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The new Machine Learning Engineering on AWS course is an exciting addition to the AWS training portfolio, designed to equip professionals with the skills needed to excel in the rapidly evolving field of machine learning (ML). This intermediate-level, three-day course offers a comprehensive blend of theory, practical labs, and activities, enabling participants to build, deploy, orchestrate, and operationalize ML solutions at scale.
Participants will gain hands-on experience with AWS services, such as Amazon SageMaker and analytics tools like Amazon EMR, learning to process, transform, and engineer data for ML tasks. The course also covers essential ML fundamentals and their applications in the AWS Cloud, making it an ideal stepping stone for those aiming to achieve the AWS Certified Machine Learning Engineer - Associate certification.
The AWS Certified Machine Learning Engineer - Associate certification validates an individual's technical ability to implement ML workloads in production and operationalize them. It is designed for professionals with at least one year of experience using Amazon SageMaker and other ML engineering AWS services. This certification is particularly beneficial for roles such as backend software developers, DevOps engineers, data engineers, MLOps engineers, and data scientists.
Benefits for Individuals:
- Career Advancement: Earning this certification can significantly boost your career profile and credibility, positioning you for highly sought-after ML roles. According to Skillsoft’s 2024 IT Skills and Salary Report, professionals in AI and machine learning are among the most in-demand, with 47% of IT decision-makers saying that AI and ML is their top priority going into next year, making this certification a valuable asset.
- Skill Enhancement: The certification process ensures that you have a thorough understanding of ML engineering on AWS, enhancing your ability to build, deploy, and maintain AI, ML, and generative AI solutions.
Benefits for Organizations:
- Increased Efficiency: Certified professionals can help organizations optimize model performance, update model versions seamlessly, and scale AI models for real-time usage, leading to more efficient operations.
- Competitive Edge: Organizations with AWS-certified team members are better positioned to leverage the full potential of AWS's cloud technologies, driving innovation and maintaining a competitive edge in the market.
Overall, the Machine Learning Engineering on AWS course, coupled with the AWS Certified Machine Learning Engineer - Associate certification, offers a robust pathway for professionals and organizations to thrive in the dynamic field of machine learning.