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.
Training OpenAI Function Calling - Creating Autonomous AI Agents
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master advanced OpenAI function calling protocols for professional integrations
- Develop autonomous AI agents calling external tools in real-time
- Optimize JSON schemas and prompts for reliable enterprise execution
- Implement complex function chains with error handling
- Design scalable solutions connected to certified third-party APIs
- Deploy high-performance AI applications with monitoring and logging
- Acquire professional skills in advanced generative AI
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
Without mastering OpenAI function calling, your AI agents are limited to passive responses, wasting 65% of their potential on dynamic tasks like customer automation.
Companies that neglect this skill see their AI costs rise by 50% with development timelines doubled, and 70% of projects fail in production according to Gartner 2025.
In 2026, 85% of AI recruiters reject profiles without expertise in tools calling, putting your career and your organization's competitiveness at risk.
Act now to avoid these irreversible losses and turn your ideas into scalable solutions.
Program
Module 1Advanced OpenAI Function Calling Fundamentals: JSON Schemas and API Protocols (GPT-4o, Parallel Tools)
Dive into the internal mechanisms of OpenAI function calling via the Chat Completions API, definition of complex JSON schemas for multiple tools, experimentation with parallel calls on real business cases like inventory management, creation of your first AI agent calling a weather API, practical exercises with live debugging, production of a validated and tested schema for immediate integration.
Module 2State Management and OpenAI Function Calling Chains: Tool Orchestration (Python asyncio, Databases)
Build interconnected function chains for intelligent workflows, implement persistent state management with Redis or SQLite, integrate recursive calls to third-party APIs like Google Maps or Stripe, develop a customer support agent that automatically resolves tickets, practical sessions on critical business scenarios, optimize latencies for professional responsiveness, deliver a functional prototype with detailed logging.
Module 3Optimization and Security in OpenAI Function Calling: Advanced Prompts and Errors (Rate Limits, Validation)
Master prompt optimization techniques to minimize hallucinations and maximize call accuracy, configure strict JSON response validation with Pydantic, handle advanced errors like rate limits and timeouts in production, test on high-load cases simulating enterprise environments, implement robust fallback strategies, collaborative exercises on your red thread project, obtain a secure agent ready for deployment.
Module 4Deployment and Scaling OpenAI Function Calling: Production and Monitoring (Docker, LangChain, Observability)
Deploy your AI agent in Docker containers with FastAPI, integrate tools like LangChain to scale function calling, configure monitoring with Prometheus and Grafana to track performance, simulate cloud deployments on AWS or Vercel, collective code review on enterprise architectures, finalize your red thread project with basic CI/CD, leave with a concrete portfolio demonstrating certifiable skills in autonomous AI.
Evaluation method
- Technical MCQ on OpenAI function calling protocols
- Practical evaluation through development of a complete agent
- Project defense with live demo
Learning method
- Sessions led by an active professional OpenAI expert
- Hands-on exercises on authentic business cases
- Evolving red thread project over 4 days
- Complete digital course materials and updated OpenAI resources
Methods, materials and delivery
The Training OpenAI Function Calling - Creating 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 - Creating 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 - Creating 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.
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 training?+
Hands-on work runs on GPT-4o, parallel Tools, python asyncio, databases, rate Limits and validation. Those tools come from the OpenAI Function Calling 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 training?+
They can master advanced OpenAI function calling protocols for professional integrations, develop autonomous AI agents calling external tools in real-time and optimize JSON schemas and prompts for reliable enterprise execution. 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: Advanced OpenAI Function Calling Fundamentals: JSON Schemas and API Protocols (GPT-4o, Parallel Tools). Day 2: State Management and OpenAI Function Calling Chains: Tool Orchestration (Python asyncio, Databases). Day 3: Optimization and Security in OpenAI Function Calling: Advanced Prompts and Errors (Rate Limits, Validation). Day 4: Deployment and Scaling OpenAI Function Calling: Production and Monitoring (Docker, LangChain, Observability). The OpenAI Function Calling program runs over 4 days, delivered on site.
How is OpenAI Function Calling training assessed?+
Assessment relies on technical MCQ on OpenAI function calling protocols, practical evaluation through development of a complete agent and project defense with live demo. 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?+
$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 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 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, advanced use of OpenAI Chat Completions API, JSON Schema, and asynchronous programming.
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.
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