Think You Can’t Master AI? Learn Artificial Intelligence from Scratch

There aren’t many fields in today’s world that are as interesting and entertaining as AI or artificial intelligence. Moreover, the segment is booming now and growing at a pace not understood before. Innovation and the introduction of new technologies are helping to fuel this fire, along with its widespread application in almost every walk of life. So, if you are wondering how to become an AI engineer, then you are at the right place; keep reading.

What is Artificial Intelligence?

Before moving on to the topic of how to become an AI engineer, it is useful to learn more about the field itself. Artificial intelligence has been built to simulate the tasks that can be associated with human intelligence. AI solves real-life problems by using both supervised and unsupervised computer programs. The AI models use large data sets to learn how humans would behave while trying to complete a particular task, and then they would spend time learning, perfecting, and doing it without any human intervention.

The field of AI includes:

• ML or machine learning
• DL or deep learning
• NLP or natural language processing,

Applications of Artificial Intelligence

Most AI applications can be bifurcated as either strong or weak.

1. Narrow or Weak AI: The automated computer systems recognise patterns in large sets of data, and then after observing and learning them, they accomplish the respective task. Examples of narrow or weak AI include recommender systems in Netflix and YouTube or any other streaming platform, smart speakers or Chess bots. This system can adapt to inputs, but they are unable to perform something that is out of its given parameters. However, they have wide usage in many microservices and several macro services.
2. Strong AI: It is also called Artificial General Intelligence, and it finds a lot of applications in the field of robotics. This AI is reserved for the longer term and is mostly in the stage of infancy. This part of AI is mostly used to create control and prediction models.

Why Learn Artificial Intelligence?

Why should you learn artificial intelligence? AI is one of the most exciting fields in the Computer Science stream. Moreover, it is also at the fore of discovering solutions to real-world problems that are making our lives hard-pressed. This system is learning and offering solutions in almost every walk of human life.

So, the demand for capable professionals is on the rise and will continue to rise in the coming days. So, being well-versed in this field will help you get employed in some of the leading organisations in the world.

What Does an AI Engineer Do?

An AI engineer does a lot of things as their responsibilities and roles vary based on the industry they are employed in. But speaking generally, AI engineers are capable of developing systems or apps which help to quicken the decision-making process and enhance it by considering all the factors and turning it into an efficient protocol-driven method.

AI engineering is, in its entirety, a complex task which can: 

• Achieve the objectives it has been assigned 
• Use logic for solving problems and performing an analysis of the probability of achieving success and incorporate that into the machine learning model
• Direct and monitor projects that are being developed by analysing systems
• Comprehension and application of best practices in data mining, processing of data recognition of speech and robotics 

How to Become an AI Engineer?

If you wish to become an AI engineer, then it would be advisable to start by developing a background in Python programming and having a strong grasp of the basics. While you are studying Python, you need to master libraries like Matplotlib, Jupyter, Pandas, Numpy, and Scikit. Make sure you have performed some neural network programming projects of your own.

At the same time, you should also strengthen your mathematical abilities, as AI and ML require mathematical aptitude as well as awareness regarding some mathematical concepts. Therefore, you should choose pre-engineering or non-medical after the 10th class.

Additionally, you need to build your skills in data structure and algorithms and relational database technologies like SQL and NoSQL. There are certain other in-depth applications as well.

After clearing 10th and 12th-grade studies, focus entirely on getting admission in a graduate program that offers Data Science, Artificial Intelligence or Machine Learning as a major. Or you could opt for it after graduation as well as take it up as a PG course. After that, you can spend time building AI and ML projects to gain practical experience in industrial-level projects.

The IIT AI ML course

Imarticus Learning has created a course exclusively for Artificial Intelligence and Machine Learning enthusiasts in partnership with E and ICT (Electronic and Information Communication Technology) Academy at IIT Guwahati. This certification course in artificial intelligence and machine learning is taught by world-class faculties of the IIT, helping you get better exposure.

To sum up, if you wish to learn artificial intelligence from scratch, it is not a challenge anymore. There are courses available online, like the one from Imarticus Learning and ample study material that will help you better understand the concepts and resolve any confusion you have. Also, with ample job opportunities, you can easily find employment to gain relevant work experience. 

