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 the OpenAI Agents SDK 2026 for professional certifying training
- Develop multi-tool autonomous AI agents in enterprise settings
- Optimize agent performance for scalable skills
- Implement complex workflows with memory and reasoning
- Design certifying agents integrated into professional ecosystems
- Deploy robust AI agent solutions in production
- Acquire expert SDK skills to boost competitiveness
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 Fundamentals: Advanced Architecture and Configuration (API keys, environments)
Discover the modular architecture of the OpenAI Agents SDK 2026, configure secure environments with advanced API keys and integrated debugging tools, implement first basic agents via practical exercises on real enterprise cases, test interactions with GPT-5 and external tools, produce a functional agent prototype with detailed logs and performance metrics, prepare the ground for complex developments in professional certifying training.
Module 2OpenAI Agents SDK 2026 Development: Multi-Tool Agents and Reasoning (custom tools, chaining)
Dive into creating multi-tool agents with the OpenAI Agents SDK 2026, integrate custom tools like vector databases and third-party APIs, develop advanced reasoning chains via collaborative exercises, simulate enterprise scenarios with agents solving complex tasks, generate deliverables including optimized source code and execution reports, strengthen professional skills for scalable and certifying implementations.
Module 3Memory and State in OpenAI Agents SDK 2026: Persistence and Long Context (vector stores, sessions)
Master persistent memory management in the OpenAI Agents SDK 2026, configure vector stores for extended context and multi-step sessions, apply optimization techniques via practical workshops on real datasets, develop robust conversational agents for enterprise applications, produce prototypes with state tracking and quantitative evaluation, integrate these advanced skills for certifying autonomous AI training.
Module 4Optimization in OpenAI Agents SDK 2026: Performance and Security (fine-tuning, guardrails)
Optimize OpenAI Agents SDK 2026 agents for high performance, implement custom fine-tuning and advanced security guardrails, test on real benchmarks with pair exercises, analyze token costs and latency via integrated dashboards, deploy secure versions for critical enterprise environments, generate deliverables including security audits and optimization plans, consolidate professional certifying skills in AI SDK.
Module 5Deployment of OpenAI Agents SDK 2026: Production and Monitoring (Docker, cloud scaling)
Deploy OpenAI Agents SDK 2026 agents to production via Docker and cloud services like AWS or Vercel, configure advanced monitoring with Prometheus and real-time alerts, simulate scalable deployments on enterprise use cases via final projects, integrate CI/CD for automated updates, produce complete portfolios with deployed code and live dashboards, validate certifying skills to boost professional AI careers.
Evaluation method
- Daily technical quizzes and peer feedback for immediate validation
- Capstone project on complex AI agent with oral defense
- Qualiopi certifying attestation and exportable skills portfolio
Learning method
- Practical projects 70% of the time on real enterprise cases
- Collaborative workshops in small groups for expert exchanges
- Individualized pedagogical support with experienced mentor
- Post-training resources: source code, videos, and community
Methods, materials and delivery
The Training OpenAI Agents SDK 2026 - High-Performance 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 - High-Performance 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 - High-Performance 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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