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Training Together AI 2026 - Mastering Advanced Open-Source LLMs

Ref: MXN573
10 people max.
5500€ 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 Together AI 2026 APIs in certified professional training
  • Develop fine-tuning skills for open-source LLMs in enterprise settings
  • Design scalable pipelines with Together AI 2026 and cloud tools
  • Optimize prompt engineering for maximum performance
  • Implement secure deployments in real-world production
  • Evaluate models using certified Together AI 2026 benchmarks
  • Acquire expert AI skills certification for career advancement

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 1Together AI 2026 Fundamentals: APIs, Authentication, Model Inference (PyTorch, REST)

Discover the core APIs of Together AI 2026 through practical exercises on OAuth authentication, batch inference calls, PyTorch integration for LLMs like Llama 3.1, performance logs analysis, creation of first simple pipeline, debugging common errors, deliverable: functional tested API script in small group.

Module 2Fine-Tuning Together AI 2026: Custom Datasets, Hyperparameters, LoRA (Hugging Face, Weights & Biases)

Dive into advanced fine-tuning with enterprise datasets on Together AI 2026, configure LoRA for efficiency, track via Weights & Biases, optimize hyperparameters on GPU/TPU, test convergence metrics, apply to sectoral RAG case, pair coding exercises, deliverable: fine-tuned deployable model 20% more accurate.

Module 3Scaling Together AI 2026: GPU Clusters, Auto-Scaling, Monitoring (Kubernetes, Prometheus)

Deploy at scale with Together AI 2026 on Kubernetes GPU clusters, implement auto-scaling for peak traffic, monitor via Prometheus/Grafana custom dashboards, manage AWS/GCP costs, simulate 1000 req/s loads, resolve bottlenecks live, troubleshooting workshops, deliverable: scalable high-availability architecture.

Module 4Prompt Engineering Together AI 2026: Advanced Chains, Autonomous Agents (LangChain, Retrieval)

Master expert prompt engineering on Together AI 2026 with LangChain multi-step chains, build RAG agents with vector DB, optimize few-shot long-context, A/B test variations, integrate external tools APIs, e-commerce personalization case, competitive challenges, deliverable: production-ready AI agent boosting ROI by 30%.

Module 5Projects & Optimization Together AI 2026: Benchmarks, Security, Certification (Toxicity, OWASP)

Synthesize in a full-stack Together AI 2026 capstone project, benchmark vs GPT-4o, secure against bias/toxicity OWASP, optimize latency and cost, pitch enterprise solution, peer-mentored review, Qualiopi certification delivered, post-training repo access, deliverable: deployed production-like project portfolio.

Evaluation method

  • Daily technical quizzes with 80% success rate
  • Expert-graded final Together AI 2026 project
  • Qualiopi certified competencies attestation

Learning method

  • 70% hands-on live coding with Together AI 2026
  • 30% theory on real enterprise cases
  • Agile collaborative workshops method
  • Unlimited support for 6 months post-training

Methods, materials and delivery

The Training Together AI 2026 - Mastering Advanced Open-Source LLMs 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 Together AI 2026 - Mastering Advanced Open-Source LLMs 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 Together AI 2026 - Mastering Advanced Open-Source LLMs 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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