AWS Certified Machine Learning – The specialist course is designed for IT professionals who are working on the development of Data Science roles. This course validates the capacity of an individual to design, develop, deploy and configure Machine Learning (ML) solutions, as per the requirement of the organization. In this course, you will learn the feature engineering techniques including outliers, imputation, normalization, and binding. Through this course, you will also be able to learn Data Engineering with S3, Kinesis, DynamoDB, and Glue. Gradually, you will earn a comprehensive view of Deep Learning and hyperparameter tuning of Deep Neural Networks. The subject matter of this course also covers high-Level Machine services including comprehend, transcribe, translate, recognition, and more. This course will also cover Exploratory Data Analysis with scikit_learn, Apache Spark and EMI.
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AWS CERTIFIED MACHINE LEARNING – SPECIALTY MLS-C01 TRAINING
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Prerequisites
- You are required to have associate-level knowledge of AWS service, such as EC2.
- It is ideal if you have familiarity with Machine Learning, but not required.
- You are required to have an AWS account to work with the lab sessions.
What will you gain after this course
- You will be recognized as an AWS certified Machine Learning Specialist.
- You can work on Machine Learning products and/or services, with the help of this course.
- You can expand your job opportunities with the help of this course.
Jobs you can get
with a AWS Certified Machine Learning – Specialist Certification
- Senior Analyst, Machine Learning DevOps
- Big Data Specialist
- System Programmer
- Senior Manager – Analytics
- Data Science Solutions Architect
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Who is this certification for?
- IT professionals working on Machine Learning (ML) and Artificial intelligence (AI).
- Organizations that are focusing on developing products and/or services based on Machine Learning.
- Anyone willing to pursue his/her career in Machine Learning, Deep Learning and/or Artificial Intelligence
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