server management. Cloud technologies also enable IoT cloud applications to collaborate or exchange data/messages stored into cloud servers.

  1. What benefits are cloud, blockchain, and IoT software engineering certifications for cloud engineers?

Legit cloud certification courses help cloud engineers/architects/administrators acquire the knowledge and skills to manage cloud infrastructures more effectively.

  1. How much does it cost to get these certifications?

Different institutes have different cost structures. For more information on the various credentials and the costs involved, check out Imarticus Learning.

  1. What is the best cloud certification course to take?

There are several good cloud certification courses available in Imarticus Learning like “Cloud computing.”

  1. Any suggestion about cloud engineer salary?

According to Indeed, cloud engineers/architects with extensive skills can receive more than $100,000 per year. For example, AWS certified solutions architect receives around $128,800 per year, and Microsoft certified cloud specialist earns around $97,500 annually if we check their salaries on Indeed. According to Glassdoor’s report, cloud engineers’ average salary is around $120K per year which means companies spend huge amounts.

  1. Do you need a college degree for these certifications?

Most cloud certification courses require either a bachelor’s or master’s degree in cloud computing/networking, cloud systems administration, or cloud application development. However, some cloud certifications don’t require any college degree.

  1. What is the job position of cloud engineers?

Cloud engineers play essential roles to manage cloud infrastructure and cloud software design for companies that want to use cloud technologies. Depending on company size and requirements, they can have various job titles like “cloud administrator”, “software engineer”, etc.

  1. What is the difference between certification and degrees in this field?

Certification courses build your cloud expertise, knowledge, and skills to let you start working right after certification or within a short period. On the other hand, cloud degrees provide comprehensive cloud education, including the latest cloud development tools/technologies and cloud infrastructure methodologies.

  1. What are the prerequisites for these certifications?

To enroll in cloud certification courses, candidates need basic knowledge of cloud computing principles like cloud data storage systems, virtualization technologies, etc. Cloud computing requires strong programming skills (JavaScript) and operating system administration (Windows/Linux).

Conclusion paragraph: With the rapid emergence of new technologies and software engineering certifications, it can be challenging to know which ones are worth your time.

If you’re interested in exploring these topics or want a refresher on current trends, we encourage you to explore our courses! We offer online certificate programs with personalized coaching from some of the world’s leading experts – all at your own pace and convenience. Enroll now so that you don’t miss out on this opportunity!

Why is the AI course the best machine learning and artificial intelligence course by E&ICT Academy, IIT Guwahati?

Posted on by Imarticus Learning

The most important question to any student these days would be what to study that will tremendously benefit his/her career, and where to study it from. Numerous courses are offered by several institutions, and choosing the best option for yourself in such a scenario can be very confusing. This is why we are here to shed light on possibly the most relevant course right now.

That is, of course, the artificial intelligence and machine learning course. It is one of the most versatile courses out there that lets you work in almost any field you want. That is because all the major sectors now need the help of artificial intelligence and machine learning to optimize their business and keep the customer and employee-friendly. 

artificial intelligence and machine learning coursesA lot of institutes in India provide AI ML courses. Imarticus Learning is one of the best in this field with its certificate course.

However, if we are to talk about the best institute to learn an artificial intelligence and machine learning course from, then it would undoubtedly be an IIT. Here, we are going to take a look at why an AI and ML course might be one of the most relevant courses out there that will benefit your career. And, why an AI and ML course from an IIT is the best.

Benefits of an AI and ML course

Data analytics basically uses numerous tools to extract and analyze data in a way that helps to detect patterns from past records. It also analyses where the company is now and predicts where it can go from here. All of it is done through analyzing market trends, the company’s financial condition as well as the customer’s online habits. The main benefits of this course are:

  • It is one of those jobs that is applicable in any given field, from the health sector to finance to marketing. This means that you can land your dream job from the get-go or if you feel like it, then you can even change your sector without much thought.
  • It is one of the highest-paying jobs in the country right now, which, of course, means a stable future.
  • Expert reports state that in the near future, there are going to be even more positions opening up in all corporate sectors.

