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We're here to help you find itThe Advanced AWS Well-Architected Best Practices course is a comprehensive learning path designed for different roles within the cloud computing domain. It aims to enhance the expertise of professionals by providing in-depth knowledge on optimizing AWS workloads across various aspects.
Module 1: Solutions Architects focuses on designing resilient and efficient systems, with lessons covering advanced architectural patterns and decision-making frameworks.
Module 2: Cloud Practitioners delves into AWS core services and best practices, with lessons on cost optimization and security fundamentals.
Module 3: Data Engineers offers lessons on data ingestion, storage, and processing, ensuring high-performance and scalable data solutions.
Module 4: Data Scientists addresses the deployment of machine learning models and big data analytics, with lessons on leveraging AWS for complex data tasks.
Module 5: Developers is tailored to coding professionals, with lessons on automating and integrating applications within the AWS ecosystem.
Overall, this course will help learners refine their AWS skills, ensuring well-architected frameworks and solutions that meet industry standards.
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♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
Certainly, the Advanced AWS Well-Architected Best Practices course is designed for individuals with a foundational understanding of AWS services and architecture. Here are the minimum required prerequisites for students interested in undertaking this training:
These prerequisites ensure that learners have the foundational knowledge required to fully benefit from the Advanced AWS Well-Architected Best Practices course. With these skills, students will be well-prepared to dive into the more complex topics and scenarios presented in the training.
The Advanced AWS Well-Architected Best Practices course is designed for IT professionals seeking to optimize cloud infrastructures and services.
Target audience for the course:
Introduction: The Advanced AWS Well-Architected Best Practices course offers specialized knowledge across various roles, enhancing the ability to build secure, high-performing, resilient, and efficient infrastructure for applications and workloads on AWS.
Learning Objectives and Outcomes:
Advanced architectural patterns in technology involve complex frameworks that help structure software applications. These patterns guide the setup, maintenance, and scaling of systems addressing common issues such as efficiency, reliability, and accessibility. For instance, microservices architecture breaks down a large application into smaller, independently functioning pieces, improving scalability and ease of updates. Event-driven architectures, another example, manage workflows in real-time by responding to system events. Applying these patterns effectively ensures robust, maintainable, and scalable software solutions, facilitating best practices in development consistent with principles like those found in advanced AWS Well-Architected frameworks.
Decision-making frameworks are structured methods used by organizations to make consistent and rational choices. These frameworks guide stakeholders through a systematic process of identifying decision criteria, options, and possible outcomes. They help in assessing risks, benefits, and implications of each choice. Popular frameworks include SWOT analysis, the Decision Matrix, and Cost-Benefit analysis. Each framework varies in approach but aims to mitigate bias, promote clarity, and optimize the decision-making process, ensuring that decisions align with strategic goals and best practices. They are pivotal in enhancing decision quality and boosting organizational effectiveness.
AWS Core Services are fundamental components provided by Amazon Web Services for building and managing applications on the cloud. Key services include EC2 for scalable computing, S3 for data storage, RDS for database management, and Lambda for running code without managing servers. These services support the implementation of advanced AWS well-architected best practices which guide effective, secure, and efficient infrastructures. Using these core services, professionals can design systems that are high-performing, resilient, and cost-efficient, adhering to the highest standards of software architecture.
Cost optimization in technology is about reducing expenses while maintaining efficiency and effectiveness. It involves analyzing where funds are spent and identifying areas where costs can be reduced without sacrificing quality or performance. This strategic approach can include streamlining processes, adopting best practices, leveraging technology capabilities, and renegotiating contracts. An effective method seen in advanced AWS deployments is the use of the AWS Well-Architected Framework, which guides users in creating secure, high-performing, resilient, and cost-efficient systems. By following these principles, businesses can ensure they only use and pay for the resources they need.
Security fundamentals encompass the essential practices and concepts required to protect computer systems and networks from unauthorized access, damage, or theft. It involves understanding the principles of confidentiality, ensuring only authorized access to information; integrity, guaranteeing information is trustworthy and accurate; and availability, ensuring reliable access to resources by authorized users. Effective security fundamentals also include proactive measures such as implementing strong passwords, using secure networks, regular software updates, and educating users about potential security threats and how to mitigate them. These practices are crucial for maintaining the overall security posture of an organization.
Data ingestion is the process of transporting data from various sources into a storage medium where it can be accessed, used, and analyzed by an organization. This typically involves transferring data from operational systems like databases and customer applications to a central data warehouse, data lake, or other storage solution. The key aim is to consolidate data in formats that are readily usable and analyzable for business intelligence activities, operational efficiency, and decision-making. Effective data ingestion processes ensure that data is collected accurately, efficiently, and securely to support various usage scenarios and insights derivation.
Big data analytics is the process of examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information. These insights can help organizations make more informed decisions. Using advanced analytic techniques and high-performance technologies, businesses can analyze data from various sources such as social media, sensors, mobile devices, and more, aiding significantly in strategic planning and operational improvements. This approach is crucial in understanding massive volumes of data, enabling companies to optimize their operations, innovate, and enhance customer experience effectively.
Integrating applications within the AWS ecosystem involves connecting and enabling different software applications to work together seamlessly on Amazon Web Services. This process utilizes AWS services and tools to enhance functionality and performance. Best practices for integration include utilizing AWS Well-Architected Framework guidelines to ensure secure, high-performing, resilient, and efficient infrastructures. This involves choosing the right services for application needs, ensuring data flows efficiently between components, and maintaining scalable and manageable architectures. Doing so optimizes the application's functionality and leverages the full potential of the AWS environment to meet business requirements.
The Advanced AWS Well-Architected Best Practices course is designed for IT professionals seeking to optimize cloud infrastructures and services.
Target audience for the course:
Introduction: The Advanced AWS Well-Architected Best Practices course offers specialized knowledge across various roles, enhancing the ability to build secure, high-performing, resilient, and efficient infrastructure for applications and workloads on AWS.
Learning Objectives and Outcomes:
