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Training Grok - Mastering AI for Enterprise Applications

Ref: AZM402
10 people max.
7000€ 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
5 journées
distanciel

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Learning objectives

  • Master the advanced Grok APIs to develop professional AI solutions
  • Develop intelligent Grok agents integrated into enterprises
  • Optimize prompts and fine-tuning for certifying performance
  • Implement security and ethics in Grok deployments
  • Design scalable automated Grok workflows in production
  • Deploy Grok applications connected to enterprise databases
  • Acquire certifying skills in Grok AI to boost competitiveness

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Grok APIs: Advanced Integration and Secure Authentication (Python SDK, tokens, rate limiting)

Dive into Grok APIs via the official Python and Node.js SDK, configure OAuth authentication and manage advanced quotas, perform large-scale asynchronous calls with response streaming, test on real enterprise datasets, build a first conversational agent connected to an external API, practical exercises with real-time debugging and API cost optimization for intensive professional use.

Module 2Grok Prompt Engineering: Expert Techniques and Chaining (few-shot, chain-of-thought, custom tools)

Explore advanced Grok prompts for complex tasks like code generation or data analysis, implement chain-of-thought and few-shot learning on concrete business cases, integrate external tools via Grok function calling, develop a custom RAG system with vector stores like Pinecone, evaluate performance with automated metrics, create reusable templates to accelerate enterprise projects and boost team productivity.

Module 3Grok Agents: Multi-Agent Design and Orchestration (LangChain, AutoGen, parallel workflows)

Design autonomous Grok agents with LangChain and AutoGen for enterprise scenarios, orchestrate collaborative multi-agent workflows handling web research, calculations, and validation, integrate persistent memory via Redis, test on customer support simulations or predictive analysis, deploy an ROI-optimized agent prototype, analyze logs for rapid iterations, transform business processes into intelligent, scalable automations.

Module 4Grok Fine-Tuning: Custom Adaptation and Optimization (LoRA, proprietary datasets, fine evaluation)

Adapt Grok via LoRA fine-tuning on your confidential enterprise datasets, prepare and curate data with tools like Hugging Face Datasets, train custom models on cloud GPUs, evaluate with perplexity and ROUGE benchmarks, integrate into CI/CD pipelines, generate sector-specific models for finance or healthcare, measure direct ROI impact on operations, acquire certifying expertise in proprietary AI customization.

Module 5Grok Deployment: Secure Production and Monitoring (Docker, Kubernetes, enterprise observability)

Deploy Grok solutions to production with Docker and Kubernetes on AWS or Azure, implement advanced monitoring via Prometheus and Grafana for latency and errors, secure with WAF and sensitive data encryption, configure auto-scaling for load peaks, integrate distributed tracing with Jaeger, finalize a complete red thread project with analytics dashboard, prepare for Qualiopi certification, and migrate to a robust enterprise stack for immediate performance gains.

Evaluation method

  • Expert MCQ on Grok APIs and fine-tuning at the end of the training
  • Practical evaluation through development of a multi-task agent
  • Project defense with trainer audit and ROI metrics

Learning method

  • Sessions led by xAI experts and active integrators
  • Hands-on exercises on real enterprise cases and live datasets
  • Evolving red thread project integrating all Grok modules
  • Complete digital course materials and ready-to-use templates

Methods, materials and delivery

The Training Grok - Mastering AI for Enterprise Applications 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 Grok - Mastering AI for Enterprise Applications 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 Grok - Mastering AI for Enterprise Applications 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

4.9 · +100 verified reviews
★★★★★

« 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
★★★★★

« 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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