AWS Load Balancing and Auto Scaling Fundamentals — PickAClass
⏱ 2h 42m 📚 27 lessons 🎧 Audio version

AWS Load Balancing and Auto Scaling Fundamentals

Learn to distribute cloud traffic and scale infrastructure automatically using AWS Elastic Load Balancing and Auto Scaling Groups.

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About this course

As cloud applications grow, managing sudden traffic spikes and maintaining high availability becomes a critical challenge. This text-based course guides you through the core concepts of traffic distribution and automated scaling on AWS, preparing you to build resilient cloud architectures. By reading through clear explanations and structured scenarios, you will transition from understanding basic infrastructure concepts to configuring robust, self-healing systems. You will learn how to direct web traffic efficiently and ensure your applications scale dynamically based on demand. What you'll learn: - Understand the foundational principles of cloud load balancing and high availability - Configure Application Load Balancers to route HTTP and HTTPS traffic efficiently - Set up Auto Scaling Groups to automatically adjust server capacity based on real-time demand - Implement target groups, routing rules, and health checks to maintain system uptime - Practice modern cloud monitoring concepts to track traffic patterns and scaling events This course starts with essential cloud networking terminology and load-balancing definitions before moving step-by-step into configuration workflows, target group management, and scaling policies. You will read through practical examples that simulate real-world traffic scenarios. This course is designed for beginners, aspiring cloud administrators, and systems engineers who want to learn core AWS infrastructure patterns. No prior cloud administration experience is required. Start reading today to master the fundamentals of highly available cloud infrastructure.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
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  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 14-day refund
    No questions asked
  • 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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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
AWS Load Balancing and Auto Scaling Fundamentals
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
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PickAClass — Name Surname
AWS Load Balancing and Auto Scaling Fundamentals
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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