Featured courses

Comprehensive course on AI Agent Engineering — from Python & ML foundation, NLP & LLMs (LLaMA, Mistral, Qwen, Phi), RAG with Vector DB (FAISS, Milvus, Pinecone), to building AI Agent systems with LangChain, LlamaIndex, CrewAI, LangGraph. Practice Fine-tuning, Prompt Engineering, Tool Calling, Multi-Agent. Deploy production with FastAPI, Docker, Microservices, MLOps, CI/CD on AWS/Azure/GCP. Fully meets AI/ML Engineer recruitment requirements at leading technology companies.

A hands-on series for building a local AI stack with Gemma 4 on Apple Silicon following engineering best practices. From Ollama setup, API integration, RAG pipeline, hybrid retrieval, to observability and hardening for internal environments.

Machine Learning roadmap for beginners starts from zero, following an easy-to-understand method: intuition first, code later, just enough math. The course goes from environment setup, first model, proper evaluation, overfitting/data leakage prevention, to common models (Linear, Logistic, Tree, XGBoost), unsupervised, time series, and production deployment. Each cluster of lessons has mini-projects, real-life challenges and a clear output checklist.

Comprehensive guide to running LLM locally on Mac Apple Silicon (M1/M2/M3/M4) with Ollama and MLX. From initial installation to 3x acceleration with the MLX framework, managing multiple models, integrating APIs into applications, and optimizing GPU/RAM performance. All hands-on, privacy-first, no internet required.

Comprehensive course on AI in Healthcare — from Medical Imaging with CNN, NLP for medical records, Drug Discovery with GNN, to implementing HIPAA/FDA compliant AI. Practice with Python, PyTorch, Hugging Face, and standard medical datasets such as MIMIC, CheXpert, PubMed.

Comprehensive course on Generative AI for images and video — from GAN, VAE platforms to Stable Diffusion, DALL-E, Midjourney API. Practice image generation, inpainting, style transfer, video generation, and build Generative AI pipeline production-ready with Python, Hugging Face Diffusers, and ComfyUI.

Comprehensive course on Recommendation Systems — from Collaborative Filtering, Content-based, Matrix Factorization to Deep Learning RecSys with Two-Tower, Graph Neural Networks, Sequence Models. Hands-on with Python, PyTorch, LightFM, and deploy production-ready recommendation engine.

Comprehensive course on Multimodal AI — from Vision-Language Models (CLIP, LLaVA), Visual Question Answering, Image Captioning, to Document AI, Video Understanding. Practice with Python, PyTorch, Hugging Face Transformers, and state-of-the-art models like GPT-4V, Gemini, LLaVA.

Comprehensive course on Natural Language Processing (NLP) — from tokenization platforms, word embeddings, to Transformer architecture, BERT, GPT. Practice text classification, NER, sentiment analysis, machine translation, question answering and build a production-ready NLP pipeline with Python, Hugging Face, and spaCy.

Comprehensive Reinforcement Learning course — from MDP, Q-Learning to Deep RL platforms with DQN, Policy Gradient, PPO, SAC. Practice game AI, robotics simulation, RLHF for LLM, and deploy RL agents production-ready with Python, Gymnasium, Stable-Baselines3.

Comprehensive AI for Speech & Audio course — from audio signal processing, Speech Recognition (ASR) with Whisper, Text-to-Speech (TTS) with VITS, Voice Cloning, Speaker Verification, to Music AI. Practice with Python, PyTorch, Hugging Face, librosa, and state-of-the-art models.

A comprehensive course on Time Series AI — from Statistical Methods (ARIMA, ETS), Machine Learning (XGBoost, LightGBM), to Deep Learning (LSTM, Transformer, TimesFM). Application of forecasting, anomaly detection, classification. Practice with Python, statsmodels, scikit-learn, PyTorch, and specialized frameworks.

The series builds an entire AI system for a Fashion & Print-on-Demand platform — from AI Design Generation (Stable Diffusion, ControlNet), AI Editing in natural language, Personalization System, Virtual Try-On with Computer Vision, to Print File Optimization and AI Product Generation. Each article is an independent AI module that can be deployed in production.

