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Training OpenAI API - Integrating Generative AI in Backend

Ref: JAL649
10 people max.
From $5,775 HT / per person
On-site on request · +$540 with certification exam
5 days
Remote

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

Learning objectives

  • Master the OpenAI API to develop certified AI skills in professional backend
  • Design advanced generative AI integrations in enterprise architectures
  • Optimize OpenAI API calls for scalable production performance
  • Implement intelligent microservices with Node.js and OpenAI API
  • Deploy secure AI solutions compliant with professional standards
  • Develop concrete use cases to boost enterprise innovation
A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training

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

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.

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.

Imed BEN AMOR
Imed BEN AMOR

Learni trainer · Development expert

73%productivity gap
×3cost of inaction

Program

Module 1OpenAI API Fundamentals: Authentication, Advanced Models (GPT-4, Embeddings)

Discover secure authentication protocols with OpenAI API keys, explore GPT-4 models and embeddings for high-performance vector embeddings, complete practical exercises on quota and rate limit management, build your first AI assistant in Node.js, analyze structured JSON responses for seamless backend integration, and produce a functional deliverable tested in a remote environment.

Module 2Node.js OpenAI API Integration: Streaming, Fine-Tuning (Tools, Real Cases)

Dive into Node.js integration with official OpenAI SDKs, implement response streaming for reactive chatbots, experiment with fine-tuning models on enterprise datasets, develop custom wrappers for REST APIs, test fallback scenarios in case of errors, and generate a scalable backend service prototype while measuring latencies for early optimization.

Module 3Advanced OpenAI API REST: Chaining, Tools Calling (Initial Microservices)

Build composite REST APIs with OpenAI prompt chaining, enable tools calling for dynamic external functions, integrate communicating Node.js microservices via OpenAI API, simulate e-commerce use cases with AI content generation, secure endpoints with authentication middleware, and deploy a tested API gateway producing detailed logs for advanced remote debugging.

Module 4OpenAI API Microservices: Orchestrators, Scaling (Kubernetes, Observability)

Orchestrate backend microservices with OpenAI API in Node.js, configure Docker and Kubernetes for horizontal scaling, implement observability patterns like Prometheus and Grafana, manage API costs via intelligent Redis caching, develop asynchronous workflows with RabbitMQ queues, test resilience under load with chaos engineering, and deliver an AI microservices cluster ready for production.

Module 5Production Deployment OpenAI API: Security, Monitoring (CI/CD, Compliance)

Finalize CI/CD deployment with GitHub Actions and Vercel, strengthen security against prompt injections and data leaks, monitor in real-time with OpenTelemetry distributed tracing, optimize costs via batching and lightweight models, audit GDPR compliance for enterprises, complete a capstone project integrating all concepts, and obtain a certifying portfolio to showcase your backend AI skills.

Evaluation method

  • Daily technical quizzes on OpenAI API and Node.js
  • Final AI microservices project with peer-review
  • Qualiopi certification on acquired skills

Learning method

  • Practical methods 80% hands-on, 20% theory
  • Pair exercises for immediate feedback
  • 3-month post-training support included
  • Permanent video resources and source code

Methods, materials and delivery

The Training OpenAI API - Integrating Generative AI in Backend 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 OpenAI API - Integrating Generative 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 - Integrating Generative 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

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.

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.

FAQ

Frequently asked questions

How much does the Training OpenAI API - Integrating Generative AI in Backend training cost?+
The individual price is $5,775 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training OpenAI API - Integrating Generative AI in Backend training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of Node.js, REST API development, asynchronous programming, basics in microservices and advanced JavaScript
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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