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AWS Certification & Cloud Architecture Tracks

Our structured AWS curriculum aligns 100% with official AWS exam guides. From Practitioner to Professional and Specialty tiers, build hands-on experience using EC2, S3, VPCs, IAM, Lambda, Bedrock, SageMaker, and enterprise multi-account architectures.

Available Courses: 9|Hands-On Labs & Quizzes Included

Curriculum & Certification Track Courses

Select a course below to view the full detailed syllabus, prerequisites, lab sheet preview, and exam domains.

AWS Certified Cloud Practitioner (CLF-C02)

Build a strong foundational understanding of the AWS Cloud platform, global infrastructure, and security controls.

Duration: 15 Hours
Target: Business executives, sales managers, project leads, student beginners, and those new to cloud computing.
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AWS Certified AI Practitioner (AIF-C01)

Master foundational concepts of Artificial Intelligence, Machine Learning, and Generative AI on the AWS Cloud.

Duration: 20 Hours
Target: Business professionals, software developers, project managers, and beginners targeting cloud AI certifications.
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AWS Certified Solutions Architect - Associate (SAA-C03)

Design resilient, high-performing, secure, and cost-optimized architectures on Amazon Web Services.

Duration: 40 Hours
Target: IT professionals, systems administrators, developers, and aspiring solutions architects.
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AWS Certified Solutions Architect - Professional (SAP-C02)

Deliver advanced solutions architecture engineering for complex, enterprise-scale migrations and workloads on AWS.

Duration: 45 Hours
Target: Senior solutions architects, cloud consultants, and lead infrastructure engineers.
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AWS Certified Developer - Associate (DVA-C02)

Write, deploy, debug, and optimize applications built on Amazon Web Services serverless and container systems.

Duration: 35 Hours
Target: Software developers, engineers, and DevOps practitioners aiming to design code for AWS environments.
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AWS Certified DevOps Engineer - Professional (DOP-C02)

Automate delivery, orchestrate cloud builds, monitor operations, and secure deployment pipelines on AWS.

Duration: 40 Hours
Target: DevOps engineers, systems administrators, and release managers.
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AWS Certified Data Engineer - Associate (DEA-C01)

Design, build, monitor, and optimize scalable data pipelines, data warehouses, and analytics storage on AWS.

Duration: 30 Hours
Target: Data engineers, database administrators, and analytics professionals looking to specialize in AWS big data solutions.
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AWS Certified Machine Learning Engineer - Associate (MLA-C01)

Build, train, deploy, and scale machine learning models and ML pipelines using Amazon SageMaker and AI services.

Duration: 32 Hours
Target: ML engineers, data scientists, and developers wanting to deploy enterprise-grade AI models on AWS.
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AWS Certified Security - Specialty (SCS-C02)

Master advanced data protection, incident response, network security, and access authorization on AWS.

Duration: 30 Hours
Target: Security engineers, security architects, systems engineers, and cloud security analysts.
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