A hands-on series on building a complete AI Agent Platform using TypeScript — from monorepo design, LLM Router, Tool Registry, RAG Pipeline, Workflow Engine, Multi-tenant RBAC to deploying Docker production. Learn through the actual source code of xClaw — an open-source platform running in production.

Practical course on Computer Vision — from CNN, Object Detection (YOLO), Image Segmentation (SAM) to Vision Transformer and Multimodal AI. Hands-on with PyTorch, Ultralytics YOLO, Hugging Face. Deploy CV model to production with TensorRT and ONNX.

In-depth course on MLOps and LLMOps — the art of bringing AI models from prototype to production safely and effectively. From experiment tracking, CI/CD for ML, to LLM observability, cost optimization, guardrails, and compliance. Highest paying skills in AI.

Comprehensive course on Prompt Engineering — from writing basic prompts to Chain-of-Thoughts, Tree-of-Thoughts, Multimodal Prompting and building a Prompt Library for production. The most essential skill in the AI ​​age, immediately applicable to ChatGPT, Claude, Gemini.

In-depth course on Retrieval-Augmented Generation (RAG) — techniques for connecting the LLM to your own data. From basic RAG to Graph RAG, Agentic RAG, Multimodal RAG. Hands-on with ChromaDB, Qdrant, LangChain, LlamaIndex. Deploy "Chat with Documents" to production.

Comprehensive course on Fine-tuning Large Language Models — when to fine-tune, data preparation, fine-tuning on Google Gemini/Vertex AI, OpenAI, and open-source (LoRA/QLoRA). Compare Fine-tuning vs RAG, model evaluation methods, and production deployment. Calculate actual costs.

Practical course on building AI Agents — from simple chatbots to complex Multi-Agent systems. Proficient in Function Calling, Tool Use, RAG, MCP, LangGraph, CrewAI and deploying Agent to production. Each lesson is coded hands-on with Python.

Comprehensive course on Artificial Intelligence and Large Language Models — from Neural Networks platform, Transformer architecture, to Fine-tuning, RAG, AI Agents and production deployment. Learn hands-on with Python, PyTorch, and LLM APIs.

Comprehensive study roadmap for NVIDIA DLI Generative AI courses — from Diffusion Models, RAG Agents, Agentic AI to LLM Evaluation & Fine-tuning. 10 in-depth lessons with hands-on code, coding assessment practice, and sample questions closely matching the real exam.

A comprehensive study guide for the CKA (Certified Kubernetes Administrator) exam. Covers all 5 hands-on domains: Troubleshooting (30%), Cluster Architecture (25%), Services & Networking (20%), Workloads & Scheduling (15%), Storage (10%). 12 lessons with hands-on terminal exercises.

A comprehensive study roadmap for the CKAD (Certified Kubernetes Application Developer) exam. Fully covers all 5 hands-on domains: App Environment & Security (25%), App Design & Build (20%), App Deployment (20%), Services & Networking (20%), App Observability (15%). 10 lessons with hands-on terminal exercises.

A comprehensive study path for the KCNA (Kubernetes and Cloud Native Associate) exam. Covers all 5 domains: Kubernetes Fundamentals (46%), Container Orchestration (22%), Cloud Native Architecture (16%), Observability (8%), Application Delivery (8%). 9 in-depth lessons with English practice quizzes.

Comprehensive study guide for the Google Cloud Professional Machine Learning Engineer exam. Vertex AI, BigQuery ML, TFX pipeline, MLOps on GCP.

An in-depth study guide for the AWS Certified Machine Learning - Specialty (MLS-C01) exam. Master SageMaker, data engineering, modeling, and ML deployment on AWS at the expert level.

A comprehensive study guide for the AWS Certified AI Practitioner (AIF-C01) exam. Covers all 5 domains: AI/ML Fundamentals, Generative AI, Foundation Models, Responsible AI, Security & Governance. 12 in-depth lessons with English practice exams.

