Content Writer at almaBetter
The inception of Artificial Intelligence itself gained such massive traction that the invention only took days to become a revolution. Since then, AI has come a long way, from global markets to small-time business ventures. AI disrupted the business world and the traditional way it works, and the coming days only hold the best for AI engineers. Today, 91% of successful businesses invest in AI and AI engineers to leverage the best of the modern technological revolution.
Artificial Intelligence Engineering is one of the most coveted jobs on Earth. With AI spreading its wings by the day, the demand for skilled AI Engineers is now greater than ever. The ongoing surge in demand and high-paying job opportunities only attest to AI engineers being needed in the tech aisle.
In this blog, we will walk you through everything about Artificial Intelligence Engineering in the following order:
Artificial Intelligence Engineering is to machines what brains are to humans! It is an amalgamation of research and practice areas that seamlessly integrate the principles of systems engineering, machine learning, software engineering, computer science, and human-centered design to create AI systems equivalent to human-intervened outcomes. Artificial Intelligence Engineering marks its territory by providing cost-efficiency, better decisions, laudable profits, and less workload.
Artificial Intelligence Engineering aims to offer a framework and tools for the proactive design of AI systems to operate in situations with high levels of complexity, uncertainty, and dynamism. The field of Artificial Intelligence Engineering strives to prepare professionals to create systems from the enterprise to the edge, foresee demands in shifting operational settings, and guarantee that human interventions are transformed into ethical, dependable AI.
AI Engineers are equipped with robust skills to program a system or machine to think and adapt like a brain. In any given circumstance, a machine’s ability to quickly adapt and perform is derived from the acuity of an AI Engineer who pre-programs the machine for the inevitable. No matter how fictional it may sound, the ability to simulate human actions into machines will, in turn, contribute largely to sectors like finance, healthcare, education, law and order, transportation, and national security, which are the bedrock of modern civilization.
In other words, AI Engineering is a multi-purpose tool that can analyze, think, and implement like humans for the betterment of businesses. The global economic predictions of AI stand at a contribution of $16 trillion by the end of the decade, which is greater than the markets of China and India combined. This only means that more businesses seek AI to empower their markets and decisions.
Here’s a clear view of the responsibilities of an AI Engineer:
Before understanding the AI engineer roadmap, let’s have a look at the education and skills required to land on successful AI engineer jobs.
Artificial Intelligence Engineering is a distinctive skill that mostly relies on innate analytical, math, and statistics skills. Additionally, self-preparation, passion, and determination will get you to your goal. To suffice, AI Engineering degree or AI branch in engineering requirements are primitive but not customary. On the other hand, having an academic degree in the relevant field will give you an advantage in learning the subject faster. Advanced certifications in Data Science, like that offered by AlmaBetter’s Full Stack Data Science course, can help you learn basics to advanced concepts and land a high-paying job at top companies.
Programming languages: Expertise in building and implementing coding tools like Python, R, Java, and C++. For more significant career growth, familiarity and fundamental expertise in the following coding languages are necessary. Good programming skills really fill the void of AI Engineering qualifications.
Academics: Mathematics and statistics are the foundations of technology-driven tools. Additionally, knowledge of linear algebra is appreciated.
Communication Skills: AI is a knowledge-based tool that requires interventions from various experts. An AI Engineer is expected to communicate effectively with the chief departments of organizations to reap the benefits of AI integration efficiently. Understanding and reciprocating accompanying departments and communicating through common knowledge are excellent AI Engineer skills.
Finance: Understanding finance and the necessity of building a healthy, profitable return is a must-have skill for an AI Engineer. An AI engineer should understand the company’s interests and stance in order to derive the best outcomes from the technology.
Soft skills are prerequisites to any successful job. Amidst all the hustle-bustle of technical jargon and system maneuvers, it is essential to harvest soft skills to stay relevant in the current world. Here are some of the must-have soft skills for a successful career in AI Engineering:
The salary of an AI engineer in India can range from ₹8 lakhs to ₹50 lakhs annually. The exact salary will depend on factors such as experience, job role, industry, and location. Entry-level AI engineers with less than 2 years of experience can expect to earn around ₹4-8 lakhs per annum. Mid-level AI engineers with 2-5 years of experience can earn around ₹8-15 lakhs per annum. Experienced AI engineers with 5-10 years of experience can earn around ₹15-30 lakhs per annum. Senior AI engineers with 10+ years of experience can earn around ₹30 lakhs per annum or more.
The demand for AI engineers is high and is expected to continue to grow in the coming years. This is due to the increasing use of AI in a variety of industries, such as healthcare, finance, and manufacturing. As a result, AI engineers are well-positioned for a successful career with high earning potential.
