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Training / 2026

Moving Beyond Slideware.

We don't sell generic certifications. We build elite engineering teams. Our training is born from our global consulting labs, taught on live systems, and focused on the "Day 2" operational realities that most courses ignore.

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Market Research

The 2026 Skills Gap

Why our training is different.

The global cloud market in 2026 has evolved. Traditional "lift-and-shift" is dead. Today's job market expects Cloud Engineers to be architects of automation.

  • Bangalore Advantage

    We bridge the gap between academic theory and the high-scale engineering demands of Bangalore's "Silicon Valley" and global tech hubs.

  • Job Market Realities

    Lead Cloud Engineer roles (₹25L – ₹45L+) now require mastery of Platform Engineering, AIOps, and Cross-Cloud Governance.

  • Day 2 Focus

    Labs target operational realities — drift, incident rituals, cost sovereignty — that certification curricula rarely touch.

Curriculum

The Training Tracks

Track 01

The Cloud Architecture Studio

Designed for: Senior Engineers & Aspiring Architects

The Focus · Moving beyond single-provider patterns to Sovereign Multi-Cloud Architecture.

The Modules

  • Architecture First Principles

    Designing for failure, latency, and cost-sovereignty.

  • Advanced Networking

    Service Mesh (Istio/Linkerd) and Identity-based segmentation.

  • FinOps & Cloud Economics

    Real-time cost modeling as a design constraint.

Research Lab

Deep dive into "Cloud-Exit" strategies and regional data residency compliance (GDPR/DPDP).

Track 02

DevOps Delivery & Platform Lab

Designed for: SREs & DevOps Teams

The Focus · Building the Internal Developer Platform (IDP).

The Modules

  • The Golden Path

    Abstracting K8s complexity for developer self-service.

  • Advanced GitOps

    Progressive delivery (Flagger/ArgoCD) with automated rollbacks.

  • Policy-as-Code

    Implementing OPA/Kyverno for automated guardrails.

Research Lab

Transitioning from "Infrastructure as Code" to "Infrastructure as Software" using Pulumi and Crossplane.

Track 03

SRE & Cognitive Ops

Designed for: Platform Teams & Operations Managers

The Focus · Resilience through AIOps and Predictive Observability.

The Modules

  • The SLO Framework

    Translating metrics into business error budgets.

  • Incident Rituals

    AI-assisted root cause analysis and blameless post-mortems.

  • Chaos-Informed Testing

    Proactively breaking systems to prove reliability.

Research Lab

Implementing Agentic AI for autonomous remediation of common infrastructure incidents.

Course Reference

AWS, Azure, and GCP learning paths

Use this as a reference map for cohort planning. We adapt these course areas into hands-on labs, architecture reviews, and operational exercises based on your team's stack and maturity.

AWS

11 courses

Certification-aligned AWS course references from foundational through specialty and professional paths.

  • AWS Certified Cloud Practitioner

    Foundational

    Cloud concepts and entry-level AWS fluency.

  • AWS Certified Solutions Architect - Associate

    Associate

    Designing reliable cloud architectures.

  • AWS Certified Solutions Architect - Professional

    Professional

    Advanced architecture and multi-service design decisions.

  • AWS Certified DevOps Engineer - Professional

    Professional

    Delivery automation, operations, and DevOps practices.

  • AWS Certified SysOps Administrator - Associate

    Associate

    Operational administration and systems management.

  • AWS Certified Developer - Associate

    Associate

    Application development and service integration.

  • AWS Certified Big Data - Specialty

    Specialty

    Data workloads, analytics patterns, and managed data services.

  • AWS Certified Advanced Networking - Specialty

    Specialty

    Advanced networking, connectivity, and traffic design.

  • AWS Certified Security - Specialty

    Specialty

    Security controls, identity, governance, and protection patterns.

  • AWS Certified Machine Learning - Specialty

    Specialty

    Machine learning workflows and model-oriented cloud services.

