Certifications
As from my experience working with Amazon Web Services (AWS) can become complex very rapidly, AWS is the most popular cloud computing service provider which offers 200 cloud services, that is why I decided to follow a certification path to understand the AWS solutions that relate to Data Science, this path has widened my understanding of AWS technologies, looking forward to take more Data Science related certifications in the future.
Following is a list of the certifications I currently hold:
AWS Certified Machine Learning – Specialty validates expertise in building, training, and deploying machine learning models on AWS. It covers a broad range of ML services and tools, including Amazon SageMaker, which are essential for delivering advanced AI solutions.
AWS Certified Data Engineer – Associate validates skills and knowledge in core data-related AWS services, ability to ingest and transform data, orchestrate data pipelines while applying programming concepts, design data models, manage data life cycles, and ensure data quality.
AWS Certified Solutions Architect – Associate is focused on the design of cost and performance optimized solutions. This is an ideal starting point for candidates with AWS Cloud or strong on-premises IT experience. This exam does not require deep hands-on coding experience, although familiarity with basic programming concepts would be an advantage.
The AWS Certified Cloud Practitioner validates foundational, high-level understanding of AWS Cloud, services, and terminology. Is a good starting point on the AWS Certification journey for individuals with no prior IT or cloud experience switching to a cloud career or for line-of-business employees looking for foundational cloud literacy.