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Training Gemma - Deploying Generative AI in the Enterprise

Ref: PYO843
10 people max.
From $7,350 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Master the Gemma architecture for professional, certified implementations
  • Develop skills in advanced fine-tuning of Gemma in enterprise settings
  • Optimize Gemma model performance for scalable deployments
  • Implement RAG pipelines with Gemma for business applications
  • Design autonomous AI agents based on Gemma
  • Evaluate and secure Gemma solutions in production
  • Deploy Gemma on cloud and edge infrastructures

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.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Gemma Architecture: Dissecting the Model and Initial Fine-Tuning (PyTorch, Hugging Face)

Dive into the deep architecture of Gemma 2B and 7B, analysis of attention layers and advanced tokenization mechanisms, setting up PyTorch and Hugging Face Transformers environments to load pre-trained weights, first fine-tuning exercises on customized enterprise datasets, production of a basic model adapted to a concrete business case with integrated evaluation metrics, immediate feedback to accelerate your professional skills.

Module 2Expert Gemma Fine-Tuning: LoRA, QLoRA, and Memory Optimization (PEFT, bitsandbytes)

Master LoRA and QLoRA techniques to fine-tune Gemma on limited hardware, implementation with the PEFT and bitsandbytes libraries to reduce VRAM usage by up to 70%, practical exercises on multilingual and sector-specific datasets such as finance or healthcare, generation of high-performing customized models, comparison of perplexity and BLEU metrics on your own use cases, preparation of production-ready deliverables to enhance your certified skills.

Module 3RAG Pipelines with Gemma: Retrieval and Augmented Generation (LangChain, FAISS)

Build advanced RAG pipelines integrating Gemma as the primary generator, implement vector stores with FAISS and hybrid embeddings, connect to enterprise knowledge bases via LangChain, practical tests on complex queries with grounding for increased reliability, optimization of latency for real-time applications, development of a complete RAG prototype on your capstone project, demonstration of up to 40% precision gains to boost professional efficiency.

Module 4Gemma AI Agents and Multimodal: Orchestration and Tools (AutoGen, LlamaIndex)

Develop autonomous agents based on Gemma using AutoGen and LlamaIndex frameworks for multi-step tasks, integration of vision and audio via multimodal extensions, exercises on enterprise scenarios such as document analysis or intelligent chatbots, error handling and reasoning loops, deployment of a collaborative agent swarm on real cases, ROI evaluation via automated workflow simulations, acquisition of skills to transform your business processes.

Module 5Gemma Deployment and Security: Secure Production (Docker, ONNX, Guardrails)

Prepare Gemma deployment in production with Docker containerization and ONNX export for fast inference, securing against jailbreaks and biases via Guardrails AI, monitoring with Prometheus and scaling on Kubernetes, exercises on AWS/GCP cloud infrastructures, full audit of your capstone project with load testing, professional documentation and maintenance plan, conclusion with certification of acquired skills for immediate enterprise implementation.

Evaluation method

  • Expert multiple-choice quiz on LLM architectures and fine-tuning
  • Practical assessment via Gemma capstone project
  • Oral defense of secure deployment before experts

Learning method

  • Training by certified generative AI instructors
  • Hands-on exercises on real business cases with Gemma
  • Evolving capstone project over 5 days
  • Digital learning support and provided source code

Methods, materials and delivery

The Training Gemma - Deploying Generative AI in the Enterprise 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 Gemma - Deploying Generative AI in the Enterprise 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 Gemma - Deploying Generative AI in the Enterprise 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.

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.

FAQ

Frequently asked questions

How much does the Training Gemma - Deploying Generative AI in the Enterprise training cost?+
The individual price is $7,350 (USD). A detailed quote is sent within one business day.
How long is the Training Gemma - Deploying Generative AI in the Enterprise 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?+
Expertise in Python, PyTorch, fine-tuning transformers, and managing large datasets
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

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