Want to make a career in artificial intelligence? AI Artificial Intelligence, One of the most important terms that you should know if you really want to be the part of future and competition. AI has the potential and power to increase your productivity, it can help you to create new jobs, and also it can help you to raise your living Standards. So, if you are interested in making a career in artificial intelligence as an AI engineer, then you come to the right place because, in this blog, I will discuss all the important aspects of a career in AI (artificial intelligence). So, let’s get started!!
Table of Contents
What is AI?
AI is the Abbreviation for artificial intelligence. AI is about developing smart machines that stimulate the intelligence of human beings. It learns from different experiences and adjusts according to new outputs. AI has the potential to enhance business-related tasks by simplifying them which is mostly done by humans. AI uses the method of speech recognition, business process management, and image processing. Most AI application depends on deep learning and natural language processing. These above-mentioned technologies are used to train computers for doing particular tasks and processing huge amounts of data identifying patterns.
AI improves the quality of everyday life by doing routine and even it can handle your complicated tasks better than human itself, your life can be more easy and enjoyable if you know the value of AI. Some research says that if we talk about how it can help or say change your workspace then AI programs not only facilitate better and faster decision-making process but also can give guarantee fairer decisions that promote more equality since they replace biased human decisions.
Also read: The Impact of Artificial Intelligence (AI) on the future work
Why a career in AI?
Many recent domestic and international reports state that the demand for AI and machine learning experts is increased by 75% in the last couple of years and there are further chances of growth in the Artificial intelligence field. So, it is the right time to make a career in the field of AI, where you can get a wide range of career paths of your choice.
What is an AI engineer and what do they do?
AI engineers train, develop and program complex algorithm that surrounds AI to make the algorithm work like a human brain. AI engineers must have expertise in data science, programming, software development, and data engineering. They extract data from multiple sources and develop and test machine-learning models. They build and implement AI Applications by using application program interface (API) calls or embedded code.
Job responsibilities of AI Engineer
The main job responsibility of an AI engineer is to build AI models with the help of machine learning algorithms and deep learning neutral networks for extracting business insights. Below are the following job responsibilities of an AI engineer:
- Building AI models from scratch and helping the stakeholders of the organizations that includes product managers and business users and make them understand the positive outcomes of your AI business model.
- Performing statistical analysis for interpreting the result that will help the company to make better business decisions.
- Creating and managing AI infrastructure and product development.
- Creating data ingestion infrastructure and data transformation
- Automating the infrastructure for data science team usage.
- Developing machine learning applications according to the requirement.
- Running AI and machine learning tests and experiments.
- Coordinating tasks with AI team members.
- Collaborating with robotics and electronics departments.
Skills required to become an AI engineer
The skills required to become an AI engineer are mainly divided into two categories technical skills and soft skills.
| Technical skills | Soft skills |
| Programming skills Probability, linear algebra, and statisticsBig data and spark technologiesFramework and algorithm | Communication skills Problem-solving skillsDomain expertise Teamwork Time managementBusiness intelligenceCritical thinking ability |
Educational qualification for an AI engineer
These are following qualification criteria one should have to become an AI engineer:
| School diploma | High school diploma with specialization in PCM or 12th passed with minimum marks in Physics, Chemistry, and Maths from a recognized board or institution. |
| Bachelor degree | BSc. Or B.Tech in Information technology (IT) or computer science with a specialization in data science, AI, and machine learning. |
| Master degree | Get a master’s degree in the same specialization as your bachelor’s degree. |
| Extra certification | You can also get a short-term diploma in AI and machine learning to improve your practical skills. |
| Practical experience | Gain some practical experience by developing projects, participating in hackathons, or doing some freelancing work. |
Fees for AI engineering course
These are the fee structure for AI engineering courses in India:
| Bachelor degree | 1.5 – 9.5 lakhs INR |
| Master degree | 3.0 – 6.5 lakhs INR |
| Certification Course | 30k – 1.2 lakhs INR |
Job sectors for AI engineers
These are the following jobs sectors where the demand for AI engineers is quite high:
- Financial service companies
- Healthcare organization
- B2C business
- Manufacturers and retail supply chain
- Government organization
- Education sector
Jobs after AI engineering
After completing your course in AI engineering, you can opt for various job opportunities to get the maximum earning benefits and some of the job options are listed below:
- AI architect
- AI developer
- Data scientist
- Machine learning engineer
- Business intelligence developer
- Data analyst
Salary of an AI engineer
From the stats of Glassdoor, the average annual salary of an AI engineer in India is around 7.6 lakhs INR per annum and in the USA is around $114k per annum. Your pay scale depends on your work experience and expertise and your workplace location.
Also read: 5 best AI tools for Digital Marketers
Courses for learning AI engineering
- AI graduate program by Stanford University School of Engineering
- AI for Everyone by Coursera
- Professional certificate – IBM applied by Coursera
- Introduction to Machine Learning and Deep Learning and TensorFlow for Artificial Intelligence by Coursera
- Artificial Intelligence A-Z: Learn How to Build an AI by Udemy
- AI Course: Reinforcement Learning in Python by Udemy
- Master the Fundamentals of AI and Machine Learning by LinkedIn Learning
Conclusion
In conclusion, AI has already made a significant impact in the workplace and is expected to continue doing so in the future. Its potential benefits include improving customer experience, smarter decision-making, automation, research and data analysis, solving complex problems, reducing errors, and improving business efficiency.
However, there are also potential challenges such as new hazards, addiction, and privacy and security concerns. To thrive in the future job market, it’s important to update skills and learn about AI and machine learning. Overall, AI has the potential to transform the workplace and improve our lives, but it’s important to approach it with caution and awareness. I hope this blog provides you an in-depth insight into a career in Artificial intelligence and details about how to become an AI engineer.
If you want to pursue any computer course such as a professional diploma, advanced diploma, or certificate course in computer then, you can do it from our DOTNET Institute. We provide computer courses both at online and offline mode at affordable prices. You can check it by clicking on the given link.
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FAQs
1.Is AI engineering a secure and safe career option?
Yes, AI engineering is a secure and safe career option. It is a rapidly growing and promising career field. There is a massive demand for AI engineers in various sectors such as healthcare, finance, manufacturing, and more.
2.Is AI engineering difficult to learn?
Yes, it is challenging for those individuals who are completely new to this field and have limited knowledge in the field of mathematics, programming, and computer science.
3.Can we do AI engineering without any degree?
Yes, you can become an AI engineer without any degree by doing an online certification course in AI and machine learning and joining boot camps and other training programs.
4.How much time does it take to become an AI engineer?
It takes around 6 to 12 months to become an AI engineer if you gain all the necessary skills and knowledge on time.
