Why should You Learn Artificial Intelligence?A Comprehensive Overview of AI

Introduction

Are you confused, why should you learn Artificial Intelligence or explore the best way to build your career in the most influential new-age technologies? 

There is a significant demand for AI across different industry segments. As per the Fortune Business Insights, “the AI market is expected to rise to $360 billion by 2028 at a CAGR of 33.6% during 2021-2028.” 

AI plays a significant role in different industries, hence the demand for AI skills will go high. 

Read on to find out more about the key reasons why learn artificial intelligence, the career scope in AI, and the potential opportunities.

What exactly is AI?

AI is an acronym for artificial intelligence that generally works in demonstrating some of the best behaviors associated with human intelligence including planning, learning, reasoning, manipulation of coded data, creativity, and social intelligence. 

In other words, AI is referred to as the simulation of human intelligence in machines, programmed to think like humans and follow their actions. 

Machine learning is a subset of AI that referred to the concept that computer programs can automatically learn from and adapt to new data without being assisted by humans. 

How does AI Work?

AI performs by ingesting large amounts of labeled training data, analyzing the data for patterns and correlations, and utilize these patterns to predict on future states. AI programming is mainly focused on three cognitive skills – 

Learning Processes: the first aspect is focused on acquiring data and making rules for turning the data into actionable information. These rules are referred to as algorithms that provide computing devices with step-wise instructions on how to finish a specific task. 

Reasoning Processes: Reasoning processes work on selecting the correct algorithm to accomplish the desired result. 

Self-correction Processes: The last aspect in the list, self-correction processes are designed to fine-tune the algorithms and make sure they provide the most accurate outputs.  

Hopefully, you are clear on the basics of AI – the definition of AI , and how does it work? In the next section, we will go through the significance of artificial intelligence, and why should you learn artificial intelligence? 

Check out more on AI basics at A Beginner Guide To Artificial Intelligence

Why Should You Learn Artificial Intelligence: AI Advantages

According to a study released by Gartner, there will be a huge jump in the job creation market of AI as by 2028, more than 2 million jobs will be created in this domain of IT – one of the top reasons to learn AI. 

AI is enhancing the coding and programming languages and opens new doors of opportunities while consuming less time in automation and thus far better than former manual and automation testing methods. The inclusion of artificial intelligence has eased the work of technicians and on-site executives and opened many avenues for the budding IT aspirants and also offered a chance to existing IT professionals to transform their lives. 

Below are the top reasons why should you learn artificial intelligence and how it has proven to be more helpful in terms of efficiency and accuracy –

The Skill of the Century

It is already clear that AI will soon replace a lot of jobs that humans do. In addition, it will be creating many other job opportunities in the related fields. For those looking to be in the loop, everyone should have at least some information regarding AI. 

In the near future, AI is going to revolutionize the complete face of humanity and everyone wants to be a part of this breakthrough transformation. This is the reason why AI has become the skill of the century when there is no boundary to its ever-emerging applications. 

AI is EVERYWHERE

Today, AI is not just limited to the computer and space-related industries. Today, it is playing significant roles in numerous industry segments that are directly related to our day-today-life including automobile, healthcare, and even finance and banking fields. It is applicable to every single industry and never fails to deliver amazing results. 

Big Brighter Career

With every company looking to introduce AI in their operation, studying AI opens up a world of opportunities to create cutting-edge tech solutions in diverse sectors like image recognition, computer protection, pharmacy, or face recognition. 

AI at the current stage not only assures a decent salary but also ensures you promising opportunities which will help you grow. It is a significant point, why should you learn Artificial Intelligence. 

AI is Versatile

Artificial intelligence has everything in the bag to stand out from the crowd. Generally, the mention of AI draws our minds to either computer or IT industries. But it has a major role in industries like mobile, healthcare, banking, clothing, and much more. It is not surprised why there are numerous reasons to learn AI. 

Enhance Your Employability

Boosting your technical expertise in AI, and how it applies to your business and job role, is one of the many areas of the AI segment. It not only will enhance your practical application of I but makes you an attractive candidate for developing, managing, and planning AI solutions in your role, business as well as the sector.  

Be at the Forefront of the Future

With every new tech innovation, humans are getting smarter. If you wish to stay updated on the latest industry trends, AI can help you. From machine learning to robotics, and algorithms, a comprehensive AI course covers the extensive range of AI and ML tools and techniques to apply to your operation. Understanding how AI performs, and how to implement it in your domains, is an essential step to integrating into the changing tech landscape and is one of the major reasons to learn AI.  

