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.
Learning objectives
- Integrate the OpenAI API into complex architectures
- Optimize prompts for precise and scalable responses
- Perform fine-tuning of custom models
- Build autonomous AI agents with Assistants API
- Secure and monitor production deployments
- Scale integrations for massive volumes
- Analyze costs and performance with advanced tools
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 advanced mastery of the OpenAI API, 70% of AI projects fail in the scaling phase, wasting up to 30% of the API call budget (real costs: 5-10k€/month).
Your competitors, trained, integrate autonomous agents boosting revenues by 25%, while your apps remain basic and vulnerable to data leaks (GDPR risk: fines up to 4% of turnover).
Lose 50% of dev time debugging ineffective prompts and miss AI market opportunities estimated at 200B€ by 2025.
Train now or fall behind.
Program
Module 1Advanced OpenAI API Endpoints: Authentication and Token Management (Python SDK, Postman)
Dive into complex API calls, set up secure OAuth authentication, manage token limits in real-time with practical exercises on GPT-4, debug common errors using real e-commerce app cases, produce a deploy-ready integration script, and master quotas to avoid overages.
Module 2Expert OpenAI Prompt Engineering: Chain-of-Thought and Few-Shot (LangChain, Custom Tools)
Master advanced prompting techniques for ultra-precise responses, test reasoning chains on real datasets, integrate LangChain for multi-step workflows, apply few-shot learning to business cases like code generation, create and evaluate your own templates, and leave with an optimized prompt kit boosting efficiency by 40%.
Module 3OpenAI Fine-Tuning and Assistants API: Custom Models (Playground, Datasets)
Prepare and launch fine-tunings on your private data via the OpenAI interface, configure Assistants API for intelligent autonomous agents, train on real cases like automated customer support, test performance with precise metrics, generate deployable deliverables, and turn your ideas into custom AI in no time.
Module 4OpenAI API Deployment and Scaling: Security, Monitoring (AWS, Vercel, Prometheus)
Deploy integrations to secure cloud production environments, implement rate limiting and API key encryption, monitor costs and latencies with custom dashboards, scale for 1M+ requests/day via hands-on Vercel/AWS exercises, secure against prompt injections, and conclude with a certified, market-ready final project.
Evaluation method
- Daily practical evaluations, graded final project, validation MCQ, Qualiopi certification
Learning method
- Hands-on projects 70% of the time, real business cases, personalized feedback
Methods, materials and delivery
The Training OpenAI API - Develop Ultra-High-Performance AI Apps 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 - Develop Ultra-High-Performance AI Apps 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 - Develop Ultra-High-Performance AI Apps 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
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
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.
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.
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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