Currently, AI has been deemed a rapidly growing field with tremendous career opportunities in the tech industry, with around 25% growth expected in the near future. In light of it, more tech aspirants are gaining exquisite specialization in AI to kick-start their careers. Therefore, now is probably the best time to start pursuing AI Engineering and advance your skills for successful AI engineer jobs. Here’s a step-by-step guide on how to become an AI engineer.
The first and foremost step in starting your journey as an AI engineer is to earn a graduate degree, preferably in a technical discipline. A relevant degree in the field will corroborate your interest in the subject and help you stay ahead of the curve as you pursue AI Engineering programs. A degree in Computer Science will help you ace advanced coding to build AI tools.
There are no shortcuts to understanding the vastness of Artificial Intelligence Engineering. However, having an academic background will help you comprehend the subject faster than usual. Nonetheless, learning Artificial Intelligence Engineering through online or offline programs is extremely feasible. Here’s how you can start learning AI engineering:
Having a Computer Science degree will help you skip the basics part of AI Engineering since the curriculum includes the basics of AI tools and Machine Learning.
Artificial Intelligence Engineering implies a perfect balance of theoretical and practical knowledge. Therefore, search the web or accept referrals from your peers to filter out the best institutions (offline or online) to learn the advanced implementation of AI.
Actively participate in AI bootcamps, workshops, and seminars and build a practical timetable to accommodate personal and external learning.
Develop a habit of reading and revising academic theses, research papers, and blogs on AI engineering.
While keeping your timetable intact, volunteer to participate in AI projects in our circle.
The best way to learn AI is by implementing it on a daily basis. So doing an internship at an AI startup will help you. In addition, these experiments or practical experiences will help you professionally fit an AI Engineer’s job description.
Do thorough research on the best available AI Engineering curriculum on the market. Then, cross-check them thoroughly and make sure to take the big leap of faith of joining the curriculum whenever you can.
Social media and YouTube are the best companions for learning AI engineering. Offer adequate time to learn updated news on AI using these platforms.
Suppose you join a learning community, such as AlmaBetter. In that case, you will be exposed to multiple capstone projects, one-on-one mentorship sessions, mock interviews, a knowledge-sharing community, and high-paying placement opportunities that will launch your career as an AI Engineering professional with advanced knowledge in the field.
Read our latest blog on "Artificial Intelligence Stocks in India".
Artificial Intelligence revolutionized machines with the ability to think and adapt. Today, 75% of companies are looking towards AI to amplify their business modules for better growth and reputation. AI infuses machines with a remarkable ability to outrun human expertise. However, AI Engineering bestows professionals with the ability to harness that immense power purposefully for better outcomes. This is only attainable if you have extensive knowledge and dexterity in building AI tools and strategizing. The market for AI is expected to proliferate in the coming years, and more doors will be opened globally for skilled AI engineers to lead the way.
At AlmaBetter, you can hone your inherent skills and acquire extensive knowledge in the advanced methodologies of AI-building tools through their exclusive Full Stack Data Science Program. AlmaBetter’s Data Science program offers one of the best expert-verified curricula that will cement your basics and build a protruding AI skill- set, along with a 100% placement guarantee.
What are the skills required for an AI Engineer?
Programming skills like Python, R, Java, and C++ are essential to understanding and building AI tools. Additionally, skills like critical thinking and good communication will help you make a remarkable career as an AI Engineer. Mathematics, linear algebra, and statistics also play an essential role in an AI Engineer’s life.
Which field is best in AI?
AI Engineering enables professionals to pursue their distinctive passions in fields like Machine Learning Engineering, Robotic Scientist, Data Scientist, and Research Scientist. Irrespective of the field, AI empowers engineers to create their own brands with high-paying jobs.
Is AI a good career option?
AI Engineering is one of the most prominent and coveted jobs in the world. Pursuing a career in AI is pervaded with abundant opportunities and high-income margins compared to many other tech-driven jobs. As of 2021, the global Artificial Intelligence market is valued at USD 93.5 and is projected to expand at a compound annual growth rate (CAGR) of 38.1%.
What is the scope of Artificial Intelligence?
In today’s tech-driven world, every fundamental sector, like healthcare, aviation, education, and commercials, uses Artificial Intelligence as its prime growth ladder. This dispels doubts about pursuing an AI career because it applies to a wide range of industries worldwide.
What is the future of Artificial Intelligence?
In almost every sector, artificial intelligence is optimizing humanity’s future and shaping a sustainable ecosystem. It already serves as the primary force behind developing technologies like big data, robotics, and the Internet of Things, and it will continue to do so for the foreseeable future. According to International Data Corporation (IDC) estimates, the Indian Artificial Intelligence (AI) market would increase at a compound annual growth rate of 20.2%, from USD 3.1 billion in 2020 to USD 7.8 billion in 2025.