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Training OpenAI API 2026 - Integrating Advanced AI in Backend

Ref: CEE405
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 OpenAI API 2026 to develop professional certifiable backend skills
  • Design REST APIs integrating generative AI into scalable microservices
  • Implement advanced Node.js pipelines with OpenAI to optimize enterprise performance
  • Deploy robust AI microservices, managing tokens, rate limits, and security
  • Optimize costs and latency of OpenAI integrations in production environments
  • Develop innovative enterprise use cases through certified OpenAI API training
  • Acquire transferable skills to boost digital transformation

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 1OpenAI API 2026 Fundamentals: Authentication, Advanced Models, and Node.js Calls (Initial Configuration)

Discover the 2026 evolutions of the OpenAI API via Node.js, configure secure API keys, test GPT-5 models and custom assistants in practical exercises. Implement first asynchronous calls, handle common errors, analyze structured JSON responses. Create a starter project with advanced logging, prepare microservices integration for enterprise scaling.

Module 2REST APIs with OpenAI API 2026: Intelligent Endpoints and Prompt Chaining (API Prototype Deliverables)

Build Node.js REST APIs enriched by OpenAI API 2026, chain complex prompts for RAG and fine-tuning. Integrate Express middleware for rate limiting, validate payloads with Zod, test with Postman. Develop secure conversational endpoints, measure real latency, produce a deployable REST prototype on Vercel for team validation.

Module 3OpenAI API 2026 Microservices: Docker Orchestration and Inter-Service Communication (Functional Clusters)

Orchestrate Node.js microservices consuming OpenAI API 2026 via Docker Compose, implement Kafka for AI events. Manage horizontal scaling, monitor with Prometheus, secure with JWT and Vault secrets. Build a 3-service cluster (auth, generation, analysis), test resilience under load, deliver production-ready architecture diagrams.

Module 4OpenAI API 2026 Optimization: Caching, Batching, and Costs in Microservices (Performance Benchmarks)

Optimize OpenAI API 2026 integrations in Node.js microservices, apply Redis for prompt caching, batch requests to reduce tokens. Calculate API cost ROI, profile with Clinic.js, A/B test model variants. Deploy on mini Kubernetes, analyze Grafana metrics, generate quantified savings reports for enterprise decisions.

Module 5Production Deployment of OpenAI API 2026: Monitoring, CI/CD, and Enterprise Cases (Final Certifying Project)

Deploy OpenAI API 2026 microservices stack with GitHub Actions CI/CD, integrate Sentry for errors, ELK observability. Handle real e-commerce and AI customer support cases, secure sensitive data GDPR-compliant. Finalize capstone project with custom dashboard, evaluate live performance, obtain certifying attestation for CV and validated skills.

Evaluation method

  • Daily technical quizzes on OpenAI API 2026 and Node.js
  • Final AI microservices project with presentation
  • Qualiopi certifying attestation for advanced skills

Learning method

  • 70% hands-on practice with real Node.js and OpenAI code
  • Concrete enterprise use cases and production-like datasets
  • Individual mentoring in small groups of max 10
  • 3-month post-training support with dedicated Slack

Methods, materials and delivery

The Training OpenAI API 2026 - Integrating Advanced AI in Backend 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 OpenAI API 2026 - Integrating Advanced AI in Backend 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 OpenAI API 2026 - Integrating Advanced AI in Backend 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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