Our Courses

Elixir Mastery

3 months$5,000 USD

Upcoming Cohorts

Start DateEnd Date
January 20, 2026April 20, 2027
May 20, 2026August 20, 2027
September 20, 2026December 20, 2027

Dive deep into functional programming with Elixir and the Phoenix framework. This intensive course is designed for developers who want to harness the power of Elixir for building scalable and fault-tolerant applications. You'll learn how to leverage Elixir's unique features to create robust, concurrent systems that can handle millions of simultaneous connections.

Curriculum Overview

Week 1-2: Elixir Fundamentals

  • Introduction to functional programming paradigms
  • Elixir syntax and basic types
  • Pattern matching and control structures
  • Modules, functions, and the pipe operator
  • Recursion and tail-call optimization

Week 3-4: OTP and Concurrent Programming

  • Understanding the Actor model
  • Working with Processes and message passing
  • GenServer and OTP behaviors
  • Supervisors and application structure
  • Distributed Elixir and node communication

Week 5-6: Phoenix Framework Basics

  • Introduction to Phoenix and its architecture
  • Routing and Controllers
  • Ecto for database interactions
  • Templates and Views
  • Phoenix LiveView for real-time features

Week 7-8: Building Real-time Applications

  • WebSockets and Channels
  • PubSub for real-time communication
  • Building interactive UIs with LiveView
  • Presence for tracking user state
  • Performance optimization techniques

Week 9-10: Distributed Systems with Elixir

  • BEAM and Erlang distribution
  • Building distributed applications
  • Fault tolerance and self-healing systems
  • Clustering and load balancing
  • Monitoring and observability in distributed systems

Week 11-12: Final Project and Deployment

  • Designing and implementing a scalable Elixir application
  • Testing strategies for Elixir applications
  • Continuous Integration and Deployment (CI/CD)
  • Deploying Elixir applications to cloud platforms
  • Performance tuning and optimization

Learning Outcomes

  • Proficiency in functional programming with Elixir
  • Ability to build concurrent and distributed systems
  • Expertise in developing real-time web applications with Phoenix
  • Understanding of OTP and its role in building fault-tolerant systems
  • Skills to design, develop, and deploy scalable Elixir applications

Potential Career Paths

  • Backend Developer specializing in Elixir
  • Distributed Systems Engineer
  • Real-time Application Developer
  • DevOps Engineer for Elixir-based systems
  • Technical Architect for scalable web applications
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Rust Programming

3 months$5,000 USD

Upcoming Cohorts

Start DateEnd Date
January 20, 2026April 20, 2027
May 20, 2026August 20, 2027
September 20, 2026December 20, 2027

Master systems programming with Rust's performance and safety features. This course is perfect for developers who want to write high-performance, memory-safe code for systems programming, game development, and web assembly applications. You'll learn how to leverage Rust's unique ownership model and type system to create efficient and secure software.

Curriculum Overview

Week 1-2: Rust Syntax and Ownership Model

  • Introduction to Rust and its design philosophy
  • Variables, data types, and control structures
  • Understanding ownership, borrowing, and lifetimes
  • Working with structs, enums, and pattern matching
  • Error handling in Rust

Week 3-4: Advanced Types and Trait System

  • Generic types and functions
  • Trait definitions and implementations
  • Advanced trait techniques (associated types, default implementations)
  • Smart pointers (Box, Rc, Arc)
  • Working with closures and iterators

Week 5-6: Concurrency and Parallelism in Rust

  • Understanding threads and fearless concurrency
  • Mutex and atomic types for safe shared state
  • Channels for message passing between threads
  • Async programming with Futures and async/await
  • Parallel processing with Rayon

Week 7-8: Unsafe Rust and FFI

  • Understanding unsafe Rust and its use cases
  • Working with raw pointers and mutable statics
  • Foreign Function Interface (FFI) with C libraries
  • Building and using Rust libraries in other languages
  • Best practices for writing safe abstractions over unsafe code

Week 9-10: Web Assembly and Rust

  • Introduction to WebAssembly and its ecosystem
  • Setting up a Rust and WebAssembly development environment
  • Building, testing, and debugging Rust-generated WebAssembly
  • Interoperability between Rust, WebAssembly, and JavaScript
  • Optimizing Rust code for WebAssembly performance

Week 11-12: Final Project and Optimization Techniques

  • Designing and implementing a complex Rust application
  • Advanced testing strategies (unit, integration, and benchmark tests)
  • Profiling and optimizing Rust code
  • Memory optimization techniques
  • Rust ecosystem and community resources

Learning Outcomes

  • Proficiency in writing safe and efficient Rust code
  • Understanding of Rust's ownership model and type system
  • Ability to develop concurrent and parallel applications in Rust
  • Skills to integrate Rust with other languages and systems
  • Expertise in creating high-performance WebAssembly applications

Potential Career Paths

  • Systems Programmer
  • Game Engine Developer
  • WebAssembly Specialist
  • Embedded Systems Developer
  • Performance-critical Application Developer
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Full-Stack Web Development + Rust

12 months$12,500 USD

Upcoming Cohorts

Start DateEnd Date
February 5, 2026February 5, 2027

Master modern web development and Rust programming in this comprehensive bootcamp. You'll learn to build complex, high-performance web applications using traditional web technologies and Rust for backend development. This course combines full-stack web development fundamentals with Rust's powerful systems programming capabilities, preparing you for both traditional web development and high-performance backend programming.