Why IIT is the best choice

As we all know, IIT is an unparalleled choice when it comes to courses in any sector of business. There are a few reasons for that, such as:

  • It teaches you deep skills that are most popularly used in AI and ML.
  • The opportunity to learn from actual corporate cases, that too from the top-level industry professionals of AI and ML.
  • Overall excellent vocational training, as students experience hands-on learning with lab-based cases related to the most high-level industry problems.
  • Another thing that IITs are most known for is excellent industrial exposure.
  • The opportunity to learn AI and ML from any IIT will immediately put you leagues beyond your peers.
  • An excellent package right from the beginning in your preferred sector.

Conclusion
The opportunity to learn AI ML courses from an IIT is the best thing that can happen to your career. It is an academic investment that will be paying off throughout your life. So, prepare hard enough to give yourself that edge over others. Also, do check out Imarticus Learning’s AI and ML certificate course as we have one of the best-planned courses in this field.

Related Article:

Best Artificial Intelligence and Machine Learning courses by E&ICT Academy, IIT Guwahati

How Long-Term Modelling of Our Future Energy System Can Be Mapped With Artificial Intelligence and Machine Learning?

Posted on by Imarticus Learning

Today, technology and sustainability are the main axes of development. To secure the planet and continue the growth of industry, we are engaged in a global energy transition. Most countries have become aware that measures must be taken to address a problem that, if not curbed, will have catastrophic consequences for the environment and, of course, for human beings themselves.

ai and ml courses by E&ICT Academy, IIT GuwahatiHowever, such a transformation requires the support of technology and, because of the enormous amount of data, artificial intelligence and machine learning courses are the basis to ensure the advancement of the energy sector.

At Imarticus you can join the postgraduate program in data analytics & machine learning (AIML). 

Technology as a tool

Changing the energy paradigm of the last century will be an arduous and complicated task. That is why new technologies have a lot to say as tools to facilitate evolution. The Internet of Things, machine learning, artificial intelligence, and Big Data will be key to making the processes of change as effective as possible. Massive data analysis must become a fundamental pillar for transforming how energy is generated, transmitted, and distributed.

Artificial Intelligence allows us to handle enormous quantities and analyze them logically and reasonably. About energy, in particular, we have data on meteorology, health, or the behavior of the people involved in the system: who generates electricity, who transports and distributes it, and who consumes it. Data that, when properly analyzed, can provide a tailor-made understanding of the sector.

The development and implementation of intelligent systems must not only facilitate the massive introduction of alternative energy sources but will also have the task of achieving rationalized storage of this energy, as well as providing greater flexibility for the demand, i.e. the people who use it.

Three levels of analytics can be applied: descriptive, to know what information is available and where to apply intelligence, predictive analytics, to anticipate production or demand, and prescriptive analytics. With the data, we work on predicting production, including renewable energies and demand, with the implementation of smart meters.

In addition, technical and non-technical incidents, such as energy fraud, are detected. All of this is aimed at optimizing the energy model, with the resulting economic and environmental benefits. We will see a huge take-off in the number of professionals who will choose to pursue a machine learning career.

Tools for the consumer

In this scenario, smart meters and internet-enabled sensors will be commonplace, which will improve our energy use while at the same time making it possible to bring costs in line with what each individual actually consumes. Thus, machine learning will automate processes, while artificial intelligence will make it possible for devices to work automatically and learn from consumers’ habits. This will also be possible on a large scale, so that the operation of future solar or wind power plants, to give just two examples, will be more effective in a shorter space of time.

In this respect, we should note that although everyone is involved in the energy transition and awareness must start in every household, the technology will be geared towards people having little to do in terms of reducing consumption and costs.

Artificial intelligence-based models and predictions facilitate and will continue to be a major advantage in mapping energy systems. What is most surprising is that this is just one of the many applications of these technologies. If you want to contribute to the change, you can sign up for AI and ML courses by E&ICT Academy, IIT Guwahati.

What are the Job Roles of an AI and ML Specialist?

Posted on by Imarticus Learning

In today’s data-driven world, the highest demanding and relevant jobs have got to be that of an AI and ML specialist. Most major industries now rely heavily on artificial intelligence and machine learning to optimize their business better.

