Transform Your Career with Future-Ready Technology Skills
Master Java, Spring Boot, Microservices, Cloud, DevOps, AI, and Modern Software Engineering with industry-focused training.
CORE
Training built the way engineering teams actually work
We didn't design our curriculum around exams — we designed it around the systems you'll be asked to build, debug, and ship on day one of a real job.
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Industry-driven curriculum
Built and reviewed with practicing engineers from product and enterprise teams.
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Hands-on learning
Every module pairs theory with a lab you run yourself, not a slide deck you watch.
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Real-world projects
Ship microservices, pipelines and cloud deployments that mirror production systems.
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Expert mentorship
Get code reviews and career guidance from mentors who ship software professionally.
Twelve tracks. One engineering standard.
Pick a track or combine several — every course shares the same emphasis on production-ready code and real systems thinking.
Full-Stack Java Development
End-to-end web apps with Java, Spring and modern frontend tooling.
Covers Core Java, Spring MVC, REST APIs, React integration and a capstone deployed to the cloud.
Spring Boot & Microservices
Design, build and deploy independently scalable service architectures.
Service discovery, config servers, resilience patterns, inter-service messaging and observability.
Cloud Computing
Core cloud concepts across compute, storage, networking and security.
Hands-on labs across multiple providers with a focus on production deployment patterns.
AWS Solutions Architecture
Design cost-efficient, fault-tolerant systems on AWS.
EC2, VPC, IAM, Lambda, RDS and architecture reviews aligned to the Solutions Architect exam.
DevOps Engineering
CI/CD pipelines, infrastructure as code, and release automation.
Jenkins pipelines, GitOps workflows, monitoring stacks and blue-green deployments.
Python Programming
From core syntax to building production-grade Python services.
Data structures, OOP, testing, packaging, and API development with FastAPI.
Artificial Intelligence
Foundations of AI systems, reasoning, and applied model building.
Search, knowledge representation, neural networks and applied AI project work.
Machine Learning
Supervised, unsupervised and applied ML with real datasets.
Model evaluation, feature engineering, and deployment of ML models as services.
System Design
Design large-scale systems the way senior engineers are interviewed on.
Load balancing, caching, sharding, consistency trade-offs and whiteboard practice sessions.
Software Architecture
Architectural patterns and trade-offs for enterprise-grade systems.
Layered, hexagonal and event-driven architectures with real case-study teardown.
Kafka & Event-Driven Architecture
Build systems that react to events at enterprise scale.
Topics, partitions, consumer groups, schema registry and streaming pipelines.
Docker & Kubernetes
Containerize and orchestrate applications the way production teams do.
Multi-stage builds, Helm charts, autoscaling and cluster networking.
From enrollment to offer letter
A fixed sequence, refined over thousands of cohorts, that turns study time into an actual job.
Enrollment
Pick a track and lock your cohort start date.
Foundation Training
Core language and systems fundamentals.
Hands-on Labs
Guided labs on real cloud environments.
Real-World Projects
Ship projects modeled on production systems.
Interview Preparation
Mock technical and system design interviews.
Certification
Sit for industry-recognized certifications.
Career Support
Resume, portfolio and LinkedIn overhaul.
Placement Assistance
Warm introductions to hiring partners.
Trained on the tools enterprises run in production
No toy frameworks — you'll work directly with the backend, cloud, DevOps and data stack used across real engineering orgs.
Backend
Cloud
DevOps
Databases
AI & Data
Everything a career transition actually requires
Learning the syntax is 20% of the job. This is the other 80%.
Live Instructor-Led Training
Real-time classes with working engineers, not pre-recorded slides.
Project-Based Learning
Every concept is reinforced with a project you build yourself.
Real Enterprise Use Cases
Case studies drawn from actual production systems.
Cloud Lab Environment
Provisioned cloud sandboxes for every hands-on session.
Certification Preparation
Structured prep tracks for major industry certifications.
Resume Building
One-on-one resume reviews tailored to your target role.
Mock Interviews
Technical and behavioral mock interviews with feedback.
Placement Support
Direct introductions through our hiring partner network.
Careers, not just certificates
Real transitions from ESQEON graduates now working across product and enterprise engineering teams.
"The Spring Boot & Microservices track is the reason I could pass a system design round I would have failed a year ago."
"ESQEON's cloud labs gave me AWS experience I could actually speak to in interviews, not just a certificate."
"Building real CI/CD pipelines in the labs mattered more than any tutorial I'd watched before."
"The mentorship made the difference — code review feedback I never got from self-study."
"Placement support turned my project portfolio into three real interview loops within a month."
Where ESQEON graduates go next
Questions, answered
Students, career switchers and working professionals with any background. Each track lists a recommended starting level, and our advisors help you pick the right one.
Classes are live and instructor-led, with recordings provided afterward so you can revisit any session.
Yes — every program includes resume building, mock interviews and warm introductions through our hiring partner network.
Every track includes hands-on labs plus at least one capstone project modeled on real production systems.
Yes, you'll receive an ESQEON certificate of completion, and select tracks include prep for major industry certifications.
Start Your Learning Journey Today
Tell us where you are and where you want to be — we'll map the shortest real path between the two.