AWS Certified Machine Learning – Specialty
Build, train, tune, and deploy machine learning (ML) models using the AWS Cloud with AWS Certified Machine Learning – Specialty exam.
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Module 1: Data Engineering
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Module 2: Exploratory Data Analysis
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Module 3: Modeling
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Module 4: Machine Learning Implementation and OperationsBuild machine learning solutions for performance, availability, scalability, resiliency, and fault Tolerance.Recommend and implement the appropriate machine learning services and features for a given problem.Apply basic AWS security practices to machine learning solutions.Deploy and operationalize machine learning solutions.
About The Course
The AWS Certified Machine Learning – Specialty (MLS-C01) examination is intended for individuals who perform a development or data science role. This exam validates an examinee’s ability to build, train, tune, and deploy machine learning (ML) models using the AWS Cloud.
It validates an examinee’s ability to design, implement, deploy, and maintain ML solutions for given business problems. It will validate the candidate’s ability to:
- Select and justify the appropriate ML approach for a given business problem.
- Identify appropriate AWS services to implement ML solutions.
- Design and implement scalable, cost-optimized, reliable, and secure ML solutions.
Course Objectives
This course teaches you about core aspects such as:
- Selecting and justifying the appropriate ML approach for a given business problem
- Identifying appropriate AWS services to implement ML solutions
- Designing and implementing scalable, cost-optimized, reliable, and secure ML solutions
Pre-Requisites
The successful candidate likely has 1–2 years of hands-on experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud, along with:
- The ability to express the intuition behind basic ML algorithms
- Experience performing basic hyperparameter optimization
- Experience with ML and deep learning frameworks
- The ability to follow model-training best practices
- The ability to follow deployment and operational best practices
What's included
- 24 Hours Training Course
- Certificate
- 4 Modules
- 24/7 Support
