🚀Entering Tech #028: Five AI careers to consider

🚀Entering Tech #028: Five AI careers to consider

08:53
AI careers you can try out.

03 || May || 2023

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Issue #28

Five AI careers
to check out

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Greetings ET people 🖖🏾

We’ve all heard this ominous statement in recent times: “AI is coming for all our jobs”. 

What the purveyors of this sentiment may not have mentioned is that AI is a field that is actually ripe with career opportunities, if you know where to look. In this week’s edition of Entering Tech, we take a look at the field of Artificial Intelligence (beyond ChatGPT!) and some promising careers in the field. If you’re interested in getting on the machines’ good side before the eventual uprising, this is probably a good time to get in the field and learn all you can. 

As usual, please share this newsletter within your networks so we can grow our readership before the newsletter AI that’s probably being built right now comes for our jobs. Happy reading!


by Pamela Tetteh and Timi Odueso.

Tech trivia

Some trivia before we begin. Answers are at the bottom of this newsletter. 

  1. What’s the first AI tool launched in the world?
  2. How many people use ChatGPT monthly?

What is AI?

AI stands for Artificial Intelligence, and this refers to intelligent machines that can perform tasks which typically require human intelligence. For Terminator fans, think Skynet.

You’ve probably used AI before. Yes, ChatGPT is currently the most prominent example of AI but before its launch, AI was already in our lives. From the use of weather apps and Google Maps to facial recognition software on phones and smart assistants like Amazon’s Alexa or Apple’s Siri, we’ve all interacted with AI at some point.

As technology advances, AI is becoming increasingly prevalent in our daily lives, from voice assistants on our phones to recommendation algorithms on social media platforms. With the growing demand for AI applications, the industry is expanding rapidly, making it an exciting career option for those interested in cutting-edge technology.

How AI works

So how does Siri know your voice? How does Spotify recommend music based on songs you’ve already listened to? Are there people running AI?

AI entails intelligent electronic systems and bots that can perceive and interpret human prompts in their environment and take actions that result in needed success. For this to work though, human beings have to train these machines in a process called machine learning—they have to teach the machine to recognise these human behaviours and respond accordingly. And they do this by feeding the machine large amounts of data and writing code—algorithms—so that it can understand that data.

Image source: Harsh Aryan

It’s just like raising a child, except this one does exactly what you tell it to do and isn’t sticky 80% of the time—and you can work it to the bone without human rights organisations crying child abuse. Jk, jk.

The Entering Tech Shorts

This edition of Entering starts with a question on if no-code development is the same as software engineering but with cheat codes. Foluso Ayodele, in 60 seconds, tells you everything you need to know about being a no-code developer.

Watch the 1-minute YouTube Short here!

Careers in AI

  • Skills needed: Mathematics, Machine Learning, Programming Skills (Backend), and Data Analysis.

1. Machine Learning Engineer: Machine learning engineers build and maintain machine learning systems that can learn and improve over time. They work on algorithms and models that can analyse data, detect patterns, and make predictions.

2. Data Scientist: Data scientists collect, process, and analyse large data sets to identify trends and insights. They use statistical and machine learning models to develop predictive models and inform business decisions.
3. Natural Language Processing (NLP) Engineer: NLP engineers develop algorithms and models that can understand and process human language. They work on applications such as voice assistants, chatbots, and sentiment analysis.
4. Computer Vision Engineer: Computer vision engineers develop algorithms and models that can analyse visual data such as images and videos. They work on applications such as facial recognition, object detection, and self-driving cars.
5. Robotics Engineer: Robotics engineers design and build robots that can perform tasks autonomously. They work on applications such as industrial automation, medical robots, and drones.

Start your AI career here

Unlike other careers, AI and machine learning are best learnt by those with some knowledge of backend engineering and math. Check out this edition to learn more about backend engineering. 

Machine learning on Coursera
  • Price: Free ($79 for certificate)
  • Duration: 4 months
  • Tools Needed: Internet + Laptop
  • Level: Beginner
Get Course
Deep Learning Specialisation on Coursera
  • Price: Free ($49 for certificate)
  • Duration: 4 months
  • Tools Needed: Internet + Laptop
  • Level: Intermediate
Get Course
Machine Learning Crash Course on Google AI
  • Price: Free
  • Duration: 15 hours
  • Tools Needed: Internet + Laptop
  • Level: Intermediate
Get Course
Machine Learning Specialisation on EdX
  • Price: Free ($300 for certificate)
  • Duration: 12 weeks
  • Tools Needed: Internet + Laptop
  • Level: Intermediate
Get Course
Introduction to Machine Learning for Coders on Fast.AI
  • Price: Free
  • Duration: 12 weeks
  • Tools Needed: Internet + Laptop
  • Level: Beginner (for coders)
Get Course

Attend the Africa Teen Tech Festival

Explore the future of tech and kickstart your career at the Africa Teen Tech Fest! Gain valuable guidance on job hunting and identify career paths aligned with your interests. Participate in Drone Soccer, e-Sports and Virtual Reality exhibits. Teens can win ₦250,000 in cash prizes!

Register for the festival now!

Tech trivia answers

  1. Although AI programmes have been in development since the 1950s, the first one that could give output was a programme launched in 1996 called ELIZA which could respond based on a set of commands. 
  2. ChatGPT presently has about 100 million users globally. It achieved this status within five months of launch!

Jobs


There are more jobs on TechCabal’s job board.

Disclaimer: TechCabal is not affiliated with or associated with jobs and opportunities listed on all its job boards and newsletters. All applicants bear the responsibility of researching about the roles and companies they apply to.

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About

I am the CEO of 9JAGISTLAND.My name is Adedeji Timothy and my co-owner is Oyekola Damilare.This blog is born out of our passion to educating to people in all aspect of internet life.We are enthusiastic about writing posts and articles online.

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