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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.

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.

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.

Ready to enroll?

Enroll in a cohort, talk to an advisor, book free career guidance, or request the course brochure — our Academy team responds within one business day.

Learning journey

From fundamentals to career-ready.

Every cohort follows the same engineering path — structured like how we deliver client software.

  1. 01

    Learn fundamentals

    Core concepts, tooling, and architecture patterns from engineers on active delivery programs.

  2. 02

    Hands-on practice

    Guided labs and exercises in your repository — the same Git and CI workflows used on client work.

  3. 03

    Build real projects

    Ship features scoped like production work — not slide-only assignments or throwaway demos.

  4. 04

    Code reviews

    Pull-request feedback, design review, and iteration from mentors — structured like a software team.

  5. 05

    Portfolio development

    Document repositories, deployment steps, and case studies that demonstrate how you build.

  6. 06

    Internship

    Project-based internship track with engineering feedback — experience that shows how you ship.

  7. 07

    Interview preparation

    Technical and behavioral practice, portfolio walkthroughs, and employer-ready presentation.

  8. 08

    Career support

    Job-search strategy and ongoing guidance — honest support without guaranteed placement.

Programs

Explore our academies.

43 programs across 9 academies — each ₹50,000 · 3 months of live, project-based work.

Showing all 43 programs across 9 academies.

Artificial Intelligence Academy

Machine learning through generative AI, agents, and computer vision — production-oriented tracks for intelligent products. Python foundations are covered in Software Engineering Academy.

Artificial Intelligence

Deep learning, NLP, and transformer models — build and deploy real-world AI applications.

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
  • TensorFlow
  • Keras
  • NLP
  • Transformers
  • Hugging Face
  • Python
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
AI engineer, ML engineer, NLP engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Python OOP refresher with NumPy, Pandas, and Seaborn.
  • Neural networks and your first deep learning model.
  • Deep learning with Keras and TensorFlow, including optimizers.
  • CNNs, RNNs, and NLP — tokenization, stemming, and TF-IDF.
  • Transformer-based models and BERT with the Hugging Face ecosystem.
  • Capstone: create and deploy a real-world AI application.
Enroll Now

Machine Learning

From Python basics to model evaluation — build, train, and deploy ML solutions for real problems.

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
  • Python
  • Scikit-learn
  • Pandas
  • NumPy
  • Model evaluation
  • Jupyter
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
ML engineer, data scientist, AI engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Python basics — data types, control structures, and functions.
  • NumPy, Pandas, and Matplotlib for data manipulation and visualization.
  • Core ML concepts — model building, training, and validation.
  • Unsupervised learning: K-Means, hierarchical clustering, and PCA.
  • Model evaluation with metrics, cross-validation, and hyperparameter tuning.
  • Portfolio ML projects and preparation for ML engineering roles.
Enroll Now

Data Science

Combine statistics, programming, and domain knowledge to solve complex data problems.

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
  • Python
  • Pandas
  • Statistics
  • Scikit-learn
  • Visualization
  • SQL
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Data scientist, analytics engineer, ML engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Python for data science — Pandas, NumPy, and visualization libraries.
  • Statistical inference, hypothesis testing, and probability.
  • Feature engineering and predictive modeling techniques.
  • Supervised and unsupervised learning for real datasets.
  • End-to-end data science projects from problem to deployment.
  • Portfolio building for data scientist and analyst roles.
Enroll Now

Deep Learning

Neural network architectures for vision, language, and structured data — training, tuning, and deploying deep models in production contexts.

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
  • PyTorch
  • TensorFlow
  • CNNs
  • RNNs
  • Transfer learning
  • GPU training
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Deep learning engineer, AI researcher, ML engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Neural network fundamentals — forward pass, backpropagation, and optimization.
  • CNNs for image classification, detection, and segmentation tasks.
  • RNNs, LSTMs, and sequence modeling for time-series and text.
  • Transfer learning and fine-tuning pre-trained architectures.
  • Training workflows — data loaders, GPU utilization, and experiment tracking.
  • Capstone: train and evaluate a deep learning model on a real dataset.
Enroll Now

Generative AI

LLMs, prompt engineering, RAG, and fine-tuning — build generative applications with evaluation and guardrails for production use.

