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Learn to apply AI in web projects: machine learning, NLP, computer vision, the AI pipeline and model selection, plus a Python movie recommendation system.
Explore DeepSeek's open-source architecture — Mixture of Experts, memory-efficient attention, model distillation — and craft structured prompts for its R-series and V-series models.
Learn to structure digital content: information-seeking models, navigation and wayfinding principles, polyhierarchies, metadata, and exact versus ambiguous organization schemes.
Set up Unreal Engine 5 projects for open world creation: import assets from Quixel Bridge, Megascans, and Fab, optimize static meshes, and apply naming conventions.
Plan information architecture from research: run card sorting, tree testing and content audits, build classification systems with metadata and controlled vocabularies, then label and map structures.
Enforce Kubernetes policies with Open Policy Agent and Gatekeeper, secure runtimes using KubeArmor, back up workloads with Velero, monitor clusters with Prometheus, and deploy applications on Istio.
Build Industrial IoT solutions on AWS and Azure: IoT Core, Greengrass, IoT Edge, Stream Analytics, plus predictive analytics, digital twins with PyTorch, and cloud model deployment.
Analyze customer sentiment from social media, predict behavior with random forests and neural networks, build recommendation systems, and segment customers using K-means clustering.
Deploy, evaluate, and scale production LLM systems: build coding agents with LangChain, benchmark agent output, and ship with Ray Serve, Docker, and Kubernetes observability.
Design Industrial IoT platforms with Python, InfluxDB, Node-RED, Airflow and Neo4j: handle time-series data, OPC UA protocols, and deploy analytics and digital twins.
Secure Kubernetes clusters in enterprise environments by integrating OpenID Connect authentication, auditing RBAC policies, managing secrets, building multitenant vClusters, and deploying a hardened Kubernetes Dashboard.
Apply machine learning to marketing data by preparing datasets, analyzing KPIs such as CPA and ROI, running regression and decision tree models, and forecasting with ARIMA and Prophet.
Build modular AI applications with LangChain: configure API keys, prompts, chains, and memory, compare open- and closed-source LLMs, and design LangGraph workflows with checkpointing.
Trace industrial data from sensors and actuators through PLCs, SCADA, MES and ERP, apply OPC Classic and OPC UA, and secure networks with firewalls and segmentation.
Build and manage enterprise Kubernetes clusters: run Docker containers, deploy multi-node KinD clusters, configure services, load balancing, network policies, CoreDNS with ETCD, and ExternalDNS.
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