Industry experts
Learn from Zestlan delivery engineers who build enterprise software, AI applications, and cloud platforms on active client programs — not trainers detached from production work.
Zestlan Academy
Build industry-ready technology skills
Master artificial intelligence, software engineering, cloud computing, cyber security, mobile development, and modern product engineering through real-world learning — led by Zestlan delivery engineers on production-grade stacks.
Industry expert mentorsProduction-level projectsPortfolio & internship pathwaysAI-assisted learning
Why learn from Zestlan
Engineering education from a team that ships for clients.
Industry experts, real projects, modern curriculum, and career support — without the generic training-institute experience.
Real client projects
Curriculum reflects the kinds of systems we ship for organizations — architecture decisions, trade-offs, and delivery standards from live engineering work.
Hands-on labs
Every session connects to exercises and builds in your repository — Git workflows, environments, and tooling used on professional delivery teams.
Modern curriculum
Tracks in AI, cloud, DevOps, mobile, security, and product engineering — updated as stacks evolve, not frozen syllabus templates from years ago.
Portfolio development
Finish with deployable projects, documented repositories, and case-study-ready artifacts that show how you engineer — what hiring teams evaluate first.
Career guidance
Honest advice on role fit, skill gaps, and market expectations from engineers who understand technical hiring — without inflated promises.
Interview preparation
Technical and behavioral interview practice, portfolio walkthroughs, and feedback on how you present your projects to employers.
Corporate exposure
Understand how product engineering teams operate on client programs — code review culture, release discipline, and communication with stakeholders.
Internship opportunities
Project-based internship track with engineering feedback on delivery-style work — structured experience, not a guaranteed placement program.
Placement assistance
Job-search strategy, application review, and referral guidance where appropriate — we support your search but do not guarantee hiring outcomes.
Continuous mentorship
Weekly checkpoints, pull-request review, and access to mentors throughout the cohort — structured feedback until your projects meet production standards.
Learning journey
From fundamentals to career-ready.
Every cohort follows the same engineering path — structured like how we deliver client software.
- 01
Learn fundamentals
Core concepts, tooling, and architecture patterns from engineers on active delivery programs.
- 02
Hands-on practice
Guided labs and exercises in your repository — the same Git and CI workflows used on client work.
- 03
Build real projects
Ship features scoped like production work — not slide-only assignments or throwaway demos.
- 04
Code reviews
Pull-request feedback, design review, and iteration from mentors — structured like a software team.
- 05
Portfolio development
Document repositories, deployment steps, and case studies that demonstrate how you build.
- 06
Internship
Project-based internship track with engineering feedback — experience that shows how you ship.
- 07
Interview preparation
Technical and behavioral practice, portfolio walkthroughs, and employer-ready presentation.
- 08
Career support
Job-search strategy and ongoing guidance — honest support without guaranteed placement.
Programs
Cloud & DevOps Academy
Cloud platforms and release engineering — AWS, Azure, containers, Kubernetes, Terraform, Jenkins, GitHub Actions, and CI/CD pipelines. ₹50,000 · 3 months per program.
Showing 8 programs in Cloud & DevOps Academy.
AWS
Amazon Web Services for production workloads — compute, storage, networking, IAM, and deployment patterns used on enterprise cloud programs.
50,0003 monthsIntermediate
Program details & curriculum
- Learning mode
- Live online cohort with mentor review
- Projects included
- Yes — multiple portfolio projects with code review
- Technologies covered
- AWS EC2
- S3
- VPC
- RDS
- Lambda
- IAM
- CloudWatch
- Certificate
- Completion certificate — outcomes measured by project work
- Career opportunities
- Cloud engineer, AWS architect, DevOps engineer
- Internship availability
- Internship track available — placement not guaranteed
What you'll learn
- AWS core services — EC2, S3, VPC, RDS, and Lambda fundamentals.
- Identity and access management — roles, policies, and least privilege.
- Load balancing, auto scaling, and high-availability architectures.
- Monitoring and logging with CloudWatch and operational runbooks.
- Cost controls, tagging, and resource organization best practices.
- Hands-on labs deploying an application on AWS infrastructure.
Azure
Microsoft Azure cloud engineering — resource groups, App Service, Azure DevOps integration, and enterprise deployment workflows.
