Course Prerequisites
This course is designed for those who are new to machine learning and want to gain basic understanding of how it all works. Prior experience in mathematics, coding, and data science is beneficial, but not required. Participants should have experience with relational databases and an understanding of how to write SQL queries. Knowledge of the basics of AWS services and architecture would also be beneficial.
Target Audience for AWS Foundations: Machine Learning Basics Certification Training
- Individuals interested in cloud computing and machine learning.
- IT professionals looking to learn about AWS machine learning services.
- Data scientists and analysts eager to apply ML on AWS platform.
- Software engineers looking to expand their skill set in AWS ML.
- Beginners aiming at understanding the basics of machine learning in the cloud environment.
Why Choose Koenig for AWS Foundations: Machine Learning Basics Certification Training?
- Training by Certified Instructors provides top-notch learning experiences
- Opportunity to Boost Your Career with emerging tech skill
- Customized Training Programs for specific learning needs
- Destination Training at worldwide locations for global exposure
- Affordable Pricing that offers value for your investment
- Recognized as a Top Training Institute in IT skills
- Flexible Dates to accommodate your schedule
- Instructor-Led Online Training for undivided attention
- Wide Range of Courses to choose the best fit for career growth
- Accredited Training that's widely recognized and valued globally.
AWS Foundations: Machine Learning Basics Skills Measured
Upon completing AWS Foundations: Machine Learning Basics certification training, individuals can gain thorough understanding of various AWS Machine Learning services. They can also acquire the skills to build, train and deploy ML models using AWS. These skills include familiarity with Amazon SageMaker, understanding of AWS data storage options, ability to automate data analysis, proficiency in Python-based development environments, understanding of ML algorithms and real-world model deployment. They also learn to solve real-world ML problems using Amazon's AI services.
Top Companies Hiring AWS Foundations: Machine Learning Basics Certified Professionals
Top companies hiring AWS Foundations: Machine Learning Basics certified professionals are Amazon, Microsoft, Google, IBM, and Oracle. These tech giants require experts in cloud-based machine learning models to enhance their AI capabilities. They offer competitive salaries and prospects for job growth, making them desirable workplaces for certified AWS professionals.
Learning Objectives - What you will Learn in this AWS Foundations: Machine Learning Basics Course?
Upon completing the AWS Foundations: Machine Learning Basics course, learners should be able to understand the fundamental concepts of machine learning (ML), identify the different types of ML models and when to use them, and comprehend the process of training ML models in the AWS environment. They will also grasp how to integrate and leverage various AWS services for machine learning objectives. Learners will become proficient in using AWS tools like SageMaker for model creation and deployment, recognize the essential steps in data preparation for ML, and understand how to evaluate model performance. Additionally, they should develop the ability to identify use-cases suitable for ML applications.
