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 multi-agent architecture of the OpenAI Agents SDK 2026 in certified professional training
- Develop autonomous AI agents for complex enterprise tasks
- Optimize agent performance and scalability with expert skills
- Implement multi-modal workflows integrating vision, voice, and reasoning
- Design robust agent systems for industrial production
- Deploy and monitor AI agents in secure cloud environments
- Obtain certification proving expertise in OpenAI Agents SDK 2026
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, Protocols)
Dive into expert installation of the OpenAI Agents SDK 2026, set up multi-agent environments with advanced Python and native libraries, explore inter-agent communication protocols through practical exercises on real business cases, model autonomous agent hierarchies, generate first functional prototypes, analyze extended chain-of-thought reasoning patterns, produce deliverable UML diagrams for scalable architecture.
Module 2Autonomous Agents in OpenAI Agents SDK 2026: Planning and Execution (ReAct Methods, Tools)
Design planner agents with ReAct and Tree-of-Thoughts in OpenAI Agents SDK 2026, implement autonomous execution loops on complex datasets, integrate external tools like web APIs and databases via hands-on workshops, test resilience to errors with fault-tolerant simulations, optimize latency for production, develop multi-task collaborative agents, export deployable scripts with performance metrics.
Module 3Multi-Modality in OpenAI Agents SDK 2026: Vision, Voice, Reasoning (GPT-Vision Models)
Integrate multi-modal capabilities into OpenAI Agents SDK 2026, fuse vision via GPT-4V and audio processing for complete agents, develop hybrid reasoning pipelines on concrete business cases like automated visual analysis, train custom fine-tuning, evaluate accuracy with industrial benchmarks, build interactive voice interfaces, generate deliverable evaluation reports, debug multi-modal flows in real-time.
Module 4Scalability and Security in OpenAI Agents SDK 2026: Cloud Deployment (Kubernetes, Monitoring)
Deploy scalable agent fleets with OpenAI Agents SDK 2026 on Kubernetes and serverless AWS Lambda, set up Prometheus/Grafana monitoring for production fleets, implement security guardrails against jailbreaks and biases, simulate extreme loads via stress tests, optimize GPU/TPU costs, integrate CI/CD with GitHub Actions, produce operational dashboards, train on GDPR compliance audits for enterprises.
Module 5Advanced Projects in OpenAI Agents SDK 2026: Enterprise Cases and Certification (Final Deliverables)
Develop capstone projects with OpenAI Agents SDK 2026 on real scenarios like supply-chain automation or enterprise virtual assistants, iterate in pairs for intelligent hybrid agents, present portfolios to peers, pass Qualiopi certification evaluation, receive expert mentor feedback, access post-training resources, deploy live cloud solutions, consolidate skills for immediate business ROI.
Evaluation method
- Daily practical projects with expert code review
- Advanced quizzes on architectures and edge cases
- Final capstone project presentation for certification
Learning method
- 90% hands-on practice with real OpenAI Agents SDK 2026 code
- Adapted Fortune 500 enterprise cases
- 1:3 mentorship by certified AI trainers
- Lifetime resources + alumni community
Methods, materials and delivery
The Training OpenAI Agents SDK 2026 - Autonomous Expert 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 - Autonomous Expert 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 - Autonomous Expert 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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