50,0003 monthsIntermediate
Program details & curriculum
- Learning mode
- Live online cohort with mentor review
- Projects included
- Yes — multiple portfolio projects with code review
- Technologies covered
- Azure App Service
- Azure Storage
- VNets
- Azure Monitor
- ARM templates
- Certificate
- Completion certificate — outcomes measured by project work
- Career opportunities
- Cloud engineer, Azure administrator, platform engineer
- Internship availability
- Internship track available — placement not guaranteed
What you'll learn
- Azure portal, resource groups, and subscription management.
- Compute options — App Service, containers, and virtual machines.
- Azure Storage, SQL, and managed database services.
- Networking — VNets, NSGs, and private connectivity patterns.
- Azure Monitor, alerts, and operational visibility.
- Deploy and manage a production-ready Azure workload.
Docker
Containerize applications with Docker — images, Dockerfiles, registries, and compose workflows for consistent environments.
50,0003 monthsIntermediate
Program details & curriculum
- Learning mode
- Live online cohort with mentor review
- Projects included
- Yes — multiple portfolio projects with code review
- Technologies covered
- Docker
- Dockerfile
- Docker Compose
- Registries
- Multi-stage builds
- Certificate
- Completion certificate — outcomes measured by project work
- Career opportunities
- DevOps engineer, platform engineer, cloud engineer
- Internship availability
- Internship track available — placement not guaranteed
What you'll learn
- Container concepts and Docker architecture.
- Write efficient Dockerfiles and multi-stage builds.
- Docker Compose for local multi-service development.
- Image tagging, registries, and vulnerability scanning basics.
- Networking, volumes, and environment configuration.
- Containerize and run a full-stack application locally and in CI.
Kubernetes
Orchestrate containers at scale — pods, services, deployments, and cluster operations for production Kubernetes environments.
50,0003 monthsAdvanced
Program details & curriculum
- Learning mode
- Live online cohort with mentor review
- Projects included
- Yes — multiple portfolio projects with code review
- Technologies covered
- Kubernetes
- Helm
- Ingress
- Deployments
- ConfigMaps
- kubectl
- Certificate
- Completion certificate — outcomes measured by project work
- Career opportunities
- Kubernetes engineer, platform engineer, SRE
- Internship availability
- Internship track available — placement not guaranteed
What you'll learn
- Kubernetes architecture — control plane, nodes, and workloads.
- Deployments, Services, ConfigMaps, and Secrets.
- Ingress, networking, and service discovery patterns.
- Helm charts and package management basics.
- Observability — logs, metrics, and health checks in clusters.
- Deploy and operate an application on a Kubernetes cluster.
Terraform
Infrastructure as Code with Terraform — declarative provisioning, modules, state management, and multi-environment workflows.
50,0003 monthsIntermediate
Program details & curriculum
- Learning mode
- Live online cohort with mentor review
- Projects included
- Yes — multiple portfolio projects with code review
- Technologies covered
- Terraform
- HCL
- AWS/Azure providers
- Modules
- Remote state
- Certificate
- Completion certificate — outcomes measured by project work
- Career opportunities
- Infrastructure engineer, cloud architect, DevOps engineer
- Internship availability
- Internship track available — placement not guaranteed
What you'll learn
- HCL syntax, providers, resources, and data sources.
- Plan, apply, and destroy workflows with remote state.
- Modules, variables, and outputs for reusable infrastructure.
- Multi-environment patterns — dev, staging, and production.
- Collaboration, locking, and CI integration for IaC.
- Provision cloud infrastructure for a sample application stack.
Jenkins
Build and automate delivery pipelines with Jenkins — jobs, plugins, agents, and pipeline-as-code for enterprise CI/CD.
50,0003 monthsIntermediate
Program details & curriculum
- Learning mode
- Live online cohort with mentor review
- Projects included
- Yes — multiple portfolio projects with code review
- Technologies covered
- Jenkins
- Jenkinsfile
- CI pipelines
- Plugins
- Git integration
- Certificate
- Completion certificate — outcomes measured by project work
- Career opportunities
- DevOps engineer, release engineer, build engineer
- Internship availability
- Internship track available — placement not guaranteed
What you'll learn
- Jenkins architecture — controllers, agents, and executors.
- Freestyle and pipeline jobs with Jenkinsfile syntax.
- Integrate Git, testing, and artifact publishing steps.
- Credentials, secrets, and secure pipeline configuration.
- Parallel stages, notifications, and failure handling.
- End-to-end pipeline from commit to deployable artifact.
GitHub Actions
Automate workflows in GitHub — actions, reusable workflows, matrix builds, and deployment gates aligned to modern product teams.
