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4-Week Intensive Training Program

Go from inexperienced to industry-ready in just 4 weeks. Master modern development practices and gain experience that will make you a competitive candidate.

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Available Program Dates

June 2nd - June 27th

Java/Spring Backend

View Session Details →

July 7th - August 1st

Data Science/AI & LLM

View Session Details →

August 4th - August 29th

DevOps & Microservices

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What Makes This Program Unique?

Unlike traditional bootcamps or online courses, our program is tailored towards the complete transition from college to career - combining real enterprise skills training, network building, and strategic career guidance to bridge the gap between learning and landing your dream role in today's competitive tech market.

Enterprise-Level Project Experience

Build production-level applications using microservices, event-driven architecture, test-driven development, and CI/CD workflows with Docker. Complete an end-to-end portfolio project that matches the standards and complexity of industry software applications.

1:1 Industry Mentorship

Get 1:1 mentorship fron senior Silicon Valley engineers who provide personalized guidance, portfolio feedback, and career strategies. Our mentors leverage their industry and hiring experience to help you navigate the job search and position yourself competitively.

Job Market Combat Training

Intensive algorithm preparation and technical interview coaching designed for today's brutal job market. We'll prepare you for Leetcode challenges, systems design questions, and the full spectrum of technical interviews until you can tackle them with confidence.

Team-Based Development

Gain intensive, project-based experience that mirrors real tech internships with daily standups and collaborative code reviews. Work collaboratively, developing the communication, problem-solving, and coordination skills essential for real-world software development roles.

Access to Exclusive Industry Network

Access exclusive referral opportunities through our close network of partner companies and alumni. Your mentor actively advocates for your placement using insider knowledge of recruitment processes and industry expectations.

Measurable Career Impact

Track your transformation with concrete portfolio projects and professional references that demonstrate your growth. Our graduates have secured offers at top-tier companies across the industry. Over 90% report that their experience at this program made them more competitive in the job market and helped them unlock new career opportunities.



Ready to Stand Out? Apply Now →





Meet Your Instructors



Dave Wang

Dave

Senior Systems Engineer @ Cisco

Educational Background

  • B.S. in Electronic Engineering from Tsinghua University
  • M.S. in Electrical and Computer Engineering from UCLA
  • Specialization: Communication systems & embedded computing

Core Experience

  • Skilled in backend development with Java / Go / Node.js
  • Architected high-concurrency services using microservice architecture
  • Extensive experience with gRPC, database optimization, and scalable middleware
  • Proficient in Docker, Kubernetes, Prometheus for cloud-native deployments

In the Bootcamp

Guides students through real-world backend system design, from database modeling to cloud deployment.

Focuses on building resume-worthy project structures and production-grade code standards.

Alex Wang

Alex

Backend Software Engineer @ Amazon

Educational Background

  • Master's in Electrical Engineering from USC
  • Focus areas: Cloud architecture, systems engineering, and backend development

Core Experience

  • Led development of microservice modules serving tens of millions of users with Java + Spring Boot
  • Specialized in RESTful API design, security authentication, and performance optimization
  • Expert in AWS ecosystem: EC2, S3, Lambda, RDS, and cloud-native architecture
  • Key role in improving CI/CD pipeline, enabling full automation from code to production

In the Bootcamp

Teaches students to write enterprise-level backend code with Spring Boot and design high-quality APIs.

Walks through complete engineering workflow: code → test → deploy → deliver. Students complete a deployable backend project suitable for their resume.






Course Details

Java/Spring Backend
June 2 - June 27
1

Foundation Building

Programming Basics + SpringBoot & FastAPI + Project Management Tools

Content:

  • Course introduction and career path planning
  • Quick start with Java (SpringBoot) vs Python (FastAPI)
  • Basic operations with Git / GitHub / GitLab
  • IDE setup (IntelliJ / VS Code)
  • RESTful API vs gRPC: Basic concepts and differences
  • Mini project exercise: Build a CRUD API for employee management

Lab:

  • Create a basic API service using SpringBoot or FastAPI (with create, read, update, delete)
  • Deploy locally using Docker
2

Cloud Computing & Docker

Cloud Service Operations + Containerized Deployment

Content:

