AI Careers

Start A Machine Learning Career To Work As An AI Engineer Or To Get The Other Top 11 AI Jobs




AI Careers are one of the fastest growing career paths today.

Organizations like Intel, Uber, Wells Fargo, Samsung, Lenovo, IBM, Amazon, Facebook, Adobe and many more are hiring AI Engineers, not to forget that Google AI Jobs are also something which you could look at applying for in your AI Career. Many start-up companies are  utilising AI Engineers to disrupt traditional industries in healthcare, transport and more.


How To Start An AI Career ?

Well the first step to starting a career in Artificial Intelligence would be to learn some of the following technical skills.

  • Design Patterns

  • Statistics and Mathematics

  • Machine Learning

  • Deep Learning & Neural Networks

  • Software Development Life Cycle

  • OOPS, Classes

  • Robotics, Instrumentation & Electronics (Optional)

  • Programming languages like Java, C++, STL, Python, and Scala

Learn to write programs using the foundational AI algorithms powering everything from NASA’s Mars Rover to DeepMind’s AlphaGo Zero. You’ll master Beam Search and Random Hill Climbing, Bayes Networks and Hidden Markov Models, and more when you start an AI course.

Once you have done a basic AI Course (See Best Computer Courses In AI below), the next step would be to apply for entry-level AI job openings. There are openings for robotic engineers,  developers in gaming or analysts for search engines.


How Do You Learn These Technical Skills ?

Start off be attending basic AI Career courses, programming courses including python, machine learning etc, AI workshops and learning as much as you can so you can know if AI is the correct field for you.

Here are some ways to get more knowledge on AI.

  • Meet up with AI experts, participate in hackathons & conferences and register for relevant courses.

  • Be an active participant by checking Open Source Libraries like Machine Learning Github.

  • Practice on a few open source website to get familiarised with rectifications.

  • There are many tutorials available on YouTube which you can watch.

  • Make yourself a member with all the active AI community group.

  • Interestingly Google AI Jobs require all or some of these qualifications :

    • PhD in Computer Science, related technical field, or equivalent practical experience.

    • Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence.

    • Experience contributing to research communities and/or efforts, including publishing papers at conferences.

    • Programming experience in one or more of the following: C, C++, Python.

    Preferred qualifications:

    • Experience in project and people management.

    • Experience in providing technical leadership for projects.

    • Relevant work experience, including full time industry experience or as a researcher in a lab.

    • Ability to design and execute on research agenda.

    • Excellent publication record.


HoW To Start a Career IN AI

4 FREE AI Courses

100% Free Best Computer Courses


Artificial Intelligence will define the next generation of software solutions. This computer science course provides an overview of AI, and explains how it can be used to build smart apps that help organizations be more efficient and enrich people’s lives. It uses a mix of engaging lectures and hands-on activities to help you take your first steps in the exciting field of AI.

100% Free Best Computer Courses


In this course, you’ll learn how to use Node-RED to augment the capabilities of your Watson Assistant chatbots by integrating them with services such as Watson Translate and Text to Speech. You’ll also practice deployment of chatbots to Facebook Messenger.

100% Free Best Computer Courses


Want to study machine learning or artificial intelligence, but worried that your math skills may not be up to it? Do words like “algebra’ and “calculus” fill you with dread? 

You’re not alone. machine learning and AI are built on mathematical principles like Calculus, Linear Algebra, Probability, Statistics, and Optimization; and many would-be AI practitioners find this daunting. This course is not designed to make you a mathematician. Rather, it aims to help you learn some essential foundational concepts and the notation used to express them.

100% Free Best Computer Courses


Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.

In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks.


So What Industries Are Using AI ?

  • Medicine: including interpretation of medical images, diagnosis, expert systems to aid GPs, monitoring, and control in intensive care units, the design of prosthetics, a design of drugs.

  • Robotics: including vision, motor control, learning, planning, linguistic communication, cooperative behavior.

  • Engineering: fault diagnosis, intelligent control systems, intelligent manufacturing systems, intelligent design aids, integrated systems for sales, design, production, maintenance, expert configuration tools (e.g. ensuring sales staff don’t sell a system that won’t work.

  • Information Management: this includes the use of AI in data mining, web crawling, email filtering, etc. For example, a company in California uses AI to help retailers mine for consumer data by sifting through the ages, postcodes, and buying habits of people who buy goods over the internet. Google is a set of applied artificial intelligence platforms, which are able to ‘learn’.

  • Space: control of space vehicles and autonomous robots too far from earth to be directly manipulated by humans on earth, because of transmission delays. Nasa uses AI to help plan and schedule space shuttle maintenance.

  • Military Activities: this may be the area in which most funds have been spent. It is also not easy to learn about the details.

  • Marketing: AI is being used to develop more targeted, relevant, and timely marketing programs to increase customer attrition rates.

Machine Learning Career



Opportunities At Amazon

From Alexa to Amazon Go, we use machine and deep learning extensively across all areas of Amazon. With the mission to bring these innovative and valuable technologies to as many developers as possible, Amazon and AWS are investing in AI services.