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
  • LLMs
  • RAG
  • LangChain
  • Vector DBs
  • Fine-tuning
  • Guardrails
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Generative AI engineer, LLM application developer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Transformer architecture and how large language models work.
  • Prompt design, few-shot patterns, and structured outputs.
  • Retrieval-augmented generation (RAG) with vector stores.
  • Fine-tuning and adapter methods for domain-specific models.
  • Safety, guardrails, and evaluation for generative features.
  • Capstone: deploy a generative AI feature with monitoring hooks.
Enroll Now

AI Agents

Autonomous and tool-using AI agents — orchestration, memory, and multi-step workflows for software automation and copilot-style products.

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
  • LangGraph
  • Tool use
  • Agent orchestration
  • OpenAI APIs
  • Memory
  • Observability
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
AI agent developer, automation engineer, copilot engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Agent architectures — planning, tool use, and execution loops.
  • LangChain / LangGraph patterns for composable agent workflows.
  • Memory, state management, and context window strategies.
  • Connecting agents to APIs, databases, and internal tools.
  • Testing, observability, and failure handling for agent systems.
  • Capstone: build an agent that completes a multi-step engineering task.
Enroll Now

Computer Vision

Image and video understanding — classical CV, deep learning models, and deployment for detection, classification, and segmentation.

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
  • OpenCV
  • CNNs
  • Object detection
  • PyTorch
  • Image processing
  • Model export
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Computer vision engineer, ML engineer, AI product engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Image preprocessing, augmentation, and dataset preparation.
  • OpenCV fundamentals and classical computer vision techniques.
  • Object detection and classification with modern CNN architectures.
  • Transfer learning for custom vision datasets.
  • Model export, inference optimization, and edge deployment basics.
  • Capstone: vision model integrated into an application pipeline.
Enroll Now

Software Engineering Academy

Languages and frameworks for product engineering — Java, Python, PHP, Laravel, React, Angular, Node.js, and full-stack delivery.

Java

Learn enterprise-grade Java — OOP, Spring ecosystem, and back-end systems used across the industry.

50,0003 monthsBeginner to Intermediate
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • Java
  • Spring Boot
  • JPA
  • Hibernate
  • Maven
  • JUnit
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Java developer, back-end engineer, enterprise software engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Core Java — classes, inheritance, interfaces, and collections.
  • Exception handling, multithreading, and JVM fundamentals.
  • Build REST APIs with Spring Boot and Spring Data.
  • Database integration with JPA and Hibernate.
  • Unit testing, debugging, and clean code practices.
  • Prepare for Java developer roles in enterprise and product companies.
Enroll Now

Python Programming

Master Python from fundamentals to real-world scripting, automation, and application development.

50,0003 monthsBeginner
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • Python
  • OOP
  • APIs
  • Virtual environments
  • Scripting
  • CLI tools
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Python developer, automation engineer, back-end developer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Python syntax, data types, control flow, functions, and OOP.
  • File handling, modules, packages, and virtual environments.
  • Working with APIs, web scraping, and automation scripts.
  • Introduction to data structures and algorithmic problem solving.
  • Build CLI tools and small applications for your portfolio.
  • Foundation for data science, ML, and back-end development paths.
Enroll Now

PHP

Server-side PHP for web applications — syntax, OOP, database access, and patterns used in production CMS and API codebases.

50,0003 monthsBeginner to Intermediate
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • PHP
  • MySQL
  • PDO
  • REST APIs
  • Composer
  • Apache/Nginx
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
PHP developer, web back-end developer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • PHP fundamentals — syntax, types, control structures, and functions.
  • Object-oriented PHP — classes, traits, namespaces, and autoloading.
  • MySQL integration with prepared statements and PDO.
  • Session management, form handling, and secure input validation.
  • REST API endpoints and JSON responses for front-end clients.
  • Deploy PHP applications with version control and environment configuration.
Enroll Now

Laravel

Rapid PHP web development with Laravel — MVC, Eloquent ORM, and full-featured back-end apps.