It helps them to detect the clients’ needs and cater to them accordingly. It even helps them to look after their employees’ well-being, which in turn makes them more productive and loyal to the company. This is possibly the best time to do an AI and machine learning course if you are worried about your future.

artificial intelligence and machine learning coursesThis is one job that will never go out of positions as most sectors these days need an AI and ML unit in their teams. If you are confused about which institute would be better for your career, then you do not need to look very far. Like always, Imarticus Learning has come through with one of the best AI and ML certificate courses that will immediately give you that extra edge over others.

However, the question remains about what having these jobs entails? Here, we have tried to give accurate job descriptions for artificial intelligence and machine learning specialists in detail. Please, read through it to learn more about it.

Artificial Intelligence Specialist

There are a variety of aspects to an AI specialist’s job. However, all of these meet at a certain point. That is, they develop computer software to comprehend different situations through hypotheses. They test these hypotheses by comparing them to the workings of the human mind. All of these are done through cognitive stimulation.

They also use this to enhance the opportunities and suggestions provided by and inside of a variety of different industries. This is versatile enough to be applicable in any major industry that deals with clients. The job roles of an AI specialist can be any, but not limited to, the ones following:

  • Software analyst: Using AI to debug or check the performance of software
  • Data security engineer: Safeguarding a company’s intra network and internetwork as well as data governance and data integrity
  • Research scientist: Extracting, designing, analyzing, and comprehensively preparing data using AI predictive analysis and another forecasting
  • AI developer: Develops AI systems and integrates existing software with AI systems
  • IoT engineer: Developing IoT-based devices and integrating AI software and processes in them
  • Cloud specialist: Empowering data with cloud systems

 Machine Learning Specialist

This is a profession dedicated to developing algorithms that can adapt to or learn from the available data to make helpful suggestions and predictions. Some of the job roles are:

  • Machine learning engineer: Involved in sourcing data, creating the machine learning model, and implementing it
  • Machine learning architect: Setting up, integrating, and maintaining machine learning components according to the requirement
  • Data engineer (data modeling specialist): Involved in data modeling and ensuring data can be used for machine learning
  • Machine learning developer: Involved in programming and setting up machine learning systems like forecasting and predictive modeling
  • Automation engineer: Automating processes using ML
  • Deep learning engineers: They work with complex datasets to power up neural networks using deep learning and ML
  • Artificial neural network specialist: Creating neural networks and ensuring that the system has the ability to make decisions mimicking human beings.AI and ML courses

There are many benefits to an AI and machine learning specialist’s job. The major ones being, you will never go out of a job. This is also a high-paying job, so you will never have to think about the salary input being less than your performance output. So, do check out Imarticus Learning’s AI and ML certificate course to give your career the necessary boost.

AI and ML courses

What is the best software engineering professional certification?

Posted on by Imarticus Learning

Being able to concretely display your talents and abilities as a software engineer is one of the finest methods to become a competitive applicant for top employment. Obtaining certification in software engineering-related courses demonstrates to employers that you are a well-rounded and qualified IT developer, regardless if you have a restricted portfolio or experience.

software engineering coursesObtaining a Certification in Software Engineering can help you demonstrate your talents to potential employers and set you apart from other applicants by displaying your experience. Employers can trust the quality of your work in your certification area if you obtain certification from a well-known authority.

Some firms even require specialized credentials as a prerequisite for consideration for software engineering positions. Earning a range of certifications might help you qualify for more roles or even negotiate a higher compensation based on the added value that you bring to the organization.

Here is the best software engineering certificate course you must check out!

The Certification in Software Engineering for Blockchain, and IoT Cloud program was created in collaboration with E&ICT Academy, IIT Guwahati, and industry leaders to deliver the finest learning experience for budding software engineers.

You will gain a solid understanding of technology concepts, and industry professionals will guide you through the actual application of Cloud, Blockchain, and IoT in real-world projects from a variety of industries. This rigorous 9-month curriculum will equip you for the new-age Software Engineer profession, with specialization in Cloud, Blockchain, and IoT.