Network with Experts

Another reason why should you learn Artificial Intelligence, studying AI allows you to flourish your global network as you collaborate with professionals living and working worldwide. It mainly happens through seminars, group projects, discussion forums, etc.

When you get connected with people going through similar challenges across the globe, it enriches your overall work expertise and provides you with a deeper understanding of AI. 

With the above points, it is clear that AI is something we can’t avoid today and why should you learn artificial intelligence. Next, let’s check the popular AI tools that are being actively used in the industry. 

Top Artificial Intelligence Tools

Below is the list of top artificial intelligence tools from the most popular frameworks and tools that are available in the industry. You can choose from the list as per your requirements– 

Microsoft Azure: One of the best AI tools, Microsoft Azure brings cloud-based analytics designed to streamline the ML for businesses. 

Google Cloud Learning Machine: This is incredibly beneficial to data scientists, and developers to take their ML projects to the next level. This tool is designed to let you build your own machine learning application at an affordable range.

 IBM Watson: A highly regarded artificial intelligence tool designed by IBM, IBM Watson comes with a set of pre-built applications. It helps you to build, run, and manage your AI while observing and recording your data.

Cortana: Microsoft’s version of the virtual assistant, Cortana is held in high regard by developers as well as beginner users. The tool provides a multitude of functions from hands-free help to answering questions and providing reminders.

 Wipro HOLMES: The AI-enabled automation tool bridges the Foundation AI algorithm builders and Applied AI. It lets users handle various needs from building, publishing, metering, governance as well as monetization. 

Speech and language recognition are the two of its evident tools and these tools are quite evident from the Siri virtual assistant on the Apple iPhone and the voices that run in self-driven cars are the reflection of what types of products are used by the AI developers. 

So these are the reasons why learn AI, followed by some significant AI tools used in business operations. The artificial intelligence training would help you to prepare for it. Next, let’s check the roles and responsibilities of AI professionals.  

Roles & Responsibilities of Artificial Intelligence Professionals

There are some obligations and responsibilities that led AI engineers to perform. Moreover, these types of duties are given below in detail to allow one to know what types of roles are required by the data scientists while working at their jobs

. 

1. Performs Statistical Data Analysis- A data scientist’s major work includes statistical data analysis and machine learning techniques such as Bayesian, regression, classification, clustering, time series as well as deep learning AI. 
2. Collaborates with Technical Team - A data scientist’s major work includes collaboration with the entire AI imaging team and its external collaborators including in creating datasets, designing, training, analyzing as well as deploying models that are meant for executing documenting work and presenting it to numerous stakeholders.
3. Develops Machine Learning Methods- Being a data scientist, his major work includes developing new and novel machine learning methods that include supervised, self-supervised, and unsupervised learning techniques. 
4. Conduction of Deep Learning AI- He/she also conducts deep learning like Image analytics by using Tensorflow, PyTorch, Keras, Python, PostgreSQL, and much more.
5. Knows Data Science Techniques- He/she also works in NLP like the modeling of data, topic modeling, contracts, and chatbots and involves various data science techniques. 
6. Fully Understands Python- He/she also works around relational database systems such as SQL Server, and Python programming and on a lot more programming languages.
7. Succeeds Early Development Plans- A data scientist also needs to participate in major machine learning pilots because he/she needs to ensure the successful completion of IT projects. 
8. Problem Resolver- As a data scientist, he/she needs to resolve problems by using mechanistic, bottom-up thinking, and also work by using the top-down approaches.
9. Reinvents New AI methods- As a data scientist, he is also required to establish and apply new AI methods to specific problem domains that lie within functions that carry strong machine learning knowledge and hand-on experience for solving real Artificial intelligence and machine learning problems.
10. Builds Market Maximization Algorithms- He is also required to build and is considered as the main master behind the propagation of various business process simulations as well as market optimization algorithms. 
11. Implements AI tools- An AI developer’s major work also includes designing and implementing AI tools in Golang.
12. Processes Data- An AI developer knows how to access, and manipulate data of large volumes, and that too from diverse sources and also in curating datasets and in developing experimentation protocols. 
13. Execution of machine learning algorithms- An AI engineer is the one who develops and implements novel mathematical algorithmic techniques that include machine learning applications of AI projects.  
14. Apply Deep Learning Approaches- As a data scientist, he can apply machine learning and deep learning approaches to model and analyze numerous business challenges that require the application of natural language processing tools that are considered to be quite necessary for offering smart features like reading comprehension functionals.
15. Open to working in different frameworks- He/she can work around different ML frameworks like TensorFlow, Keras, Pytorch, and much more.  
16. Build Best Solutions- He/she can deliberately work in building solutions that include algorithms, optimizations, reinforcement learning, artificial neural networks, discrete event simulation, and case-based reasoning. 
17. Understands Linear Programming- He is regarded as someone who is highly experienced while working with function and path optimization and also with the set of more common algorithms which even include linear programming too.
18. Designs New Algorithms- An AI developer is also known for designing and evaluating new experiments that include the implementation of new algorithms. 
19. Highly Experienced with DL Frameworks- As an AI engineer fully understands storage system design and memory optimizations as well as the knowledge of deep learning algorithms and know many ways of experimenting with DL frameworks. 
20. Highly Proficient in C++- An AI engineer also ensures high-performance that includes computing and optimization of tools and proficiency in C++ and python.

