Advance your career with machine learning
Machine learning skills are in demand, and the market is projected to grow exponentially.1 But the supply of machine learning skills is low—according to a recent report, only 9% of IT pros say they are highly skilled in machine learning.2
This guide shows how developers and current/aspiring data scientists leverage this skills gap, improving their machine learning capabilities, to advance their careers. You’ll also meet the AWS Machine Learning Heroes—technologists and academics who are proficient and passionate enthusiasts of emerging AWS machine learning technologies. Access the guide now to discover:
- Why the skills gap is a golden career opportunity
- Where to look to build your skills
- What specific knowledge and capabilities you need to acquire
- Who to connect with for expert guidance
- When you should get started
MACHINE LEARNING SKILLS GAP GUIDE
Learn how developers and data scientists worldwide have used the machine learning skills gap to their advantage.
1 Global Knowledge, 2019 IT Skills and Salary Report, 2019
Propel your career with machine learning skills from AWS
AWS Training and Certification is how machine learning experts are made
Organizations are struggling to find data scientists and developers with machine learning experience. Learn how you can become the machine learning problem-solver others look to.
AWS is how you build machine learning skills
Courses built on the curriculum leveraged by Amazon’s own teams
Learn your way
Get machine learning training anytime, anywhere in just a few hours or days, with flexible learning options to meet your needs.
Get trained by the experts
More machine learning happens on AWS than anywhere else.2 Choose courses with our helpful ramp-up guide, featuring machine learning fundamentals and helpful resources.
Earn industry-recognized credibility
Take the next step and earn the AWS Certified Machine Learning — Specialty Certification to demonstrate your skills and experience with an industry-recognized credential.
2 Deep Learning on AWS Guidebook, Nucleus Research, October 2019
8 reasons to build machine learning skills with AWS
Discover 8 reasons why AWS is the best place to learn the skills it takes to become a machine learning engineer, data scientist, or developer.
Discover 8 reasons why AWS is the best place to learn the skills it takes to become a machine learning engineer, data scientist, or developer
Relevant machine learning training for developers
Become a machine learning developer
Our tailored learning path for builders and software developers provides a recommended sequence of courses to help you gain relevant knowledge ASAP.
Follow the developer path
Achieve key milestones and plan next steps as you move closer to your goal on the Machine Learning Path: Developer.
Map your data science journey
Explore the world of data science
Build on your math, analytics, and statistics knowledge with a tailored learning program designed to accelerate your machine learning future.
Follow the data scientist path
Use our helpful guide to track your progress and skills growth with the Machine Learning Path: Data Scientist.
Connect with an AWS Machine Learning Hero
Get expert help applying machine learning—for all experience levels
Software Engineer and Training
Architect and AWS ML Hero
“AWS Training and Certification helped me to connect the dots and take my machine learning skills to the next level and, as a result, I was able to immediately apply my learnings.”
Senior Software Engineer
and AWS ML Hero
“My wife has like a million photos from our family…I'm trying to build a image organizer tagger program, which uses deep learning and computer vision.”
Joshua Arvin Lat,
CTO and AWS ML Hero
“(Machine learning) allows me to do things that I wasn’t capable of solving before, (such as) security and penetration testing…software engineering, (and) web development.”