The most comprehensive series for beginners to learn OMOP Common Data Model version 5.4. From the basic concept of medical data standardization, Person-centric architecture, 37 data tables (Clinical Data, Health System, Health Economics, Standardized Vocabularies, Derived Elements, Metadata), to Concept/Vocabulary systems, ETL processes, and OHDSI ecosystem tools. Each lesson has real-life examples from Vietnamese hospitals, intuitive diagrams, and hands-on SQL exercises.

Comprehensive series on the OHDSI (Observational Health Data Sciences and Informatics) ecosystem and OMOP Common Data Model — from platform overview, Standardized Vocabularies (Athena), medical data ETL (WhiteRabbit, Rabbit-in-a-Hat, Usagi), OMOP CDM implementation on PostgreSQL, WebAPI and ATLAS installation, to clinical data analysis (Cohort Definitions, Characterization, Incidence Rates, Population-Level Estimation, Patient-Level Prediction), data quality assessment (ACHILLES, Data Quality Dashboard), HADES R packages for observational studies, and OHDSI stack deployment on Docker/Kubernetes for multicenter Network Studies.

In-depth series on Enterprise AI Chatbot Platform system architecture: multi-model gateway, RAG pipeline, agentic architecture (multi-agent orchestration, tool calling, planning & reflection), conversation memory, streaming & voice, guardrails & safety, multi-channel deployment, multi-tenant architecture, analytics & observability, evaluation & optimization, GPU infrastructure & model serving. Build an enterprise-level chatbot platform from A-Z, ready for production.

Comprehensive course on the HL7 FHIR (Fast Healthcare Interoperability Resources) data standard in healthcare — from theoretical foundation to practical implementation. Covers HL7 history (v2, v3, CDA), FHIR R5 architecture, Core Resources (Patient, Observation, Encounter, Medication, DiagnosticReport), RESTful API (CRUD, Search, Bundle, Transaction), Data Types, Terminologies (ICD-10, SNOMED CT, LOINC), Profiles & Extensions, SMART on FHIR, FHIR Subscriptions, building FHIR Server with FHIR HAPI (Java/Spring Boot), integration with EMR/HIS, Security & Privacy systems (HIPAA, GDPR), and practical applications in Vietnam (Circular 54/2017/TT-BYT, VNEID, Social Insurance). Updated to FHIR R5 (v5.0.0), the latest official version from HL7 International.

In-depth series on Fashion Design & Print-on-Demand (POD) system architecture: domain analysis, AI-powered design studio (Stable Diffusion, ControlNet, CLIP), product catalog & multi-channel e-commerce, order orchestration & fulfillment, supplier network routing, print production pipeline, AI recommendation & trend forecasting, data platform & ML pipeline, Kubernetes infrastructure, security & IP protection, Printful/Printify/Gelato case studies. From design ideas to products in customers' hands.

A comprehensive course on VyOS — a powerful open-source network operating system. From installation and basic configuration to firewall, VPN, advanced routing (BGP/OSPF), High Availability, VLANs, WireGuard, and real-world production deployment.

Comprehensive practical course on deploying Microservices on-premises systems using Kubernetes HA (High Availability), PostgreSQL HA with Patroni, Ceph/Rook storage, Istio Service Mesh, ArgoCD GitOps, Prometheus Observability Stack, HashiCorp Vault, RabbitMQ HA, Redis Cluster and many other production-grade technologies. From infrastructure design, cluster installation, microservices deployment to operations, DR and enterprise standard security. 50 lessons + practice labs on bare-metal/VM.

The HashiCorp Vault course is comprehensive from basic to advanced, helping you master Secret Management, Encryption as a Service, Dynamic Credentials and Identity-based Security. From installing and configuring Secrets Engines (KV, PKI, Transit, Database, AWS, SSH), Auth Methods (Token, Userpass, AppRole, LDAP, OIDC, Kubernetes), Policies, to advanced topics such as Integrated Storage (Raft), High Availability, Auto-unseal, Vault Agent, Vault Secrets Operator, Enterprise features (Namespaces, Sentinel, Replication, DR), monitoring and production operations. Updated to Vault 1.21.x (latest version 2026), including SPIFFE auth, MFA TOTP self-enrollment, KV v2 version attribution and enterprise security best practices.

