The Advanced AWS Well-Architected Best Practices course is a comprehensive, role-based training program designed for professionals looking to optimize cloud workloads using the AWS Well-Architected Framework. This course helps learners refine their cloud architecture and operational strategies, ensuring alignment with AWS’s six pillars: operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability.

The course is divided into specialized modules tailored to various IT roles:

• Module 1: Solutions Architects – Focuses on resilient system design, advanced architecture patterns, and strategic decision-making.
• Module 2: Cloud Practitioners – Covers foundational AWS services with emphasis on cost optimization and security best practices.
• Module 3: Data Engineers – Addresses data ingestion, storage, processing, and building scalable, efficient pipelines.
• Module 4: Data Scientists – Explores machine learning deployment, big data analytics, and using AWS tools for data science tasks.
• Module 5: Developers – Teaches automation, integration, and CI/CD implementation within the AWS ecosystem.

Through real-world scenarios, hands-on labs, and expert insights, this course empowers learners to create secure, high-performing, and cost-effective AWS solutions.

Course Prerequisites

To succeed in this course, participants should have:

• Foundational knowledge of AWS services and basic architecture principles
• Experience working with cloud platforms, especially AWS (recommended completion of AWS Technical Essentials or equivalent experience)
• Familiarity with DevOps practices, networking, and security in cloud environments
• Understanding of specific domain tools (e.g., ML tools for data scientists, automation frameworks for developers)
• Prior exposure to the AWS Well-Architected Framework is beneficial but not required

This course is intended for professionals ready to move beyond foundational AWS knowledge and build advanced architecture and optimization skills.

Target Audience

The Advanced AWS Well-Architected Best Practices course is ideal for mid- to senior-level IT professionals who aim to enhance cloud architectures and improve workload performance:

• Solutions Architects – responsible for designing scalable and reliable architectures
• Cloud Practitioners – enhancing foundational AWS knowledge with strategic insights
• Cloud Engineers – optimizing infrastructure and service deployment
• Data Engineers – managing scalable data pipelines in AWS
• Data Scientists – deploying ML models and analyzing large data sets using AWS
• Software Developers – building, integrating, and automating cloud-native applications
• DevOps Engineers – implementing best practices in CI/CD, monitoring, and IaC
• IT Project Managers – managing cloud architecture projects and migrations
• Systems Administrators – ensuring operational excellence and system reliability
• Technical Leads – driving cloud strategy and architecture decisions
• Infrastructure Architects – designing network and resource frameworks in AWS
• Security Analysts – applying cloud-native security principles and frameworks
• Database Administrators – working with AWS-managed database services
• IT Consultants – advising on AWS cloud migration and optimization strategies
• Technical Decision Makers – evaluating cloud adoption from a business and technical perspective
• IT Professionals – pursuing advanced AWS certifications and roles

Why Choose us

⭢ Live Online Training (Duration : 8 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

By completing this course, participants will:

• Understand the five pillars of the AWS Well-Architected Framework and how to apply them across different job roles.
• Learn best practices for architecting secure and reliable solutions on AWS as a Solutions Architect.
• Gain insights into cost optimization and resource allocation strategies for managing AWS resources effectively for Cloud Practitioners.
• Acquire the skills to design and implement data lakes and analytics solutions to support decision-making as a Data Engineer.
• Explore advanced techniques for building scalable machine learning models and deploying AI solutions on the AWS cloud for Data Scientists.
• Develop proficiency in writing, deploying, and optimizing applications using AWS services and tools tailored for Developers.
• Enhance knowledge of the AWS security model and learn to implement robust security measures.
• Identify performance efficiency strategies to ensure scalable and elastic solutions.
• Learn to manage and automate infrastructure at scale using AWS best practices for operational excellence.
• Understand how to design cost-effective systems and measure the return on investment for cloud initiatives.