Perks of taking up this course:

  1. You get to learn Software Engineering skills for Cloud, Blockchain, and IoT with the most up-to-date curriculum built by E&ICT Academy, IIT Guwahati, and industry professionals.You will be able to impress employers and raise your profile with a certification from E&ICT, IIT Guwahati, one of India’s most respected universities.
  1. Engage in six existing projects that result in a Capstone Project, and master ten various tools and technologies that will help you further your career.
  2. This program allows you to gain hands-on knowledge by working on a variety of projects inspired by prominent corporations and authentic scenarios. The GitHub project portfolio, which is included in their personalized curriculum, ensures that your CV shines out in the minds of potential companies and boosts your chances of getting the job.
  3. The curriculum has been designed in accordance with NEP 2020, allowing you to transfer program credits for a period of one year.
  4. You will be able to learn from India’s practical implementation experts through live online sessions and conversations. Academic Professors’ seminars will assist you in developing software engineering concepts.

Conclusion:

Increase your software engineering knowledge and abilities with this software engineering certificate course designed to satisfy the demands of professionals wishing to further their careers. A certificate course always comes in handy when you apply for jobs in your desired organizations.

software engineering coursesThere are many who have a degree from reputed colleges but it is equally important to have additional skills to stand out in today’s world where competition is so high. It is important that you have all the skill sets required to bag a good job in the industry and further your career according to your wishes.

This course has been accredited by the UGC and in collaboration with the E&ICT academy, Indian Institute of Technology Guwahati. If you are thinking of giving your career the right boost, go for this course!

What is the face recognition technology in AI and how is it helping secure businesses?

Posted on by Imarticus Learning

Artificial Intelligence is an ever-growing field, and it’s important to learn more about AI technologies. One of the most popular AI technologies we see today is facial recognition, also known as Face Recognition technology. In this blog post, we’ll discuss face recognition technology & how it’s helping secure businesses!

What is Face Recognition Technology?

Face recognition technology is one of the most cutting-edge AI technologies available today. It has many uses, from recognizing a person’s identity to authenticating their access to a building or room. The technology works by creating a unique template of an individual’s face after analyzing their facial features.

Face Recognition Technology in AI Benefits

There are many benefits to using Face recognition technologies, including:

– Automated Identity Verification: The ability to access secure areas is important for employees & customers. Still, it can also be time-consuming or just annoying, depending on how you do it. However, with this type of artificial intelligence software, companies can now allow faster access through automated identity verification technology! This means all someone needs to do is have their face scanned to enter freely without any problems.

– More effortless Authentication: Face recognition technology makes life easier for businesses and customers through automated authentication. All someone needs to do is access a building or room with this type of software installed to have their face scanned, allowing them free access without any problems.

– Secured Transactions:  You can also use this type of artificial intelligence software from your phone when online financial transactions. With the heightened security concerns, people are finding new ways every day to steal identities and money; these types of AI technologies help protect both businesses while allowing consumers peace of mind when conducting transactions online.

How to Face Recognition Technology is Helping Secure Businesses?

– Facial Recognition Door Access: One of the most popular types of software available today is facial recognition door access, where it’s used to identify people before allowing them into a building or room. This means faster authentication for employees, which reduces time spent outside entry points waiting in line while also providing increased security measures if someone tries to break in!

– Mobile App Authentication: Another application of artificial intelligence technologies, specifically facial recognition technologies, is through mobile apps like banking and shopping platforms. With these applications, companies use face recognition technologies to help secure transactions made on mobile devices by verifying the identity of people conducting financial transactions on their phones. This helps protect both parties while providing peace of mind when using these applications.

– Video Surveillance: Facial recognition technology with video surveillance can be used in many different ways, including identifying criminals or checking suspicious activity around your home! With this type of software installed, police forces can locate suspects much faster & arrest them quickly and prevent future crimes!

Make a Career in AIML with Imarticus Learning:

The certification in Artificial Intelligence and Machine Learning program from Imarticus Learning is designed with the E&ICT Academy, IIT Guwahati & industry leaders to provide the best learning outcome for students who wish to learn AI. This program prepares students for the Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer roles.

Artificial intelligence course goes a long way towards helping unlock lucrative career opportunities in AIML.

Course USP’s:

  • Master Machine Learning and Artificial Intelligence skills through the most relevant curriculum designed by industry experts.
  • Boost your career with this globally recognized certification.
  • Imagine how you would feel when you have the skills to analyze.
  • This gives students the chance to engage in a world-class campus education experience.
  • Learn what New Age Artificial Intelligence & Machine Learning Engineers do by solving real-time problems.

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

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.

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!