The AWS Machine Learning Specialty certification is a prestigious credential for professionals looking to validate their expertise in machine learning on the AWS platform. It demonstrates a deep understanding of machine learning concepts, AWS services, and the ability to design, implement, deploy, and maintain machine learning solutions.
What does this speciality consist of?
This consists of 4 subdomains having a modelling section that mostly asked questions about AWS Sagemaker, processing the data and managing the streaming solutions was among the mostly asked topics.
What is the AWS ML Specialty Certification?
The AWS Machine Learning Specialty certification is designed for individuals who have a solid understanding of machine learning and are proficient in implementing machine learning solutions using AWS services. It covers a range of topics, including data engineering, exploratory data analysis, modelling, machine learning implementation and operations, and business understanding.
How did I Got It for Free:
The AWS certification exams typically come with a price tag, and the Machine Learning Specialty exam is no exception, costing around $300. However, I discovered a way to obtain the certification effectively for free by becoming a part of the AWS Community Builders program.
As a member of the AWS Community Builders, I was eligible for a complimentary AWS certification voucher. All I had to do was request the voucher with the provided coupon code, and I was able to take the AWS Machine Learning Specialty exam without any financial burden.
Resources I Referred to Ace the Exam:
Frank Kane’s AWS Machine Learning Course: I enrolled in Frank Kane’s AWS Machine Learning course on Udemy. This course provided structured lessons, hands-on exercises, and real-world examples, significantly contributing to my understanding of machine learning concepts on the AWS platform.
https://www.udemy.com/course/aws-machine-learning/
Notion Page for AWS Machine Learning Specialty: I found a comprehensive Notion page that provided an overview of all AWS services related to machine learning. This page served as a valuable reference point, offering detailed information about different services and their applications.
AWS ML Specialty Practice Questions Dump:
Exam preparation is incomplete without practising real questions. I used a practice questions dump from ExamTopics, which proved immensely helpful in simulating the exam environment and understanding the question patterns.
AWS SageMaker FAQ Page:
AWS SageMaker is a key service covered in the certification exam. I delved into the AWS SageMaker FAQ page to gain a deeper understanding of the service’s features, use cases, and best practices.
Additional Insights from Reddit:
The AWS community on Reddit provided valuable insights and shared experiences from individuals who had successfully passed the AWS Machine Learning Specialty exam. This platform served as a supportive community where I could ask questions and gather additional tips for the exam.
Obtaining the AWS Machine Learning Specialty certification for free through the AWS Community Builders program was a fantastic opportunity. Leveraging resources like the Notion page, practice questions dump, SageMaker FAQ, and insights from the Reddit community played a crucial role in my successful exam preparation. If you’re aiming for this certification, exploring similar community programs and utilizing diverse study materials can significantly enhance your chances of success.
