Are you trying to dig deep into AWS Machine Learning but don’t know where to start? Let’s talk about how you can do that with Cloud Academy.
Cloud technology democratizes so many things, not the least of which is the opportunity to experiment and learn. Take Machine Learning (ML), for instance. There are so many ways to learn about it and experiment with it. It used to be that you had to create your own algorithms from scratch or look for open source repositories to fork and repurpose.
For a while now, we’ve also had managed services that allow you to pick and choose models and data sets. This allows you to get started faster. That’s a great advantage, but like everything, it comes at a cost — a per-hour or sometimes per-minute cost! If you want to learn quickly, it can be overwhelming to…
- Make a goal
- Choose a service
- Get fluent enough in a service to achieve that goal
- Stay on top of your usage so your costs don’t spiral out of control
How can you get straightforward Machine Learning guidance?
It’s not always easy to find that on the web — that’s why we’ve created tons of resources on AWS Machine Learning, including our learning path: AWS Machine Learning – Specialty Certification Preparation. This is what we do!
Certification learning paths make it easier and more efficient for you and your team to learn and to prove you have some of the most in-demand skills in today’s marketplace. As Gartner states, “By 2022, public cloud services will be essential for 90% of data and analytics innovation.”
Our structured AWS Machine Learning – Specialty cert prep will help you:
- Get focused: You get a path to your milestones
- Get visibility: You get tracking so you can clearly see your start and end points
- Get awarded: You or your teams earn tangible accomplishments — AWS Certification
Want some of those tangible examples?
Our newest AWS Machine Learning Hands-on Labs are developed by experts with research and real-world field experience. These new labs are focused on the basic machine learning concepts featured in the AWS Machine Learning Certification Prep.
- Handling Missing Data
- Evaluating Model Predictions for Regression Models
- Evaluating Binary Classification Models
- Testing Your Models in the Real World
Want some personal guidance for the Machine Learning certification?
He can’t literally sit in the room with you (for now), but our AWS Certification Specialist, Stephen Cole, explains his insights into the AWS Machine Learning – Specialty exam. Check out Stephen’s observations below, taken from his preview course.
New content is always being created
Our teams are constantly creating new courses, labs, and exams for you. See what’s just released and coming soon on our Content Roadmap:
AWS Machine Learning Services
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How to Develop Machine Learning Models in TensorFlow
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Analyze CPU vs. GPU Performance for AWS Machine Learning
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New on Cloud Academy, January ’18: Security, Machine Learning, Containers, and more
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AWS Global Infrastructure: Availability Zones, Regions, Edge Locations, Regional Edge Caches
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Introduction to Amazon Machine Learning
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AWS re:Invent 2015: Real-World Smart Applications With Amazon Machine Learning
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