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Training Milvus - Mastering the Vector DB for AI Home Automation

Ref: UCX670
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master the expert architecture of Milvus to scale vector searches in professional home automation
  • Develop advanced indexing skills to optimize certifying Smart Home systems
  • Design massive ingestion pipelines tailored to enterprise IoT data
  • Implement hybrid Milvus queries for real-time home automation responsiveness
  • Optimize Kubernetes deployments of Milvus in critical home automation environments
  • Deploy vector AI use cases for voice and visual recognition in Smart Home

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Milvus Architecture: Expert Installation and Cluster Configuration (Docker, Kubernetes)

Discover the distributed architecture of Milvus through practical workshops on Docker and Kubernetes, configure proxy, data, and query nodes to scale to millions of vectors, test high availability with home automation failover scenarios, generate your first embeddings with Milvus Python SDK, validate performance on real IoT datasets for an immersive professional training.

Module 2Milvus Indexing: Advanced HNSW, IVF, and PQ Strategies (Memory Optimization)

Dive into Milvus HNSW and IVF_PQ indexes, implement hybrid indexing strategies for fast ANN searches in home automation, measure precision and recall on Smart Home benchmarks, optimize PQ compression to reduce memory by 70% without performance loss, apply to concrete cases like IoT anomaly detection, produce personalized tuning reports.

Module 3Milvus Ingestion: Massive ETL Pipelines with Kafka and Pulsar (IoT Data)

Build scalable ingestion pipelines with Kafka or Pulsar to Milvus, integrate PyTorch embedding generators for real-time home automation IoT streams, manage massive batches and dynamic schemas, simulate peaks of 10k vectors/second, debug bottlenecks, deploy an end-to-end prototype for certifying Smart Home monitoring.

Module 4Milvus Queries: Hybrid Scalar-Vector Queries and Filtering (Zilliz Cloud)

Master advanced Milvus queries combining vectors and metadata, implement boolean filters for precise home automation searches, explore rerankers to boost relevance in Home Assistant, benchmark on Zilliz Cloud for hybridity, integrate with KNX via REST/gRPC APIs, generate query monitoring dashboards for enterprise optimization.

Module 5Milvus Deployment: Expert K8s Orchestration, Monitoring, and Home Automation Cases (KNX AI)

Deploy Milvus in production Kubernetes with advanced Helm charts, configure Prometheus and Grafana for real-time monitoring, integrate with KNX and Home Assistant ecosystems via AI vector search, complete a final project on multimodal Smart Home recognition, audit security and resilience, obtain skills certification with concrete deliverables.

Evaluation method

  • Daily technical quizzes on Milvus architectures and indexing
  • Final project: AI vector home automation pipeline deployed in a cluster
  • Personalized case study with performance audit and expert report

Learning method

  • 80% hands-on practice with real code and home automation IoT datasets
  • Method based on concrete projects inspired by professional Smart Home
  • Individual mentoring by certified Milvus and KNX experts
  • Unlimited access to post-training resources (code, docs, forums)

Methods, materials and delivery

The Training Milvus - Mastering the Vector DB for AI Home Automation program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Milvus - Mastering the Vector DB for AI Home Automation program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Milvus - Mastering the Vector DB for AI Home Automation program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

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TomFormation AWS — Cloud Practitioner
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Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
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« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
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AmbreDWWM - Développement Web & Mobile React
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« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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