Course Overview
- In this AWS Machine Learning certification course, you will learn and master how to build, train, tune, and deploy Machine Learning (ML) models on the AWS platform. This course is designed to help you develop a solid foundation in AWS ML services and prepare you for the AWS Certified Machine Learning – Specialty exam with confidence.
- Our Certified AWS Machine Learning Specialty practice tests offer you a total of 300+ unique questions to provide a complete understanding of the exam structure and content. These practice tests are meticulously crafted to simulate real exam scenarios, ensuring that you are well-prepared to tackle challenging concepts and problem-solving questions.
- Additionally, the course includes hands-on labs to help you apply theoretical knowledge in practical environments. With 20+ lab sessions and Sandbox, you’ll explore services like Amazon SageMaker, AWS Lambda, Amazon Rekognition, Amazon Polly, Amazon Comprehend, and AWS Glue, gaining expertise in creating end-to-end ML pipelines.
AWS Certified Machine Learning - Specialty Description
The AWS Certified Machine Learning – Specialty exam validates your ability to design, implement, deploy, and support Machine Learning (ML) solutions for specific business problems.
The exam covers the following 4 domains that are essential for passing the AWS Certified Machine Learning exam. You must have a good understanding of these areas:
- Domain 1: Data Engineering
- Domain 2: Exploratory Data Analysis
- Domain 3: Modeling
- Domain 4: Machine Learning Implementation and Operations
To earn this certification you must take up and pass the AWS Certified Machine Learning exam. Enroll in our AWS Certified Machine Learning- Specialty course to start preparing for this exam. Get familiar with all the certification exam questions, syllabus and gain practical skills.
AWS Machine Learning skills you will learn:
- Select and justify the appropriate Machine Learning (ML) approach for a given business problem
- Identify appropriate AWS services to implement ML solutions
- Design and implement scalable, cost-optimized, reliable, and secure ML solutions
Why should you take AWS Certified Machine Learning Specialty Course?
Once you enroll in this certification, you will learn the exam topics such as:
- Data engineering
- Exploratory data analysis
- Modeling
- Machine learning implementation and operations.
This AWS Machine learning course teaches you how to interpret exam questions on each topic. Also, how to apply the concepts being tested in this exam so that you can eliminate incorrect responses more easily.
AWS Certified Machine Learning - Specialty Prerequisites
The AWS Certified Machine Learning - Specialty certification is intended for individuals who work in development or data science and have more than one year of experience developing, architecting, or running machine learning/deep learning workloads in the AWS Cloud.
We recommend that you have the following prerequisites before taking this exam:
- Two years of hands-on experience developing, architecting, and running Machine Learning or deep learning workloads in the AWS Cloud
- Ability to express the intuition behind basic ML algorithms
- Experience performing basic hyperparameter optimization
- Experience with ML and deep learning frameworks
- Ability to follow model training, deployment, and operational best practices
Key Features of the Course
- 300+ full-length practice questions
- 74 Video-course content
- 23 Hands-on Labs for AWS Machine Learning Specialty Certification
- Auto-updates to the course content
- 24x7 Support from our Subject Matter Experts
- Our Course come with the unlimited access for 2 years
- Course completion certificate
Included in this course
- Practice Tests10 Quizzes Available
- Video Course74 Videos Available
- Hands-on Labs23 Labs Available
- Cloud SandboxAvailable
AWS Certified Machine Learning Specialty Practice tests are designed by experts to simulate the real exam scenario. The questions are based on the exam syllabus outlined by official documentation. These practice tests are provided to the candidates to gain more confidence in exam preparation and self-evaluate them against the exam content.
AWS Certified Machine Learning Specialty Practice tests are designed by experts to simulate the real exam scenario. The questions are based on the exam syllabus outlined by official documentation. These practice tests are provided to the candidates to gain more confidence in exam preparation and self-evaluate them against the exam content.
Take this AWS Certified Machine Learning Specialty online course today and get your hands on the best learning with updated course content and in depth course videos
A cloud sandbox is a virtual environment that simulates environment for testing, development, and experimentation purposes. The AWS Cloud Sandbox can be used to test new applications, try out different configurations, or practice cloud skills.
Access the benefits of Cloud Sandbox along with the Video Course of AWS Certified Machine Learning Specialty course and explore real-time.
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Great Content, aptly curated considering exam syllabus. Practise exams really helped me to clear 8 cloud certification including this one
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