Streaming Inference Foundations
Master real-time AI inference architecture with streaming inference patterns, model serving configurations and latency optimisation techniques. This programme covers event-driven automation triggers, deployment zones and sandbox pipeline provisioning for teams new to production AI infrastructure. Learn honest latency expectations, GPU versus CPU trade-offs and observability fundamentals. Includes hands-on labs with Kafka and REST ingestion endpoints. From C$3,200/month per pipeline zone.
From C$3,200/month
Event-Driven Workflow Designer
Design neural workflows with our visual workflow designer — connecting data stream processing, transform stages and intelligent process automation triggers. Build event-driven ML pipelines that respond to business signals in real time. Covers webhook configuration, multi-step orchestration and exception handling protocols. Production performance depends on infrastructure capacity and data stream quality — we teach realistic operational practices, not guaranteed zero-latency claims.
From C$4,500/month
Production MLOps Deployment Track
Ship applied deep learning models to production with MLOps-ready deployment patterns, Kubernetes integration, model versioning and continuous learning workflows. Includes production cutover support methodology, rollback procedures and pipeline monitoring dashboards. Designed for DevOps teams and ML engineers coordinating with platform architects. Covers Grafana observability setup and honest uptime SLA expectations for your infrastructure.
From C$6,800/month
Real-Time Anomaly Detection Pipeline
Deploy streaming anomaly detection with applied machine learning models processing live data streams. Configure alert routing, workflow triggers and human-in-the-loop exception handling. Ideal for operational AI use cases in manufacturing, fintech and logistics. Results vary by data quality and model selection — we emphasise observability and iterative improvement over guaranteed detection rates.
From C$5,100/month
Multi-Model Orchestration Lab
Advanced multi-model orchestration for teams running several inference endpoints with intelligent routing, A/B model testing and flux pipeline branching. Covers model serving at scale, load balancing and Canadian data residency configuration for sensitive workloads on the McGill College corridor platform.
From C$7,400/month
Applied Automation Capstone
Capstone programme combining ingest, transform, infer, route and observe streams into a complete production automation platform deployment. Team-based project with architecture review, observability setup and production onboarding coaching. Certification acknowledges platform proficiency — not third-party regulatory approval.
C$2,950/person
NeuralFlux offers neural workflow automation programmes — not IT outsourcing or consulting-as-primary. Outcomes depend on infrastructure and operational practices.
Enrolment and cohort formats
Each NFX programme is available as an intensive four-day studio session or a six-week part-time cohort with weekly lab assignments. Corporate teams may book private cohorts with use cases drawn from their production context. Prerequisites are listed per programme — NFX-101 or equivalent streaming inference experience is required before intermediate tracks. Enrolment is confirmed upon signed agreement; cloud infrastructure costs during lab work are billed separately from programme fees.
All programmes include access to flux sandbox environments, observability dashboards and post-session documentation. Capstone participants receive dedicated architecture review and production cutover coaching. Contact [email protected] for cohort scheduling from our McGill College studio.