AWS Cloud Engineering, Architecture & DevOps Specialization

EDUCBA via Coursera Specialization

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Overview

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This Specialization provides a comprehensive, hands-on pathway to mastering AWS Cloud engineering, architecture, DevOps automation, and IoT solution development. Learners progress from AWS foundations and secure cloud design to automation-first DevOps workflows and real-world IoT system deployment using AWS-native tools. The program is certification-aligned and emphasizes practical, job-ready skills through guided labs, real scenarios, and industry-relevant use cases.

Syllabus

Course 1: Master AWS Cloud Foundations: Build, Secure & Scale
Course 2: Master AWS Architect Skills: Build, Secure & Scale Systems
Course 3: Master AWS DevOps: Automate, Deploy & Scale Efficiently
Course 4: Master AWS IoT: Build, Automate & Deploy Smart Systems

Courses

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13 hours 46 minutes
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Learners will configure AWS accounts securely, deploy EC2 compute environments, design scalable architectures with Auto Scaling and Load Balancing, manage cloud storage with S3, build relational databases with Aurora and MySQL, and implement serverless solutions using Lambda, Cognito, and AWS SAM. This comprehensive AWS Solutions Architect Associate course equips learners with real-world cloud engineering skills through hands-on labs, guided walkthroughs, and practical demonstrations. By completing the course, learners gain the confidence to architect secure, high-performing, and cost-optimized workloads on AWS—skills highly valued by employers and essential for certification success. What makes this course unique is its structured, module-by-module progression that mirrors real AWS project workflows, emphasizing not only theory but also authentic cloud implementation. The course blends foundational concepts with advanced architecture practices, ensuring learners build both competency and confidence. With clear explanations, step-by-step labs, and exam strategies, this training accelerates readiness for the AWS Solutions Architect Associate certification while strengthening practical cloud-engineering expertise.
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11 hours 37 minutes
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Learners will understand AWS core services, apply cloud security best practices, configure compute resources, manage storage solutions, implement serverless and container technologies, and automate deployments using AWS-native tools. By completing this course, learners gain the confidence to navigate the AWS ecosystem, optimize cloud workloads, and prepare effectively for the AWS Cloud Practitioner certification. This course provides a structured, hands-on pathway through the AWS cloud—from account setup and IAM governance to VPC networking, EC2 provisioning, Auto Scaling, load balancing, S3 storage, databases, DevOps workflows, messaging services, and infrastructure automation. Each module blends conceptual clarity with real-world demonstrations to ensure practical skill development. What makes this course unique is its step-by-step sequencing of foundational to intermediate AWS concepts, reinforced through hands-on scenarios, quizzes, and role-based learning interactions. Learners not only build technical proficiency but also gain exam-aligned insights, enabling them to confidently evaluate cloud solutions, secure workloads, and design scalable architectures in a professional AWS environment.
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8 hours 42 minutes
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Learners will be able to automate SDLC workflows, manage version-controlled code, deploy applications with AWS CodeDeploy, build infrastructure using CloudFormation, configure load balancers, deploy serverless functions, analyze logs, monitor cloud systems, design secure networking, and implement automated CloudWatch-based responses. This comprehensive AWS DevOps Engineer Certification course equips learners with the practical skills required to build modern, scalable, and highly automated cloud environments. Through structured modules covering CI/CD automation, Infrastructure as Code, monitoring, and cloud networking, learners gain hands-on proficiency with the full AWS DevOps toolchain. The course provides step-by-step demonstrations, real-world scenarios, and simplified explanations that accelerate mastery of complex cloud concepts. Learners benefit by gaining job-ready DevOps capabilities, improving their ability to streamline deployments, ensure infrastructure reliability, and operate with confidence in production environments. What makes this course unique is its video-aligned learning structure, practice quizzes, graded assessments, and lesson-level objectives that reinforce understanding at every step. By completing this course, learners will be fully prepared to implement automation-first DevOps strategies and excel in AWS-focused technical roles.
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13 hours
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Learners will analyze IoT protocols, develop MQTT applications, configure Raspberry Pi hardware, integrate sensors, and deploy secure cloud-connected solutions using AWS IoT Core. They will also implement smart parking automation and evaluate real-time device communication across local and cloud environments. This course provides a complete, hands-on pathway for mastering end-to-end IoT solution development. Beginning with foundational IoT concepts, learners progress through Raspberry Pi setup, MQTT communication, Python scripting, sensor programming, and secure TLS-based cloud integration. A distinguishing feature of this course is its practical, project-driven approach—every concept directly contributes to building a fully functional Smart Parking System, providing learners with real-world IoT implementation experience. Learners benefit from structured modules, guided demonstrations, and incremental skill-building that mirror actual industry workflows. By completing the course, participants gain the ability to design scalable IoT architectures, integrate edge devices with cloud platforms, and automate data-driven actions using AWS Rule Engine—skills highly valued in modern IoT, embedded systems, and cloud engineering roles. This course uniquely blends hardware, software, networking, and cloud computing, making it ideal for anyone aspiring to build production-ready IoT applications.