Training: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects

On quote$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: WSO490
8 people max.
On quote$3,465
In-company rate: on quotefrom $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without LlamaIndex mastery, integrating Large Language Models into your projects generates imprecise retrievals and critical hallucinations, blocking all scalability.

  • Companies lose an average of 120 000 € per failed AI project, with 65 % of LLM implementations failing due to lack of optimized indexing, multiplying timelines by 2,5.

  • Your team wastes 40 % of its time on unnecessary debugging, exposing the company to 25 % competitiveness losses in the AI market.

  • Every quarter without expertise heightens the risks, leaving your competitors to dominate with smooth and profitable solutions.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

25,729 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

  • OpenAI
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  • Microsoft Dynamics 365
  • Salesforce
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  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Learning objectives

  • Understand the fundamental concepts behind LlamaIndex
  • Install and configure LlamaIndex in a Python environment
  • Index different types of data (documents, databases, structured files)
  • Leverage LlamaIndex to optimize searches and interactions with language models such as Llama, GPT-4, etc.
  • Develop and deploy a project integrating an LLM with LlamaIndex
  • Ensure maintenance, scalability, and security of indexes
  • Analyze performance and improve the relevance of results

Program

Module 1LlamaIndex Fundamentals and Environment Setup

Introduction to the LlamaIndex project: context, challenges, use cases. Installation of dependencies. Getting started with the Python environment and API access management. Overview of the typical LlamaIndex project workflow. Starting the example project.

Module 2Building the Index: Integrating Data Sources

Study of indexable data types (texts, PDFs, databases, websites). Import and parsing methods with LlamaIndex. Setting up the appropriate index structure. Practical exercises on indexing data from various sources (documents, web, SQL, etc.).

Module 3Advanced Retrieval, LLM Interactions, and Deployment

Exploration of search strategies on the index (keyword, semantic, hybrid). Connecting and using a language model (Llama, GPT-4, etc.) with LlamaIndex. Setting up an API or chatbot querying the index. Monitoring, security, user rights management. Best practices for maintenance and scaling to production.

Evaluation method

  • Multiple-choice quizzes and practical scenarios at the end of each day
  • Ongoing project integrating a use case with oral presentation

Learning method

  • Interactive presentations and live demonstrations
  • Hands-on exercises on collaborative notebooks
  • Real-world case studies and adaptation to your business challenges
  • PDF course materials and source code provided to participants

Methods, materials and delivery

The Training: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects 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: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects 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: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects 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.

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.

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.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

Frequently asked questions

What can participants do after Training: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects training?+
They can understand the fundamental concepts behind LlamaIndex, install and configure LlamaIndex in a Python environment and index different types of data (documents, databases, structured files). Those are the stated objectives of the Training: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects program at Intermediate level, checked by the end-of-session assessment.
What does the Training: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects program cover, day by day?+
Day 1: LlamaIndex Fundamentals and Environment Setup. Day 2: Building the Index: Integrating Data Sources. Day 3: Advanced Retrieval, LLM Interactions, and Deployment. The Training: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects program runs over 3 days, delivered on site.
How is Training: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects training assessed?+
Assessment relies on multiple-choice quizzes and practical scenarios at the end of each day and ongoing project integrating a use case with oral presentation. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects program, which an L&D team can file as evidence.
How much does Training: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects training cost per participant?+
Training: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.
How long does Training: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects training take?+
3 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Training: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Training: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects training?+
Mastery of Python and basics in machine learning.
Is a certificate issued after Training: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Training: Mastering LlamaIndex: From Initiation to Integrating Large Language Models into Your Projects training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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