The ability of a computer program to learn and think is artificial intelligence. They acquire skills similar to human actions such as learning and problem-solving. In order to make machines think like humans, skilled professionals are in demand. IT professionals want to make their career in this growing field to grab high paying jobs and rewarding career path.

Artificial intelligence is the future. You may have used voice-powered personal assistants like Google Home and Alexa or heard about the chatbots used by banks and retailers- this is what we call AI. AI is growing and opening a way for the biggest job opportunities.

Look at the job roles that this vast technology has in store for artificial intelligence professionals!

Data Scientist:

Data Scientists are responsible for the collection of data, analyzing and interpreting it to obtain insights and coming up with innovative solutions for business concerns. Machine learning and artificial intelligence are used in data science where insights are generated through regression and predictive analysis.

Machine Learning Engineer:

Machine learning engineers possess knowledge of computer science fundamentals and programming. This includes data structure, algorithms, computability and complexity, and computer architecture. They are also skilled in probability statistics, data modeling and evaluation, software engineering and system design. They know how to work on the tools such as IntelliJ, Eclipse and more.

Research Scientist:

The research scientists are responsible for designing, undertaking and analyzing information. They are involved in deep learning, reinforcement learning, natural language processing, computer perception and more. Keep in mind that skills in parallel computing, distributed computing, algorithms and computer architecture are vital to be a research scientist.

Business Intelligence Developer:

Business intelligence developers must know how to play with data. They should be skilled enough to work with databases and different types of software. Their job involves developing and fine-tuning IT solutions. They should know everything from coding to testing to debugging to designing to implementing newly developed tools. Business intelligence developer also takes part in researching and planning solutions for existing problems within the company.

Artificial Intelligence Engineer:

AI engineers tackle design challenges. Artificial intelligence professionals know how to extract data efficiently from a variety of sources, build and test their own machine learning models, and deploy those models using either embedded code or API calls to create AI-infused applications. In order to be an AI engineer, you ought skills in full-stack application development and experience with embedding machine learning algorithms.

Besides the above mentioned roles, artificial intelligence, and machine learning also offers job roles like- Full-stack developer (handling the work of databases, servers systems engineering, and clients), Software architect (making high-level design choices and dictating technical standards), Data analyst (use data to help the company make better decisions), Data warehouse engineer (designs and develops systems for the maintenance of the business's data warehouse, ETL processes, and business intelligence), Product manager (developing products), and Front-end developer (produces HTML, CSS and JavaScript for websites and web applications).

Before you think about making a choice, consider these certifications below and choose the best one for you!

1) ARTIBA- AI Certification:

The AI certification offered by Artificial Intelligence Board of America (ARTIBA) polishes the understanding of learners by introducing them to the concepts of Machine Learning, Regression, Supervised Learning, Unsupervised Learning, Reinforced Learning, Natural Language Processing, Cognitive Computing, and Deep Learning covering each function of Artificial Intelligence. The exam is online and digitally proctored. After getting certified, you will be able to embrace, integrate and execute ideas that are in accord with the organization's growth. With the ARTIBA certification, you will be able to reflect excellence wherever you go. Gear up to get credibility!

2) Professional Certificate Program in ML and AI:

Offered by MIT Professional Education, the Professional Certificate Program in Machine Learning & Artificial Intelligence is given to the professionals who master the latest advancements and technical approaches in artificial intelligence technologies such as natural language processing, predictive analytics, deep learning, and algorithmic methods. Get a deeper understanding and hands-on experience with MIT faculty and emerge into an AI professional.

Since artificial intelligence is not a cake walk, it has increased the need for certified professionals to build a trust factor and credibility. Certifications help to differentiate you from other professionals by introducing you to up-to-date tools and technical strategies. What are you waiting for? Get ready to land your dream job role with these certifications!


Original Source

AI Engineers and Data Scientist are one of the most demanded job profiles in 2020 according to LinkedIn.

As AI being more popular the demand for AI engineers will also escalate.

