Importance of Artificial Intelligence Skill Development

People have been intrigued by the possibility of creating machines that mimic the human brain since at least the first century BCE. The term artificial intelligence was coined in 1955 by John McCarthy. Data science gained considerable prominence after this beginning. It gave rise to artificial intelligence, deep learning, predictive analytics, and now prescriptive analytics. It also created a new field of study, data science.

Let us take a look at what are essential Artificial Intelligence skills and why it is important in the present world.

What Is Artificial Intelligence?

AI has gained popularity over the past decade, and vendors have been scrambling to announce how their products and services use it. Often what they call AI is simply a component of it, such as machine learning. Programming languages are not synonymous with AI, but some languages, like R, Python, and Java, are very popular.

The general approach for AI systems is to collect large amounts of labeled training data, analyze the data for correlations and patterns, and use these patterns to predict future states. An image recognition tool may learn to recognize and describe objects in images by increasing its data set by reviewing millions of examples. A chatbot taught from examples of text chats can produce lifelike exchanges with people. Programming AI uses three cognitive skills: learning, reasoning, and self-correction.

In order to mimic human intelligence, artificial intelligence (AI) uses algorithms integrated into dynamic computing environments built to mimic human processes. In layman’s language, humans have been trying to program computers so that they think and act like themselves. The name, therefore, is intelligence which is derived artificially.

The Role of Artificial Intelligence in the World Now

AI has been beneficial to a variety of different industries, for things such as detecting fraudulent activity, optimizing logistics, conducting research, providing translations, composing art, and many other functions.

Artificial intelligence is a key basis for all computer learning, and the future of complex decision-making is based on artificial intelligence. With all the data generated today-both by humans and machines-humans are unable to absorb, interpret, and make complex decisions based on it. Even though there are 255,168 moves to tic-tac-toe, of which 46,080 end in a draw, few humans would be considered grand champions of checkers, with over 500 x 1018, or 500 quintillions, moves.

Artificial intelligence has benefitted almost every field. The field of medicine, for example, used AI in cancer diagnosis, stroke diagnosis, fracture diagnosis, and so on. It is widely used by enterprises for employee training as well as by educators at all levels. Additionally, AI is used by colleges and universities to enhance teaching and other academic systems. AI has already been incorporated into a lot of companies’ learning strategies.

Usually, almost all enterprise learning strategies use holistic teaching, which means that different courses are offered for different employees. However, not all employees are the same. Some may already have certain skills that can be applied to new jobs. It can also create learner profiles by combining disparate data sources, something which would take days if done manually. Machine learning and predictive analysis are among the technologies that artificial intelligence uses to analyze huge data sets.

How to Develop Artificial Intelligence Skills?

The following are the skills you need to take advantage of ML/AI’s growing potential:

  • Data Engineering: It’s a good idea to first preprocess and store raw data generated by your systems. For example, imagine there is an online shop that sells a variety of products to global customers. As a customer clicks on the description of a product or purchases it, new data is generated, and you’ll need to create Processing, Cleaning, and Storing (ETL) pipelines that can be used by other processes, such as analytics.
  • Programming Languages: For machine learning expertise, you should grow your programming language experience. Some of these languages include Python, C++, JavaScript, Java, C+, TypeScript, Shell, R.
  • Data Exploration and Analysis: An ability to perform exploratory data analysis on a dataset is especially useful since it allows you to gain insight into interesting patterns in data, identify anomalies, and test hypotheses.
  • Deploying: In order to deploy machine learning solutions on AWS, key parameters must be considered, including, availability, performance, resiliency, and fault tolerance. AWS helps you implement machine learning solutions by providing solutions and best practices. Monitoring your solutions, for example, will allow you to monitor the performance and maximize or minimize your services accordingly. AWS can even automate scaling on your behalf. For maximum availability, your solutions can be deployed across multiple availability zones.

What Can I Do With Artificial Intelligence Certifications?

It is the AI certifications that demonstrate proven skills in understanding Artificial Intelligence’s core concepts and using state-of-the-art tools in managing and delivering Artificial Intelligence initiatives aligned with industry standards. In addition to the increasing number of possible AI applications, there is also a positive career potential for those with the skills necessary to succeed in this field.

Bethany Edmunds, associate dean at Northeastern’s Khoury College of Computer Science says, “The job market is really huge in [AI], but a lot of people aren’t trained for it”. Thus, those who possess the necessary AI skills needed for work in this niche have a higher job outlook.

As of 2018, top AI researchers earn more than $1,000,000 annually, while lower-level researchers make between $300,000 and $500,000 in both salary and stock compensation. Our base-level AI researchers typically earn $92,221 annually. In addition, Software Engineers make an average salary of $110,140 per year with the potential for increases for those with AI specialties. The Bureau of Labor Statistics estimates the employment of software developers will grow by 22 percent by 2029, adding 316,000 jobs. Experts in this area are asked to apply their complex understanding of language and technology to develop systems that use machine learning algorithms to handle natural language. Since there are many applications of natural language processing, the responsibilities of specialists in this field may differ greatly. The average annual salary of those with natural language processing skills is $107,641 per year, so those with the appropriate skill sets can expect an above-average salary and job outlook for the foreseeable future.

Artificial intelligence is a booming industry with above-average job growth, but roles in this field are very niche and require advanced training and hands-on experience. Therefore, an AI certification will help you go far and beyond the level of average and grasp the best of opportunities.