
Amazon Web Services (AWS)
AWS
At Allurtech, we provide comprehensive courses in cloud computing and AWS technologies to help individuals and organizations stay ahead in today's fast-paced business world. Our program covers essential topics such as AWS architecture, cloud infrastructure, security, storage, databases, and DevOps, with a focus on practical applications and real-world scenarios. We prioritize hands-on learning and provide access to a wide range of AWS tools and resources to ensure our clients are fully prepared to implement and manage AWS solutions. Our training emphasizes problem-solving, critical thinking, and effective communication skills, so our clients are equipped with the necessary knowledge and skills for success in this rapidly-growing field.

Training Objective
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Understand the role of AWS Solutions Architects in identifying and solving complex business problems using AWS cloud technologies and services.
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Learn about the process of assessing business requirements and developing solutions using AWS services, including conducting feasibility studies, cost-benefit analysis, and risk assessments.
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Understand the principles of AWS architecture and design, including network design, security, and scalability.
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Understand the importance of DevOps principles and methodologies for building and deploying applications on the AWS cloud.
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Become familiar with data analysis and data management techniques using AWS services such as Amazon Redshift, Amazon RDS, and Amazon EMR.
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Understand the importance of critical thinking, problem-solving, and effective communication skills in the field of AWS cloud computing.
Training Content
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Introduction to AWS cloud computing principles, methodologies, and techniques.
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Understanding the role of AWS Solutions Architects in designing and implementing cloud-based solutions.
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Familiarity with common AWS tools and technologies, such as AWS Management Console, AWS CLI, and AWS SDKs.
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Requirements gathering and documentation for AWS solutions, including techniques such as user stories, use cases, and AWS architecture diagrams.
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Data analysis and visualization using AWS services such as Amazon S3, Amazon Redshift, and Amazon QuickSight.
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Project management and stakeholder communication for AWS projects, including agile methodologies such as Scrum and Kanban.
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Best practices for problem-solving, critical thinking, and decision-making in AWS solutions design and implementation.
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Basic understanding of the AWS Well-Architected Framework and AWS Cloud Adoption Framework.
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Introduction to AWS DevOps methodologies, including continuous integration and continuous deployment (CI/CD) pipelines.
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Quality assurance and testing methodologies and techniques for AWS solutions, including automated testing using AWS services such as AWS Lambda and AWS CodePipeline.
