Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training OpenAI API - Develop Ultra-High-Performance AI Apps training are: Mastery of Python and REST APIs, experience with GPT-3.5/4, basics in machine learning.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training OpenAI API - Develop Ultra-High-Performance AI Apps training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training OpenAI API - Develop Ultra-High-Perform... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training OpenAI API - Develop Ultra-High-Performance AI Apps training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training OpenAI API - Develop Ultra-High-Performance AI Apps training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training OpenAI API - Develop Ultra-High-Performance AI Apps training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training 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

Training 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.