50,0003 monthsIntermediate
Program details & curriculum
- Learning mode
- Live online cohort with mentor review
- Projects included
- Yes — multiple portfolio projects with code review
- Technologies covered
- GitHub Actions
- YAML workflows
- CI/CD
- Secrets
- Matrix builds
- Certificate
- Completion certificate — outcomes measured by project work
- Career opportunities
- DevOps engineer, platform engineer, software engineer
- Internship availability
- Internship track available — placement not guaranteed
What you'll learn
- Workflow syntax — triggers, jobs, steps, and runners.
- Build, test, and lint automation on pull requests.
- Secrets, environments, and approval gates for production.
- Reusable workflows and composite actions.
- Container-based jobs and caching strategies.
- CI workflow integrated with a real repository and deploy step.
CI/CD
Continuous integration and delivery fundamentals — pipeline design, quality gates, release strategy, and DevOps practices across tools.
50,0003 monthsIntermediate
Program details & curriculum
- Learning mode
- Live online cohort with mentor review
- Projects included
- Yes — multiple portfolio projects with code review
- Technologies covered
- CI/CD
- Git
- Automated testing
- Deployment strategies
- Artifacts
- Certificate
- Completion certificate — outcomes measured by project work
- Career opportunities
- DevOps engineer, release engineer, software engineer
- Internship availability
- Internship track available — placement not guaranteed
What you'll learn
- CI/CD principles — build automation, test gates, and deployment frequency.
- Branching strategies and trunk-based development patterns.
- Automated testing layers in the pipeline — unit, integration, and smoke.
- Artifact management, versioning, and rollback procedures.
- Blue-green, canary, and progressive delivery concepts.
- Design and implement a CI/CD pipeline for a product codebase.
Real projects
What you will build — not just what you will study.
Portfolio-ready work across AI, web, mobile, cloud, and IoT — scoped like client delivery, with mentor review at every stage.
AI Chatbot
Retrieval-augmented assistant with guardrails, conversation memory, and a deployable API — evaluated for production behavior.
View related programsEnterprise Dashboard
Role-based analytics dashboard with authentication, data visualization, and responsive layouts for operations teams.
View related programsExpense Management System
Multi-user expense tracking with approvals, reporting, and a secure back-end — end-to-end product delivery.
View related programsCloud Deployment
Application deployed to AWS or Azure with infrastructure as code, CI/CD pipelines, and monitoring hooks.
View related programsREST APIs
Versioned REST services with authentication, validation, documentation, and integration tests — ready for client consumption.
View related programsFlutter Mobile App
Cross-platform mobile product with navigation, API integration, and store-ready release workflow.
View related programsiOS Application
Native Swift/SwiftUI app with CoreData or API-backed features, TestFlight distribution, and App Store checklist.
View related programsAndroid Application
Kotlin app with Jetpack Compose, Material Design, and Play Store deployment from a production-grade codebase.
View related programsIoT Monitoring System
Sensor data collection, edge processing, and cloud dashboard — MQTT/HTTP pipelines with live device telemetry.
View related programsMachine Learning Models
Trained models on real datasets with evaluation metrics, experiment tracking, and inference deployment steps.
View related programsReal-Time Media Delivery Modules
Ingest, playback UI, and back-end services for real-time media — engineered as modular platform components for production workloads.
View related programsBusiness Automation Systems
Workflow automation with integrations, scheduled jobs, and AI-assisted task routing — built for operational efficiency.
View related programsCareer paths
Roles our programs prepare you for.
Outcomes depend on your portfolio, interview performance, and market conditions — we provide mentorship and preparation, not guaranteed placement.
Python Developer
Automation, back-end services, and scripting — foundation for data and AI engineering paths.
Programs · Python Programming
Explore programsAI Engineer
LLM applications, RAG pipelines, and intelligent features deployed with evaluation and guardrails.
Programs · Artificial Intelligence · Generative AI · AI Agents
Explore programsML Engineer
Model training, validation, and production ML systems on real datasets with monitoring hooks.
Programs · Machine Learning · Deep Learning
Explore programsData Scientist
Statistical modeling, feature engineering, and end-to-end data science projects for business problems.
Programs · Data Science · Data Analytics
Explore programsSoftware Engineer
Product engineering across languages and stacks — architecture, code review, and release discipline.
Programs · Java · React · Node.js · Full Stack
Explore programsBackend Developer
APIs, databases, and server-side systems — Java, Node.js, PHP, and Laravel tracks.
Programs · Java · Node.js · PHP · Laravel
Explore programsFrontend Developer
Modern web interfaces with React, Angular, and UI development — accessible, performant products.
