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
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Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Training OpenAI Function Calling 2026 - Developing AI Agents
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master the fundamentals of OpenAI function calling in a certified training
- Develop practical skills to integrate AI tools into the enterprise
- Design automated workflows with professional function calling
- Implement reliable and secure AI agents for business use cases
- Optimize prompts and function calls in real-world contexts
- Deploy prompt engineering solutions in enterprise projects
Our social commitment
A school kit donated to a child for every training booked
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
Companies that ignore OpenAI function calling lose an average of 25% productivity on automatable tasks by 2026.
Developers without these skills see their career opportunities shrink against rising demand for AI specialists.
Internal projects stall while competitors pull ahead with higher-performing agents.
Acting now prevents this lasting strategic disadvantage.
Program
Module 1Theme: Introduction to OpenAI function calling (API, tools, first exercises)
Participants discover the principles of function calling with OpenAI models, configure their first environment, and perform simple calls via the official API. They work with concrete Python examples, test function parameters, and analyze structured responses. The day includes hands-on workshops on business use cases with immediate feedback.
Module 2Theme: Function design and prompt engineering (tools, methods, prototypes)
This day deepens the creation of robust function definitions and prompt optimization. Learners design effective JSON schemas, handle errors, and manage edge cases. Practical exercises on business scenarios enable prototyping intelligent assistants with continuous feedback and iterative adjustments.
Module 3Theme: Advanced integration of function calling (security, testing, integrations)
Participants integrate function calling into complete applications, addressing authentication management, data validation, and automated testing. They work on real cases using tools like LangChain and deliver functional deliverables tested in near-production conditions.
Module 4Theme: Deployment and optimization of OpenAI agents (monitoring, scalability)
The final day covers enterprise solution deployment, performance monitoring, and cost optimization. Learners finalize a personal project, present their AI agents, and receive personalized recommendations for rapid and secure production deployment.
Evaluation method
- Daily quizzes to validate learning
- Final project evaluated by peers and the instructor
- Certificate of competency issued at the end of the training
Learning method
- Alternating short theory with intensive practice
- Real use cases provided by participants
- Access to a ready-to-use development environment
- Reusable resources and templates after the training
Methods, materials and delivery
The Training OpenAI Function Calling 2026 - Developing 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 2026 - Developing 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 2026 - Developing 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
Which tools are used in OpenAI Function Calling 2026 training?+
Hands-on work runs on API, tools, first exercises, methods, prototypes and security. Those tools come from the OpenAI Function Calling 2026 program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after OpenAI Function Calling 2026 training?+
They can master the fundamentals of OpenAI function calling in a certified training, develop practical skills to integrate AI tools into the enterprise and design automated workflows with professional function calling. Those are the stated objectives of the OpenAI Function Calling 2026 program at Beginner level, checked by the end-of-session assessment.
What does the OpenAI Function Calling 2026 program cover, day by day?+
Day 1: Theme: Introduction to OpenAI function calling (API, tools, first exercises). Day 2: Theme: Function design and prompt engineering (tools, methods, prototypes). Day 3: Theme: Advanced integration of function calling (security, testing, integrations). Day 4: Theme: Deployment and optimization of OpenAI agents (monitoring, scalability). The OpenAI Function Calling 2026 program runs over 4 days, delivered on site.
How is OpenAI Function Calling 2026 training assessed?+
Assessment relies on daily quizzes to validate learning, final project evaluated by peers and the instructor and certificate of competency issued at the end of the training. Learni issues a completion certificate together with the individual assessment report at the end of the OpenAI Function Calling 2026 program, which an L&D team can file as evidence.
How much does OpenAI Function Calling 2026 training cost per participant?+
$4,620 (USD) per participant. A detailed quote is sent within one business day, and team pricing applies from the second participant.
How long does OpenAI Function Calling 2026 training take?+
4 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for OpenAI Function Calling 2026 training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before OpenAI Function Calling 2026 training?+
Basic knowledge of Python programming and regular use of REST APIs.
Is a certificate issued after OpenAI Function Calling 2026 training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
On-site & remote
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