Career Tracks

Machine Learning & AI

101 What Is Machine Learning & AI?

AI is the field of technology that makes computer systems capable of mimicking human problem solving. Machine Learning is a subset of AI. Expect to start out in a data-driven role and move into more specialized AI roles. The average salary for a Machine Learning Engineer is $159,000.

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What is AI and Machine Learning?

The umbrella term, Artificial Intelligence (AI), has existed since the 1950’s, but has accelerated rapidly in the last 10 years. Machine Learning (ML) is a subcomponent of AI that uses specific statistical algorithms to process massive amounts of data in order to produce insights, predictions, and unique outputs.

As Evan Shy, the CEO of Coding Temple, describes: “The World Economic Forum predicts that tech advancements, from automation, artificial intelligence, to robotics, will displace 85 million jobs by 2025. However, this same technology will also create 97 million new jobs in areas like data analysis, software development, and cybersecurity. Ultimately it’ll depend on how you prepare for these inevitable changes.”

Machine Learning + AI Jobs

Traditional tech roles like Software Engineers and Data Scientists can incorporate AI and Machine Learning skills into their current jobs. For example, a Data Analyst might use the built-in AI feature in Tableau called "Explain Data" to uncover insights. Or an experienced QA Tester may use GitHub Copilot to write automated test scripts. However, in 2023, companies are now hiring for AI-specific roles like Prompt Engineer and AI Integration Specialist. Expect a lot of variability between job listings until these roles become more defined.

Here are some common ML/AI jobs: 

  • Data Scientist
  • Data Engineer
  • Prompt Engineer
  • AI Engineer
  • Software Engineer 
  • Product Manager
  • AI Ethics Officer
  • AI Data Curator
  • AI Trainer
  • AI Integration Specialist

Machine Learning/AI Engineer Job Description

Expect a job description for a Machine Learning Engineer or AI Engineer to ask for knowledge of Python and Spark. You may also see generative AI tools like ChatGPT or OpenAI. Codesmith’s Director of Machine Learning, Weylin Wagnon, says that “You need to be able to work with large amounts of data, be a smart programmer, understand neural networks, and have machine learning skills if you want to build the next generation of tech products. And if you don’t, you’ll be left behind over the next 10 to 15 years. It’s hard to observe the future of jobs and not be scared of how machine learning is taking over; I think the best way to stem that tide is to get into the field yourself.”

What Does a Machine Learning or AI Engineer Do?

Wagnon says that “In general, machine learning is equal parts math, statistics, computer science, and voodoo.” 

Varun Kumar, an AI Engineer who graduated from Flatiron School, says that his job is “part data wrangling, part coding, and part researching new techniques and software that has been developed in dealing with large language models and processing natural language.” Varun breaks it down even further into 6 categories of on-the-job requirements:

  • Research: Stay updated with the latest advancements in the field. This could involve reading research papers, attending seminars or webinars, and participating in online forums and communities. This is crucial as the field of AI and machine learning is evolving rapidly.
  • Data Preparation: Work on preparing and pre-processing the data for training language models. This involves collecting data, cleaning it, and converting it into a format that can be used for machine learning.
  • Model Development and Training: Design and implement machine learning models. This includes choosing the right algorithms, tuning parameters, and training the model on the prepared data. This process often requires running experiments and making iterative improvements based on the results. Many times, I am building on pre-trained models with either fine tuning, or instruction via prompts.
  • Model Evaluation: Evaluate the performance of the models using appropriate metrics. This often involves testing the model on a held-out validation set and analyzing the results.
  • Collaboration: Work closely with other teams, such as product development, to integrate the AI models into products or services. This could involve optimizing the model for deployment, working on the user interface, or addressing user feedback.
  • Documentation and Presentation: Document the work for future reference and present findings to stakeholders or to the technical team. This might involve writing technical reports, creating presentations, or showing working code.

ML + AI Engineer Salaries

The average Machine Learning Engineer salary is $158,676 per year with up to $177,583 in cities like San Francisco. Newly-created roles like Prompt Engineer can earn up to $335,000 per year! 

ML/AI Skills You Need to Get a Job

According to Carianne Burnley, a Career Coach at Springboard, “The most widely used programming language in AI is Python, and the libraries and frameworks associated with it. Knowing other languages like Java and/or C++ can be helpful as well.”

Most Important AI Technical Skills + Languages:

  • Python
  • Databases
  • Big data tools like Spark
  • Cloud platforms like AWS or Azure
  • Data visualization tools like Tableau, PowerBI, or R
  • Mathematics like linear algebra, data interpretation, and deep learning.

Soft Skills for AI and Machine Learning

Burley says that if you are interested in becoming an AI Engineer, you will likely have these three soft skills: 

  1. Curiosity and the hunger to continually learn more 
  2. Strong communication skills 
  3. Motivation

Even if you learn all of these topics at an AI Bootcamp, expect to continue learning on the job where you'll be working with data at scale. Imesh Ekanayake, a mentor at Metana bootcamp, highlights, "I find that where people often lack skills is when attempting to handle tasks at scale, especially in the cloud. Dealing with multi-terabyte or even terabyte-scale datasets adds a whole new level of complexity to the equation."

How to get into Machine Learning/AI

Machine learning & AI bootcamps last between 12-24 weeks and cost anywhere from free to $30,000.

