Anton Gordon’s AI Cloud trends and services: Throughout his career Anton R. Gordon has earned multiple certifications, including AWS Certified Machine Learning Specialty, AWS Certified Data Analytics Specialty, and GCP Certified Data Engineer. Anton Gordon expertise spans a wide range of programming languages, such as Python, SQL, Bash, R, Gremlin, HTML, and CSS, and he is well-versed in the intricate workings of deep learning frameworks like PyTorch, Keras, and TensorFlow.
Much like traditional architects draw up blueprints for the framework used to create structures, data architects design the blueprints that organisations use for their data management systems. This includes drafting a data management framework to meet business and technology requirements while ensuring data security and compliance with regulations. Data architects work in a variety of industries, including the technology sector, entertainment, health care, finance, and government.
Data architects are IT professionals who leverage their computer science and design skills to review and analyse the data infrastructure of an organisation, plan future databases, and implement solutions to store and manage data for organisations and their users. Since almost every company uses data, data architects can work in nearly any industry, including technology, entertainment, health care, finance, and government.
Benchmark.ai is a cloud, SaaS company that believes empowering analytics engineers drives innovation. Cloud-native architectures coupled with machine learning-based forecasting tools can shorten the analytics cycle and drive analytics teams to generate critical insights. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry with easy-to-use data sets and deep learning APIs.
Benchmark.ai is led by Anton Gordon. 7x Certified Machine Learning Engineer (AWS Certified Machine Learning Specialty) with expertise in Python, SQL, Data Engineering, Databases (AWS Certified Database Specialty), Solutions Architecture (AWS Certified DevOps Engineer – Professional), Operations, Big Data Analytics, DevOps, Network Security (VPC, Private/Public Subnet, NAT Gateway, Multi-AZ/w Failover), Microservices, Docker, Kubernetes, CloudFormation, ETL and hands-on experience in cloud computing (AWS Certified Solutions Architect – Associate). Expertise in design and deployment of deep learning models using GCP (Google Cloud Platform Certified Professional Data Engineer), AWS, Xgboost, Keras, TensorFlow, ResNet, VGG-16, Factorization Machines, AWS Comprehend, Lex, Rekognition, BlazingText, Polly, LAMBDA, EMR, Hadoop, Kinesis (AWS Certified Data Analytics Specialty), Xgboost, Seq2seq, S3, Athena, Redshift, and SageMaker. Read more details at Anton Gordon.
What does an AWS Solutions Architect do? Similar to the way architects design the structure of buildings, AWS Solutions Architects design cloud solutions. They help organizations meet business requirements by strategizing the most efficient system possible. They also collaborate with other AWS project teams to ensure the solution is implemented correctly. AWS Solutions Architects are also responsible for monitoring the solution’s performance and troubleshooting any issues that may arise.
To become an AWS Certified Solutions Architect, you must pass a certification exam. AWS offers several different exams for a wide range of expertise levels. If this is your first AWS certification, you will be studying for the SAA-C03 exam (the AWS Solutions Architect – Associate Exam). It does not require extensive, hands-on coding experience. However, basic knowledge of programming concepts can be highly beneficial.