From Around The Web: Learn Artificial Intelligence from These Case Studies

Programming in Artificial Intelligence (AI) is not restricted to any one method or language. A wide range of programming languages, including Python, Java, and R, are used to code AI algorithms. Usually, the Python programming language is preferred due to its easy and understandable syntax.

When you program for AI, you understand that it is slightly different from the traditional programming approach. AI mainly focuses on three skills: learning, reasoning, and self-correction.

Learning involves gathering data and creating algorithms based on the data. These algorithms then instruct the devices about the processing of a task.

The reasoning is concerned with selecting the best approach to solve a problem. It involves selecting the best algorithm that will suit the niche of the problem.

Self-correction is a design that will ensure that the selected algorithms will provide the best and most accurate results at all times.

As far as the term artificial intelligence is concerned, the most important aspect of learning AI is understanding its applications in real-world scenarios. The best way to do so will be through case studies and recognized courses. Thinking where can I learn Artificial Intelligence? Worry no more, at Imarticus Learning, we offer an Artificial Intelligence course, which also equips you with the concepts of Machine Learning. The course is taught by the leading industry experts to give you the best training and project guidance!

List of Some of the Most Interesting AI Case Studies 

Understanding AI through case studies will help you get a better grasp of its basics, while also being able to understand its business world applications. Here are some case studies that you must check out:

Vanguard Marketing

Although Vanguard is a leading investment company, its domain makes it difficult to market the products, as all the competitors use the same old traditional content and strategies to promote their products. This was when Vanguard turned to AI and started using Persado, an AI platform concerned with language queries. As soon as Vanguard turned to AI, the company saw a 15% hike in its conversion rates! You should check out this interesting case study!

Sony Neural Network Libraries

The multinational conglomerate Sony recently developed an open-source platform called Neural Network Libraries to enable programmers and data science engineers to develop deep learning programs. Neural network-based deep learning algorithms and processes have taken over technology in the past few days. There is so much improvement in the recognition domain that it has even outcasted humans in some applications. This intriguing case study will help you understand the process of deep learning in detail.

MSD’s Chatbot for Healthcare Professionals

Healthcare professionals must stay updated with emerging diseases and treatments. They might need to access content quickly, and this chatbot makes sure it is done without any hassle. Facebook has collaborated with the pharmaceutical company MSD to program this chatbot, and hence its framework resembles that of the Facebook Messenger application. It is one of the most compelling case studies. You will be able to comprehend the complexity of responsive AI and how it works.

Philips’ AI in Diagnosis

The emergence of AI in the medical field is likely to be a boon to society. Processes as simple as prescribing medicines to the complex processes of diagnosing a disease can be done through AI. Due to these advancements, detecting diseases like cancer and predicting their treatments will become an easy job. The innovation-driven health technology company Philips is working on building deep learning programs, along with PathAI, to bring about these changes in the healthcare industry.

Siemens AI for Machine Systems

Detecting discrepancies in machines through datasets and algorithms is the idea behind the automation company Siemens’ Machine System AI. They are also running a project to predict the maintenance and schedule repairs for the train systems. Controlling and monitoring the devices with AI will be critical in predicting future mishaps in the machinery and bringing about solutions for them in advance. Also, an interesting case study to look out for while studying AI.

Takeaway

Learning through application-based artificial intelligence will help you hone your skills in the field. Understanding various case studies for the same is very important and beneficial. Theoretical knowledge will only help you ace your tests, but when it comes to implementing the knowledge in real-world scenarios, you must have proper industry-relevant knowledge.

Want to understand these case studies thoroughly? Well, for that, understanding AI and its branches are vital. Wondering how that can be done? Worry not, because we are here to help you learn Artificial Intelligence with experts! Contact us through chat support or visit our nearest training centers in Delhi, Gurgaon, Thane, Pune, Mumbai, Bengaluru, or Chennai.

10+ Mind-Boggling Facts You Can Learn In Artificial Intelligence As A Fresher

With the rapid development in the technology sector, artificial intelligence has already become a part of our everyday life.  A lot of big tech companies have become involved in this development and have already created their unique assistance system. 

For example, Amazon has Alexa, Apple has Siri and Microsoft has Cortana. Although we have some ideas on what AI can do, you will also become surprised if you find out about some specific skills of AI. You can learn AI by enrolling in a machine learning and artificial intelligence course.

