AWS Certified SysOps Administrator – Associate is a great starting point on the AWS Certification path for individuals who may have any of the following:
Experience working in a systems administrator role
Experience in AWS technology
Strong on-premises IT experience and understanding of mapping on-premises to cloud
Experience working in other cloud services
Prerequisites
To earn this certification, you’ll need to take and pass the AWS Certified SysOps Administrator – Associate exam. The exam features a combination of three possible question formats, including multiple choice, multiple response, and exam labs. Exam labs allow you to showcase your skills by building solutions using the AWS Management Console and AWS Command Line Interface (CLI). Additional information, such as the exam content outline and passing score, is in the exam guide.
AWS Certifications are valid for three years. To maintain your AWS Certified status, we require you to periodically demonstrate your continued expertise though a process called recertification. Recertification helps strengthen the overall value of your AWS Certification and shows individuals and employers that your credential covers the latest AWS knowledge, skills, and best practices.
Recertification for Associate certifications
take the Associate exam
You can take the Associate exam for the certification you already hold. So, for example, if you are an AWS Certified Solutions Architect – Associate, you can take the current AWS Certified Solutions Architect – Associate exam for recertification. You can use your 50% discount voucher from the Benefits section of your AWS Certification account to re-certify, or use it for any future certification exams you wish to take.
Taking the Professional Certification Exam
You can also meet the recertification requirements by taking either the AWS Certified Solutions Architect – Professional exam for the architecture path or the AWS Certified DevOps Engineer – Professional exam for the development or operations path. So, for example, if you pass the AWS Certified Solutions Architect – Associate exam, that satisfies the AWS Certified Solutions Architect – Associate recertification requirements.
AWS Certified Solutions Architect – Associate is a great starting point on the AWS Certification path for individuals who may have any of the following:
Experience in AWS technology
Strong on-premises IT experience and understanding of mapping on-premises to cloud
Experience working in other cloud services
Prerequisites
To earn this certification, you’ll need to take and pass the AWS Certified Solutions Architect – Associate exam. The exam features a combination of two question formats: multiple choice and multiple response. Additional information, such as the exam content outline and passing score, is in the exam guide.
AWS Certifications are valid for three years. To maintain your AWS Certified status, we require you to periodically demonstrate your continued expertise though a process called recertification. Recertification helps strengthen the overall value of your AWS Certification and shows individuals and employers that your credential covers the latest AWS knowledge, skills, and best practices.
Recertification for Associate certifications
take the Associate exam
You can take the Associate exam for the certification you already hold. So, for example, if you are an AWS Certified Solutions Architect – Associate, you can take the current AWS Certified Solutions Architect – Associate exam for recertification. You can use your 50% discount voucher from the Benefits section of your AWS Certification account to re-certify, or use it for any future certification exams you wish to take.
Taking the Professional Certification Exam
You can also meet the recertification requirements by taking either the AWS Certified Solutions Architect – Professional exam for the architecture path or the AWS Certified DevOps Engineer – Professional exam for the development or operations path. So, for example, if you pass the AWS Certified Solutions Architect – Associate exam, that satisfies the AWS Certified Solutions Architect – Associate recertification requirements.
This certification is intended for candidates who may be:
From a non-IT background and exploring a career in the AWS Cloud
In sales/marketing/business analyst roles looking to communicate more effectively with stakeholders and customers about the AWS Cloud
In on-premises IT or cloud roles, but new to AWS Cloud, and need a primer before diving into role-based AWS Certification(s)
Prerequisites
To earn this certification, you will need to take and pass the AWS Certified Cloud Practitioner exam. The exam features a combination of two question formats: multiple choice and multiple response. Additional information, such as a detailed exam content outline, is in the exam guide.
AWS Certifications are valid for three years. To maintain your AWS Certified status, we require you to periodically demonstrate your continued expertise though a process called recertification. Recertification helps strengthen the overall value of your AWS Certification and shows individuals and employers that your credential covers the latest AWS knowledge, skills, and best practices.
Recertification for Foundational-Certification
Take the “Cloud Practitioner” exam
You can take the current AWS Certified Cloud Practitioner exam for recertification. You can use your 50% discount voucher from the Benefits section of your AWS Certification account to re-certify, or use it for any future certification exams you want to take.
Obtain an Associate or Professional certification
You can fulfill the recertification requirement by taking any Associate or Professional exam.
Building Streaming Data Analytics Solutions on AWS
current course dates can be found at the bottom of this page … company training available on request!
Course description
In this course, you will learn to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK). Amazon Kinesis is a massively scalable and durable real-time data streaming service. Amazon MSK offers a secure, fully managed, and highly available Apache Kafka service. You will learn how Amazon Kinesis and Amazon MSK integrate with AWS services such as AWS Glue and AWS Lambda. The course addresses the streaming data ingestion, stream storage, and stream processing components of the data analytics pipeline. You will also learn to apply security, performance, and cost management best practices to the operation of Kinesis and Amazon MSK.
Course objectives
In this course, you will learn to:
Understand the features and benefits of a modern data architecture. Learn how AWS streaming services fit into a modern data architecture
Design and implement a streaming data analytics solution
Identify and apply appropriate techniques, such as compression, sharding, and partitioning, to optimize data storage
Select and deploy appropriate options to ingest, transform, and store real-time and near real-time data
Choose the appropriate streams, clusters, topics, scaling approach, and network topology for a particular business use case
Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
Secure streaming data at rest and in transit
Monitor analytics workloads to identify and remediate problems
Apply cost management best practices
Intended audience
This course is intended for:
Data engineers and architects
Developers who want to build and manage real-time applications and streaming data analytics solutions
Prerequisites
We recommend that attendees of this course have:
At least one year of data analytics experience or direct experience building real-time applications or streaming analytics solutions. We suggest the Streaming Data Solutions on AWS whitepaper for
those that need a refresher on streaming concepts.
current course dates can be found at the bottom of this page … company training available on request!
Course description
In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.
Course objectives
In this course, you will learn to:
Compare the features and benefits of data warehouses, data lakes, and modern data architectures
Design and implement a batch data analytics solution
Identify and apply appropriate techniques, including compression, to optimize data storage
Select and deploy appropriate options to ingest, transform, and store data
Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
Secure data at rest and in transit
Monitor analytics workloads to identify and remediate problems
Apply cost management best practices
Intended audience
This course is intended for:
Data platform engineers
Architects and operators who build and manage data analytics pipelines
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