Enterprise AWS Cloud Architecture & AIOps Bootcamp
A premium, project-driven bootcamp for professionals who want to design, automate, secure, monitor, optimise and intelligently operate production AWS environments. Every day pairs enterprise architecture with a hands-on Python or AI lab, so you graduate operating AWS the way enterprise cloud and AIOps teams do. Mentored by Shubh Dadhich.
Why this bootcamp
Build, automate and operate production-grade AWS infrastructure using AI.
🏗 100% hands-on
Real enterprise use cases and labs every single day, not slideware.
🧠 AI and cloud integration
AIOps woven throughout: log analysis, incident summaries and cost insights.
🔧 Infrastructure as Code
Terraform modules, remote state and drift detection as standard practice.
💻 Python automation
Build real boto3 tooling for audits, compliance and remediation.
🎭 Architecture-first
Design sessions and production best practices behind every build.
🎯 Career-oriented
Interview-focused discussions, career guidance and a capstone to showcase.
Who should join
Built for professionals and learners ready to operate production cloud at enterprise scale.
☁ Cloud & AWS Engineers
Cloud, AWS and Infrastructure Engineers ready to design and automate enterprise-scale AWS environments.
🔧 DevOps, SRE & Platform
DevOps Engineers, Site Reliability Engineers and Platform Engineers moving into intelligent cloud operations.
🏗 Architects & Tech Leads
Solution Architects and Technical Leads building production-grade, well-architected cloud solutions.
👨💻 Admins & Software Engineers
System Administrators and Software Engineers transitioning into cloud and automation roles.
💼 IT Professionals
IT professionals modernising their skills toward cloud, automation and AIOps.
🎓 Aspiring AWS Engineers
Students and career switchers aiming to become AWS Cloud Engineers with real project experience.
10 days, each a real enterprise build
Every day pairs architecture with a hands-on lab, cumulatively assembling the skills behind the capstone.
Day 1: AWS Environment Setup & IAM Security
A brand-new enterprise AWS account must be locked down before any workload lands: identity, billing guardrails and least-privilege access from hour one.
Day 2: Enterprise Networking & Security Architecture
The platform needs a secure, segmented network foundation: isolated tiers, controlled ingress and egress, and defense-in-depth at every layer.
Day 3: Compute Architecture & Intelligent Scaling
Traffic is unpredictable and the business needs compute that stays available and scales itself, with no late-night manual interventions.
Day 4: Serverless Automation
Routine operational toil is eating engineer time: compliance checks and reactions to events should run themselves, serverlessly.
Day 5: Infrastructure as Code
Click-ops has produced undocumented, drifting infrastructure. Everything must become versioned, reviewable, repeatable code.
Day 6: Monitoring & AI-Powered Incident Analysis
Incidents take too long to understand. The team needs observability plus AI that reads the logs and explains what happened, fast.
Technologies covered
A production toolkit combined into a single working build each day, not learned in isolation.
Learning outcomes
1. Design scalable, well-architected enterprise AWS environments.
2. Automate cloud infrastructure with Terraform and Python (boto3).
3. Build AI-assisted cloud operations with log analysis and incident summaries.
4. Secure AWS accounts with IAM, GuardDuty, Security Hub and automated response.
5. Implement monitoring, high availability and automated disaster recovery.
6. Optimise cost and build end-to-end event-driven AIOps pipelines.
Learn from Shubh Dadhich
Shubh Dadhich
Shubh Dadhich works with real clusters, CI/CD pipelines and GitOps every day. He teaches the way he works, hands-on and production-focused.
He turns complex cloud and Kubernetes concepts into skills you can apply immediately, from your first deployment to debugging a failing pod with AI-assisted tooling.
One fee. A production cloud skill set.
- 10 days across 10 hands-on labs
- One enterprise capstone to showcase
- Terraform and Infrastructure as Code
- Python and AI-assisted operations
- Mentorship from Shubh Dadhich and community access
Bootcamp fee ₹9,000 + 18% GST (₹10,620 all-in). See how this compares →
Enterprise AWS Cloud Architecture & AIOps Bootcamp, done hands-on
The Enterprise AWS Cloud Architecture and AIOps Bootcamp is a live, mentor-led program with 10 hands-on labs across 10 days. It is practice-first, so you build real, production-style cloud systems rather than only watching lectures. Build, automate and operate production-grade AWS infrastructure using AI.
What the 10 days cover
A premium, project-driven bootcamp for professionals who want to design, automate, secure, monitor, optimise and intelligently operate production AWS environments. Every day pairs enterprise architecture with a hands-on Python or AI lab, so you graduate operating AWS the way enterprise cloud and AIOps teams do. Mentored by Shubh Dadhich.
Fee and format
The bootcamp fee is ₹9,000 plus 18% GST, which is ₹10,620 all-in. It runs as a live cohort across 10 days of about two hours each, roughly 30 to 35 hours in total, delivered in English with weekday or weekend timings on request.
Outcome and earning
You finish with 10 labs and a capstone to prove your skills. Beyond the classroom you gain lifetime community access, and members who deliver under the CareerByteCode brand earn a 55% to 80% revenue share via Razorpay.
Common questions
What is the Enterprise AWS Cloud Architecture and AIOps Bootcamp?
How much is the bootcamp fee?
What is the format and language?
Do I need prior experience?
What will I be able to do after this program?
Can I earn after this program?
Finish with the CareerByteCode Certified AWS AIOps Architect credential
Complete the program and earn a verifiable certificate you can add to LinkedIn and your resume. It is built to be recognised fast by recruiters and to give your job search a concrete proof point.
Certificate of Completion
This certifies that
Your Namehas successfully completed the program
AWS Cloud Architecture and AIOps
CareerByteCode Certified AWS AIOps ArchitectDirector, CareerByteCode
Credential ID
CBC-AWSAIOPS-2026-0001
Sample certificate. Every graduate receives one with their own name and a unique verifiable ID. Each certificate is valid for 6 months from its issue date.
-
Verifiable in seconds
Each certificate carries a unique ID and a public verify link, so a recruiter can confirm it is real without contacting you.
-
Add it to your LinkedIn
It drops straight into your Licenses and Certifications section using the issuer name, issue date, and credential ID.
-
Proof you can do the work
It is awarded for completing real, project-based work, not for watching videos, so it signals applied skill to hiring teams.
-
Speaks the recruiter's language
A clear, role-titled credential that matches the terms hiring teams and ATS filters actually search for, helping you move faster through screening.
Every certificate is verifiable. Check any credential ID at careerbytecode.in/verify.
From learner to production cloud engineer
Learn the method, build live, prove it with a capstone, then freelance and consult with mentors behind you.
Master 10 builds
Work through the full roadmap, each day a real enterprise scenario paired with a hands-on lab.
Build a portfolio
Finish with 10 labs and an end-to-end capstone that anchors interviews.
Earn from it
Freelance and consult, or deliver under the CareerByteCode brand with a 55% to 80% revenue share.
Grow through our community
Join a global community of engineers and mentors, share your builds, and keep learning after the cohort ends.
Grow your career
Move into cloud, platform and AIOps roles, or deliver under the CareerByteCode brand with a 55% to 80% revenue share.
Ready to build production cloud?
Join the next cohort, build in every session, and finish with a capstone you can put on your resume the day it ends.
What graduates say
Loading reviews...
Write a review
Reviews are open to graduates of this course. Verify yourself with the email you enrolled with, or your credential ID. Every review is checked before it appears.