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
  • Laravel
  • PHP
  • Eloquent
  • Blade
  • Queues
  • API resources
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Laravel developer, PHP back-end engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Laravel fundamentals — routing, controllers, and Blade templates.
  • Eloquent ORM and database migrations.
  • Authentication, authorization, and API resources.
  • Form validation, middleware, and request lifecycle.
  • Queues, events, and background job processing.
  • Build and deploy production Laravel applications.
Enroll Now

React

Build modern, interactive web UIs with React — components, hooks, and production-ready patterns.

50,0003 monthsBeginner to Intermediate
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • React
  • TypeScript
  • Hooks
  • React Router
  • Context API
  • REST APIs
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Front-end developer, React engineer, UI engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • JSX, components, props, state, and React hooks.
  • React Router for multi-page single-page applications.
  • Context API and state management fundamentals.
  • Fetching data, loading states, and error handling.
  • Performance optimization and component composition.
  • Portfolio projects ready for front-end developer interviews.
Enroll Now

Angular

Enterprise front-end development with Angular — TypeScript, components, services, and scalable application architecture.

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
  • Angular
  • TypeScript
  • RxJS
  • NgRx
  • Angular Router
  • HTTP client
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Angular developer, front-end engineer, enterprise UI developer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • TypeScript fundamentals for typed, maintainable front-end code.
  • Angular components, templates, directives, and dependency injection.
  • Routing, lazy loading, and modular feature architecture.
  • Reactive forms, validation, and HTTP client patterns.
  • State management and component communication at scale.
  • Build and deploy production Angular applications.
Enroll Now

Node.js

Server-side JavaScript with Node.js — APIs, databases, and scalable back-end architecture.

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
  • Node.js
  • Express
  • MongoDB
  • PostgreSQL
  • JWT
  • WebSockets
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Node.js developer, back-end engineer, API developer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Node.js runtime, npm, and JavaScript on the server.
  • Express.js for RESTful API design and middleware.
  • MongoDB and SQL database integration.
  • Authentication, JWT, and secure API patterns.
  • Real-time features with WebSockets.
  • Deploy Node.js applications to cloud platforms.
Enroll Now

Full Stack Development

End-to-end web development — front-end, back-end, databases, and deployment from scratch.

50,0003 monthsBeginner to Intermediate
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • HTML
  • CSS
  • JavaScript
  • PHP
  • MySQL
  • MongoDB
  • REST APIs
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Full-stack developer, web developer, product engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • HTML, CSS, and JavaScript for responsive front-end experiences.
  • Back-end development with PHP and RESTful API design.
  • MySQL and MongoDB for dynamic, scalable data handling.
  • Build and deploy fully functional web applications.
  • Debugging, problem-solving, and full-stack software development practices.
  • Prepare for product engineering roles with full-stack delivery experience.
Enroll Now

Mobile Engineering Academy

Native and cross-platform mobile products — iOS, Android, Flutter, and React Native with store release and enterprise-connected app patterns.

iOS Development

Build production iOS apps with Swift, SwiftUI, and Apple's latest frameworks — from first screen through TestFlight and App Store submission.

50,0003 monthsBeginner to Intermediate
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • Swift
  • SwiftUI
  • Xcode
  • UIKit
  • CoreData
  • TestFlight
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
iOS developer, mobile engineer, app engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Create portfolio apps that demonstrate Swift, SwiftUI, and Apple framework proficiency.
  • Master Xcode, UIKit, SwiftUI, ARKit, CoreML, and CoreData.
  • Learn by building — every lesson feeds into a real app project.
  • Wireframe, mockup, and prototype app ideas with professional design workflows.
  • App Store submission, TestFlight distribution, and release checklist workflows.
  • Build ML-powered apps using Apple's CoreML framework.
Enroll Now

Android Development

Learn Kotlin from the ground up and ship production Android apps with modern Jetpack Compose.