We recently announced Amazon Lex, Amazon Polly, and Amazon Rekognition, providing cutting edge deep learning components for application developers without the need for deep mathematical skills, and AI engines for data scientists to create sophisticated, custom intelligent systems. Learn more about our current product offerings here.

We are looking for Software Engineers, Development Managers, Product Managers, and Scientists as we build tools across the AI stack. Applied Machine Learning experience is not required for all engineers, but our roles will provide a great way to grow in the field working with talented ML practitioners.


Remember Mathematics plays a crucial role in artificial intelligence. So, Calculus and Linear Algebra are the bare minimum to start your artificial intelligence journey. If you have done these subjects in school, which most students have, then you are on your way. If not take a look at this free course.

A great start would be to learn a programming language that is crucial to AI and that is to learn Python, you can learn Python with the Microsoft  Absolute Beginner Introduction To Python Course

Best Computer Courses In AI
So what AI JOBS can you apply for once you have completed some of our recommended AI Courses :
AI Engineer / Machine Learning Engineer
AI Programmer / Machine Learning Programmer
Data Mining Analyst
Data Scientist
Software analysts and developers.
Computer scientists and computer engineers.
Algorithm specialists.
Research scientists and engineering consultants.
Mechanical engineers and maintenance technicians.
Manufacturing and electrical engineers.
Surgical technicians working with robotic tools.
Medical health professionals working with artificial limbs, prosthetics, hearing aids and vision restoration devices.
Military and aviation electricians working with flight simulators, drones and armaments.
Graphic art designers, digital musicians, entertainment producers, textile manufacturers and architects.
Post-secondary professors at technical and trade schools, vocational centers and universities.
Not ready for AI then start off with learning a few FREE  basic HTML full courses for beginners, Learn C Online, Get Python Lessons and do the best Javascript course. Click below for more details.

ai Career Future

Google, Intel and many of our  large corporations are investing billions of dollars into the next Industrial Revolution, the 4th Industrial Revolution or 4IR which will bring huge advancement and new products using Artificial Intelligence/Machine Learning and Robotics.  “Top AI Specialists are already making between $300k and $500k salaries.

Its a common belief and its already happening, human jobs are being lost to disruption and robots/computers but even though robots may be coming for some jobs, they will likely create new roles as well. AI Careers are expected to grow as more and more products and services adopt new technology to make robots think for themselves but even robots need to be programmed, upgraded and repaired.

To be part of this 4IR, start a best computer course in AI below and you will be on your way to a great AI Career

Working with artificial intelligence requires an analytical thought process and the ability to solve problems with cost-effective, efficient solutions. … Additionally AI specialists need technical skills to design, maintain and repair technology and software programs so you can be assured that your job in AI won’t be taken by a robot anytime soon.

The field of artificial intelligence has a tremendous career outlook with high pay, a growing number of intriguing sub-fields and the ability to work with life-changing technology on a daily basis. A career in artificial intelligence requires a passion and knowledge for emerging technologies and data that ultimately drives progress

According to a Gartner report, Artificial Intelligence (AI) is estimated to pave way for close to 2.3 million opportunities by the year 2020. And if you look at a report from Indeed, vacancies in the realm of artificial intelligence has doubled over the last three years. A similar report from Indeed also reveals that the most in-demand job roles in artificial intelligence are that of machine learning engineers, software engineers and data scientists.

Try Out These Recommended Best Computer Courses In AI and Machine Learning From Edureka AND IBM


Artificial Intelligence is one of the fastest-growing and most exciting fields in technology today! Knowledge of Deep Learning and Machine Learning is highly valued by companies t that are creating cutting-edge technology and professionals with these skills can expect their career to skyrocket in the coming years. Edureka offers certification courses in TensorFlow and Mahout to help you take advantage of the career opportunities in Artificial Intelligence.   

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.


Within this series of courses, you’ll be introduced to concepts and applications in Deep Learning, including various kinds of Neural Networks for supervised and unsupervised learning. You’ll then delve deeper and apply Deep Learning by building models and algorithms using libraries like Keras, PyTorch, and Tensorflow. You’ll also master Deep Learning at scale by leveraging GPU accelerated hardware for image and video processing, as well as object recognition in Computer Vision.

Throughout this program you will practice your Deep Learning skills through a series of hands-on labs, assignments, and projects inspired by real world problems and data sets from the industry. You’ll also complete the program by preparing a Deep Learning capstone project that will showcase your applied skills to prospective employers.

This program is intended to prepare learners and equip them with skills required to become successful AI practitioners and start a career in applied Deep Learning.

AI Jobs / AI Careers Blog

Mar 2020

Posted by Maggie Johnson, VP, Google ResearchFor the past 15 years, the Google Faculty Research Award Program has helped support world-class technical research in computer science, engineering, and related fields, funding over 2000 academics at ~400 Universities in 50+ countries

Sponsored by:
AI is going to have wide spread impact across our nation. AI powered systems will operate at the speed of computation, while factors affecting operational readiness become managed through AI powered analytics. Deploying secure and reliable AI is an


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