KEDA - Kubernetes Event-Driven Autoscaling
Event-driven autoscaling for Kubernetes workloads with KEDA
In this course, you will: Understand KEDA architecture and how it extends Kubernetes HPA; Install and configure KEDA on production Kubernetes clusters; Configure ScaledObjects and ScaledJobs for event-driven scaling.

32+
Hours
8
Modules
17
Topics
4.7
Rating
Beginner-Friendly
Level
New
Batches weekly
About KEDA - Kubernetes Event-Driven Autoscaling
Event-driven autoscaling for Kubernetes workloads with KEDA
In this course, you will: Understand KEDA architecture and how it extends Kubernetes HPA; Install and configure KEDA on production Kubernetes clusters; Configure ScaledObjects and ScaledJobs for event-driven scaling.
What This Training Covers
The KEDA - Kubernetes Event-Driven Autoscaling programme at Tutorsbot spans 32+ hours across 8 structured modules. Every module is built around hands-on projects and real-world scenarios — not slide-heavy theory. Your instructor walks you through each concept with live demonstrations, code reviews, and practical exercises so you can apply what you learn from day one. The curriculum is aligned with current Technology Training industry expectations and hiring patterns.
Enrollment & Training Quality
KEDA - Kubernetes Event-Driven Autoscaling is available in 2 flexible learning modes — choose online live classes, classroom, hybrid, self-paced, or one-on-one depending on your schedule. Every batch is limited in size to ensure each learner receives personal attention, code-level feedback, and doubt resolution. Career support and certification are included with every enrolment. Tutorsbot instructors are working professionals who teach from delivery experience, and the training standard stays consistent across all modes and batches.
Course Curriculum
8 modules · 17 topics · 32 hrs
01KEDA Architecture and Concepts
8 topics
KEDA Architecture and Concepts
8 topics
- What is KEDA and why event-driven autoscaling matters
- KEDA vs Kubernetes HPA: differences and use cases
- KEDA components: Metrics Adapter, Controller, and Operator
- How KEDA integrates with the Kubernetes API server
- Scaler CRDs: ScaledObject, ScaledJob, and TriggerAuthentication
- KEDA event loop: polling interval, cooldown, and scaling decisions
- KEDA versioning and compatibility with Kubernetes versions
- Installing KEDA with Helm on a production cluster
02ScaledObject and ScaledJob
9 topics
ScaledObject and ScaledJob
9 topics
- ScaledObject spec: scaleTargetRef, triggers, and replica bounds
- minReplicaCount and maxReplicaCount configuration
- Configuring pollingInterval and cooldownPeriod
- ScaledObject for Deployments, StatefulSets, and custom resources
- ScaledJob spec: jobTargetRef, triggers, and parallelism
- Scaling Kubernetes Jobs based on queue depth
- jobTargetRef vs scaleTargetRef: choosing the right resource
- Pausing and resuming scaling with annotations
- Advanced scaling modifiers: threshold, activationThreshold, scalingModifiers
TriggerAuthentication and Security
Topics included
5 more modules available
Enter your details to unlock the complete syllabus
Enrol in This Course
All prices inclusive of 18% GST. Same curriculum & certification across all formats. Updated Aug 2026.
Online Live
Live instructor-led sessions from anywhere, with recordings for catch-up.
GST ₹2,288 included
EMI from ₹2,500/mo
or
What You Get After Completion
Every graduate receives a verified certificate, a portfolio of real projects, and dedicated career support.
Verified Certificate
Digitally signed with a permanent shareable link — not just for attendance.
LinkedIn-importable·Permanent URL·PDF download
Project Portfolio
Real, deployable projects reviewed by your instructor — ready for interviews.
Instructor-reviewed·GitHub-hosted·Interview-ready
Career Support
Résumé review, mock interviews, LinkedIn guidance, and employer introductions.
1-on-1 coaching·Mock interviews·Employer connect
Meet Your Instructor
Every KEDA - Kubernetes Event-Driven Autoscaling batch is led by a practitioner who teaches from production experience, not textbooks.
Industry Expert
Senior Technology Professional
Senior professionals with substantial hands-on delivery experience at top companies, bringing real-world projects, industry insights, and best practices.
How We Teach
- Concepts start with a real problem so theory lands in context
- Projects reviewed the way a senior colleague reviews pull requests
- Every topic includes the kind of questions you'll face in interviews
Hire KEDA Kubernetes Event Driven Autoscaling Talent from Tutorsbot
Companies hiring KEDA - Kubernetes Event-Driven Autoscaling talent from Tutorsbot receive pre-assessed profiles backed by project work, instructor review, and interview-ready candidates who can explain what they built and why.
Why hire from us
Project repositories with documented technical decisions
Assessment outcomes backed by instructor context
Candidate readiness shaped by interview-style practice
Project-based portfolios available
Frequently Asked Questions
Everything you need to know about KEDA - Kubernetes Event-Driven Autoscaling, answered by our training experts
1Who should take KEDA - Kubernetes Event-Driven Autoscaling?
2Does KEDA - Kubernetes Event-Driven Autoscaling include a certificate?
3Is placement support included with KEDA - Kubernetes Event-Driven Autoscaling?
4How long does KEDA - Kubernetes Event-Driven Autoscaling take to complete?
5What is the mode of delivery for KEDA - Kubernetes Event-Driven Autoscaling?
6Can I get a free demo class for KEDA - Kubernetes Event-Driven Autoscaling?
7What kind of projects will I work on in KEDA - Kubernetes Event-Driven Autoscaling?
8What if I miss a class?
9Is KEDA - Kubernetes Event-Driven Autoscaling worth it for experienced professionals?
10What is the refund policy for KEDA - Kubernetes Event-Driven Autoscaling?
11Do you offer corporate or group training?
12How are the instructors selected at Tutorsbot?
13Will I get lifetime access to KEDA - Kubernetes Event-Driven Autoscaling materials?
14Can I switch between batch timings?
15What support do I get after completing the course?
Still have questions?
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