50,0003 monthsBeginner to Intermediate
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • Kotlin
  • Jetpack Compose
  • Android Studio
  • Material Design
  • Firebase
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Android developer, mobile engineer, Kotlin developer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Kotlin syntax, data types, control structures, and Android fundamentals.
  • Design UI layouts, handle user input, and connect to web services.
  • Master Jetpack Compose for modern declarative Android UI.
  • Deploy fully functional apps to the Google Play Store.
  • Build portfolio projects that demonstrate Kotlin, Jetpack, and Material Design patterns.
  • Gain problem-solving, debugging, and software development skills.
Enroll Now

Flutter

Build beautiful cross-platform mobile apps for iOS and Android with a single Dart codebase.

50,0003 monthsBeginner to Intermediate
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • Dart
  • Flutter
  • Firebase
  • REST APIs
  • Google Play
  • App Store
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Flutter developer, cross-platform mobile engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Dart language fundamentals and Flutter widget architecture.
  • Stateful vs stateless widgets and responsive layouts.
  • Navigation, forms, and local state management patterns.
  • REST API integration and JSON handling in Flutter apps.
  • Firebase integration for auth, storage, and real-time data.
  • Publish apps to both App Store and Google Play.
Enroll Now

React Native

Cross-platform mobile apps with React Native — JavaScript/TypeScript, native modules, and store-ready releases from a shared codebase.

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
  • React Native
  • TypeScript
  • Expo
  • Native modules
  • Redux
  • REST APIs
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
React Native developer, mobile engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • React Native fundamentals — components, JSX, and platform-specific patterns.
  • Navigation, styling, and responsive layouts for iOS and Android.
  • State management and API integration in mobile contexts.
  • Native modules, device APIs, and bridging when required.
  • Debugging, performance tuning, and over-the-air update basics.
  • Build and submit apps to the App Store and Google Play.
Enroll Now

Cloud & DevOps Academy

Cloud platforms and release engineering — AWS, Azure, containers, Kubernetes, Terraform, Jenkins, GitHub Actions, and CI/CD pipelines.

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.
Enroll Now

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.
Enroll Now

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.
Enroll Now

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.
Enroll Now

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.
Enroll Now

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.
Enroll Now

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.
Enroll Now

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.
Enroll Now

Cyber Security Academy

Offensive and defensive security — ethical hacking, network and web security, cloud hardening, DevSecOps, and penetration testing.

Ethical Hacking

Offensive security with authorization — reconnaissance, vulnerability analysis, and responsible disclosure aligned to industry ethics and legal boundaries.

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
  • Kali Linux
  • Nmap
  • Metasploit
  • Burp Suite
  • Recon tools
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Ethical hacker, security analyst, penetration tester
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Ethical hacking scope, rules of engagement, and legal frameworks.
  • Reconnaissance and footprinting techniques.
  • Vulnerability scanning and risk prioritization.
  • Exploitation fundamentals in controlled lab environments.
  • Post-exploitation awareness and evidence documentation.
  • Professional reporting and remediation recommendations.
Enroll Now

Network Security

Secure network architecture — segmentation, firewalls, intrusion detection, and monitoring for enterprise infrastructure.

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
  • Firewalls
  • IDS/IPS
  • VPN
  • Wireshark
  • Network segmentation
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Network security engineer, SOC analyst, security engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Network threat models and defense-in-depth principles.
  • Firewalls, ACLs, and network segmentation strategies.
  • VPNs, TLS, and secure remote access patterns.
  • Intrusion detection and prevention systems (IDS/IPS).
  • Network logging, packet analysis, and anomaly detection.
  • Harden a network design for a multi-tier application.
Enroll Now

Web Security

Application security for web products — OWASP Top 10, authentication, session management, and secure API design.

