AWS Certified Machine Learning Specialty MLS-C01 [2024] Free

TAWS Certified Machine Learning Specialty MLS-C01 [2024] Free Download

“The AWS Machine Learning Specialty Course” is designed to provide learners with practical experience in using AWS SageMaker, a cloud-based machine learning service. The course includes hands-on labs to demonstrate specific concepts related to machine learning on the AWS platform. Here are the key points of this course:

Requirements:

1. Familiarity with Python.
2. An AWS account (instructions will be provided to set up one).
3. Basic knowledge of Pandas, Numpy, and Matplotlib.
4. Active participation in the course discussion forum for assistance.

Course Overview:

• Introduction: Setting up the SageMaker environment. Handling mixed data types, missing data, and verifying model quality.
• Container-Based Approach: SageMaker’s use of containers to package algorithms and frameworks like PyTorch and TensorFlow. Creating a standard interface for building and deploying models.
• Hands-On Labs: Practical exercises on training, deploying, and invoking SageMaker models.
• Continuous Improvement: Applying changes in a production system, A/B testing, and rollback strategies with zero downtime.
• Fairness in Machine Learning: Addressing social trends related to fairness, explaining model decisions, identifying and measuring bias.
• Cloud Security: Protecting data and models from unauthorized use.
• Recommender Systems: Incorporating features like movie and product recommendations using state-of-the-art algorithms.
• Model Tuning: Using automated tools for tuning models, including time series forecasting, anomaly detection, and custom deep-learning models.
• Certification Preparation: Preparing for the AWS Certified Machine Learning – Specialty certification with high-quality practice exams.

Target Audience:

• Individuals interested in AWS cloud-based machine learning and data science.
• Those preparing for the AWS Certified Machine Learning – Specialty certification.

By the end of the course, participants are expected to have gained practical skills in using AWS SageMaker, handling various machine learning tasks, and be well-prepared for the AWS Certified Machine Learning – Specialty certification.

AWS Certified Machine Learning Specialty MLS-C01 [2024] Download

The term “AWS Certified” refers to individuals who have successfully completed one or more certification exams provided by Amazon Web Services (AWS). AWS certifications validate the knowledge and skills of individuals in various AWS cloud computing domains. These certifications are widely recognized in the industry and are intended for professionals working with AWS technologies.

AWS offers a range of certifications, each focusing on specific roles, expertise levels, and AWS services. Some examples of AWS certifications include:

1. AWS Certified Solutions Architect: Validates skills in designing distributed systems and applications on the AWS platform.
2. AWS Certified Developer: Focuses on validating skills related to developing and maintaining applications on AWS.
3. AWS Certified SysOps Administrator: Verifies expertise in deploying, managing, and operating scalable, fault-tolerant systems on AWS.
4. AWS Certified DevOps Engineer: Validates skills in implementing continuous delivery systems and automation processes on AWS.
5. AWS Certified Machine Learning – Specialty: Demonstrates expertise in machine learning technologies and AWS services.

Achieving AWS certification typically involves studying relevant materials, gaining hands-on experience, and passing a proctored exam. AWS Certified individuals are recognized as having the knowledge and skills necessary to effectively work with AWS cloud services and solutions. Certification is often sought by IT professionals, developers, system administrators, and others seeking to validate their proficiency in cloud computing with AWS. AWS Certified Machine Learning Specialty MLS-C01 [2024] Free Download

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AWS Certified Machine Learning Specialty MLS-C01 [ 2024 ] Free Download

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