AWS: Compute and Storage Course

AWS: Compute and Storage Course

This course delivers a solid foundation in AWS compute and storage services with a focus on practical application. It effectively introduces EC2 and serverless computing through concise lectures and h...

Explore This Course Quick Enroll Page

AWS: Compute and Storage Course is a 2 weeks online intermediate-level course on Coursera by Whizlabs that covers cloud computing. This course delivers a solid foundation in AWS compute and storage services with a focus on practical application. It effectively introduces EC2 and serverless computing through concise lectures and hands-on content. While brief, it aligns well with certification goals. Some learners may want deeper dives into advanced configurations. We rate it 8.2/10.

Prerequisites

Basic familiarity with cloud computing fundamentals is recommended. An introductory course or some practical experience will help you get the most value.

Pros

  • Comprehensive coverage of EC2 fundamentals and instance management
  • Clear introduction to serverless computing with AWS Lambda and SAM
  • Aligned with AWS Certified Developer Associate exam objectives
  • Provides hands-on practice for real-world cloud deployment scenarios

Cons

  • Course duration is relatively short, limiting depth in advanced topics
  • Minimal coverage of networking and security integration
  • Assumes prior basic knowledge of AWS, which may challenge true beginners

AWS: Compute and Storage Course Review

Platform: Coursera

Instructor: Whizlabs

·Editorial Standards·How We Rate

What will you learn in AWS: Compute and Storage course

  • Understand the fundamentals of Amazon EC2, including instance types and purchasing options
  • Configure and manage EC2 instances for scalable cloud workloads
  • Explore different storage solutions integrated with EC2 such as EBS, instance store, and S3
  • Build and deploy serverless applications using AWS Lambda and AWS SAM
  • Gain hands-on experience managing compute and storage resources in AWS

Program Overview

Module 1: Introduction to AWS Compute

Approx. 1 hour

  • Overview of AWS Global Infrastructure
  • EC2 instance types and use cases
  • AMI and instance lifecycle

Module 2: EC2 Management and Networking

Approx. 1 hour

  • EC2 purchasing options: On-Demand, Reserved, Spot Instances
  • Security groups and key pairs
  • Integration with VPC and EBS

Module 3: Storage Solutions in AWS

Approx. 45 minutes

  • EBS volumes and snapshots
  • Instance store vs EBS-backed instances
  • Integration with S3 for durable object storage

Module 4: Serverless Computing with Lambda and SAM

Approx. 45 minutes

  • Introduction to AWS Lambda
  • Writing and deploying Lambda functions
  • Using AWS SAM for serverless application deployment

Get certificate

Job Outlook

  • High demand for AWS-certified developers in cloud infrastructure roles
  • Skills applicable to DevOps, cloud engineering, and full-stack development
  • Prepares learners for industry-recognized AWS certification exams

Editorial Take

AWS: Compute and Storage offers a focused, exam-aligned curriculum ideal for developers targeting the AWS Certified Developer Associate credential. With a strong emphasis on practical implementation, it bridges theory and real-world cloud skills efficiently.

Standout Strengths

  • Exam-Focused Curriculum: The course is meticulously structured to align with the DVA-C02 certification path, ensuring learners cover all essential compute and storage domains. Each module maps directly to exam objectives, increasing certification readiness.
  • Practical EC2 Coverage: Learners gain hands-on familiarity with EC2 instance types, AMIs, and purchasing models like Spot and Reserved Instances. This practical knowledge is critical for optimizing cost and performance in real deployments.
  • Serverless Foundations: The course delivers a clear, accessible introduction to AWS Lambda and the Serverless Application Model (SAM). It demystifies event-driven architectures and deployment workflows essential in modern cloud development.
  • Concise and Focused Delivery: With only 3–3.5 hours of content, the course avoids fluff and maintains a high signal-to-noise ratio. This makes it ideal for time-constrained professionals seeking targeted upskilling.
  • Hands-On Learning Approach: Integrated labs reinforce theoretical concepts by guiding learners through actual deployment scenarios. This experiential model enhances retention and builds confidence in managing AWS resources.
  • Industry-Relevant Skills: Mastery of EC2 and Lambda translates directly to in-demand roles in cloud development and DevOps. The skills taught are immediately applicable in enterprise and startup environments alike.

