Training OpenAI Function Calling - Integrating External Functions in AI

$1,155

  • 1 day
  • Onsite
  • 10 people max.
Ref: KYU801
10 people max.
$1,155
In-company rate: from $2,195 for the whole team
On-site and certification exam on quote
1 day
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of OpenAI Function Calling, your AI agents stay limited to static responses, wasting up to 50% of team time on repetitive manual queries.

  • Companies that neglect this skill see their AI projects fail in 65% of cases, with development costs inflated by 30% on average according to Gartner.

  • In 2024, 82% of AI recruiters reject profiles unable to integrate external functions, blocking promotions and competitiveness.

  • Every quarter without these skills exposes your company to productivity losses estimated at 20k€ per developer, while competitors automate and scale faster.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

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  • Aptar
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  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

OpenAI Function Calling training objectives

  • Master OpenAI Function Calling to create professional AI agents
  • Develop JSON schemas adapted to external functions in business settings
  • Implement dynamic function calls in GPT models
  • Design AI workflows connected to certified third-party tools
  • Optimize AI responses with Function Calling for advanced capabilities
  • Deploy robust AI applications integrating custom functions

Program

OpenAI Function Calling curriculum: 1 module over 1 day

Module 1 : OpenAI Function Calling: Implementing Function Calls in AI Agents (OpenAI API, JSON Schemas, Practical Tests)

Dive into the OpenAI environment with API installation and creation of a basic AI agent, precise definition of JSON schemas for custom functions such as web search or complex calculations, practical integration exercises where you connect the GPT model to external tools like databases or cloud services, simulation of real business scenarios to test dynamic calls, interactive debugging of common errors with advanced logging tools, production of a complete deliverable: a functional, deployed, and documented AI agent ready for professional projects.

How OpenAI Function Calling skills are assessed

  • Technical MCQ on JSON schemas and function calls
  • Evaluation through real business case simulation
  • Defense of a personalized AI agent integrating Function Calling

How the OpenAI Function Calling course is taught

  • Sessions led by a certified active OpenAI expert
  • Hands-on exercises on real business AI cases
  • Red thread project: progressive construction of an intelligent agent
  • Complete digital pedagogical support and post-training resources

OpenAI Function Calling training: access and practical arrangements

The Training OpenAI Function Calling - Integrating External Functions in AI 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 - Integrating External Functions in AI 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 - Integrating External Functions in AI 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.

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.

Our method

How Learni guarantees the quality of your OpenAI Function Calling training

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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

A child walking to school with a backpack
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
Enroll and offer a kit
FAQ

OpenAI Function Calling: frequently asked questions

Which tools are used in OpenAI Function Calling training?+
Hands-on work runs on openAI API, JSON Schemas and practical Tests. Those tools come from the OpenAI Function Calling program itself, delivered on site over 1 day, so participants practise on the stack they will use at work.
What can participants do after OpenAI Function Calling training?+
They can master OpenAI Function Calling to create professional AI agents, develop JSON schemas adapted to external functions in business settings and implement dynamic function calls in GPT models. Those are the stated objectives of the OpenAI Function Calling program at Intermediate level, checked by the end-of-session assessment.
How is OpenAI Function Calling training assessed?+
Assessment relies on technical MCQ on JSON schemas and function calls, evaluation through real business case simulation and defense of a personalized AI agent integrating Function Calling. Learni issues a completion certificate together with the individual assessment report at the end of the OpenAI Function Calling program, which an L&D team can file as evidence.
How much does OpenAI Function Calling training cost per participant?+
OpenAI Function Calling training costs $1,155 per participant. For an in-company team, the flat rate starts at $2,195 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does OpenAI Function Calling training take?+
1 day, 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 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 training?+
Mastery of Python, use of OpenAI APIs, and JSON basics.
Is a certificate issued after OpenAI Function Calling 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.
Does Learni provide the equipment for OpenAI Function Calling training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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