The AWS Certified Machine Learning Engineer – Associate (MLA-C01) certification is a newly introduced credential that validates an individual’s proficiency in designing, implementing, deploying, and maintaining machine learning solutions using AWS services. It is tailored for professionals with at least one year of experience in machine learning engineering and AWS services like Amazon SageMaker. This certification is particularly important for individuals in New York, where the demand for AI and machine learning specialists is rapidly growing.
AWS Certified Machine Learning Engineer – Associate Training in New York for this certification equips candidates with essential skills to tackle complex ML tasks, optimize model performance, and enhance their career prospects in a competitive job market, making it a valuable asset for those looking to advance in the tech industry.
Prepare for the Future of AI with AWS Certified Machine Learning Engineer - Associate Training
Preparing for the future of AI with the AWS Certified Machine Learning Engineer – Associate training in New York is a strategic move for professionals looking to enhance their machine learning skills. This certification, launched in June 2024, is designed for individuals with at least one year of experience in machine learning engineering and AWS services like Amazon SageMaker.
It covers essential topics such as data preparation, model training, and deployment, validating your ability to implement and operationalize machine learning solutions effectively. In a competitive job market like New York, where demand for AI specialists is soaring, this training not only boosts your credibility but also opens doors to in-demand roles, positioning you for success in the rapidly evolving tech landscape.
– Gain knowledge of the entire machine learning lifecycle, including data preparation, model training, and deployment on AWS.
– Learn to effectively utilize AWS services such as Amazon SageMaker for developing and deploying machine learning solutions.
– Acquire skills to monitor and optimize the performance of machine learning models in production environments.
– Understand how to orchestrate machine learning workflows and automate processes using AWS tools.
– Validate your skills and enhance your credibility, positioning yourself for higher earning potential and career opportunities in AI and machine learning.
– Equip yourself for various roles in the industry, including Machine Learning Engineer, Data Engineer, and MLOps Engineer.
– Techniques for data preparation and feature engineering
– Selecting appropriate ML algorithms and frameworks
– Deploying ML models to production environments
– Monitoring model performance and drift in production
– Integrating other AWS services like Amazon S3, AWS Lambda, and Amazon Athena
– Aspiring Machine Learning Engineers
– Data Scientists
– Data Engineers
– MLOps Engineers
– Software Developers
– Cloud Architects
– DevOps Engineers
– Business Analysts
The AWS Certified Machine Learning Engineer – Associate training in New York is designed for individuals aiming to deepen their expertise in machine learning using AWS services. Prerequisites for this training typically include at least one year of experience in machine learning engineering or related roles, such as data engineering, data science, or software development.
Participants should possess a foundational understanding of common machine learning algorithms, data engineering principles, and AWS services like Amazon SageMaker. Familiarity with software engineering best practices, cloud resource provisioning, CI/CD pipelines, and AWS security measures is also recommended.
Choose NYTCC for AWS Certified Machine Learning Engineer Training
Choosing NYTCC (NewYork Training Center and Certifications) for your AWS Certified Machine Learning Engineer training in New York offers a comprehensive and hands-on learning experience tailored to equip you with essential skills in machine learning. NYTCC provides expert-led courses that cover the entire machine learning lifecycle, including data preparation, model training, and deployment using AWS services like Amazon SageMaker. With a focus on real-world applications, the training emphasizes practical exercises that prepare you for the challenges of the industry.
NYTCC’s supportive learning environment fosters collaboration and networking opportunities with peers and instructors.
By enrolling in AWS Certified Machine Learning Engineer – Associate training in New York, you position yourself to excel in the rapidly growing field of AI and machine learning, enhancing your career prospects and technical expertise.
AWS Certified Machine Learning Engineer - Associate Exam Format
Level | Associate | |
Exam Code | MLA-C01 | |
Total Questions | 85 | |
Duration | 170 Minutes | |
Exam Option | Pearson VUE testing center | |
Eligible candidate | People possessing a minimum of one year of expertise in utilizing Amazon SageMaker along with other machine learning engineering services on AWS | |
Language | English, Japanese | |
Candidate Roles | Backend software developer, DevOps engineer, data engineer, MLOps engineer, data scientist | |
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AWS Certified Machine Learning Engineer - Associate Examination Cost
The cost for the AWS Certified Machine Learning Engineer – Associate certification exam is $75 USD during its beta phase. This pricing is significantly lower than typical associate-level certifications, which usually cost around $150.Â
Domains of AWS Certified Machine Learning Engineer - Associate Certitificate
Domains | Description |
Data Preparation for Machine Learning | Focuses on ingesting, storing, and transforming data, as well as ensuring data integrity and preparing datasets for modeling. |
ML Model Development | Covers the selection and training of machine learning models, including hyperparameter tuning and evaluation of model performance. |
Deployment and Orchestration of ML Workflows | Involves deploying machine learning models into production environments and orchestrating workflows for efficient model management. |
ML Solution Monitoring, Maintenance, and Security | Addresses the monitoring and maintenance of deployed models, ensuring security and compliance throughout the machine learning lifecycle. |
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High Paying Jobs Ahead
Earning the AWS Certified Machine Learning Engineer – Associate training in New York along with certification opens up a wealth of career opportunities in the rapidly evolving fields of machine learning and cloud computing. Professionals with this credential can pursue roles such as Machine Learning Engineer, where they design and deploy machine learning models, and Data Engineer, focusing on data pipelines and quality. Other potential career paths include MLOps Engineer, responsible for maintaining and monitoring ML models in production, and Data Scientist, applying statistical methods to derive insights from data.
Average Salary
The average salary for an AWS Certified Machine Learning Engineer – Associate in the United States is around $140,000 to $160,000 per year.
Enroll for AWS Certified Machine Learning Engineer - Associate Training Today
Enroll in NYTCC’s AWS Certified Machine Learning Engineer – Associate training in New York today and take the first step towards mastering machine learning on the cloud.
Our comprehensive curriculum covers the entire ML lifecycle, including data preparation, model development, deployment, and monitoring using AWS services like Amazon SageMaker.