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
  • OWASP Top 10
  • Burp Suite
  • Auth testing
  • API security
  • Secure headers
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Application security engineer, security analyst
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • OWASP Top 10 vulnerabilities and mitigation patterns.
  • Authentication, session handling, and access control flaws.
  • Input validation, output encoding, and injection prevention.
  • Security headers, CORS, and browser-side protections.
  • API security — tokens, rate limiting, and authorization.
  • Assess and remediate vulnerabilities in a web application.
Enroll Now

Cloud Security

Security engineering for cloud environments — IAM, encryption, configuration hardening, and shared responsibility on AWS and Azure.

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
  • AWS IAM
  • Azure AD
  • Encryption
  • CIS benchmarks
  • CloudTrail
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Cloud security engineer, security architect
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Cloud shared responsibility model and threat landscape.
  • Identity and access management — roles, policies, and MFA.
  • Encryption at rest and in transit across cloud services.
  • Configuration baselines, CIS benchmarks, and drift detection.
  • Logging, CloudTrail-style auditing, and incident visibility.
  • Secure a cloud deployment with least-privilege architecture.
Enroll Now

DevSecOps

Integrate security into delivery pipelines — SAST, DAST, dependency scanning, and shift-left practices for product engineering teams.

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
  • SAST
  • DAST
  • Dependency scanning
  • CI/CD security
  • Secrets management
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
DevSecOps engineer, security engineer, platform engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • DevSecOps principles and shift-left security culture.
  • Static and dynamic analysis in CI/CD workflows.
  • Dependency and container image vulnerability scanning.
  • Secrets management and pipeline security gates.
  • Security testing automation on pull requests.
  • Embed security checks into an existing delivery pipeline.
Enroll Now

Penetration Testing

Structured penetration testing methodology — planning, execution, exploitation chains, and executive-ready findings for organizations.

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
  • PTES
  • OWASP
  • Exploitation frameworks
  • Reporting
  • Burp Suite
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Penetration tester, red team analyst, security consultant
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Pen test phases — scoping, discovery, exploitation, and reporting.
  • Methodologies aligned to PTES and OWASP testing guides.
  • Exploitation techniques across network, web, and cloud targets.
  • Privilege escalation and lateral movement in lab environments.
  • Evidence collection and reproducible finding documentation.
  • Capstone: deliver a penetration test report with remediation roadmap.
Enroll Now

Product Design Academy

UI and UX for product teams — research, interfaces, design systems, and portfolio case studies.

UI/UX Design

Design user-centric digital experiences with design thinking, research, and stunning interfaces.

50,0003 monthsBeginner to Intermediate
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • Figma
  • Design systems
  • Wireframing
  • Prototyping
  • Usability testing
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
UI/UX designer, product designer, interaction designer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • UI design — aesthetics, interactive elements, and visual hierarchy.
  • UX design — intuitive flows, usability, and solving real user problems.
  • The relationship between UI and UX in product development.
  • Core principles of UI/UX design and design systems.
  • User research, wireframing, prototyping, and usability testing.
  • Portfolio-ready projects for design roles at product companies.
Enroll Now

UX Design

Research-driven user experience design — empathy maps, journeys, and usability for product teams.

50,0003 monthsBeginner to Intermediate
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • User research
  • Journey mapping
  • Wireframes
  • Figma
  • Accessibility
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
UX designer, product designer, UX researcher
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • User research methods — interviews, surveys, and persona creation.
  • Information architecture and user journey mapping.
  • Wireframing and low-fidelity prototyping.
  • Usability testing and iterative design improvement.
  • Accessibility standards and inclusive design practices.
  • UX portfolio case studies for product design roles.
Enroll Now

UI Development (Front End)

Turn designs into polished, responsive interfaces with modern front-end tools and best practices.