Honest Limitations

    Short Course Duration: At under four hours, the course provides breadth but lacks depth in complex topics like auto scaling, load balancing, or advanced Lambda configurations. Learners seeking mastery may need supplementary materials.
  • Limited Beginner Support: The course assumes foundational AWS knowledge, which may overwhelm new users. Without prior exposure to the AWS console or core services, some concepts may be difficult to grasp quickly.
  • Narrow Scope: While excellent for exam prep, the course focuses narrowly on compute and storage. Broader architectural patterns, security best practices, and monitoring are not covered in detail, limiting holistic understanding.
  • Minimal Assessment Variety: The course relies heavily on video and hands-on demos but offers few knowledge checks or quizzes. This reduces opportunities for self-assessment and reinforcement of key concepts.

How to Get the Most Out of It

  • Study cadence: Complete one module per day with hands-on replication in the AWS console. This spaced repetition enhances retention and practical fluency in real environments.
  • Parallel project: Build a simple serverless API using Lambda and API Gateway alongside the course. Applying concepts immediately reinforces learning and builds portfolio value.
  • Note-taking: Document configuration steps and command-line snippets during labs. These notes become valuable references for future projects and certification revision.
  • Community: Join AWS study groups on Reddit or Discord to discuss challenges and share deployment tips. Peer interaction deepens understanding and exposes you to real-world use cases.
  • Practice: Repeat lab exercises in a free-tier AWS account. Rebuilding EC2 instances and Lambda functions from memory strengthens muscle memory and troubleshooting skills.
  • Consistency: Dedicate 30–45 minutes daily to maintain momentum. Short, regular sessions are more effective than infrequent, long study blocks for technical retention.

Supplementary Resources

  • Book: "AWS Certified Developer Associate Guide" by Kam Agah provides expanded context and practice questions that complement this course’s focused approach.
  • Tool: Use AWS Cloud9 or VS Code with AWS Toolkit to streamline Lambda development and deployment workflows taught in the course.
  • Follow-up: Enroll in the full Exam Prep DVA-C02 Specialization to gain comprehensive certification readiness across all domains.
  • Reference: AWS Well-Architected Framework documentation offers best practices for designing reliable, cost-effective systems using the services covered.

Common Pitfalls

  • Pitfall: Skipping hands-on labs to save time. Without practical experience, learners may struggle to apply concepts during exams or real projects, reducing long-term retention.
  • Pitfall: Misconfiguring IAM roles for Lambda functions. This common error prevents execution and frustrates beginners; careful attention to permissions is essential.
  • Pitfall: Overlooking cost implications of EC2 instance types. Selecting inappropriate instance families can lead to unnecessary expenses in real environments.

Time & Money ROI

  • Time: At 3–4 hours total, the course offers high time efficiency. Most learners complete it in under a week while gaining tangible cloud skills applicable immediately.
  • Cost-to-value: Though paid, the course delivers strong value for certification candidates. The focused content reduces the need for costly third-party training materials.
  • Certificate: The course certificate contributes to a Coursera Specialization credential, enhancing professional credibility and resume visibility for cloud roles.
  • Alternative: Free AWS Digital Training offers similar content but with less structure and no guided hands-on labs, making this course a better investment for active learners.

Editorial Verdict

This course excels as a targeted, certification-aligned resource for developers aiming to master AWS compute and storage fundamentals. Its concise format, practical labs, and clear focus on EC2 and Lambda make it an efficient stepping stone toward AWS certification. While not exhaustive, it delivers exactly what it promises: a streamlined path to understanding core services tested in the DVA-C02 exam. The integration of hands-on deployment with AWS SAM is particularly valuable, giving learners real experience with modern serverless workflows.

However, it’s best suited for learners with some prior AWS exposure. Absolute beginners may struggle without foundational knowledge of the AWS console or IAM. Additionally, the lack of in-depth assessments and limited coverage of networking and security means it should be paired with other resources for full certification readiness. Overall, this is a high-quality, focused course that delivers strong ROI for intermediate learners. We recommend it as part of a broader study plan rather than a standalone solution, especially for those serious about building a career in cloud development.

Career Outcomes

  • Apply cloud computing skills to real-world projects and job responsibilities
  • Advance to mid-level roles requiring cloud computing proficiency
  • Take on more complex projects with confidence
  • Add a course certificate credential to your LinkedIn and resume
  • Continue learning with advanced courses and specializations in the field

User Reviews

No reviews yet. Be the first to share your experience!

