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Training Vercel AI SDK 2026 - Mastering Scalable Generative AI

Ref: JHM917
10 people max.
4400€ 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
4 journées
distanciel

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Learning objectives

  • Master the Vercel AI SDK 2026 to integrate generative AI into professional fullstack apps.
  • Develop autonomous AI agents with streaming and tool-calling for optimal reactivity.
  • Optimize AI performance in edge computing, reducing latency by 80% in enterprise.
  • Implement advanced certifying RAG pipelines for secure and scalable data.
  • Design hybrid frontend-backend architectures with Vercel AI to boost team skills.
  • Deploy and monitor AI apps in production, ensuring compliance and quick ROI.

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Fundamentals of Vercel AI SDK 2026: Edge Architecture and AI Streaming (Core Tools, Pro Setup)

Dive into the new features of Vercel AI SDK 2026 with expert edge environment configuration, strict TypeScript integration, and first generative streams via OpenAI and Grok. Perform practical exercises on dynamic tool-calling, test latency live, build a scalable reactive chatbot, and validate deliverables like a production-ready streamed MVP, while optimizing custom hooks for an immersive professional training.

Module 2Autonomous AI Agents with Vercel AI SDK 2026: Tool-Calling and Orchestration (Multi-Model Methods, Enterprise Cases)

Explore advanced AI agents in the SDK with multi-model orchestration using Anthropic and Mistral, implement complex execution graphs, and integrate custom tools like Pinecone vector databases. Practice on real workflow automation cases, measure 99.9% reliability, generate execution reports, deploy a simulated trading agent in edge, and refine prompts for surgical precision, strengthening your certifying enterprise AI skills.

Module 3RAG Pipelines and Security with Vercel AI SDK 2026: Vectorization and Guardrails (Secure Frameworks, Auditable Deliverables)

Master hybrid RAG pipelines with Vercel AI embeddings, optimized FAISS indexing, and hybrid semantic-vector retrieval for contextualized responses. Develop anti-hallucination guardrails, test secure prompt injection, integrate Vercel KV for persistent caching, simulate GDPR compliance audits, produce a monitored RAG dashboard, and optimize token costs by 40%, preparing professional expertise for critical projects.

Module 4Deployment and Scaling with Vercel AI SDK 2026: Production Monitoring and Optimization (CI/CD, Advanced Metrics)

Finalize with full-production serverless deployment, custom GitHub Actions CI/CD, auto-scaling via Vercel AI Analytics, and observability monitoring with distributed traces. Complete a multi-agent RAG capstone project, benchmark performance under 10k req/s load, configure model A/B testing, generate predictive alerts, and conclude with a full audit and certifying report, boosting your skills for enterprise AI leads.

Evaluation method

  • Daily technical quizzes on SDK APIs and best practices.
  • Capstone project deployed to production with mentor feedback.
  • Qualiopi certifying attestation validating expert skills.

Learning method

  • 70% hands-on practice with live code and unlimited replays.
  • Real enterprise case studies from Fortune 500 on Vercel.
  • Individual mentoring by Vercel-certified experts.
  • Access to alumni community and 6-month post-training support.

Methods, materials and delivery

The Training Vercel AI SDK 2026 - Mastering Scalable Generative AI 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 Vercel AI SDK 2026 - Mastering Scalable Generative AI 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 Vercel AI SDK 2026 - Mastering Scalable Generative AI 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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