How to Become an Artificial Intelligence Engineer?
Wondering how to become an AI engineer? Worry Not! The blog gives you a comprehensive guide to the profession, covering everything from skills to eligibility.
In this Career Outline
Introduction to Artificial Intelligence Engineer
"The simple truth is that companies can achieve the largest boosts in performance when humans and machines work together as allies, not adversaries, in order to take advantage of each other’s complementary strengths."
Are you passionate about math, problem-solving, and coding? Does Artificial Intelligence excite you? If so, you are in the right place. AI is the future offering high-paying and in-demand career opportunities. Engineering in AI is especially sought after, with so many companies prioritizing AI engineering graduates. If you are wondering how to become an AI engineer, we have got you covered.
Be it important steps on how to become an AI Engineer after class 12th, or responsibilities and the jobs offered by the company in the field, you will find everything here.
Steps to Become an Artificial Intelligence Engineer:
Step-1
Do a thorough research on the eligibility criteria for pursuing AI Engineering courses.
Step-2
Make sure you take the required subjects in your class 12th.
Step-3
Understand that just acquiring a degree is not enough and take a keen interest in brushing up your skills.
Step-4
Learn and practice computer languages like Java, Python & R on a daily basis.
Step-5
Deal with Data and Big Data technologies.
Step-6
Work on AI Projects like Chatbots & Computer Vision apps.
Step-7
Take part in competitions to gain more hands-on experience.
Step-8
Discover the job roles of an Artificial Intelligence engineer and look for companies where you can expect hiring.
Eligibility Criteria
| Eligibility Criteria | Description |
|---|---|
| Eligibility | Passed UG course |
| Educational Background | PCM (Physics Chemistry Maths)in Class 12 |
| Undergraduate Degree | B.Tech (Computer Science, Data Science, AI & ML). |
| Postgraduate Degree | Not mandatory however M.Tech can be an added advantage |
| Entrance Exams | JEE & GATE |
- Not all universities require you to clear entrance exams after 12th.
- Many private universities take admission on the basis of class 12th marks.
- One needs at least 60 percent or more in class 12th to get admission in AI engineering courses at private universities.
- Although degree is the primary requirement, one can also opt for certification courses to hone their skills further.
Not eligible to pursue this career?
Find out different career options based on your current academic accomplishments. Enquire with our career experts and build a roadmap to your career success!
Tasks to perform as an Artificial Intelligence Engineer:
Knowledge & Skills Required
A relevant degree alone is not enough to succeed in a job. You need to acquire knowledge & specific skill sets for every role. Hence here is a list of key knowledge areas & skills required for AI Engineering:
| Knowledge Required | |
|---|---|
| Fluency in Programming Languages like Python, Java & R | Machine Learning Models |
| Maths and Stats to understand Linear Algebra | Algorithms |
| GDPR (General Data Protection Regulation) | Use of Tools like Docker & Kubernetes |
| Skills Required | |
|---|---|
| Natural Language Processing | Analysing Digital Images & Videos |
| Problem Solving Abilities | Data Science Fluency |
| Teamwork | Adaptability |
| Pro in Predictive Analytics | Communication skills |
Understanding what are soft skills? and why is it important, as they complement technical abilities and enhance overall performance in the field of an Artificial Intelligence Engineer.
The Knowlegde and Skills don't intrigue you?
Your career may not align with your interests. Identify them and match with careers requiring those skills for faster growth and success!
Job Roles Offered for an Artificial Intelligence Engineer:
Once you qualify as an Artificial Intelligence Engineer, you have diverse career options after 12th which course is best for future:
A Big Data Engineer is someone who develops, maintains, tests, and analyzes a company’s data. These professionals are responsible for creating, structuring, assessing, and managing complex data for the company.
As the name suggests, Robotic Engineer designs, builds, and programs robots to make them work efficiently. Their work includes a mix of technical, mechanical and computer engineering skills to create machines capable of working properly.
The AI product manager works with AI engineers, business teams, data scientists, & customers to ensure AI aligns with business needs and client expectations.
Al solutions Architect designs and deploys AI solutions for an organisation. These professionals are expected to use their technical skills and profound understanding of Artificial Intelligence technologies to come out with a solution that takes care of business needs and strengthens operational efficiency.
As the name suggests, AI Research scientists conduct research on Artificial Intelligence. AI researchers develop new theories, models, and algorithms to break new ground in the field of AI.
Computer Vision Engineers make use of AI to solve problems like facial recognition, object detection, and image processing. These professionals have the ability to create technology that helps computers see and understand images and multimedia.
Developing AI models that enable computers to process, decode, and create human language is the core task of an NLP (Natural Language Processing) Engineer. Additionally, NLP Engineer collaborates with data scientists to improve data quality and develop effective feature engineering strategies.
Business Intelligence Developers also known as Business Intelligence Engineers. BI developers are responsible for building, designing, and managing BI solutions (data models, dashboards & reports).
AI ethics and policy specialists take care of ethical aspects of Artificial Intelligence. In short, these professionals focus on AI laws and ethics. The specialist is required to shape policies to guide how AI is developed and used, making sure it follows ethical standards and benefits society.
Not sure where you fit in?
With countless career options, choosing the right path can be tough. Analysis and guidance sessions help clarify what to study, pursue, and achieve.
Career Opportunities for an Artificial Intelligence Engineer:
These are some companies which hire AI Engineers on a regular basis:
| Microsoft | Amazon Web Services (AWS) | |
| Infosys | Tata Consultancy Services (TCS) | Zomato & Blinkit |
| Wipro | Bosch | SakSoft |
| Zensar Technologies |
Colleges Offering Courses in Artificial Intelligence Engineering:
If you’re aspiring to become an Artificial Intelligence Engineer, here is the list of colleges offering the best courses after 12th:
| Malaviya International Institute of Technology | Indian Institute of Information Technology (Madras) |
| Indian Institute of Information Technology (Mumbai) | (BITS Pilani) Birla Institute of Technology and Science |
| Indian Institute of Information Technology (Hyderabad) | Indian Statistical Institute (Kolkata) |
| Indian Institute of Technology (Jammu) | Indian Institute of Technology, Roorkee |
End Note
Planning and execution are two important aspects of building a career. From choosing the right subject combination in class 12th to consistently practicing coding, every step matters if you want to pursue a career in this field. This is why we recommend taking a bird’s-eye view of this blog to plan a clear career path for yourself. However, if you need further guidance, career counselling can be the best option for you.
In this Career Outline
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