Contact Us
×

Tag: AIML courses

Careers in artificial intelligence: A smashing tool of Omnichannel

Posted on by Imarticus Learning

Artificial intelligence and machine learning can be implemented in various industries, including cybersecurity, healthcare, manufacturing, finance, and marketing. This is why there is an increase in the demand for artificial intelligence and machine learning courses. If you wish to have a successful career, you can choose our AIML program. Imarticus Learning offers the best course curriculum and learning sessions to prepare you for a steady career. 

Why Choose a Career in Artificial Intelligence and Machine Learning? 

A career in AI and machine learning can be rewarding in many aspects. Such a career is an excellent choice for those with a knack for technology. Following are some reasons you should become an expert in artificial intelligence and machine learning. 

  • Scope for Career Growth

Artificial intelligence and machine learning are beginning to become essential for businesses across industries. Therefore, there is endless scope for growth. If you start a career today, you will likely find opportunities in top managerial and research positions. Suppose you have a degree in artificial intelligence and machine learning that corresponds to current industry requirements. In that case, your career will continue to improve. 

  • Opportunity to Learn

If you enjoy learning new technological skills, then this is the best career for you. Artificial intelligence and machine learning are the new domain, dominating almost every sector. Therefore, there is a lot to learn. As it evolves, you will be learning the implementation of different technological solutions to generate the best outcomes for businesses. 

  • Competitive Salary

As artificial intelligence and machine learning are still evolving, there is a rising demand for professionals with the necessary skills. The industry is yet to become mainstream but is proving itself crucial for futuristic business processes. Therefore, you can ask for competitive salary packages from your potential employers. Companies are offering lucrative packages for artificial intelligence and machine learning experts. 

  • Jobs in Various Disciplines

If you have a degree in artificial intelligence and machine learning, you can pursue jobs in different fields. Most courses that teach artificial intelligence and machine learning include specialization in various disciplines. So, you can switch your career to that of a data scientist or even a deep learning engineer. These jobs are rewarding, and there is a demand for experts in such specialized fields. 

  • Challenging Work

A career in artificial intelligence and machine learning requires focusing on real-world business challenges and overcoming them with technological solutions. Such work is ideal if you enjoy data analysis and the use of technological tools for improving productivity. Since artificial intelligence and machine learning is evolving at every step of the way, there is no scope for stagnation. You will continue to enjoy the most challenging work in the field. 

How Can a Degree From Imarticus Learning Assist in Ensuring a Rewarding Career? 

Suppose you wish to pursue a career in artificial intelligence and machine learning. In that case, you need to choose one of the best AI ML courses. At Imarticus Learning, we offer certification in Artificial Intelligence and Machine Learning. This course is in collaboration with the E&ICT Academy and IIT Guwahati. Therefore, you will get the opportunity to interact with and learn from academicians and industry professionals.

The course is for nine months and will prepare you for a career in artificial intelligence engineering, machine learning engineering, data science, as well as data analytics. We offer real-world projects that provide you with hands-on experience in the field of artificial intelligence and machine learning. At Imarticus Learning, we also organize live lectures so that you can interact with your teachers and your peers. 

The course from Imarticus Learning is the best if you are considering a career as a data scientist or a data analyst. You can also become a specialist in artificial intelligence, machine learning, and deep learning and land the best jobs in the industry. 

5 beginner friendly steps to learn neural network tutorial

Posted on by Imarticus Learning

A neural network mimics the human brain. The system architecture is made of artificial neurons and such a network can perform multiple functions in different industries. If you consider a career in the field of machine learning and neural networks, then a neural network tutorial is a must. You can start with a beginner-friendly tutorial and then move on to advanced topics of study. The AIML from Imarticus Learning is ideal for those interested in becoming specialists in the field. 

A Guide to Neural Network in 5 Steps

To understand a neural network, you need to understand the workings of such a network. If you opt for a Masters’s in artificial intelligence that includes a specialization in neural networks, it will be easier for you to grasp the concept and become an expert. 

A neural network has three distinct layers: the input layer, the hidden layer, and the output layer. Before we get into the details of the neural network tutorial, you need to understand how each of these layers functions. Now each layer is comprised of nodes and there can be more than one hidden layer.

As the name suggests, the input layer is responsible for recognizing and taking inputs, before transferring the signals to the next layer. Now, the hidden layers are where the back-end calculations occur. Once the results are obtained, the output layer transmits them. 

Now that you know the workings of each layer, it is important to take a look at how the network functions. Here are 5 steps that are involved in the working of a neural network. 

Step 1: Information Enters the Input Layer and Assignment of Weights

The data or the information is fed into the input layer. This then passes on to the hidden layer. At this interconnection, weights are assigned to every input. 

Step 2: Addition of Bias

The weights will multiply with each individual input. Once that happens, a bias is added to every input. 

Step 3: Transfer of Weighted Sum and Activation Function

The weighted sum, once obtained transfers onto the activation function. It is the activation function that decides which of the nodes can be used for the extraction of specific features. 

Step 4: Application Function

For the output layer to deliver, the deployment of an application function is necessary. It prompts the output layer to generate the output metrics. 

Step 5: Back-Propagation of Output

The weights need to be adjusted and then the output result is back-propagated. This helps to reduce errors. 

Using the above 5 steps, you can implement neural networks to approximate multiple functions accurately. To learn more about neural networks and move beyond the beginner level, you can opt for a course from Imarticus Learning. 

Learn Neural Networking from Imarticus Learning

Imarticus Learning offers certification in Artificial Intelligence and Machine Learning. We have designed this particular program with academicians and industry experts from the E&ICT Academy and IIT Guwahati. If you have a Bachelor’s or a Master’s degree in computer science, statistics, mathematics, economics or science and engineering with at least 50% in your graduation, then you are eligible for this course.

Our Artificial Intelligence and Machine Learning program include specialized topics like AI deep learning, machine learning, data science, and data analytics. Once you complete the course you will be able to seek job opportunities in all of these disciplines.

The mode of training for this course is online and we organize live lectures every week. You will spend 8 hours every week learning from the best academicians and professionals. We encourage students to interact and build networks during these sessions. At Imarticus Learning, we also provide hands-on training through 25 real-world business projects and more than 100 assignments. 

If you are interested in the current implementation of neural networks and wish to build a career in it, our certificate program is one of the best options. You can choose Imarticus Learning to gain excellent experience and engage with industry experts.

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.