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.
Learning objectives
- Master the advanced architecture of OpenAI Agents SDK 2026 to develop autonomous AI agents in certified professional training
- Design intelligent multi-agent systems optimized for critical enterprise competencies
- Implement advanced reasoning protocols and external tools in OpenAI Agents SDK 2026
- Deploy scalable agents in production with enhanced monitoring and security
- Optimize agent performance via fine-tuning and professional evaluation metrics
- Integrate OpenAI Agents SDK 2026 into DevOps pipelines for accelerated digital transformation
- Develop real-world use cases boosting enterprise team productivity
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
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 1OpenAI Agents SDK 2026 Architecture: Advanced Agent Modeling (Core Tools, Reasoning)
Dive into the expert foundations of OpenAI Agents SDK 2026 through code source dissection, configure agents with GPT-5 preview models, implement autoreflective reasoning loops on complex cases, conduct practical exercises on real multi-task simulations, produce deliverable UML diagrams for scalable architectures, integrate persistent memory tools for long sessions, prepare secure enterprise deployment groundwork.
Module 2External Tools in OpenAI Agents SDK 2026: Integrating Third-Party APIs (Browsers, DB, Cloud Services)
Explore the extensive toolkit of OpenAI Agents SDK 2026 by connecting agents to external APIs like Google Search, SQL/NoSQL databases, AWS Lambda services, develop custom wrappers via Python async, test tool chains on automated e-commerce workflows, analyze error logs for robustness, generate performance reports with latency/accuracy metrics, apply token security best practices, deliver production-ready functional prototypes.
Module 3Multi-Agents in OpenAI Agents SDK 2026: Swarm Collaboration (Roles, Communication Protocols)
Build collaborative multi-agent systems in OpenAI Agents SDK 2026, define role hierarchies for supervisor/worker, implement asynchronous message-passing protocols, simulate scientific research scenarios with 10+ parallel agents, optimize coordination via knowledge graphs, debug conflicts via advanced tracing, evaluate collective efficiency on custom benchmarks, produce reusable blueprints for enterprise teams, integrate Grafana monitoring dashboards.
Module 4Fine-Tuning and Security in OpenAI Agents SDK 2026: Model Optimization (RLHF, Guardrails)
Deepen agent fine-tuning via OpenAI Agents SDK 2026 with proprietary datasets, apply RLHF for ethical alignment, deploy guardrails against hallucinations/jailbreaks, test adversarial robustness on 100+ prompts, measure precision gains via ROUGE/BLEU metrics, integrate Pinecone vector stores for augmented retrieval, automate CI/CD pipelines with GitHub Actions, validate enterprise GDPR compliance, deliver high-performance customized agents.
Module 5Production Deployment of OpenAI Agents SDK 2026: Scaling and Monitoring (Kubernetes, Observability)
Master full-scale deployment of OpenAI Agents SDK 2026 on Kubernetes/Docker, configure horizontal auto-scaling for traffic spikes, integrate Prometheus/Loki observability, simulate 1000+ requests/sec loads, optimize cloud costs via spot instances, secure API endpoints with API Gateway, migrate legacy systems to hybrid agents, evaluate ROI on real business cases, finalize certifying project portfolio, plan post-training skills roadmap.
Evaluation method
- Final multi-agent project deployed in simulated production with metrics report
- Advanced quizzes on architecture/tools (90% success required)
- Personalized enterprise case study + peer-review
- Qualiopi certification for OpenAI Agents SDK 2026 expert
Learning method
- 70% hands-on practical coding workshops in small groups
- 20% real-world case studies from Fortune 500 companies
- 10% advanced theory via live OpenAI preview demos
- Continuous feedback from trainer with 15+ years in AI
Methods, materials and delivery
The Training OpenAI Agents SDK 2026 - Mastering Autonomous AI Agents program is delivered onsite or remote (blended-learning, e-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 Agents SDK 2026 - Mastering 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 Agents SDK 2026 - Mastering 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
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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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