Cloud Computing Fundamentals
Core concepts, service models, deployment models and cloud economics.
Training Courses
A structured course catalog for cloud system learners, certified teachers, partner institutions and enterprise training programs.
Cloud System Architecture
Architecture patterns, reliability, observability and governance.
Cloud Native & Kubernetes
Containers, Kubernetes, service mesh, serverless and platform engineering.
DevOps & SRE
Automation, CI/CD, incident response, capacity and reliability practices.
Cloud Security
Identity, network security, compliance, secrets, risk and cloud security operations.
AI Cloud Platform
AI infrastructure, GPU clusters, model serving and intelligent platform operations.
Enterprise Cloud Migration
Migration planning, workload assessment, hybrid cloud and modernization.
Data Center & Virtualization
Virtualization, storage, networking and data center operation foundations.
AI Role Courses
AI industry
AI Scientist / Chief Scientist
Top-tier PhD with strong mathematical foundations; track record of top-conference papers and patents; sets technical strategy and drives foundational AI breakthroughs.
AI-LLM Algorithm / Training Engineer
Proficient in PyTorch/TensorFlow; distributed training, Mixture-of-Experts (MoE), RLHF, and CUDA kernel-level optimization.
AI-Machine Learning Research Scientist
Publishes peer-reviewed papers and files patents; focuses on theoretical innovation rather than applied engineering.
AI-Multimodal Algorithm Engineer
Builds cross-modal models, such as CLIP-style architectures, that fuse image, text and speech understanding.
AI-Computer Vision Engineer
Object detection, image segmentation, pose estimation and 3D reconstruction; OpenCV and PyTorch Vision.
AI-NLP Engineer
Language modeling and text processing; Hugging Face ecosystem; embeddings and vector-based retrieval.
AI-Machine Learning Engineer / AI Engineer
Python, ML frameworks, SQL/NoSQL, feature engineering; MLOps fundamentals including CI/CD, Docker, Kubernetes and cloud platforms.
AI-LLM Application Development Engineer
Full-stack delivery with Vue/React/Next.js, FastAPI/Flask/Django, vector databases, RAG pipelines, LangChain/LlamaIndex and inference optimization.
AI-MLOps / LLMOps Engineer
Kubernetes, Docker, CI/CD pipelines; model versioning with MLflow, A/B testing frameworks and feature stores.
AI Deployment / Edge Deployment Engineer
Docker/Kubernetes containerization; lightweight on-premise and edge-device model deployment for offline-capable systems.
AI-Generative AI Infrastructure Engineer
Designs and maintains high-performance computing clusters for foundation-model training; GPU allocation, memory bandwidth and inference latency optimization.
AI Test / QA Engineer
Automated test-case generation, model evaluation metrics and red-teaming for AI systems.
AI-Prompt Engineer
Prompting frameworks such as CRISP and RACE, chain-of-thought and few-shot techniques; working knowledge of GPT, Claude, Gemini and domain-specific prompting.
AI Trainer / Data Annotator
Feeds and labels training data, tunes prompts and reviews model outputs; no specific academic background required.
AI Agent Developer / Architect
Understands agentic systems versus single-model API applications; production-grade agent deployment and multi-agent workflow orchestration.
AI-Fine-Tuning Engineer
Lightweight fine-tuning techniques such as LoRA and DeepSpeed to adapt foundation models to specific tasks.
AI-AIGC Content Creator / Technical Artist
Proficiency with Stable Diffusion, Blender and similar tools; virtual-human design and motion-capture pipelines.
AI Product Manager
Understands model capability boundaries, training pipelines and evaluation methods; judges which tasks are AI-suited.
AI-Industry Solutions Architect
Deep familiarity with industry-specific core systems such as manufacturing MES or healthcare HIS plus hands-on project delivery experience.
AI-Industry + AI Specialist
Combines domain experience in areas such as healthcare, finance or manufacturing with applied AI tool fluency to solve real business problems.
AI Solutions Consultant
Broad knowledge of LLMs, MLOps and computer vision; typically 8+ years of experience; advisory-oriented client-facing role.
AI Security Engineer
Defends against adversarial attacks, prompt injection and model poisoning; builds guardrails around deployed models.
AI-Algorithm Auditor
Proficient with confusion matrices and other evaluation tools; detects and helps correct algorithmic bias.