The Keycloak course is comprehensive from basic to advanced, helping you master Identity and Access Management (IAM) from installing and configuring Realms, Users, Roles, Clients, to advanced modules such as Identity Brokering, User Federation (LDAP/AD), Authentication Flows, Authorization Services, Multi-Factor Authentication, Organizations, Workflows, Passkeys, and integrating with real applications. Updated to Keycloak 26.x (latest version 2026) running on Quarkus, including production operations, High Availability, Kubernetes Operators and enterprise security best practices.

Comprehensive course on Performance Testing and Penetration Testing according to enterprise standards 2026. From processes, tools, implementation to professional reports. Includes k6, Gatling, Artillery, Burp Suite, Nuclei, OWASP ZAP, Metasploit, Cloud/Kubernetes security testing, AI-powered testing, CVSS v4.0, PTES, OWASP Top 10, Chaos Engineering, SRE practices and compliance frameworks. Practical combat instructions with lab exercises and real-world scenarios.

Comprehensive Docker course from fundamentals to advanced level, helping you master container technology from the first concepts to real-world production deployment. Covers Dockerfile, Docker Compose, Networking, Storage, Security, CI/CD, Docker Swarm, Microservices and best practices for enterprise environments. Updated with Docker Engine 27+ and modern container technologies as of 2026.

Comprehensive basic to advanced Kubernetes course for 2026, helping you master container orchestration, deploy production-ready applications, and prepare for CKA/CKAD certification. Updated to Kubernetes 1.32+ with Gateway API, Cilium, OpenTelemetry, Helm 4, Sidecar containers GA, ValidatingAdmissionPolicy, and AI/ML workloads.

Nginx Master Course: From Zero to Hero is a comprehensive course that helps you master Nginx from the most fundamental concepts to advanced techniques in real-world production environments.

Learn how to deploy PostgreSQL High Availability cluster with Patroni and etcd. Practical course from A-Z: installation, configuration, automatic failover, monitoring and production operations. 29 lessons + detailed labs.

Comprehensive series on Full-Stack system design with Microservices Backend and Micro Frontend — from system separation thinking using Domain-Driven Design, API design (REST, GraphQL, gRPC), Data Architecture (Saga, CQRS, Event Sourcing), to Micro Frontend architecture (Module Federation, Shell App, Design System), BFF Pattern, API Gateway, Testing Strategies, CI/CD Pipeline, Observability full-stack and Production Readiness. Includes a practical case study of building an E-Commerce Platform and migration instructions from Monolith. Technology update 2026.

Step-by-step instructions for building a medical information system (HIS/EMR/LIS) with Microservices architecture using Quarkus, PostgreSQL and Keycloak. Compliant with HIPAA, HL7 FHIR, Zero Trust security standards. From architectural design, building services, decentralization, data encryption, audit logging to production deployment on Kubernetes. Each article has practical code, ready to be applied to hospitals and medical facilities.

In-depth course on designing and building a Notification system capable of sending millions of emails at once. You'll learn how to design an event-driven architecture with message queues, build high-performance email pipelines, handle rate limiting, retry, and dead letter queues, ensure deliverability with SPF/DKIM/DMARC, and deploy a production-ready system. Combine theory with hands-on practice using Kafka, Redis, PostgreSQL, Amazon SES, SendGrid. Suitable for Backend Engineers, System Architects who want to solve the problem of sending large-scale emails in practice.

Comprehensive series on Cloud Native Microservices architecture — from container platforms, Kubernetes, microservices design principles (DDD, Bounded Context), communication models (REST, gRPC, Event-Driven), to Data Management (CQRS, Saga, Event Sourcing), Service Mesh, Observability, Resiliency Patterns, CI/CD GitOps and Security. Combine solid theory with practical architecture for production systems.

Comprehensive course on modern Data Platform architecture from Data Lakehouse to Data Mesh. Includes ETL/ELT Pipeline with Airflow & dbt, Stream Processing with Kafka & Flink, Data Governance & Cataloging, Data Quality Framework, Semantic Layer, and Real-time Analytics. Design an enterprise-grade data platform serving BI, ML, and data-driven decisions. Case studies: Uber, Netflix, Airbnb. Updated 2026.