  • Introduction to AWS/GCP cloud services (IAM / EC2 / S3 / Lambda / SQS)
  • Use AWS CLI to upload files and send SQS messages
  • Docker fundamentals (build, run, compose)
  • Dockerize your Flask or SpringBoot project
  • Introduction to CI/CD (GitHub Actions / Jenkins basics)

Lab:

  • Build a Docker image for last week's project
  • Deploy the image to a cloud server (or local Kubernetes environment)
3

Kubernetes & Project Development

Container Orchestration + Project Architecture Design

Content:

  • Core Kubernetes concepts (pod, service, ingress)
  • Install services like MySQL/Postgres/Weaviate using Helm Charts
  • Deploy a full application on K8s (including VectorDB)
  • System design discussion (scalability, fault tolerance, high availability)
  • Guide to start final project: RAG (Retrieval-Augmented Generation) chat system

Lab:

  • Read the base framework of the RAG project, choose a tech stack (Java or Python)
  • Begin building document upload + vectorization + query API
4

RAG Implementation & Interview Prep

RAG Solution + Project Packaging + Interview Skills

Content:

  • Basic architecture of Retrieval-Augmented Generation
  • Introduction to vector databases: Weaviate, Chroma, FAISS
  • Prompt template design and context chunking strategies
  • Using OpenAI/LLMs for question-answering
  • Interview techniques (system design, project presentation, Leetcode strategies)
  • Final project presentation practice

Lab:

  • Complete project deployment and documentation
  • Prepare a 10-minute project presentation (PPT + Demo)
Data Science/AI & LLM
July 1 - July 27
1

Java & Spring Framework Mastery

Core Java + Spring Boot & Framework + OOP Fundamentals

Content:

  • Java fundamentals and programming essentials
  • Spring Framework AOP and advanced API development
  • Object-Oriented Programming concepts and best practices
  • Java memory management and optimization techniques
  • Multi-threading programming and concurrent execution
  • RESTful API development with Spring Boot and Spring Framework
  • Daily coding practice: 2-3 LeetCode algorithm challenges

Lab:

  • Build Project #1: Employee CRUD RESTful API using Spring Framework
  • Complete system design project focusing on API architecture and trade-offs
2

Cloud Computing & Big Data

Cloud Services + Containerization + Data Processing

Content:

  • AWS/GCP cloud services (IAM, EC2, S3, Lambda, SQS, API Gateway, Glue)
  • Docker fundamentals (build, run, compose operations)
  • Containerize Java applications with Docker
  • Spring AOP integration with cloud services
  • CI/CD pipeline setup (GitHub Actions and Jenkins)
  • Database and big data processing introduction
  • Apache Spark and distributed system architecture

Lab:

  • Dockerize previous week's Spring Boot project
  • Design and implement a scalable cloud-based system architecture
  • Continue daily LeetCode practice and algorithm optimization
3

DevOps & System Design

Cloud Operations + Kubernetes + Monitoring & Performance

Content:

  • DevOps principles and cloud operations management
  • Kubernetes fundamentals and container orchestration
  • Helm Chart deployment and package management
  • Grafana and Prometheus monitoring setup
  • System scalability, performance optimization, and metrics analysis
  • Advanced system design patterns and architectural decisions

Lab:

  • Deploy application on Kubernetes with monitoring stack
  • Design a high-availability system with performance trade-off analysis
  • Algorithm practice: Advanced data structures and optimization
4

AI Integration & Interview Preparation

RAG Systems + LLM Integration + Career Readiness

Content:

  • Retrieval-Augmented Generation (RAG) system architecture
  • Vector database integration and management
  • Prompt engineering and optimization techniques
  • OpenAI, ChatGPT, and LLM integration (Llama3 and alternatives)
  • End-to-end system integration and deployment
  • Technical interview preparation and system design practice
  • Final project presentation and portfolio development

Lab:

  • Complete final RAG project with full system integration
  • Prepare comprehensive project presentation and technical demo
  • Final design project: Enterprise-scale system architecture
DevOps & Microservices
August 2 - August 28

Coming soon! Detailed curriculum for our DevOps and Microservices track.




Get In Touch

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