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
Every program built with a dedicated engineer
Learning objectives
- Master advanced OpenAI function calling concepts in a professional training context.
- Develop solid skills to design reliable AI agents in a business environment.
- Implement complex workflows with function calling and external tools.
- Optimize the performance and security of function calls in production.
- Design certifying solutions tailored to the company's business needs.
- Evaluate and improve AI responses using advanced prompt engineering strategies.
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 1Theme: OpenAI function calling fundamentals (API, JSON schemas, initial tests)
Participants discover the basics of OpenAI function calling through practical demonstrations. They explore schema structures, required parameters, and API responses. Guided exercises enable the creation of simple functions connected to business data. Emphasis is placed on understanding structured responses and handling common errors.
Module 2Theme: Advanced OpenAI function calling (chaining, multiple tools, validation)
This day deepens the chaining of multiple functions and the use of parallel tools. Learners design agents capable of executing complex multi-step tasks. Real-world business cases illustrate parameter validation and exception handling. They produce a first functional deliverable testable in a real environment.
Module 3Theme: OpenAI function calling and backend integration (Python, databases)
Trainees integrate function calling into Python backend applications. They connect functions to databases and third-party services via APIs. Practical exercises demonstrate how to secure calls and optimize response times. A capstone project enables building a complete module for a professional use case.
Module 4Theme: OpenAI function calling and prompt engineering (optimization, robustness)
This session combines function calling with advanced prompt engineering techniques. Participants learn to write function descriptions that improve model accuracy. Comparative tests and iterative adjustments strengthen agent reliability. They deliver an optimized version of their project with performance metrics.
Module 5Theme: OpenAI function calling in production (deployment, monitoring, certification)
The final day covers deployment in a professional environment with monitoring and logging. Learners discover best practices for scalability and security. A final workshop enables them to finalize their solution and prepare for certification. Each participant presents their deliverable and receives personalized feedback for immediate implementation in the company.
Evaluation method
- Daily concept validation quizzes at the end of each day
- Capstone project evaluated by the trainer
- Oral presentation of the final deliverable
Learning method
- Hands-on exercises on the real OpenAI API
- Business use cases provided by participants
- Individual feedback on deliverables
- Access to resources and source code post-training
Methods, materials and delivery
The Training OpenAI Function Calling - Deploying High-Performance AI Agents 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 - Deploying High-Performance AI Agents 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 - Deploying High-Performance AI Agents 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 - Deploying High-Performance AI Agents 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 - Deploying High-Performance AI Agents 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?+
Proficiency in Python, knowledge of REST APIs, and practical experience in prompt engineering for professional applications.
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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