Comprehensive course on EdTech architecture and Learning Management System (LMS) Platform. Includes Course Management, Video Delivery (HLS/DASH), Assessment Engine, Gamification, Adaptive Learning, Real-time Collaboration, Learning Analytics, and Content Authoring Tools. Designing service systems from EdTech startups to enterprise training platforms. Case studies: Coursera, Udemy, Duolingo. Updated 2026.

In-depth course on Event-Driven Microservices Architecture. Includes Apache Kafka & Pulsar, Saga Pattern, CQRS & Event Sourcing, Outbox Pattern, Exactly-once Semantics, Schema Registry, Dead Letter Queue, and Choreography vs Orchestration. Design an event-driven production-ready microservices system with consistency guarantees. Case studies: Uber, Wix, Booking.com. Updated 2026.

Comprehensive course on FinTech and Payment Platform system architecture from basic to advanced. Including Payment Gateway, Digital Wallet, Double-Entry Ledger System, Fraud Detection, AML/KYC Pipeline, Core Banking Architecture, Lending Platform. Practical integration with VNPay, MoMo, ZaloPay, Stripe. Compliant with PCI-DSS, PSD2 and State Bank of Vietnam regulations. Case studies from leading payment systems in the world and Vietnam. Updated according to FinTech trends 2026.

Comprehensive course on Multi-tenant SaaS Platform architecture from basic to production-ready. Includes Tenant Isolation Strategies, Subscription & Billing Engine, Plugin/Extension Architecture, White-labeling, Onboarding Automation, Feature Flags, Usage Metering, and Self-service Admin Portal. Design a SaaS system that meets thousands of tenants at optimal costs. Case studies from Slack, Notion, Atlassian and leading SaaS platforms. Updated 2026.

Comprehensive course on Platform Engineering and Internal Developer Portal (IDP). Includes Backstage, Service Catalog, Golden Paths, Self-service Infrastructure, Developer Experience (DX), CI/CD Platform, Environment Management, and Internal Tools. Platform design helps developers self-serve infrastructure, increase developer productivity, and reduce cognitive load. Case studies: Spotify (Backstage), Netflix, Airbnb. Updated 2026.

Comprehensive course on Real-time architecture and IoT Platform. Includes MQTT Protocol, Edge Computing, Digital Twin, Time-Series Database (TimescaleDB, InfluxDB), Stream Processing, Device Management, OTA Updates, Real-time Monitoring Dashboard. Applications in Smart Factory, Smart Building, Connected Vehicles, and Agriculture IoT. Practical case studies from AWS IoT, Azure IoT, and Industrial IoT systems. Updated 2026.

The System Architecture course is comprehensive from basic to advanced, helping you master how to design large-scale systems. Includes fundamental knowledge of Scalability, Availability, Consistency, architectural patterns such as Microservices, Event-Driven, CQRS, along with infrastructure components such as Load Balancer, CDN, Caching, Message Queues, Database Scaling. The course combines theory with real-life case studies from Netflix, Uber, Twitter and other large systems. Updated according to modern architectural trends 2026.

A hands-on series on building a complete Microservices system with Quarkus 3.x — the "Supersonic Subatomic" Java framework designed specifically for Cloud Native and Kubernetes. Using PostgreSQL as main database, Keycloak for Authentication & Authorization (OIDC), Apache Kafka for Event-Driven Communication, gRPC for high-performance inter-service. From creating your first project with Dev Services, building a REST API with Panache, to deploying production on Kubernetes with GraalVM Native Image. Includes Fault Tolerance, OpenTelemetry Observability, Contract Testing, CI/CD Pipeline and Production Readiness Checklist. Actual project: E-Commerce Platform system includes 5 microservices.

Comprehensive Django course from basic to advanced, helping you master the most powerful full-stack Python framework. Includes Django ORM, Django REST Framework, Class-Based Views, Authentication, Celery, Channels (WebSockets), Testing, Docker and Production deployment. Updated to Django 5.2+ and Python 3.12+ with the latest 2026 best practices.

