Facebook
Twitter
LinkedIn
Whatsapp
What is artificial intelligence and data science engineering?
By - Kaustubh Katdare • 7 months ago • 9.1k views
Modern development in computer science engineering has led to creation of newer engineering disciplines. The recent developments in computer technology has led to creation of artificial intelligence and data science engineering.
The artificial intelligence and data science engineering is a new discipline in engineering that combines processing, analysis, visualising and prediction of data along with development of predictive models to forecast future event.
If that didn't make much sense, don't worry. Let me break it down for you.
What is data science engineering?
Data Science engineering itself is a combination of mathematics and data. It involves using math and statistics combined with software programming to make sense of the data available.
This data is often offered to the data scientists by data engineers. Data scientists will mostly be working on tools and processes through the following stages -
- Data collection or ingress: Structured and unstructured data is collected from sources.
- Data verification: Data is verified and corrected as required
- Data storage: Data is stored securely in ways that it's quickly available for processing and analysis.
- Data analysis: Data is run through tools, systems and processes and is analysed for future consumption
IBM has an excellent article on data science, do check it out.
What is artificial intelligence engineering?
Artificial Intelligence engineering is a field of research and development of machine learning algorithms like natural language processing and neural networks to predict the future.
This is very broad definition of AI engineering. It comprises of the basic principles of systems, software and computer science engineering to make computers more human like and respond to natural language commands.
Is it worth enrolling for AI and DS Engineering Course?
Yes, artificial intelligence and data science engineering requires solid knowledge of mathematics, software engineering and software development along with industry standard tools. There are several Universities that have began offering specialised training courses for students interested in this engineering domain.
Are there ample job opportunities?
Yes, there are a lot of job opportunities for AI, DS engineers. The demand is going to grow in future; as AI finds applications in most of the fields - software development, industrial manufacturing, robotics, automobile, aerospace, chemical manufacturing, transportation and several others.
Each of these industries will switch over to using AI; which means the demand for high quality data science and artificial intelligence engineers will keep growing.
If you have specific questions, ask them below. I'll be happy to answer.
Replies
Note: Only logged-in members of CrazyEngineers can add replies.
Other questions
Can an engineer become a doctor? If you got forced into studying engineering and want to go back to your first love - medicine (MBBS), what are your options? Let's discuss.
Yes, an engineer can become a doctor. But it won't be easy. Engineering degrees worldwide are mostly 4-year degree courses and medicine too requires an average of 4-5 years followed by mandatory internship. Not everyone has the patience, money and time to dedicate a decade only to learning.
If you are an engineer or engineering student who wants to...
I was recently asked if a data engineer can become a data science. How difficult is it for data engineers to switch career to data scientist and what type of training is involved. Looking for responses from data engineers and data scientists.
A data engineer can become a machine learning engineer with proper training. Keep in mind that being a data engineer is not a prerequisite for becoming a machine learning engineer.
I find this question very similar to Can data engineer become a data scientist?. Do take a look at that discussion as well.
Data engineering is an emerging field in the big-data domain and there's a growing demand for data engineers.
A typical data engineer role involves collecting data, creating data pipelines, verifying the data, correcting it and...
Can data engineer work from home? Or do they have to be physically present at the work-site to get their data engineering job done? Let me answer this commonly asked question.
A data engineer can definitely work from home. The role of data engineer does not require the engineer to be physically present on-site. Why? because 99% of the data engineering work happens in the cloud. All you'll need is a strong Internet connection and credentials to login to your cloud accounts to build data pipelines.
Can data engineers...
Almost every engineer from the Indian middle class has considered working in a bank. Why? Traditionally, for most of Indian families - a bank job is safe, secure and gives you freedom to enjoy holidays. Also - you can settle much faster in life with a bank job. So, can engineer work in bank?
An engineer can definitely work in bank. I've had several friends who got first-class degree in engineering, then opted for MBA and then chose to work for a bank.
I'm sure you'd have engineer friends who're...