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Zestlan
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
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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.

Enroll Now Talk to an AdvisorBook Free Career GuidanceDownload Course Brochure
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

Embedded & IoT Academy

Hands-on embedded platforms — Arduino, ESP32, Raspberry Pi, STM32, and platform-agnostic firmware engineering for connected products. ₹50,000 · 3 months per program.

Showing 5 programs in Embedded & IoT Academy.

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.
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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

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.

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Node.js · Java · Laravel · PHP

REST APIs

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

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Flutter · Dart

Flutter Mobile App

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

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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

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AI Engineer

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

Programs · Artificial Intelligence · Generative AI · AI Agents

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ML Engineer

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

Programs · Machine Learning · Deep Learning

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Data Scientist

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

Programs · Data Science · Data Analytics

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Software Engineer

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

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

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Backend Developer

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

Programs · Java · Node.js · PHP · Laravel

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Frontend Developer

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

Programs · React · Angular · UI Development

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Full Stack Developer

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

Programs · Full Stack Development

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Flutter Developer

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

Programs · Flutter

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iOS Engineer

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

Programs · iOS Development

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Android Engineer

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

Programs · Android Development

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Cloud Engineer

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

Programs · AWS · Azure · Terraform

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DevOps Engineer

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

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

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Cyber Security Engineer

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

Programs · Ethical Hacking · Web Security · DevSecOps

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UI/UX Designer

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

Programs · UI/UX Design · UX Design

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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 Now Talk to an AdvisorBook Free Career GuidanceDownload Course Brochure
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