Source – https://www.analyticsinsight.net/
Analytics Insight elaborates all essential information you need to know about Artificial Intelligence Engineering
Artificial Intelligence is the hottest disruptive technology in the tech-driven market around the world in the 21st century. It is making our lives more productive and smart by integrating machine learning algorithms into different products and services. The global market size of Artificial Intelligence is expected to reach US$93.53 billion in 2021. Multiple industries have realized that the combination of AI machines and human employees can boost productivity and gain massive revenue in the competitive market. Even the governments have started allocating millions of dollars into AI research and Development while the educational institutes are offering specialized degrees in Artificial Intelligence.
The most demanding job opportunity in this vast field is Artificial Intelligence Engineer. Yes, you must have known about the five traditional engineering courses in the education sector. But Artificial Intelligence Engineering is thriving in the market among tech-savvy students. They have realized that Artificial Intelligence is the future of the world and they can pursue AI Engineering to earn lucrative salaries from eminent organizations.
What is Artificial Intelligence Engineering?
Artificial Intelligence Engineering is one of the emergent engineering disciplines solely focused on creating and developing smart tools, machines, and systems to improve the standard of living of the society. AI Engineering covers a wide array of computing power and massive datasets with the integration of machine learning algorithms. This course helps businesses in smart decision-making processes to meet the needs of customers and enhance customer engagement. An engineering background is essential to create, manage and analyze AI functionalities efficiently. Artificial Intelligence Engineering provides a comprehensive framework and tools to design machine learning algorithms in a dynamic environment across the enterprise-to-edge spectrum. There are three pillars of Artificial Intelligence Engineering— Human-centric AI, Scalable AI, and Robust AI.
What are the roles and responsibilities of AI Engineers?
AI Engineers are required for developing, programming, and training the machine learning algorithms to make Artificial Intelligence models function like human brains and bodies. They do not need to write professional code with multiple programming languages but they have to locate enormous volumes of structured and unstructured real-time data from multiple sources. AI Engineering helps to create and manage the Artificial Intelligence development process and infrastructure of smart products and services. Explanable AI makes them explain about whole functionalities of AI models to partners, teams as well as stakeholders.
There is a high demand for AI Engineers from multiple industries and organizations such as retail, manufacturing, healthcare, finance, and many more. The average salary of an AI Engineer is around US$100,000 per year depending on the company. Numerous companies are recruiting AI Engineers with lucrative salaries such as Google, NVIDIA, Wipro, Concentrix, Jio, IBM, TCS, Cognizant, and many more.
Which skills are essential for qualifications?
- Bachelor’s or Master’s degree in Computer Science, Engineering, IT, and other relevant disciplines
- Programming skills in different languages like Python, Java, C++, and R
- Sufficient knowledge of linear algebra, probability, and statistics
- Basic experience in different tools such as Apache Spark, Hadoop, MongoDB, etc.
- Deep understanding of types of neural networks with frameworks related to it like PyTorch, TensorFlow, and many more
- Excellent problem-solving and communication skills
What are the top online certified courses for AI Engineers?
- Executive PG Programme in ML and AI from Udemy in association with IIIT Bangalore
- PG Programme in AI and Machine Learning from Simplilearn in partnership with Purdue and collaboration with IBM
- IBM AI Engineering Professional Certificate from Coursera
- Master’s in Artificial Intelligence from IntelliPaat
That being said, there are multiple educational institutes and professional websites that offer comprehensive details on Artificial Intelligence. This knowledge can drive aspiring AI Engineers towards success in professional career paths. One has to keep in mind that there is a plethora of opportunities in Artificial Intelligence Engineering. One has to keep an eye on the most suitable course or job opportunities according to the understanding and preference.