Machine learning (ML) can help you solve business problems in ways that weren’t possible before—but you’ve got to think big. Listen in as some of Amazon’s own Machine Learning Scientists discuss how to make the most of ML. We’ll cover ML terminology, business problems, use cases, and examples. By the end of this course, you’ll have a better understanding of how to think about machine learning business challenges and decisions.
Prerequisites
We recommend that attendees of this course have foundational understanding of cloud computing and Amazon Web Services (AWS), equivalent to Cloud Practitioner Essentials or Technical Essentials
Intended Audience
The primary audiences for this course are business decision makers and technical roles within the game development vertical. Technical roles include, but are not limited to:
Game designers
Game developers
Game artists
Game producers
Game administrators
Why The DataTech Labs ?
Self-Paced Online Video
A 360-degree learning approach that you can adapt to your learning style
A 360-degree learning approach that you can adapt to your learning style
Engage and learn more with these live and highly-interactive classes alongside your peers
24/7 Teaching Assistance
24/7 Teaching Assistance
Keep engaged with integrated teaching
Online Practice Labs
Projects provide you with sample work to show prospective employers.
Applied Projects
Real-world projects relevant to what you’re learning throughout the program
Learner Social Forums
A support team focused on helping you succeed alongside a peer community
Skill Covered
In this course, students learn how to:
Summarise the gaming landscape, requirements, and challenges.
Describe components used in AWS Game Tech products and their relationship to the game development industry.
Explain AWS Game Tech’s breadth, depth, and vision.
Discuss AWS Game Tech and its benefits to game developers of all sizes.
Categorize AWS Game Tech’s four solutions.
Differentiate managed and unmanaged AWS Game Tech services and their relationship with the Shared Responsibility Model.
The AWS Certified Machine Learning - Specialty certification is intended for individuals who perform a development or data science role. It validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.
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