AWS Compute Services Essentials: EC2, ECS, and Lambda — PickAClass
⏱ 2h 42m 📚 27 lessons

AWS Compute Services Essentials: EC2, ECS, and Lambda

Master core cloud computing models and deploy applications using virtual servers, containers, and serverless technology on AWS.

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About this course

Every modern cloud architecture relies on robust compute resources to run applications, process data, and serve users. Understanding how to choose and configure the right compute service is the foundation of any successful AWS deployment. This course guides you through the fundamental compute options, helping you match your application needs with the most efficient cloud resources. You will transition from a basic understanding of cloud concepts to confidently selecting, configuring, and deploying services across virtual machines, containerized environments, and serverless architectures. What you'll learn: - Understand the core differences between IaaS, PaaS, and FaaS cloud service models - Configure and launch EC2 virtual servers with secure networking and storage - Deploy and manage containerized applications using ECS and modern container registries - Build event-driven, serverless applications using Lambda functions and modern execution environments - Apply basic security, monitoring, and auto-scaling practices to keep your compute resources highly available - Evaluate cost and performance trade-offs to select the optimal compute service for any workload You will start with foundational cloud computing terminology and virtualization concepts. From there, you will progress through structured text-based lessons covering EC2 virtual servers, container orchestration with ECS, and serverless scaling with Lambda, supported by clear architectural explanations and configuration examples. This course is designed for beginners, developers, system administrators, and technology students who want to build a solid foundation in cloud infrastructure. No prior AWS experience is required. Start reading today to master the core compute engines powering the modern cloud.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
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  • ♾️ Lifetime access
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • Short & focused
    2h 42m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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PickAClass
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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
AWS Compute Services Essentials: EC2, ECS, and Lambda
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
Proficient
1.7 hrs
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
AWS Compute Services Essentials: EC2, ECS, and Lambda
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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