Training OpenAI Function Calling - Developing Autonomous AI Agents

Specialist course · Minimum level required

$7,875

  • 5 days
  • Onsite
  • 10 people max.
Ref: CGZ764
10 people max.
$7,875
In-company rate: from $14,175 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty level
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Failing to master OpenAI function calling exposes companies to a major competitive disadvantage in 2026.

  • According to Gartner, 75% of organizations that fail to deploy autonomous AI agents will lose market share to more agile competitors.

  • Developers without these skills will see their career opportunities shrink, with demand rising 40% for advanced profiles.

  • The absence of certified training limits the ability to innovate and secure internal processes, increasing the risks of costly errors and non-compliance.

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

41,258 programs · 25 countries

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

Every program built with a dedicated engineer

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

OpenAI Function Calling training objectives

  • Master advanced function calling techniques with OpenAI in a professional context
  • Develop autonomous AI agents capable of orchestrating complex enterprise workflows
  • Design robust architectures integrating function calling for certifiable solutions
  • Optimize function call performance with the latest 2026 advancements
  • Implement security and monitoring strategies tailored to professional environments
  • Train internal teams on key advanced prompt engineering skills

Program

OpenAI Function Calling curriculum: 5 modules over 5 days

Module 1 : Theme: OpenAI function calling fundamentals and architecture (SDK, JSON schemas, debugging)

Participants explore the advanced fundamentals of function calling with OpenAI using the official SDK and complex JSON schemas. They analyze real business cases, complete practical exercises in function definition, and learn to debug common errors. The day concludes with the creation of a first functional prototype deliverable.

Module 2 : Theme: Autonomous agents and multi-function orchestration (LangChain, dynamic workflows)

This day deepens the construction of autonomous AI agents through orchestration of multiple functions. Learners work with LangChain and state management tools to create dynamic workflows. Practical exercises on business scenarios result in an agent capable of executing complex chained tasks.

Module 3 : Theme: Optimization and scalability of calls (rate limiting, caching, monitoring 2026)

Participants learn to optimize function call performance in high-load environments. They implement rate limiting, intelligent caching and monitoring tools aligned with 2026 standards. Real business cases lead to an optimized, production-ready scalable deliverable.

Module 4 : Theme: Security, compliance and enterprise integration (authentication, GDPR, secure APIs)

The training addresses security and compliance challenges in function calling implementations. Learners configure robust authentication mechanisms, integrate GDPR rules and secure exchanges with third-party APIs. A hands-on project delivers a compliant and auditable solution.

Module 5 : Theme: Deployment and advanced certification (testing, CI/CD, skills assessment)

The final day focuses on production deployment and certification of acquired skills. Participants implement automated tests, configure CI/CD pipelines and validate their final agent. Personalized guidance ensures a certifiable, enterprise-ready deliverable.

How OpenAI Function Calling skills are assessed

  • Daily technical quizzes
  • Final autonomous agent project
  • Presentation and skills certification

How the OpenAI Function Calling course is taught

  • Intensive practical workshops
  • Real business case studies
  • Guided pair exercises
  • Continuous personalized feedback

OpenAI Function Calling training: access and practical arrangements

The Training OpenAI Function Calling - Developing Autonomous 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 - Developing Autonomous 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 - Developing Autonomous 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.

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.

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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 SDK, JSON schemas, debugging, langChain, dynamic workflows and rate limiting. Those tools come from the OpenAI Function Calling program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after OpenAI Function Calling training?+
They can master advanced function calling techniques with OpenAI in a professional context, develop autonomous AI agents capable of orchestrating complex enterprise workflows and design robust architectures integrating function calling for certifiable solutions. Those are the stated objectives of the OpenAI Function Calling program at Advanced level, checked by the end-of-session assessment.
What does the OpenAI Function Calling program cover, day by day?+
Day 1: Theme: OpenAI function calling fundamentals and architecture (SDK, JSON schemas, debugging). Day 2: Theme: Autonomous agents and multi-function orchestration (LangChain, dynamic workflows). Day 3: Theme: Optimization and scalability of calls (rate limiting, caching, monitoring 2026). Day 4: Theme: Security, compliance and enterprise integration (authentication, GDPR, secure APIs). Day 5: Theme: Deployment and advanced certification (testing, CI/CD, skills assessment). The OpenAI Function Calling program runs over 5 days, delivered on site.
How is OpenAI Function Calling training assessed?+
Assessment relies on daily technical quizzes, final autonomous agent project and presentation and skills certification. 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 $7,875 per participant. For an in-company team, the flat rate starts at $14,175 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?+
5 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 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?+
Proficiency in Python, confirmed experience with REST APIs and OpenAI LLM models, hands-on practice with AI projects in production.
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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