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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Learning objectives
- Master advanced OpenAI function calling protocols for seamless professional integrations
- Develop skills in function chaining to automate complex enterprise workflows
- Design certified AI agents capable of dynamic calls to external APIs
- Optimize 2026 function calling performance with monitoring and debugging tools
- Implement prompt engineering strategies adapted to function calling in professional training
- Deploy scalable solutions integrating OpenAI function calling in production environments
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.
Program
Module 1Advanced Fundamentals of OpenAI Function Calling 2026: Protocols and JSON Schemas (GPT-4o tools, validation)
Discover the 2026 evolutions of OpenAI function calls through practical exercises on defining complex JSON schemas, test synchronous and asynchronous calls with the API playground, analyze common errors in real-time, build your first custom toolkit, and validate basic integrations with third-party APIs like weather or finance, while measuring precision gains for professional applications.
Module 2Chaining and Parallelization in OpenAI Function Calling 2026: Multi-Step Workflows (LangChain tools, executors)
Dive into advanced function chaining with real enterprise cases, configure parallel executors to accelerate AI responses, integrate conditional loops on real datasets, debug complex flows via structured logs, develop a conversational agent calling multiple tools simultaneously, and evaluate impact on latency for scalable production deployments.
Module 3Security and Optimization in OpenAI Function Calling 2026: Rate Limits, Caching (Redis tools, Sentry monitoring)
Master security safeguards for function calling, implement intelligent caching with Redis to reduce API costs by 40%, optimize rate limits via priority queues, test injection attack scenarios in simulated environments, configure live monitoring alerts with Sentry, and deploy a custom dashboard tracking call performance in a certified professional context.
Module 4Autonomous Agents with OpenAI Function Calling 2026: Reasoning and Dynamic Tools (ReAct tools, custom tools)
Build advanced ReAct agents combining reasoning and 2026 function calling, dynamically generate tools via meta-prompting, integrate REST/GraphQL APIs live with semantic validation, simulate multi-agent collaborative tasks on real business cases, measure autonomy via success metrics, and prepare deliverables ready for enterprise stack integration like FastAPI or Vercel.
Module 5Production Deployment of OpenAI Function Calling 2026: Scaling and MLOps (Docker, Kubernetes, CI/CD tools)
Finalize with production deployment of your function calling solutions, containerize with Docker for Kubernetes scalability, automate CI/CD via GitHub Actions with unit tests on calls, integrate observability tools like Prometheus, analyze real costs on Azure OpenAI, produce a complete ROI report for the enterprise, and receive a Qualiopi certificate validating your advanced skills.
Evaluation method
- Daily interactive quizzes on key concepts with immediate feedback
- Final project: complete AI agent deployed and presented in group
- Qualiopi certification and 360° evaluation by certified trainers
Learning method
- 70% practical: live coding and hands-on workshops on real cases
- 30% theory: insights from OpenAI experts
- Agile method: rapid iterations with peers in small groups
- Post-training support: unlimited access to resources for 6 months
Methods, materials and delivery
The Training OpenAI function calling 2026 - Integrating External AI Tools 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 function calling 2026 - Integrating External AI Tools 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 function calling 2026 - Integrating External AI Tools 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.
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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FAQ
Frequently asked questions
How much does the Training OpenAI function calling 2026 - Integrating External AI Tools 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 function calling 2026 - Integrating External AI Tools 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?+
Advanced mastery of Python, expert use of OpenAI APIs, knowledge of JSON Schema and GPT-4o models
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.
On-site & remote
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