In this article, we will discuss the mind-boggling facts about artificial intelligence that you need to know:

Play games

Artificial intelligence can learn and play games like poker, chess, and Go (which is an amazing feat in itself). Moreover, AI can not only play these games smoothly but they can also compete with fellow human beings as well as defeat them in games.

Debate

Through the development of IBM’s Project Debater, we can see that artificial intelligence also can participate in complex debates with human beings and become successful at it. Furthermore, it can conduct research on different topics, craft counter-agreements against human opponents, and produce an engaging point of view.

Create

Different creative processes can also be mastered by artificial intelligence which includes writing poetry, taking photographs, creating visual arts, composing music, etc. The AI of Google was also able to create an AI child of its own that has surpassed its human-constructed counterparts.

Read human minds

Another mind-boggling fact about AI is that it can truly read your mind. Artificial intelligence can interpret your brain signals and then create a speech using those signals. This is a truly impressive feat of AI that can help differently-abled people. For example, this ability of AI can be life-changing for those who have a speech impairment (because of the mind-reading aspect of the skill). To capitalize on the mind-reading potential of AI, big tech giants such as Meta and Elon Musk have created projects that can harness this skill.

Understand emotion

Currently, AI tools that can read people’s emotions are being used for market research. These AI tools can track and gather data from people’s emotions. The tools use a person’s body language, voice, facial expression, etc., and evaluate it against the emotion database to find out what kind of emotion the individual is expressing. Based on their expression, AI can also find out what their action will be.

Listen and understand

Artificial intelligence can analyze and detect the sound of gunshots and warn the relevant agencies about the same. This is one of the most fascinating things AI can do, it can hear and evaluate different types of sounds. People also like the response of digital voice assistants when it comes to asking for a weather report or managing minute things. The convenience, accuracy, and efficiency provided by digital voice assistants are phenomenal.

Speak

Artificial intelligence also can speak and interact with human beings. Oftentimes, it is also helpful and fun when Google Maps or Alexa answers your queries and assists you by providing you with directions. Google Duplex uses artificial intelligence to schedule appointments and finishes every task over the phone using a conversation tone or language. It also can answer accurately to the human it is talking to.

Vision

Artificial intelligence can also see and analyze visual data using machine vision and it also can make proper decisions. There are multiple ways machine vision is being utilized today, for example, payment portals, self-driving cars, facial recognition, etc. Machine vision also helps out in the manufacturing process which is by enabling product quality control process and predictive maintenance.

Read

There is artificial intelligence that can find out the salient features from any sources and summarize them for your usage. Be it news articles, emails, legal documents, web links, books, images, audio files, etc. can be summarized with the help of artificial intelligence and the specific points can be reported back in the form of essential information. 

Currently, this particular feature of artificial intelligence is being used in slack or Facebook messenger. This particular feature of AI is dependent on machine learning, blockchain technology, and natural language processing.

Write

Nowadays professional news organizations and the journalism industry such as Reuters, Washington Post, The New York Times, etc, are utilizing artificial intelligence for writing. The creating ability of AI is being utilized to create different formulaic pieces depending on ‘who, what, when, how, and where. 

A lot of marketers are using artificial intelligence to create artistic social media posts. Not to mention, even a novel produced by artificial intelligence has been selected for an academic award.

Move

Artificial intelligence is being used in different robots and drones for autonomous movement. For example, Tokyo’s national theatre has a robot that can generate autonomous movement.

Artificial intelligence will probably surpass our abilities in a lot of different fields and if you are interested to learn AI and becoming a part of this emerging industry then you should opt for an artificial intelligence course today.

Why Learn Artificial Intelligence

Is artificial intelligence (AI) hyped or reality? Why is every tech enthusiast learning artificial intelligence? That’s because AI adoption is increasing, and the market is about to reach $190 billion by 2025. In addition, AI technology will increase global GDP by $15.7 trillion by 2030. So, AI is not hyped.

 As per a study, artificial intelligence (AI) can increase business productivity by 40 percent. That’s why almost all sectors are adapting to artificial intelligence (AI), which has increased job opportunities across the globe.

Do you also want to join the world of AI but don’t know what it is? How to start learning AI and the career opportunities in AI and machine learning? Read the blog below to know everything about artificial intelligence (AI).

 Let’s understand what is artificial intelligence.