Curriculum Overview

Month 1: HTML, CSS, and JavaScript Fundamentals

  • Semantic HTML5 and accessibility best practices
  • CSS3, Flexbox, and Grid layouts
  • Responsive design principles
  • JavaScript ES6+ features and DOM manipulation
  • Version control with Git and GitHub

Month 2-3: React and State Management

  • React fundamentals and component architecture
  • Hooks and functional components
  • State management with Context API and Redux
  • Routing with React Router
  • Testing React applications with Jest and React Testing Library

Month 4: Node.js and Express.js

  • Node.js fundamentals and event-driven programming
  • Building RESTful APIs with Express.js
  • Middleware and error handling
  • Asynchronous programming with Promises and async/await
  • Testing Node.js applications

Month 5: Databases (SQL and NoSQL)

  • Relational database design with PostgreSQL
  • SQL queries and database optimization
  • ORM usage with Sequelize
  • NoSQL databases with MongoDB
  • Data modeling for document databases

Month 6: RESTful APIs and GraphQL

  • Designing and implementing RESTful APIs
  • API documentation with Swagger
  • Introduction to GraphQL
  • Building a GraphQL server with Apollo Server
  • Integrating GraphQL with React using Apollo Client

Month 7: Authentication, Authorization, and Security

  • User authentication strategies
  • JSON Web Tokens (JWT) for stateless authentication
  • OAuth 2.0 and social login integration
  • Role-based access control (RBAC)
  • Web security best practices (HTTPS, CORS, XSS prevention)

Month 8: DevOps and Cloud Deployment

  • Introduction to DevOps principles
  • Containerization with Docker
  • Orchestration with Kubernetes
  • Continuous Integration and Continuous Deployment (CI/CD)
  • Cloud deployment on AWS or Google Cloud Platform

Month 9: Introduction to Rust and Backend Development

  • Rust syntax and ownership model
  • Understanding ownership, borrowing, and lifetimes
  • Error handling in Rust
  • Cargo and the Rust ecosystem
  • Building HTTP servers with Actix-web or Rocket

Month 10: Advanced Rust for Backend Development

  • Async programming in Rust with Tokio
  • Database integration with Diesel ORM
  • Building RESTful APIs in Rust
  • Authentication and middleware in Rust web frameworks
  • Performance optimization for Rust backends

Month 11: Rust Microservices and Integration

  • Developing microservices in Rust
  • gRPC and protocol buffers with Rust
  • WebAssembly integration for performance-critical features
  • Connecting Rust backends with frontend applications
  • Testing and debugging Rust web services

Month 12: Final Project and Career Preparation

  • Building a full-stack application with Rust backend
  • Performance optimization and scalability
  • Code review and best practices
  • Portfolio development
  • Interview preparation and job search strategies

Learning Outcomes

  • Proficiency in both front-end and back-end web development
  • Ability to design, develop, and deploy full-stack web applications
  • Understanding of database design and management
  • Expertise in modern JavaScript frameworks and libraries
  • Proficiency in Rust for high-performance backend development
  • Skills in DevOps practices and cloud deployment
  • Knowledge of web security principles and best practices

Potential Career Paths

  • Full-Stack Web Developer
  • Rust Backend Developer
  • Systems Programmer
  • Performance-Focused Web Developer
  • DevOps Engineer
  • Software Architect
  • Technical Lead
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AI/ML Model Training

12 months$12,500 USD

Upcoming Cohorts

Start DateEnd Date
March 18, 2026March 18, 2027

Master the art of training artificial intelligence and machine learning models in this comprehensive 1-year bootcamp. This Intensive program covers everything from data preprocessing and fundamental ML algorithms to advanced Deep Learning, neural networks, and optimizing Large Language Models (LLMs). Prepare to build, deploy, and scale state-of-the-art AI solutions.

Curriculum Overview

Month 1-2: Python, Math, and Data Foundations

  • Advanced Python programming & performance optimization
  • Linear Algebra, Calculus, and Statistics for ML
  • Data structures, algorithms, and complexity
  • Data wrangling with Pandas & Numpy
  • Exploratory Data Analysis and visualization

Month 3-4: Machine Learning Fundamentals

  • Supervised learning: Regression & Classification
  • Unsupervised learning: Clustering & Dimensionality Reduction
  • Ensemble methods: Random Forests, Gradient Boosting
  • Model evaluation, cross-validation, and bias-variance tradeoff
  • Using Scikit-Learn effectively

Month 5-6: Deep Learning & Neural Networks

  • Introduction to Artificial Neural Networks (ANN)
  • Backpropagation and optimization algorithms (SGD, Adam)
  • TensorFlow and PyTorch frameworks
  • Building multi-layer perceptrons
  • Regularization techniques (Dropout, L1/L2, Batch Norm)

Month 7-8: Computer Vision & Specialized Architectures

  • Convolutional Neural Networks (CNNs)
  • Image classification, object detection, and segmentation
  • Recurrent Neural Networks (RNNs) and LSTMs
  • Handling sequential data and time series
  • Transfer learning and pre-trained models

Month 9-10: NLP and Large Language Models (LLMs)

  • Natural Language Processing fundamentals
  • Word embeddings and attention mechanisms
  • Transformer Architectures (BERT, GPT)
  • Training, fine-tuning, and prompting LLMs
  • Retrieval-Augmented Generation (RAG)

Month 11-12: MLOps and Model Deployment

  • Packaging models for production
  • Model serving APIs (FastAPI)
  • Containerization with Docker & Orchestration
  • Model monitoring, drift detection, and CI/CD for ML
  • Final Capstone Project

Learning Outcomes

  • Strong mathematical and programmatic foundation for AI
  • Proficiency in building models with Scikit-learn, PyTorch, and TensorFlow
  • Ability to architect and train custom Deep Learning models
  • Expertise in fine-tuning Large Language Models
  • Competence in deploying AI models to production (MLOps)

Potential Career Paths

  • Machine Learning Engineer
  • AI Research Scientist
  • Data Scientist
  • NLP Engineer
  • Deep Learning Specialist
  • MLOps Engineer
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