  • AWS Certified Alexa Skill Builder - Specialty

    Specialty

    Voice-assistant skill design and implementation.

Azure

15 courses

Azure course references grouped by fundamentals, associate, expert, and specialty-style progression.

  • Azure AI Fundamentals

    Fundamentals

    Introductory AI concepts and Azure AI service awareness.

  • Azure Data Fundamentals

    Fundamentals

    Core data concepts, analytics basics, and cloud data foundations.

  • Azure Fundamentals

    Fundamentals

    Cloud models, Azure services, and platform basics.

  • Azure Administrator Associate

    Associate

    Managing Azure environments, resources, and operational controls.

  • Azure AI Engineer Associate

    Associate

    Building, managing, and deploying AI solutions on Azure.

  • Azure Data Engineer Associate

    Associate

    Data pipelines, storage patterns, and analytical datasets.

  • Azure Data Scientist Associate

    Associate

    Data science workflows, ML tooling, and analytical experimentation.

  • Azure Database Administrator Associate

    Associate

    Operational database administration for Azure data services.

  • Azure Developer Associate

    Associate

    Cloud application development, compute, and storage integration.

  • Azure Enterprise Data Analyst Associate

    Associate

    Designing and deploying analytics solutions.

  • Azure Network Engineer Associate

    Associate

    Planning, implementing, and maintaining Azure network solutions.

  • Azure Security Engineer Associate

    Associate

    Cloud security management, controls, and secure operations.

  • Azure Stack Hub Operator Associate

    Associate

    Operating Azure Stack Hub across platform and infrastructure services.

  • Azure DevOps Engineer Expert

    Expert

    DevOps delivery across infrastructure, administration, and development.

  • Azure Solutions Architect Expert

    Expert

    Designing cloud and hybrid solutions with advanced operational depth.

GCP

11 courses

GCP course references organized by foundational, associate, and professional learning paths.

  • Cloud Digital Leader

    Foundational

    Cloud concepts, GCP services, business use cases, and platform vocabulary.

  • Cloud Engineer

    Associate

    Deploying and maintaining GCP projects and core cloud resources.

  • Cloud Architect

    Professional

    Designing and managing production-grade cloud architecture.

  • Cloud Database Engineer

    Professional

    Database planning, deployment, operations, and optimization.

  • Cloud Developer

    Professional

    Building and deploying applications on GCP.

  • Data Engineer

    Professional

    Data processing, analytics pipelines, and managed data platforms.

  • Cloud DevOps Engineer

    Professional

    Delivery automation, reliability, and operational improvement.

  • Cloud Security Engineer

    Professional

    Security architecture, controls, and cloud protection practices.

  • Cloud Network Engineer

    Professional

    Network architecture, connectivity, and traffic management.

  • Workspace Administrator

    Professional

    Workspace operations, administration, and user management.

  • Machine Learning Engineer

    Professional

    ML systems, model workflows, and production AI delivery.

Our Ethics

The "Founder-Led" Commitment

As a startup, our reputation is our currency.

  • Vendor Neutrality

    We teach the ecosystem (OpenTofu, Kubernetes, Prometheus), not just the vendor.

  • No Dead PowerPoints

    80% of our track time is spent in terminals and IDEs, not slides.

  • Live Backlog Integration

    We encourage teams to bring their actual architectural bottlenecks into the workshop.

Enrollment

Custom Labs & Private Cohorts

Are you a CTO scaling a team? We don't do "one-size-fits-all." We build custom curriculum based on your specific stack (AWS / GCP / Azure) and your team's maturity.

Schedule a Curriculum Deep-Dive

// private_cohort.config

stack: ["aws", "k8s", "opentofu"]

format: "live_backlog"

slides: false

$ git commit -m "upgrade your engineering culture"

$ git commit -m "upgrade your engineering culture"

labs@calcicloud.com