50,0003 monthsBeginner to Intermediate
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • HTML
  • CSS
  • JavaScript
  • Responsive design
  • Accessibility
  • Bootstrap
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
UI developer, front-end developer, web developer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Semantic HTML, CSS layouts, and responsive design patterns.
  • JavaScript and component-based UI development.
  • Bootstrap and modern CSS frameworks for rapid prototyping.
  • Front-end tasks, bug fixing, and real-time project workflows.
  • Accessibility, performance, and cross-browser compatibility.
  • Collaborate with designers and back-end teams on production apps.
Enroll Now

Data Analytics Academy

Analytics and business intelligence — SQL, visualization, and stakeholder-ready reporting.

Data Analyst

Transform raw data into actionable insights with analytics tools, visualization, and reporting.

50,0003 monthsBeginner to Intermediate
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • SQL
  • Python
  • Excel
  • BI dashboards
  • Statistics
  • Visualization
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Data analyst, business analyst, analytics specialist
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Data collection, cleaning, and preprocessing workflows.
  • Exploratory data analysis with Python and spreadsheet tools.
  • Dashboards and visual storytelling with charts and BI tools.
  • SQL queries for extracting and aggregating business data.
  • Statistical analysis for trend identification and forecasting.
  • Present findings to stakeholders with clear, data-driven reports.
Enroll Now

Embedded & IoT Academy

Hands-on embedded platforms — Arduino, ESP32, Raspberry Pi, STM32, and platform-agnostic firmware engineering for connected products.

Arduino

Prototype with Arduino — sensors, actuators, GPIO programming, and firmware fundamentals on the world's most widely used maker platform.

50,0003 monthsBeginner
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • Arduino
  • C/C++
  • GPIO
  • Sensors
  • Serial
  • IDE
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Embedded hobbyist to junior embedded engineer, IoT developer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Arduino board architecture, IDE/toolchain, and sketch structure.
  • Digital and analog I/O, PWM, and reading sensor data.
  • Serial communication and debugging with the serial monitor.
  • Interfacing motors, displays, and common sensor modules.
  • Power considerations and basic circuit prototyping.
  • Capstone: build a complete Arduino-based IoT sensor node.
Enroll Now

ESP32

Wi-Fi and Bluetooth enabled embedded development with ESP32 — IoT connectivity, low-power modes, and cloud integration.

50,0003 monthsBeginner to Intermediate
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • ESP32
  • Wi-Fi
  • MQTT
  • Arduino core
  • Deep sleep
  • BLE
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
IoT developer, embedded engineer, firmware developer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • ESP32 architecture, ESP-IDF / Arduino core setup.
  • Wi-Fi provisioning, MQTT, and HTTP client patterns.
  • Bluetooth Low Energy basics for device pairing.
  • Deep sleep, power management, and battery-powered design.
  • OTA updates and secure device credentials.
  • Deploy sensor data from ESP32 to a cloud dashboard.
Enroll Now

Raspberry Pi

Linux on Raspberry Pi for edge computing — GPIO control, Python automation, cameras, and gateway applications.

50,0003 monthsBeginner to Intermediate
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • Raspberry Pi
  • Linux
  • Python GPIO
  • Docker
  • Edge computing
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
IoT developer, edge engineer, embedded Linux developer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Raspberry Pi setup, Linux basics, and headless configuration.
  • GPIO control with Python — sensors, relays, and LEDs.
  • Camera modules, streaming, and edge vision prototypes.
  • Networking, SSH, and remote administration.
  • Docker and services at the edge for IoT gateways.
  • Capstone: edge device that collects, processes, and forwards data.
Enroll Now

STM32

Professional embedded development on STM32 microcontrollers — HAL, bare-metal programming, and real-time firmware for industrial applications.