Thank you for sharing these. Please I'll like to know what you think and the prospect of cybersecurity and iCloud compared to AI, ML and Data analyst?

michaellyam:
The ability of a computer program to learn and think is artificial intelligence. They acquire skills similar to human actions such as learning and problem-solving. In order to make machines think like humans, skilled professionals are in demand. IT professionals want to make their career in this growing field to grab high paying jobs and rewarding career path.

Artificial intelligence is the future. You may have used voice-powered personal assistants like Google Home and Alexa or heard about the chatbots used by banks and retailers- this is what we call AI. AI is growing and opening a way for the biggest job opportunities.

Look at the job roles that this vast technology has in store for artificial intelligence professionals!

Data Scientist:

Data Scientists are responsible for the collection of data, analyzing and interpreting it to obtain insights and coming up with innovative solutions for business concerns. Machine learning and artificial intelligence are used in data science where insights are generated through regression and predictive analysis.

Machine Learning Engineer:

Machine learning engineers possess knowledge of computer science fundamentals and programming. This includes data structure, algorithms, computability and complexity, and computer architecture. They are also skilled in probability statistics, data modeling and evaluation, software engineering and system design. They know how to work on the tools such as IntelliJ, Eclipse and more.

Research Scientist:

The research scientists are responsible for designing, undertaking and analyzing information. They are involved in deep learning, reinforcement learning, natural language processing, computer perception and more. Keep in mind that skills in parallel computing, distributed computing, algorithms and computer architecture are vital to be a research scientist.

Business Intelligence Developer:

Business intelligence developers must know how to play with data. They should be skilled enough to work with databases and different types of software. Their job involves developing and fine-tuning IT solutions. They should know everything from coding to testing to debugging to designing to implementing newly developed tools. Business intelligence developer also takes part in researching and planning solutions for existing problems within the company.

Artificial Intelligence Engineer:

AI engineers tackle design challenges. Artificial intelligence professionals know how to extract data efficiently from a variety of sources, build and test their own machine learning models, and deploy those models using either embedded code or API calls to create AI-infused applications. In order to be an AI engineer, you ought skills in full-stack application development and experience with embedding machine learning algorithms.

Besides the above mentioned roles, artificial intelligence, and machine learning also offers job roles like- Full-stack developer (handling the work of databases, servers systems engineering, and clients), Software architect (making high-level design choices and dictating technical standards), Data analyst (use data to help the company make better decisions), Data warehouse engineer (designs and develops systems for the maintenance of the business's data warehouse, ETL processes, and business intelligence), Product manager (developing products), and Front-end developer (produces HTML, CSS and JavaScript for websites and web applications).

Before you think about making a choice, consider these certifications below and choose the best one for you!

1) ARTIBA- AI Certification:

The AI certification offered by Artificial Intelligence Board of America (ARTIBA) polishes the understanding of learners by introducing them to the concepts of Machine Learning, Regression, Supervised Learning, Unsupervised Learning, Reinforced Learning, Natural Language Processing, Cognitive Computing, and Deep Learning covering each function of Artificial Intelligence. The exam is online and digitally proctored. After getting certified, you will be able to embrace, integrate and execute ideas that are in accord with the organization's growth. With the ARTIBA certification, you will be able to reflect excellence wherever you go. Gear up to get credibility!

2) Professional Certificate Program in ML and AI:

Offered by MIT Professional Education, the Professional Certificate Program in Machine Learning & Artificial Intelligence is given to the professionals who master the latest advancements and technical approaches in artificial intelligence technologies such as natural language processing, predictive analytics, deep learning, and algorithmic methods. Get a deeper understanding and hands-on experience with MIT faculty and emerge into an AI professional.

Since artificial intelligence is not a cake walk, it has increased the need for certified professionals to build a trust factor and credibility. Certifications help to differentiate you from other professionals by introducing you to up-to-date tools and technical strategies. What are you waiting for? Get ready to land your dream job role with these certifications!


Original Source

Yes according to top job portals

Jamesdaniel01:
AI Engineers and Data Scientist are one of the most demanded job profiles in 2020 according to LinkedIn.