Programs · React · Angular · UI Development
Explore programsFull Stack Developer
End-to-end web delivery — front-end, back-end, data layers, and deployment workflows.
Programs · Full Stack Development
Explore programsFlutter Developer
Cross-platform mobile products from a single codebase — store release and API integration.
Programs · Flutter
Explore programsiOS Engineer
Native Apple platform development — Swift, SwiftUI, and App Store release engineering.
Programs · iOS Development
Explore programsAndroid Engineer
Native Android with Kotlin and Jetpack Compose — Play Store deployment and Material Design.
Programs · Android Development
Explore programsCloud Engineer
Design, deploy, and operate workloads on AWS and Azure with infrastructure as code.
Programs · AWS · Azure · Terraform
Explore programsDevOps Engineer
CI/CD, containers, Kubernetes, and release automation — bridge development and operations.
Programs · Docker · Kubernetes · Jenkins · GitHub Actions · CI/CD
Explore programsCyber Security Engineer
Application, network, and cloud security — ethical hacking, DevSecOps, and penetration testing.
Programs · Ethical Hacking · Web Security · DevSecOps
Explore programsUI/UX Designer
Research-driven product design — interfaces, journeys, usability, and portfolio case studies.
Programs · UI/UX Design · UX Design
Explore programsFormats
Three ways to learn — one engineering standard.
Individual cohorts
3-month live programs — real projects, production-level development, industry expert mentors, and portfolio-ready work at ₹50,000 per track.
Internship & career mentorship
Project-based internship track with engineering feedback, plus portfolio review, interview preparation, and honest job-search guidance.
Corporate & institutional programs
Custom learning for engineering teams, colleges, and universities — tailored syllabus, AI-powered learning tools, and production-aligned instruction.
Corporate training
Training for teams, campuses, and enterprises.
Upskilling, workshops, and AI adoption programs led by Zestlan delivery engineers — scoped to your organization, calendar, and engineering goals.
Corporate upskilling
Team cohorts in mobile, web, AI, cloud, DevOps, or security — syllabus aligned to your stack, toolchain, and delivery standards.
Request proposalCampus training
Industry-aligned modules for colleges and universities — semester programs, capstone mentorship, and guest instruction from working engineers.
Discuss campus partnershipTechnology workshops
Focused deep-dives on a single stack or practice — React, Kubernetes, generative AI, secure coding, or mobile release engineering.
Request proposalAI adoption programs
Practical LLM, RAG, and agent workflows for product teams — evaluation, guardrails, and integration into existing software delivery.
Request proposalLeadership technology programs
Executive and engineering-lead sessions on architecture decisions, build-vs-buy, AI strategy, and managing modern product engineering teams.
Request proposalCustom enterprise training
Fully tailored programs for your organization — custom syllabus, flexible scheduling, and instruction from the same team that runs client delivery.
Request proposal
Enterprise upskilling, campus partnerships, and custom programs — scoped with the same transparency as our client engagements.Student success stories
Outcomes learners ship — and how they use them.
Anonymized cohort outcomes focused on portfolio work and interview readiness. Hiring results vary by individual performance, market conditions, and preparation — we do not guarantee placement.
Portfolio-ready SaaS build
Completed a multi-user expense management system with authentication, REST APIs, and a React front-end — deployed with documented CI/CD and used as the primary project in technical interviews.
- End-to-end repository with README and deployment steps
- Pull-request history showing mentor feedback iterations
- Offered a junior developer role after portfolio review — outcome not typical for every cohort
Production-style AI assistant
Built a retrieval-augmented chatbot with evaluation harness, guardrails, and a deployable API — presented as a case study demonstrating LLM integration and responsible AI patterns.
- RAG pipeline with documented evaluation criteria
- API deployed to cloud with environment configuration
- Transitioned into an AI engineering internship — market and interview performance varied
Infrastructure-as-code deployment
Designed AWS/Azure workload deployment with Terraform, container orchestration, and monitoring hooks — portfolio artifact demonstrating operations-ready engineering.
- Terraform modules with staged environments
- CI/CD pipeline from commit to deploy
- Secured a cloud engineer interview loop — hiring depended on interview performance
Cross-platform product release
Shipped a Flutter application with API integration, navigation architecture, and store-ready release checklist — demonstrated mobile delivery discipline in portfolio walkthroughs.
- Feature-complete app with documented architecture
- TestFlight / internal distribution workflow
- Used project in mobile developer interviews — outcomes vary by market and preparation
Testimonials
What participants and partners emphasize.