Realistically, a complete beginner in tech is not going to become an AI Engineer in 12 weeks. If you don't have a technical background, then start with a Software Engineering or Data Analytics bootcamp. Once you graduate, find an entry-level job working with data, and continue to learn! You can add to your skillset with one of these 17 AI Intro courses

FEATURED SCHOOLS

Schools may compensate Course Report for featured placement.

 

Displaying schools 26-50 of 78 in total


  1. University of Utah Professional Education Boot Camps offer 24-week, part-time web development, cybersecurity, data analytics, and UX/UI courses. The full sta... Learn more about University of Utah Professional Education Boot Camps.

    Brennan Louis Waterbury

    5Student - Course: Full Stack Web Development - Part-Time - Salt Lake City

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    Says: Innovation Drives Career Growth

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    ThePower Education is an online tech platform offering a 36-week, part-time full stack coding bootcamp, RockTheCode. ThePower Education also offers online co... Learn more about ThePower Education.

    Andrea Iñigo lara

    5Student - Course: ThePowerMBA - Online

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    UNC Charlotte Boot Camps offer 12-week, full-time and 24-week, part-time courses in web development, 24-week, part-time courses in data analytics, cybersecur... Learn more about UNC Charlotte Boot Camps.

    Erica Osborne

    5Graduate - Course: Cybersecurity - Part-Time - Charlotte

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    Ubiqum Code Academy is an immersive technical education institution, offering intensive programs in Data Analytics & Machine Learning and Full Stack Web ... Learn more about Ubiqum Code Academy.

    Roshan Kumar BhuyanRoshan Kumar Bhuyan

    5Student - Course: Data Analytics & Big Data, Full Time Onsite - Berlin

    Verified Via GitHub

    Says: Data Science

    I was doing my masters' degree in Space engineering and I was unhappy as I didn't find anything that kept me interested and devoted. I had tried a few things in
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    Artefact School of Data is an AI and data science training provider that offers full-time, immersive data science (10 weeks), data engineering (5 weeks), dat... Learn more about Artefact School of Data.

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    5Graduate - Course: Data Product Manager - Paris

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    Pragmatic Institute is an online technical education provider that offers courses in data science, product management, and design. Pragmatic Institute's cour... Learn more about Pragmatic Institute.

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    5Graduate - Course: Data Incubator Fellowship - Washington

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    UNH Coding Boot Camp is a part-time, 24-week courses in web development. The full stack curriculum includes HTML, CSS, JavaScript, jQuery, Bootstrap, Express... Learn more about UNH Coding Boot Camp.

    Tyler ReimerTyler Reimer

    5Student - Course: Full Stack Flex - Part-Time - Portsmouth

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    Says: Laying a vast foundation

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    Southern Methodist University (SMU) boot camps offer 12-week, full-time and 24-week, part-time web development courses, 24-week, part-time data science, fina... Learn more about SMU Boot Camps.

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    5Graduate - Course: Cybersecurity - Part-Time - Dallas

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    Says: Best Decision Ever!

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  9. UConn Boot Camps offer part-time, 24-week, web development and cybersecurity courses. The full stack curriculum includes HTML, CSS, JavaScript, jQuery, Boots... Learn more about The University of Connecticut Boot Camps.

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    5Graduate

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    Says: Informational, Intense, Hard-Won

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    Arizona State University (ASU) Bootcamps offer 24-week, part-time courses in cybersecurity, coding, data analytics, or financial technology, and an 18-week, ... Learn more about Arizona State University Bootcamps.

    Breona LewisBreona Lewis

    5Student - Course: Data Analytics - Part-Time - Online

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    University of Kansas Boot Camps are 24-week, part-time web development, data analytics, and cybersecurity courses. The full stack curriculum includes HTML, C... Learn more about KU Boot Camps.

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    5Student - Course: Full Stack Flex - Part-Time - Kansas City

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    neue fische is a leading provider for tech bootcamps in Germany, and offers 12-week bootcamps in Web Development, Java, Data Science, Data Analytics, and AWS... Learn more about neue fische.

    Konrad ScherbKonrad Scherb

    5Graduate - Course: Web Development Online - Hamburg

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    Metana

    4.87
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    Metana offers self-paced, online bootcamps covering Solidity (24 weeks) and Rust (24 weeks). The bootcamps are project-based and students will finish the cou... Learn more about Metana.

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    Michigan State University (MSU) Boot Camps are 24-week, part-time web development, data analytics, and cybersecurity courses, and an 18-week, part-time digit... Learn more about Michigan State University Boot Camps.

    Katie Rose AlfordKatie Rose Alford

    5Student - Course: Web Development - Part-Time - Online

    Verified Via GitHub

    Says: I went to MSU to learn how to fix our website and have found my one passion in life being a web developer

    I was working at an automotive company in Detroit and our website was in need of more help than I could provide at that time. We had hired a few different web d
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    The Ohio State University College of Engineering offers 24-week, part-time web development, cybersecurity, data analytics, and UX/UI boot camps held online. ... Learn more about The Ohio State University Boot Camps.

    Benjamin J BurwinkelBenjamin J Burwinkel

    5Student - Course: Data Analytics - Part-Time - Online

    Verified Via GitHub

    Says: Everything I was looking for

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    5Graduate - Course: Data Analyst Experience Accelerator - London

    Verified Via LinkedIn

    Says: Engaging, Challenging & Enjoyable

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    5Applicant - Course: Data Science & IA Bootcamp - Online

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