Training Vercel AI SDK - Integrating Generative AI in Production

On quote

  • 5 days
  • Onsite
  • 10 people max.
Ref: WHX224
10 people max.
On quote
In-company rate: on quote
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without the Vercel AI SDK, teams lose 45% of their time on AI integration in Next.js, multiplying streaming bugs by 3.

  • Applications without generative AI see engagement rates drop by 35%, costing thousands of euros in missed opportunities.

  • In 2024, 68% of recruiters reject devs without skills in modern AI SDKs, exposing companies and careers to rapid obsolescence against AI-first competitors.

  • Master it to ship 2x faster and scale without limits.

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

25,715 programs · 25 countries

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

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
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  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
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  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

Learning objectives

  • Master Vercel AI SDK to develop professional and scalable AI applications
  • Implement text generation flows and real-time streaming
  • Design autonomous AI agents with tool calling and advanced RAG
  • Optimize AI performance in enterprise Next.js environments
  • Deploy and monitor certified AI solutions on Vercel
  • Develop AI integration skills for certified projects

Program

Module 1Vercel AI SDK Setup: Advanced Configuration and Providers (Next.js, TypeScript, OpenAI)

Quick installation of Vercel AI SDK in an existing Next.js 14 project, configuration of providers like OpenAI and Anthropic for professional AI flows, exploration of hooks useChat and useCompletion with practical exercises on real enterprise cases, creation of a first interactive AI component, unit tests and live debugging, production of a functional deliverable ready for integration.

Module 2Vercel AI SDK Streaming Generation: Dynamic Text and Completions (Advanced Hooks, AI UI/UX)

Implementation of real-time streams with Vercel AI SDK for smooth and engaging AI responses, customization of hooks to handle user interruptions and network errors, exercises on enterprise chatbots with persistent conversation history, integration of Markdown rendering for rich content, performance optimization with suspense and smooth transitions, delivery of a complete and responsive chat interface.

Module 3Vercel AI SDK Tool Calling: Intelligent Agents and External Functions (APIs, Databases)

Development of AI agents via Vercel AI SDK with tool calling to execute custom functions like API queries or complex calculations, connection to external services such as Pinecone vector databases, practical workshops on business scenarios like customer automation, management of reasoning loops and fallback strategies, creation of a scalable multi-tool agent, documentation and end-to-end tests for professional deployment.

Module 4Advanced RAG with Vercel AI SDK: Retrieval and Enriched Context (Embeddings, Vector Stores)

Implementation of Retrieval-Augmented Generation with Vercel AI SDK for contextualized and precise AI responses, generation of embeddings with Hugging Face models, indexing in stores like Vercel Postgres or Supabase, exercises on enterprise cases with internal documents, prompt chaining for result refinement, optimization of costs and latency, production of a RAG module integrated into a Next.js app with performance metrics.

Module 5Vercel AI SDK Deployment: Scaling, Monitoring, and Security (Vercel Edge, Observability)

Serverless deployment of AI applications on Vercel with Vercel AI SDK, configuration of Edge Functions for minimal global latency, setup of monitoring with Vercel Analytics and Sentry for AI error traceability, workshops on prompt security and rate limiting, GPU cost optimization via intelligent caching, finalization of the red thread project with GitHub Actions CI/CD, delivery of certifiable source code and enterprise maintenance plan.

Evaluation method

  • Technical MCQ on Vercel AI SDK and its advanced hooks
  • Evaluation through practical exercises and live debugging
  • Presentation of the red thread AI project with production demo

Learning method

  • Sessions led by active Vercel and AI expert trainers
  • Hands-on exercises on real enterprise Next.js cases
  • Custom red thread AI project over 5 days
  • Complete digital course materials and GitHub resources

Methods, materials and delivery

The Training Vercel AI SDK - Integrating Generative AI in Production 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 Vercel AI SDK - Integrating Generative AI in Production 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 - Integrating Generative AI in Production 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

Which tools are used in Vercel AI SDK training?+
Hands-on work runs on next.js, typeScript, openAI, advanced Hooks, AI UI and UX. Those tools come from the Vercel AI SDK program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Vercel AI SDK training?+
They can master Vercel AI SDK to develop professional and scalable AI applications, implement text generation flows and real-time streaming and design autonomous AI agents with tool calling and advanced RAG. Those are the stated objectives of the Vercel AI SDK program at Advanced level, checked by the end-of-session assessment.
What does the Vercel AI SDK program cover, day by day?+
Day 1: Vercel AI SDK Setup: Advanced Configuration and Providers (Next.js, TypeScript, OpenAI). Day 2: Vercel AI SDK Streaming Generation: Dynamic Text and Completions (Advanced Hooks, AI UI/UX). Day 3: Vercel AI SDK Tool Calling: Intelligent Agents and External Functions (APIs, Databases). Day 4: Advanced RAG with Vercel AI SDK: Retrieval and Enriched Context (Embeddings, Vector Stores). Day 5: Vercel AI SDK Deployment: Scaling, Monitoring, and Security (Vercel Edge, Observability). The Vercel AI SDK program runs over 5 days, delivered on site.
How is Vercel AI SDK training assessed?+
Assessment relies on technical MCQ on Vercel AI SDK and its advanced hooks, evaluation through practical exercises and live debugging and presentation of the red thread AI project with production demo. Learni issues a completion certificate together with the individual assessment report at the end of the Vercel AI SDK program, which an L&D team can file as evidence.
How much does Vercel AI SDK training cost per participant?+
Vercel AI SDK 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 Vercel AI SDK training take?+
5 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 Vercel AI SDK 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 Vercel AI SDK training?+
Mastery of Next.js 14+, advanced TypeScript, and AI model APIs like OpenAI.
Is a certificate issued after Vercel AI SDK 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.
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