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
  • STM32
  • HAL
  • STM32CubeIDE
  • UART/SPI/I2C
  • DMA
  • ST-Link
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Embedded engineer, firmware developer, hardware engineer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • STM32 ecosystem — STM32CubeIDE, HAL, and clock configuration.
  • GPIO, timers, interrupts, and DMA fundamentals.
  • UART, SPI, I2C peripheral communication.
  • ADC, DAC, and interfacing industrial sensors.
  • Debugging with ST-Link, breakpoints, and logic analysis.
  • Firmware project on STM32 with structured peripheral drivers.
Enroll Now

Embedded Systems

Platform-agnostic embedded engineering — C/C++ firmware, RTOS concepts, communication protocols, and real-time system design.

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
  • Embedded C/C++
  • RTOS
  • UART/SPI/I2C
  • GPIO
  • Firmware debugging
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Embedded systems engineer, firmware developer
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Embedded C/C++ and memory-conscious programming patterns.
  • GPIO, timers, interrupts, and peripheral interfaces.
  • RTOS concepts and real-time scheduling.
  • Serial communication — UART, SPI, and I2C protocols.
  • Firmware development, debugging, and hardware-in-the-loop testing.
  • Capstone firmware project with documented architecture and test plan.
Enroll Now

Digital Growth Academy

Product growth and analytics — measurement, acquisition, and instrumentation aligned to engineering delivery.

Digital Marketing

Measurement and growth fundamentals for software products — SEO, analytics, paid channels, and conversion tracking aligned to engineering delivery cycles.

50,0003 monthsBeginner to Intermediate
Program details & curriculum
Learning mode
Live online cohort with mentor review
Projects included
Yes — multiple portfolio projects with code review
Technologies covered
  • SEO
  • Analytics
  • Google Ads
  • Email automation
  • Event tracking
Certificate
Completion certificate — outcomes measured by project work
Career opportunities
Growth analyst, product marketing, digital analyst
Internship availability
Internship track available — placement not guaranteed

What you'll learn

  • Technical SEO and site performance for product-led growth.
  • Analytics instrumentation — events, funnels, and attribution.
  • Paid acquisition campaigns with measurable cost and conversion targets.
  • Email and lifecycle messaging integrated with product analytics.
  • Content strategy tied to product documentation and release cycles.
  • Reporting dashboards that engineering and product teams can act on.
Enroll Now

Found a track that fits? Enroll Now or Talk to an Advisor if you need guidance first.

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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.

Generative AI · AI Agents

AI Chatbot

Retrieval-augmented assistant with guardrails, conversation memory, and a deployable API — evaluated for production behavior.

View related programs
React · Angular · Full Stack

Enterprise Dashboard

Role-based analytics dashboard with authentication, data visualization, and responsive layouts for operations teams.

View related programs
Full Stack · Laravel · Java

Expense Management System

Multi-user expense tracking with approvals, reporting, and a secure back-end — end-to-end product delivery.

View related programs
AWS · Azure · Terraform · CI/CD

Cloud Deployment

Application deployed to AWS or Azure with infrastructure as code, CI/CD pipelines, and monitoring hooks.

View related programs
Node.js · Java · Laravel · PHP

REST APIs

Versioned REST services with authentication, validation, documentation, and integration tests — ready for client consumption.

View related programs
Flutter · Dart

Flutter Mobile App

Cross-platform mobile product with navigation, API integration, and store-ready release workflow.

View related programs
Swift · SwiftUI · iOS

iOS Application

Native Swift/SwiftUI app with CoreData or API-backed features, TestFlight distribution, and App Store checklist.

View related programs
Kotlin · Jetpack Compose

Android Application

Kotlin app with Jetpack Compose, Material Design, and Play Store deployment from a production-grade codebase.

View related programs
ESP32 · Arduino · Raspberry Pi

IoT Monitoring System

Sensor data collection, edge processing, and cloud dashboard — MQTT/HTTP pipelines with live device telemetry.

View related programs
Machine Learning · Deep Learning

Machine Learning Models

Trained models on real datasets with evaluation metrics, experiment tracking, and inference deployment steps.

View related programs
Node.js · React · Cloud

Real-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 programs
Python · AI Agents · Node.js

Business Automation Systems

Workflow automation with integrations, scheduled jobs, and AI-assisted task routing — built for operational efficiency.

