What is the price of the Training Chroma - Mastering Vector Basics for AI training?

The price of the Training Chroma - Mastering Vector Basics for AI training is 5250€ HT. This includes access to all modules, training materials and personalized support. Funding solutions are available through OPCO.

Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

What is the duration of the Training Chroma - Mastering Vector Basics for AI training?

The Training Chroma - Mastering Vector Basics for AI training takes place over 5 journées. The program is structured in progressive modules for optimal skill development.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Chroma - Mastering Vector Basics for AI training are: Proficiency in Python, basic knowledge of vector embeddings and LLMs such as OpenAI. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Chroma - Mastering Vector Basics for AI training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Chroma - Mastering Vector Basics for AI | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training Chroma - Mastering Vector Basics for AI training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training Chroma - Mastering Vector Basics for AI training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Chroma - Mastering Vector Basics for AI training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training access terms and deadlines

Training objectives

Master the installation and configuration of Chroma for professional projects

Develop optimized vector collections with advanced embeddings

Implement performant RAG pipelines in enterprise settings with Chroma

Optimize queries and scalability of Chroma in production

Integrate Chroma into LLM applications for augmented retrieval

Design certified hybrid Chroma-LangChain architectures

Training program

Module 1Chroma Fundamentals: Installation and First Embeddings (Python, Docker)

Quick installation of Chroma locally and persistent server via Docker, hands-on with the Python API to create collections and add documents, generation of embeddings with HuggingFace or OpenAI models, practical exercises on real company datasets, first vector similarity tests, production of a basic index with metadata, initial performance validation for professional projects.

Module 2Advanced Chroma Collections: Management and Querying (Filters, Scoring)

In-depth exploration of Chroma collections for bulk upserts and dynamic updates, implementation of hybrid queries with metadata filters and cosine scoring, integration of batching to scale on large volumes, real enterprise cases such as semantic search in e-commerce, exercises on memory optimization and persistence, creation of a simple RAG prototype, measurement of precision and recall to validate professional skills.

Module 3RAG Pipelines with Chroma: LangChain Integration (Chains, Agents)

Building complete RAG pipelines connecting Chroma to LangChain and LLMs, development of custom retrievers with post-processing, chaining of prompts for contextualized responses, testing on business use cases such as AI customer support, collaborative pair exercises on the ongoing project, advanced debugging of hallucinations, production of deployable deliverables to demonstrate enterprise value.

Module 4Chroma Optimization: Performance and Scalability (Indexing, Monitoring)

Optimization techniques for Chroma indexes to achieve sub-second latency, HNSW configuration for fast ANN search, monitoring with Prometheus and structured logs, horizontal scaling via Kubernetes, practical workshops on real enterprise bottlenecks, A/B testing of configurations, generation of performance reports, preparation for professional vector skills certification.

Module 5Production Deployment of Chroma: Security and Integrations (API, Cloud)

Secure deployment of Chroma in AWS/GCP cloud with API key authentication, advanced integrations with FastAPI and Streamlit for full-stack apps, management of backups and migrations, security best practices against vector injections, final project on a real enterprise case with code review, certification quiz and post-training plan, acquisition of immediately deployable production skills.