How To Start a Career In Artificial Intelligence In 2020? A Step by Step Guide

This Content Was Updated on 9th July 2020

When we hear the word “Artificial Intelligence”, digital assistants, chatbots, robots, and self-driving cars is what strikes our mind. These are some real examples of artificial intelligence, powerful and interesting. Unlike other technologies, we will continue to see the advancements of AI and ML in 2020 and beyond.

Image Source: PwC, 22nd Annual Global CEO Survey

AI is here to create jobs and not destroy them.

AI Jobs Reality Amid COVID-19

According to Gartner, AI is heralded to create 2.3 million jobs by the end of 2020, leading a net gain of 500,000 potentially new jobs. And in the light of COVID-19 crisis, job opportunities for AI workers are bound to see a sharp rise.

  • Gartner’s report also mentions 85 percent of AI professionals believe the industry has become more diversified in recent years.

Will AI be the Next Digital Frontier?

The pandemic has destroyed millions of jobs, yet big giants are expanding the use of AI. A 2017 report by McKinsey predicted that the third of workers in the US will be replaced by automation and robots by 2030. Events like pandemic will certainly change at all timelines. But it is up to humans to decide how they wish to integrate this technology into the world.

  • According to Demandbase, 80 percent of B2B marketing executives proclaimed AI will revolutionize the marketing industry by the end of 2020.
  • IDC predicts 75 percent of commercial apps will use AI by 2021.

A career in artificial intelligence is not one size that fits all.

So, if you’re interested to start a career in artificial intelligence, here’s a guide you could follow today:

👉An artificial intelligence engineer has the following responsibilities:

  • Research appropriate machine learning algorithms.
  • Transforming data science prototypes.
  • Based on requirements the AI engineer needs to develop machine learning applications.
  • Work closely with electrical engineers and robotics team.
  • Run machine learning tests.
  • Train systems when required.
  • Selection of suitable datasets and data representation techniques.

👉A Step by Step Guide to Start a Career as an Artificial Intelligence Engineer

As a Fresher:

  • A Bachelor’s degree in the following subjects-
  • Computer Science
  • Information Technology
  • Mathematics and Statistics
  • Finance
  • Economics

A Master’s degree -

If you’re looking to get into leadership roles entailing supervision, you need to have a Master’s degree or a Ph.D.

A working professional -

For someone in the IT industry, it is important to fine-tune your technical skills. To 🔗become an AI engineer one needs to learn the latest skills and technologies. AI engineers are not just skilled professionals but have in-depth practical and theoretical knowledge. Having a practical approach towards these technologies will help you gain an edge over other competitors. Additional add-on AI certification programs will win you brownie points while seeking jobs in AI.

👉The Skills Required

A road-map towards becoming an AI engineer. AI is an emerging technology; most professionals are opting for AI certifications from some of the best online programs. Professionals looking towards a career in AI must have a closer look at the technical and business skills they need to master.

👉Technical Skills

  • Programming languages like R, Python, Java, and C++

👉Non-Technical Skills

How else can an AI engineer explain the critical events to stakeholders and individuals with no technical know-how without having the non-technical skills? To become a successful AI engineer it is also important to have knowledge in the non-technical field.

Word to the wise

We’re living in a technology-driven era with more professionals looking to upgrade themselves for the new-age tech jobs. You can find many online programs and online training institutes providing AI certification, AI engineer certification and machine learning certification, etc.

📫 My other Stories on AI:

  1. Learn AI to Give Your Career an Overhaul
  2. Artificial Intelligence: Adopt It, Before It Eliminates You
  3. AI Talent Pool in 2019: Past, Present & Future
  4. The 5 Most In-Demand IT Skills and Certifications of 2019

AI Researcher, Writer, Tech Geek. Working on Deep Learning & Neural Networks. #cobots #coding #algorithms