 Artificial Intelligence (AI) is a simulation of human intelligence processes by machines. With the help of AI, machines can think, learn, and function like humans. Various elements are used for creating artificial intelligence, including machine learning, big data, neural networks, and natural language processing. The importance of artificial intelligence has become vital for the modern world due to its various applications in industries. In short, AI help in saving time doing work.

 What are the 4 types of artificial intelligence (AI)?

 Reactive machine

This type of AI does not use memory or experience for decision-making. It just follows the current scenario and acts accordingly to inform the present decision. 

 Limited memory

 It resembles the reactive machine AI, but historical data is the only add-on. Most devices that we use today are examples of limited-memory AI. This type of AI stores a large amount of data as information and uses this as a reference to make predictions.

 Theory of mind

 AI, which understands human emotions, behavior, and thoughts, is the theory of mind AI. However, machines using the theory of mind AI is a future project yet to be used till now.

 Self-aware

 Building self-aware machines that can generate representations of themselves is the final step in AI development. It’s a development and expansion of the theory of mind artificial intelligence. 

 What does an artificial intelligence professional do?

 The mission of an artificial intelligence professional is to create an intelligent algorithm capable of analysing and predicting future events. Their role is to develop machines that can reason like the human brain.

 As a result, the AI specialist is also a researcher who studies the functioning of the human brain to create computer programs with the same cognitive abilities as humans.

 Who can learn AI?

 Anyone interested in artificial intelligence, data-driven, and familiar with programming languages like R, Python, etc., can learn AI. Developers, analysts, information architects, and analytics professionals can quickly learn AI and build a successful career in the growing field of AI.

 How to learn AI?

 Individuals who want to learn artificial intelligence and pursue this as a career have too many options. AI online and offline classes are readily available. In addition, there is an option of learning AI for professionals or students who cannot attend classes on weekdays by joining the weekend batches. Learning AI includes programming languages like Python, and R. Learning deep learning and machine learning are also included in the AI curriculum. The best way is to start learning the advanced mathematics concept and then move on to the coding language. 

 Why learn AI?

Every day humans generate 2.5 quintillion bytes of data. So we do need AI-enabled machines to manage and process this massive data. Not only this, but AI-powered machines are also widely used in sectors like healthcare, farming, natural disaster, etc. Now, you can imagine the demand for AI, which creates the need for artificial intelligence professionals. 

 An Analytics India Magazine (AIM) and Imarticus Learning study show that AI/ML engineers and big data analytics jobs indicate a maximum upward swing. As per the report, the business analyst role has the most jobs in this data science and AI sector, with 38,974. 

 There are approximately 34,566 data engineer job openings, 19,457 data scientist job openings, 10,564 deep learning job openings, and 2,214 AI/ML engineer job openings.

 Skills an AI professional needs.

The artificial intelligence (AI) sector has tremendous job opportunities and requires many skills and competencies. First and foremost, the desire to know the data insights and knowledge of algorithms, advanced mathematics, and statistics is a must for any artificial intelligence or data science professional. 

 Good knowledge of programming languages like Python is also required to play with the data. In addition, industry knowledge and the latest trends in artificial intelligence and machine learning will be very advantageous. 

 Communication and presentation skills play a vital role in climbing the ladder of the artificial intelligence domain.

 The preferred qualification for artificial intelligence professional

Artificial intelligence profile hiring managers prefer postgraduate degrees in mathematics, statistics, and computer application. In addition, knowledge of programming languages like Python, R, and Scala is very important for predictive analysis. 

 The career path of artificial intelligence (AI) professional

After completing the artificial intelligence course, you can apply for the job roles below.

1. Artificial intelligence (AI) engineers: They create the artificial intelligence model and make stakeholders understand it.
2. Machine learning engineers: They design, build and manage machine learning software applications using data.
3. Big data engineers: They create systems to communicate and collect data.
4. Data scientists: They collect data, interpret it and predict information.
5. Data analytics: They analyze data, mine insights, and utilize the information for decision-making.

 So what do we know about artificial intelligence (AI)?

We have explained what is artificial intelligence. A step-by-step guide to learning artificial intelligence and who can learn artificial intelligence. The career path of artificial intelligence professionals. It will help individuals who want to learn artificial intelligence and pursue a career in the field. You can contact us if you are looking for some good courses and programs in artificial intelligence and machine learning. Imarticus Learning offers the best artificial intelligence and machine learning course, designed by E&ICT Academy, IIT Guwahati.