Flutter and Dart courses are comprehensive from basic to advanced, helping you build professional cross-platform mobile applications. Includes Dart fundamentals, Widget tree, State Management (Riverpod/Bloc), Navigation, Firebase, REST API, Local Storage, Testing, CI/CD and publishing to App Store/Google Play. Updated to Flutter 3.27+ and Dart 3.6+ with the latest 2026 best practices.

Comprehensive Golang course from basic to advanced, helping you master the Go language and build high-performance backends. Includes Go fundamentals, Goroutines, Channels, Gin/Fiber framework, GORM, gRPC, Microservices, Testing, Docker and Production deployment. Updated to Go 1.23+ with generics, iterators and the latest 2026 best practices.

The Laravel course is comprehensive from basic to advanced, helping you master the world's most popular PHP framework. Includes Eloquent ORM, Blade Templates, Laravel API (Sanctum/Passport), Queues, Events, Broadcasting, Livewire, Testing, Docker and Production deployment. Updated to Laravel 12+ and PHP 8.4+ with the latest 2026 best practices.

The Node.js Core course is comprehensive from basic to advanced, helping you deeply understand the Node.js runtime regardless of the framework. Including Event Loop, Streams, Worker Threads, Cluster, HTTP/2, Crypto, File System, Child Processes, Native Modules, Performance Profiling. Updated to Node.js 22 LTS with the latest 2026 best practices.

The Python FastAPI course is comprehensive from basic to advanced, helping you master the most modern Python framework for Backend API. Includes Python fundamentals, Pydantic, async/await, SQLAlchemy, Alembic, Authentication, Authorization, OAuth2, WebSockets, Background Tasks, Testing, Docker and Production deployment. Updated to FastAPI 0.115+ and Python 3.12+ with the latest 2026 best practices.

Comprehensive React and Next.js course from basic to advanced. Includes React 19+, Server Components, Server Actions, App Router, TypeScript, Zustand/TanStack Query, Tailwind CSS, Authentication, Testing, Vercel deployment. Updated to Next.js 15+ with the latest 2026 best practices.

Comprehensive Rust course from basics to advanced, helping you master the safest and most performant programming language. Includes Ownership, Borrowing, Lifetimes, Traits, Async/Await, Actix-web/Axum, SQLx, gRPC, WebAssembly, Testing and Production deployment. Updated to Rust 2024 edition with the latest 2026 best practices.

Comprehensive course on Vibe Coding with GitHub Copilot — from basic concepts to advanced techniques. Learn how to leverage AI Agent, Inline Suggestions, Custom Instructions, MCP Servers, Copilot CLI, and Copilot Coding Agent to accelerate software development. Includes Prompt Engineering for code, security best practices, handling technical debt, building full-stack apps, and professional Vibe Coding processes for production. Updated according to GitHub Copilot 2026 with Agent Mode, Plan Agent, Cloud Agent and the latest features.

Comprehensive Vue.js and Nuxt course from basic to advanced. Includes Vue 3 Composition API, Reactivity System, Pinia, Vue Router, Nuxt 3, Server-Side Rendering, TypeScript, Testing, Deployment. Updated to Vue 3.5+ and Nuxt 3.14+ with the latest 2026 best practices.

The NestJS course is comprehensive from basic to advanced, helping you master the most modern Node.js framework for the backend. Includes TypeScript, Dependency Injection, Modules, Controllers, Providers, TypeORM, Prisma, Authentication, Authorization, Guards, Interceptors, Pipes, WebSockets, GraphQL, Microservices, Testing, Docker and Production deployment. Updated according to NestJS 11+ and the latest 2026 best practices.

Comprehensive course on Spring Boot 4.x from basic to advanced, helping you build professional backend applications with REST APIs, Spring Data JPA, Spring Security, JWT, OAuth2, microservices, testing, Docker and deployment in production environments. Update Spring Boot 4.0 with Spring Framework 7, Virtual Threads, GraalVM Native Image.