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.
Learning objectives
- Master the fundamentals of LlamaIndex in a professional context
- Develop skills in data indexing for AI
- Design RAG solutions with LlamaIndex for the enterprise
- Implement high-performance indexing workflows
- Optimize search performance with Prompt Engineering
- Configure certifying LlamaIndex environments
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
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.
Program
Module 1Theme: Introduction to LlamaIndex for novices (Python, installation, first indexes)
Participants discover LlamaIndex through hands-on training. They install the environment, load simple documents, and create their first vector indexes. Practical exercises help them understand the basics of AI indexing while working with real enterprise cases.
Module 2Theme: LlamaIndex and data loading (connectors, parsing, deliverables)
This day dives deeper into LlamaIndex connectors for importing various formats. Learners process PDF and CSV files, apply custom parsers, and generate optimized indexes. Professional use cases illustrate how to structure data for AI projects.
Module 3Theme: Queries and retrieval with LlamaIndex (methods, tuning, results)
Professionals learn to formulate effective queries in LlamaIndex. They explore retrieval strategies, adjust similarity parameters, and analyze results. Hands-on workshops on enterprise datasets strengthen semantic search skills.
Module 4Theme: LlamaIndex and RAG integration (workflows, models, prototypes)
The training covers building RAG systems with LlamaIndex. Participants combine indexing and augmented generation, integrate LLM models, and test complete prototypes. Practical exercises demonstrate how to deploy high-performance AI solutions in the enterprise.
Module 5Theme: Optimization and deployment of LlamaIndex (Prompt Engineering, scaling, certification)
The final day covers advanced optimization with LlamaIndex. Learners apply Prompt Engineering, scale their indexes, and prepare a final deliverable. A synthesis project validates the acquired skills for a recognized professional certification.
Evaluation method
- Daily quizzes on LlamaIndex concepts
- Final project to create a RAG index
- Self-assessment of acquired skills
Learning method
- Guided practical exercises each day
- Real-world enterprise use cases
- Personalized trainer feedback
- Additional online resources
Methods, materials and delivery
The Training LlamaIndex 2026 - Mastering AI Indexing program is delivered onsite or remote (blended-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 LlamaIndex 2026 - Mastering AI Indexing 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 LlamaIndex 2026 - Mastering AI Indexing 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
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
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.
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.
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.
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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FAQ
Frequently asked questions
How much does the Training LlamaIndex 2026 - Mastering AI Indexing training cost?+
The individual price is $5,775 (USD). A detailed quote is sent within one business day.
How long is the Training LlamaIndex 2026 - Mastering AI Indexing training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Basic knowledge of Python and familiarity with structured data concepts
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
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