View related programs
Career 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 programs

AI Engineer

LLM applications, RAG pipelines, and intelligent features deployed with evaluation and guardrails.

Programs · Artificial Intelligence · Generative AI · AI Agents

Explore programs

ML Engineer

Model training, validation, and production ML systems on real datasets with monitoring hooks.

Programs · Machine Learning · Deep Learning

Explore programs

Data Scientist

Statistical modeling, feature engineering, and end-to-end data science projects for business problems.

Programs · Data Science · Data Analytics

Explore programs

Software Engineer

Product engineering across languages and stacks — architecture, code review, and release discipline.

Programs · Java · React · Node.js · Full Stack

Explore programs

Backend Developer

APIs, databases, and server-side systems — Java, Node.js, PHP, and Laravel tracks.

Programs · Java · Node.js · PHP · Laravel

Explore programs

Frontend Developer

Modern web interfaces with React, Angular, and UI development — accessible, performant products.

Programs · React · Angular · UI Development

Explore programs

Full Stack Developer

End-to-end web delivery — front-end, back-end, data layers, and deployment workflows.

Programs · Full Stack Development

Explore programs

Flutter Developer

Cross-platform mobile products from a single codebase — store release and API integration.

Programs · Flutter

Explore programs

iOS Engineer

Native Apple platform development — Swift, SwiftUI, and App Store release engineering.

Programs · iOS Development

Explore programs

Android Engineer

Native Android with Kotlin and Jetpack Compose — Play Store deployment and Material Design.

Programs · Android Development

Explore programs

Cloud Engineer

Design, deploy, and operate workloads on AWS and Azure with infrastructure as code.

Programs · AWS · Azure · Terraform

Explore programs

DevOps Engineer

CI/CD, containers, Kubernetes, and release automation — bridge development and operations.

Programs · Docker · Kubernetes · Jenkins · GitHub Actions · CI/CD

Explore programs

Cyber Security Engineer

Application, network, and cloud security — ethical hacking, DevSecOps, and penetration testing.

Programs · Ethical Hacking · Web Security · DevSecOps

Explore programs

UI/UX Designer

Research-driven product design — interfaces, journeys, usability, and portfolio case studies.

Programs · UI/UX Design · UX Design

Explore programs
Formats

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 proposal

Campus training

Industry-aligned modules for colleges and universities — semester programs, capstone mentorship, and guest instruction from working engineers.

Discuss campus partnership

Technology workshops

Focused deep-dives on a single stack or practice — React, Kubernetes, generative AI, secure coding, or mobile release engineering.

Request proposal

AI adoption programs

Practical LLM, RAG, and agent workflows for product teams — evaluation, guardrails, and integration into existing software delivery.

Request proposal

Leadership technology programs

Executive and engineering-lead sessions on architecture decisions, build-vs-buy, AI strategy, and managing modern product engineering teams.

Request proposal

Custom enterprise training

Fully tailored programs for your organization — custom syllabus, flexible scheduling, and instruction from the same team that runs client delivery.

Request proposal
ZestlanEnterprise upskilling, campus partnerships, and custom programs — scoped with the same transparency as our client engagements.
Request a corporate proposal
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.

Full stack · Software Engineering

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
Generative AI · Artificial Intelligence

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
Cloud & DevOps

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
Mobile · Flutter

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.

Individual cohort participant
Software engineering · Full stack track

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.

Career switcher
Artificial intelligence · Generative AI track

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.

Engineering manager
Corporate training · Web platform team

Guest modules and capstone mentorship connected our final-year students to production workflows — Git, PR review, and portfolio standards employers expect.

Computer science faculty
Campus partnership · Institutional program
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 Now Book Free Career Guidance

Ready to enroll?

Enroll in a cohort, talk to an advisor, book free career guidance, or request the course brochure — our Academy team responds within one business day.

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

Registering for Generative AI — ₹50,000 · 3 months.

Prefer to talk first? Contact us · Enterprise services