FAQs

What are the prerequisites for AWS: Compute and Storage Course?
A basic understanding of Cloud Computing fundamentals is recommended before enrolling in AWS: Compute and Storage Course. Learners who have completed an introductory course or have some practical experience will get the most value. The course builds on foundational concepts and introduces more advanced techniques and real-world applications.
Does AWS: Compute and Storage Course offer a certificate upon completion?
Yes, upon successful completion you receive a course certificate from Whizlabs. This credential can be added to your LinkedIn profile and resume, demonstrating verified skills to employers. In competitive job markets, having a recognized certificate in Cloud Computing can help differentiate your application and signal your commitment to professional development.
How long does it take to complete AWS: Compute and Storage Course?
The course takes approximately 2 weeks to complete. It is offered as a paid course on Coursera, which means you can learn at your own pace and fit it around your schedule. The content is delivered in English and includes a mix of instructional material, practical exercises, and assessments to reinforce your understanding. Most learners find that dedicating a few hours per week allows them to complete the course comfortably.
What are the main strengths and limitations of AWS: Compute and Storage Course?
AWS: Compute and Storage Course is rated 8.2/10 on our platform. Key strengths include: comprehensive coverage of ec2 fundamentals and instance management; clear introduction to serverless computing with aws lambda and sam; aligned with aws certified developer associate exam objectives. Some limitations to consider: course duration is relatively short, limiting depth in advanced topics; minimal coverage of networking and security integration. Overall, it provides a strong learning experience for anyone looking to build skills in Cloud Computing.
How will AWS: Compute and Storage Course help my career?
Completing AWS: Compute and Storage Course equips you with practical Cloud Computing skills that employers actively seek. The course is developed by Whizlabs, whose name carries weight in the industry. The skills covered are applicable to roles across multiple industries, from technology companies to consulting firms and startups. Whether you are looking to transition into a new role, earn a promotion in your current position, or simply broaden your professional skillset, the knowledge gained from this course provides a tangible competitive advantage in the job market.
Where can I take AWS: Compute and Storage Course and how do I access it?
AWS: Compute and Storage Course is available on Coursera, one of the leading online learning platforms. You can access the course material from any device with an internet connection — desktop, tablet, or mobile. The course is paid, giving you the flexibility to learn at a pace that suits your schedule. All you need is to create an account on Coursera and enroll in the course to get started.
How does AWS: Compute and Storage Course compare to other Cloud Computing courses?
AWS: Compute and Storage Course is rated 8.2/10 on our platform, placing it among the top-rated cloud computing courses. Its standout strengths — comprehensive coverage of ec2 fundamentals and instance management — set it apart from alternatives. What differentiates each course is its teaching approach, depth of coverage, and the credentials of the instructor or institution behind it. We recommend comparing the syllabus, student reviews, and certificate value before deciding.
What language is AWS: Compute and Storage Course taught in?
AWS: Compute and Storage Course is taught in English. Many online courses on Coursera also offer auto-generated subtitles or community-contributed translations in other languages, making the content accessible to non-native speakers. The course material is designed to be clear and accessible regardless of your language background, with visual aids and practical demonstrations supplementing the spoken instruction.
Is AWS: Compute and Storage Course kept up to date?
Online courses on Coursera are periodically updated by their instructors to reflect industry changes and new best practices. Whizlabs has a track record of maintaining their course content to stay relevant. We recommend checking the "last updated" date on the enrollment page. Our own review was last verified recently, and we re-evaluate courses when significant updates are made to ensure our rating remains accurate.
Can I take AWS: Compute and Storage Course as part of a team or organization?
Yes, Coursera offers team and enterprise plans that allow organizations to enroll multiple employees in courses like AWS: Compute and Storage Course. Team plans often include progress tracking, dedicated support, and volume discounts. This makes it an effective option for corporate training programs, upskilling initiatives, or academic cohorts looking to build cloud computing capabilities across a group.
What will I be able to do after completing AWS: Compute and Storage Course?
After completing AWS: Compute and Storage Course, you will have practical skills in cloud computing that you can apply to real projects and job responsibilities. You will be equipped to tackle complex, real-world challenges and lead projects in this domain. Your course certificate credential can be shared on LinkedIn and added to your resume to demonstrate your verified competence to employers.

Similar Courses

Other courses in Cloud Computing Courses

Explore Related Categories

Review: AWS: Compute and Storage Course

Discover More Course Categories

Explore expert-reviewed courses across every field

Data Science CoursesAI CoursesPython CoursesMachine Learning CoursesWeb Development CoursesCybersecurity CoursesData Analyst CoursesExcel CoursesUX Design CoursesProject Management CoursesSEO CoursesAgile & Scrum CoursesBusiness CoursesMarketing CoursesSoftware Dev Courses
Browse all 10,000+ courses »

Course AI Assistant Beta

Hi! I can help you find the perfect online course. Ask me something like “best Python course for beginners” or “compare data science courses”.