Hands-on internship in Java, Python, AWS, Terraform & Observability — with AI-assisted tooling and architecture exposure from day one. Build production-grade microservices, deploy to AWS, and learn how engineers think in real systems.
If you're serious about writing production-quality code, using AI tools responsibly, and deploying to the cloud, this program is for you.
Want a portfolio project that stands out in interviews and proves you can build real systems.
Want to level up from CRUD apps to production-grade cloud-native microservices.
Want hands-on AWS, Terraform, and CI/CD experience with real deployments.
Need a real project to discuss in system design and technical interviews.
You'll build, deploy, and monitor a real microservices application on AWS — using the same architectural patterns and tools used in production systems across the industry.
Each module builds on the previous one. By week 14, you'll have deployed a complete system to AWS.
Build a production-ready User Management API. Learn Spring Boot, JPA, REST design, caching, testing with JUnit & Mockito.
Build an async Task Management API. Learn FastAPI, async programming, SQLAlchemy, Pydantic validation, and pytest.
Deploy to AWS. Learn VPC, EC2, RDS, S3, Lambda, CloudWatch. Understand networking, security groups, and IAM.
Automate everything. Write Terraform modules, manage state, use workspaces, and apply IaC best practices.
Instrument services. Build Grafana dashboards, trace requests across services with Jaeger, set up alerts.
Automate builds and deployments. Configure GitHub Actions, Docker optimization, GitOps, and deployment strategies.
Build a complete feature end-to-end: new entity, both services, Terraform, monitoring, tests, CI/CD, and present to the team.
Modern Java
Enterprise Framework
Latest Python
Async Framework
Relational DB
In-Memory Cache
Cloud Platform
Infrastructure as Code
Containerization
Metrics
Dashboards
Tracing
CI/CD
API Gateway
Authentication
Instrumentation
After 14 weeks, you'll have the skills and portfolio to compete for cloud engineering roles.
Design and build loosely-coupled services with proper API contracts, data isolation, and inter-service communication.
Deploy and manage production workloads on AWS — VPC, ECS, RDS, ElastiCache, CloudWatch, and more.
Automate cloud infrastructure with Terraform modules, state management, and multi-environment deployments.
Instrument services with metrics, logs, and traces. Build dashboards and configure alerts for production systems.
Automate testing, building, and deployment with GitHub Actions. Implement quality gates and rollback strategies.
Implement JWT authentication, RBAC, encrypted communication, secrets management, and vulnerability scanning.
Write unit tests, integration tests, and achieve 80%+ code coverage. Test-driven development mindset.
Walk away with a real, deployable project you can show in interviews and demonstrate end-to-end ownership.
Fill out the application form below. We'll assess your current level and create a personalized learning roadmap.
Follow the structured curriculum with weekly 1:1 sessions, code reviews, and hands-on assignments. Build the real project week by week.
Deploy your project to AWS, complete the capstone, and present your work. Walk away with production-ready skills and a portfolio project.
Not sure which to pick? Go with 1:1 Guided if you want flexibility. Choose the 3-Month Track if you're ready to commit and want a structured, job-ready outcome.
Flexible monthly mentorship — learn what you need, when you need it
Structured 14-week program — go from fundamentals to job-ready with a production project
Fill in your details below. We'll review your application and respond with next steps as soon as possible.
