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Training Chroma 2026 - Deploying Scalable RAGs in AI

Ref: CKX749
10 people max.
4900€ 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
4 journées
distanciel

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Learning objectives

  • Master Chroma 2026 for managing vector collections in professional production environments
  • Develop advanced RAG pipelines with Chroma 2026 and enterprise LLMs
  • Optimize scalable vector queries in certified Chroma 2026 environments
  • Implement persistence and hybrid search with Chroma 2026
  • Design Chroma 2026 architectures integrated with Kubernetes and cloud platforms
  • Deploy secure AI applications boosting team competencies
  • Evaluate Chroma 2026 performance for tangible training ROI

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 1Chroma 2026 Fundamentals: Installation and Vector Collections (embeddings, indexing, queries)

Dive into the quick installation of Chroma 2026 via Docker and pip, create your first persistent collections with OpenAI or Hugging Face embeddings, test hybrid knn + full-text queries on real enterprise datasets, perform practical exercises to index 100k vectors in minutes, produce initial performance reports, and set up secure dev environments, transforming your skills into immediate assets for scalable AI projects.

Module 2Advanced Chroma 2026 RAG Pipelines: LLM Integration and Chaining (LangChain, LlamaIndex, tools)

Build end-to-end RAG pipelines with Chroma 2026 and LangChain, integrate retrieval grounding for reliable responses on internal documents, chain multi-collection retrievers with Cohere reranking, apply to concrete cases like enterprise Q&A chatbots, generate observability traces via LangSmith, deploy functional prototypes tested live, valuing every training hour with production-ready deliverables and boosting AI team productivity.

Module 3Chroma 2026 Optimization: Scaling, Tuning, and Hybridization (sharding, GPU acceleration, metrics)

Optimize Chroma 2026 for massive loads via distributed sharding and GPU-accelerated HNSW, tune indexes for latency under 50ms on millions of vectors, hybridize with Pinecone or Elasticsearch for robust fallback, measure recall/precision via RAGAS on custom benchmarks, apply refactoring to red thread projects, produce Grafana monitoring dashboards, ensuring training ROI through 5x performance gains and certified professional AI optimization skills.

Module 4Production Deployment of Chroma 2026: Security, Monitoring, and CI/CD (Helm, Terraform, observability)

Deploy Chroma 2026 in Kubernetes with secure RBAC and TLS Helm charts, integrate GitHub Actions CI/CD for zero-downtime updates, configure Prometheus + Alertmanager monitoring on queries/sec metrics, test resilience with chaos engineering, migrate legacy data to HA clusters, finalize capstone project with full security audit, gaining a concrete portfolio for AI career and immediate enterprise value through transformative certified training.

Evaluation method

  • Advanced multiple-choice quiz on Chroma 2026 architectures at session end
  • Practical evaluation through optimization of personal RAG pipelines
  • Defense of red thread project: deployed RAG with business metrics

Learning method

  • Sessions led by Chroma 2026 experts on enterprise assignments
  • Intensive hands-on labs on real GenAI cases with open-source code
  • Progressive red thread project from collection to full-stack deployment
  • Digital training materials + unlimited video replays

Methods, materials and delivery

The Training Chroma 2026 - Deploying Scalable RAGs in AI 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 Chroma 2026 - Deploying Scalable RAGs in AI 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 Chroma 2026 - Deploying Scalable RAGs in AI 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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« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

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

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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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