AI Engineers - Who Are They, What They Do, & How to Become One

Kudos to the digital age, the 21st century, where we get to experience self-driving cars, automated chatbots to answer consumer's queries, voice assistants, AI-based applications, and so on. One thing behind this advanced technology is AI skills. Therefore, AI engineers continue to be in high demand.

Currently, the artificial intelligence market stands at US$184 billion - Statista.

AI technology still has vast space to grow and evolve, which requires AI engineers to work on new algorithms, data systems and apply the same in real-life problems. Let us understand in detail who an AI Engineer is.

Who is an AI Engineer?

AI for engineering analyzes and optimizes data systems and processes with an AI and computer science background. AI engineers, thus, are innovative and logical minds who work with artificial intelligence to develop advanced AI models. Their role continues till the successful application of AI models in real-case scenarios.

AI is going to impact every product across every company - Sundar Pichai - CEO of Google.

Roles & Responsibilities of an AI Engineer

With great demand in the market comes great responsibility for performing for esteemed organizations. Let us look at the role of an AI engineer.

• Developing AI Algorithms and Strategies

With the help of AI engineering skills, professionals must design strategies that align with the company's goal and implement the same in algorithms and AI systems.

• Software Deploying

AI engineers need to design software and deploy them along with performing the supporting work like checking functionality, connecting real-time data for timely insights, etc.

• Natural Language Processing

Voice assistants like Siri and Alexa depend upon audio commands that require NLP. NLP ensures swift translation of human voice commands to machinery language, which again has to be programmed by artificial intelligence engineers.

• Overcome Challenges with AI-Based Solutions

Business organizations come across countless challenges that require data-driven solutions. These professionals are responsible for developing solutions via prompt engineering and AI skills.

Apart from this, they are also required to perform data visualization, analytics, image processing, etc. These responsibilities can be fully completed with the correct set of AI engineer skills.

Must-Have AI Engineer Skills

To enter the lucrative career of an AL/ML engineer, a specialist must have AI engineer skills. These skills can be professionally learned from artificial intelligence engineer certification courses.

1. Programming Language

The number one hard skill in AI is in-depth knowledge of various programming languages. Python, R, and Java top the list of must-have skills.

2. Data Warehousing, Processing, & Database Modeling

Having a broad skill set makes you preferable when hiring by employers. AI engineers are supposed to manage the data & also apply ML algorithms and concepts in the process. The right knowledge of SQL, NoSQL, and other database knowledge is required for this.

3. Neural Network

The neural network allows and encourages computers and machines to mimic the human brain's learning patterns. Automated machines like robots are the future of the economy. Organizations in the development of AI are focused on finding talent that consists of the skill of neural networks.

4. AI Security

Data is the key to making evolution happen in the AI world. However, the same user data is the key to performing malicious activities, leading to the loss of millions to the company. Implementing data security and ensuring the healthy use of data comes under the responsibility of AI engineers.

The list of AI engineer skills is rather very long. Most of these skills are covered under top AI Certifications, given that you select the right course to invest in.

Roadmap For Your AI Career

If we break it down, here is a simplified step to kickstart your AI/ML engineer career and explore some of the best AI ML certification courses.

1. Get a Bachelor's Degree

A bachelor's degree in any field is required to begin your AI career. However, if you are yet to apply for the same, having a bachelor's degree in relevant fields like statistics, computer science, and so on is preferred.

2. Grab a Hand on Programming Languages

Programming languages are an integral part of AI. The Internet has lots of free and reliable resources. Dig up such materials and learn about languages like R, Python, etc.

3. Learn Technical AI Concepts

Once the right foundation is built, it is time to get acquainted with technical concepts. These concepts cannot be learned with free resources but require professional training. Consider searching for enrolling for AI engineer certifications from platforms like the United States Artificial Intelligence Institute (USAII®).

With classes from global leaders, you will get to master top AI strategies and concepts. With practical experience, the platform for the artificial intelligence engineer certification course will prepare you for the real-world scenario.

Conclusion

Whether you are looking to start an AI career from zero or upskill yourself; it is critical to stay updated with trending skills in the market to remain in demand. If you are ready for this lucrative career option, why wait longer? Sign up today for artificial intelligence engineer certification and open the door to countless generous opportunities.