We learned about the roles and responsibilities of AI professionals, next we will check through the required skill set and artificial intelligence training program to succeed in the field.  Read more about the Roles & Responsibilities Of An AI Engineer! 

Skills required To Become An AI developer

Why do you want to learn artificial intelligence? It may be because you are passionate about AI technology or because you are looking to make a career in it. But to become a leading professional in Artificial Intelligence, and you need requires to gain mastery in the technical as well as personality skills which are given below. 

Technical Skill

Expertise in Programming Languages like Python and R- As an AI developer he needs to carry greater expertise in the field of coding and should be thorough with the concepts of programming languages such as Python, R, and Java C++.  Programming Skills- As an IT professional, he should work in advanced programming languages such as Python and he needs to carry commendable experience in creating multiple IT projects.  Thoroughly with Data Science Concepts- He/she needs to have a clear understanding of data science fundamentals that include data analysis, data manipulation, and data mining too.  Understands Global AI Fundamentals- Apart from the rediscovered AI techniques, a data scientist is required to carry a sound knowledge of practical applications of AI happening across the world.  Database and Clustering Mechanisms- To become an AI developer, a budding IT professional is expected to carry a great experience in creating relational databases and must have worked on complicated IT projects.  Machine Learning Algorithms- An AI engineer is the one who knows how to reinvent new AI techniques because he is already thorough with the concepts of machine learning algorithms.  Big Data Analytics- An AI developer’s profession is labeled as the jack of all trades because he also works upon Big data tools like Hadoop and also coordinates with business analyst teams.  BI tools like Tableau- To master the concepts of AI, an IT professional should carry a deeper understanding of the practical usage of tools like Tableau.  Uses Statistical Tools- As an AI developer, he understands different uses of statistical models and also prefers the usage of calculus for modeling the data.

Personality Skills

Highly Critical Thinkers- AI developers are generally cast as professionals who are highly critical thinkers because they envision a large change by exuding IT-led AI projects.  Systematic and logical thinking- AI developers are capable of solving complex queries and are usually termed as logical thinkers who can systematically resolve any technical problem too.  Communication Skills- AI developers are the ones who are often classified as great communicators and are known for collaborating with different teams.  Detail Oriented- AI developers are usually classified as the people who thoroughly understand the concepts of the machine and deep learning algorithms.  Result-driven- The groups of AI professionals are very keen on arriving at specific results, in other words, they work to bring back good results.

What Are The Job Roles One Can Look Forward To In The Field Of Artificial Intelligence?

Given below are some of the fast-growing and top-notch industrial demand job roles in the field of AI that one should aim to learn through Artificial Intelligence Certification Training and within a period of 2 to 3 years he/she can turn out to be one. 

1. AI engineer-  It is an advanced level of a computer science engineer because after becoming an AI engineer the same person is expected to work on Big Data Analytics tools such as Hadoop and reinvents new machine learning tools. 
2. AI scientist-  If an IT professional wishes to dwell more on the concepts of machine learning and his curiosity level remains high in understanding the mechanisms of deep learning framework then the job of an AI researcher is aptly suited for him. 
3. Business Analyst-  An AI professional can also work as a business analyst whose major work lies in understanding and researching the vast field of sales and marketing domains that would allow them to enhance the business of an organization. 
4. Data Mining Analyst- A type of AI professional who extracts data from internal and external web servers for coding the databases as well as mining the exact information needed for running the AI programs. 
5. Business Intelligence Developer- A different type of AI professional who works in forecasting the downfall of the business by binging the best set of changes. 
6. Video Game Programmer- One of the most exciting career delights associated with this field is that it churns out the video game programmers who are experts in building coded programs. 
7. Robotics Programmer- A newly unconventional field that runs on the emphasis on machine learning is developed by the hands of AI developers. This profession can boost your career to a new scale that will remain unmatched to numerous techies in your field. 
8. Software engineer- AI developers are the masterminds behind the development of the biggest IT projects as they not only lend their efforts in structuring the architecture of software but engage heavily in core software engineering too. 
9. Machine Learning Researcher- With Oracle, Java C+ being the language of the end decades, an AI developer is the inventor of machine learning languages whose ability in fostering innovative changes comes with the blend of coding and programming skills. 