Anonymized feedback — roles and program context only. We do not publish attributed testimonials or fabricated names.
The difference was code review. Mentors treated my repository like a client delivery — architecture feedback, test gaps, and release readiness — not just whether the tutorial ran.
I needed projects I could defend in interviews. The capstone was scoped like real work — trade-offs, deployment evidence, and a walkthrough script — not a certificate checklist.
Our team upskilling cohort matched our stack — Laravel, Docker, and CI patterns we actually use. The syllabus was adjusted before day one, with clear scope and milestones.
Guest modules and capstone mentorship connected our final-year students to production workflows — Git, PR review, and portfolio standards employers expect.
Industry mentors
Instructors from active delivery programs.
Cohort mentors are Zestlan engineers who build client software — enterprise platforms, AI applications, cloud infrastructure, and mobile products.
Full stack delivery engineer
React · Node.js · Laravel · APIs
Leads web and API programs for enterprise clients — mentors cohorts on architecture, authentication, and release-ready back-end and front-end delivery.
AI & ML engineer
LLMs · RAG · evaluation · agents
Builds production AI applications on client programs — guides learners through model integration, guardrails, and deployment patterns that survive real usage.
Cloud & platform engineer
AWS · Azure · Terraform · Kubernetes
Designs cloud infrastructure and CI/CD for regulated and high-scale workloads — teaches infrastructure as code, observability, and operational readiness.
Mobile product engineer
iOS · Android · Flutter · React Native
Ships native and cross-platform apps through App Store and Play release cycles — mentors on navigation architecture, API integration, and mobile QA discipline.
Security engineer
AppSec · cloud security · penetration testing
Runs security assessments and DevSecOps on client delivery — teaches threat modeling, secure coding, and remediation workflows aligned to industry standards.
Data & analytics engineer
Data pipelines · analytics · ML foundations
Delivers data platforms and analytics for product teams — mentors on SQL, visualization, and the engineering path from data analysis to ML-ready workflows.
Training methodology
How cohorts run — delivery discipline for learners.
The same engineering standards we apply on client programs — scoped syllabus, repository workflows, milestone delivery, and structured review.
01
Scope-aligned syllabus
Each track opens with learning objectives tied to portfolio outcomes — mapped to the stacks and delivery standards used on Zestlan client programs.
02
Live instruction + async builds
Live sessions for concepts and design review; async time for implementation in your repository — the same rhythm as professional engineering teams.
03
Repository-first workflow
Git branching, pull requests, and documented environments from week one — learners work the way delivery teams work, not in isolated sandbox exercises.
04
Milestone-based delivery
Projects decomposed into sprint-style milestones with definition-of-done criteria — feature completeness, tests, and deployment evidence at each checkpoint.
05
Structured code review
Mentors review architecture, security, and maintainability — feedback is actionable and iterative, mirroring client program review culture.
06
Portfolio & career integration
Capstone documentation, demo scripts, and interview preparation — honest career guidance without guaranteed placement claims.
Technology stack
Stacks you will work with across programs.
Technologies covered vary by academy and track — each program card lists the specific tools, frameworks, and platforms for that cohort.
Languages & runtimes
PythonJavaTypeScriptJavaScriptPHPSwiftKotlinDartC / C++
Front-end & product UI
ReactAngularHTML / CSSUI / UX designResponsive layouts
Back-end & APIs
Node.jsLaravelREST APIsAuthenticationDatabase design
AI & data
Machine learningDeep learningGenerative AILLMs & RAGAI agentsComputer visionData science
Cloud & DevOps
AWSAzureDockerKubernetesTerraformJenkinsGitHub ActionsCI/CD
Mobile & embedded
iOSAndroidFlutterReact NativeArduinoESP32Raspberry PiSTM32
Security & quality
Ethical hackingNetwork securityWeb securityCloud securityDevSecOpsPenetration testing
Explore program-specific technologies in Programs · Zestlan engineering stack
Frequently asked questions
Straight answers before you enroll.
Pricing, delivery format, corporate and campus programs, certificates, and honest expectations about career outcomes.
Enroll
Enroll now — reserve your cohort seat.
Submit your details for any course — ₹50,000 · 3 months. Corporate and college programs scoped separately. Our Academy team follows up within one business day.
Not sure which track fits? Talk to an Advisor · Book Free Career Guidance · Download Course Brochure
Prefer to talk first? Contact us · Enterprise services