AI Ethics / Governance Officer
Legal, policy or ethics background; understands regulatory frameworks such as the EU AI Act; conducts bias audits, compliance review and explainability analysis.
AI-Embodied AI / Humanoid Robotics Engineer
Industrial and service robots; visual perception, motion control and decision optimization; combined hardware and software skill set.
AI-Autonomous Driving Algorithm Engineer
Multimodal perception, path planning and decision-making algorithms for self-driving systems.
AI-Data Center Operations Engineer
Server, network and storage hardware installation and troubleshooting; Windows Server and Linux administration; 24/7 shift rotation; low/high-voltage electrical work certificate often preferred.
AI-IT Infrastructure Engineer
Installation, configuration and troubleshooting of servers, switches, routers and firewalls; virtualization with VMware/KVM; data center power, precision cooling and fire-suppression systems.
AI-GPU Cluster / Compute Platform Operations Engineer
Design and operation of high-performance GPU clusters and AI/cloud platform architecture; network topology planning and hardware fault diagnosis.
AI Platform Operations Engineer
Operating AI platforms on dedicated hardware; writing deployment runbooks; continuous improvement of inspection routines; standardized issue troubleshooting.
AI-Cloud-Native / Container Operations Engineer
Kubernetes cluster management with Operators and service mesh, Helm packaging and GPU server tuning; typically manages 50+ node clusters.
AI-AIOps Engineer
Prometheus + Thanos monitoring stack; applying machine learning to operations, including LSTM-based forecasting, anomaly detection and log clustering.
AI Operations Development Engineer
Docker/Kubernetes operations, monitoring and alerting; Nginx/Keepalived maintenance and tuning; Shell/Python scripting for automation.
AI-Industrial Robot Commissioning Engineer
On-site installation, commissioning and program optimization for industrial robots and automation equipment; teach-programming, path planning, fixture integration and signal coordination.
AI-Service Robot Commissioning / Maintenance Engineer
Field commissioning and maintenance of service robots; service-robot commissioning and maintenance responsibilities aligned with national occupational standards.
AI-Robot Field Installation / After-Sales Engineer
On-site installation, commissioning and repair of robotic equipment; after-sales technical support and customer issue resolution.
AI-Machine Vision / 3D Vision Commissioning Engineer
On-site installation and commissioning of robot and 3D vision systems; background in image processing, automation, mechanical or electrical engineering.
AI-Humanoid Robot Hardware Commissioning Engineer
Hardware performance testing and fault diagnosis using debugging equipment and test instruments; working knowledge of C/C++, ROS and Linux.
AI-IoT Implementation Engineer
On-site hardware installation and hardware/software system commissioning for IoT project deployments.
AI-IoT Operations Engineer
Operations and maintenance of IoT hardware terminals and the associated software platform.
AI-Smart Terminal Development Engineer
Hardware/software development for smart terminal devices and end-to-end project delivery.
AI-Embedded Hardware / Systems Engineer
Embedded hardware and software design; circuit and interface design for ARM/MCU platforms; RTOS driver development; optimization for low power and limited memory.
The course system is prepared for multiple teaching formats.
Phase one makes the catalog and route structure visible. Learning records, video delivery and payments can be connected as independent modules.
- Video courses
- Live courses
- Article lessons
- Assignments
- Course material downloads
- Learning progress
- Course reviews
- Completion exams
Courses connect learners, teachers and institutions.
The same catalog can later support individual enrollment, teacher publishing, institution group registration and certification exam preparation.
- Learner enrollment
- Teacher course publishing
- Institution course operation
- Enterprise training programs
Phase 3 Course System
Course catalog
Published courses can now be managed from the admin console and enrolled from the public website.
Cloud Computing Fundamentals
A foundation course for learners entering cloud computing and cloud system certification.
FOUNDATION · ONLINE · 24 hours
USD 199.00
View courseKubernetes Platform Operations
A practical operations course for Kubernetes and cloud-native platform teams.
ENGINEER · HYBRID · 36 hours
USD 399.00
View courseAI Infrastructure Operations
GPU cluster, model-serving and AI platform operations for enterprise teams.
ENGINEER · ONLINE · 40 hours
USD 499.00
View courseCloud Security Foundation
Security fundamentals for cloud identity, network, compliance and operational risk.
SPECIALIST · ONLINE · 30 hours
USD 299.00
View course