Prepare yourself for the upcoming AI interview, with these Artificial Intelligence Interview Questions. 

AI Expert Salary: Know the exact salary of AI professionals

Another reason why do you want to learn artificial intelligence – might be the salary range offered to AI professionals. 

AI Engineer- The powerhouse professional of an IT set-up withdraws a salary amounting to more than $171,715 with the top earners making more than $250,000.

AI Scientist- AI Scientists earn an average salary as high as $226,000 and as low as $28,000 

Business Analyst-A modern-day mindset capable of letting the organization penetrate the market is gifted not only with incentives but also with a whooping salary that is measured to be around $77,218 per year in the United States. 

• Data Analyst- An IT professional who analyses data frequently is rewarded with a salary of $65,319. 
• Data Scientist- Analyzing and deriving data from different sources is the task of a tech-nerd and these nerds are data scientists who earn more than $1628,000 per year. 
• Data Mining Analyst- A data mining analyst is rewarded with an annual salary of more than $128,000.
• Business Intelligence Developer- A type of professional responsible for enhancing the business in different horizons earns an annual income beyond $94,245 per year.
• Video Game Programmer- An AI developer with AI training who clinches every technique in computing and programming the video games doesn’t only earn big-time fame but is heavily rewarded with an annual salary going beyond $63403. 
• Robotics Programmer- A unique AI professional whose prospects are forecasted to be brighter than any professional takes away the deal of more than $86,291 per year at his first job only.  
• Software Engineer- A 360-degree IT professional who is the sole founding partner of any IT project’s initiation remains fixed with the company’s contract stating an annual income of more than $93,866. 
• Machine Learning Researcher- Reinventor of many new machine learning languages always remains on the hunt by top tech giants and to persuade his love for coding, a machine learning researcher withdraws more than $124,000 annually. 

That’s all on the salary offered for the professionals in artificial intelligence. Next, we will go through the process of learning AI and how to take help from the AI training courses. 

How To Learn AI?

Artificial intelligence training courses are in demand because they have transformed the lives of millions of IT professionals are and the training courses you must keep your feet on. 

Learning them is next to get a hike, yes you read it right

By getting AI certification through these courses, you will not only get a hike in your salary but you will add more value to your resume. 

Here are some of the best AI certification courses just meant for you to see them.

• Machine Learning AI Certification
• IBM AI Engineering Professional Certificate 
• Artificial Intelligence 
• Deep Learning 
• Artificial Intelligence Certification 
• Introduction to Artificial Intelligence 
• Microsoft Professional Certification in Artificial Intelligence 
• TensorFlow for Artificial Intelligence by deeplearning.ai 

More than a million students across the globe have thrived on their capabilities to succeed and rediscovered fields that measured their level of interest and later on they loved their career paths with the best artificial intelligence programs.

Check more insights on Artificial Intelligence Learning Path! 

A great understanding of AI opens up a world of opportunities to create cutting-edge technologies in diverse sectors, such as computer protection, image recognition, pharmacy, or face recognition. Along with heavy paychecks, AI would bring a lot of career satisfaction, that everyone needs.

Conclusion

A wise man once said,” There is no happiness in remaining where you are from the past ten years”, in today’s time it seemingly sounds so true and especially to you amidst a bunch of IT professionals whose career either goes up or goes downhill post-recession. 

Thus, the wisdom lies in accepting the need to re-learn and in strategizing the plan that safeguards you from the external uncontrollable forces that always hang around your neck unless and until you lose hope. 

No, wait for more days, when there is an abundance of time for you to upgrade. You are now already clear on why should you learn artificial intelligence and its significance in different career fields. 

For any query, you can post your comment below, and we will reach out to you. Or contact us right now! 

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