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 APIs of the OpenAI Agents SDK 2026 for professional AI agents
- Develop multi-tool autonomous agents tailored to business needs
- Optimize agent performance and reasoning for certifiable skills
- Implement complex workflows with persistent memory and external tools
- Deploy scalable OpenAI Agents SDK 2026 solutions in production
- Design multi-agent architectures for enterprise AI projects
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 APIs and Models (Tools, Reasoning)
Discover the deep architecture of the OpenAI Agents SDK 2026 through practical exercises on extended APIs, configure agents with chain-of-thought reasoning, integrate native tools like virtual browsers and databases, analyze real business cases to identify optimal patterns, produce your first functional autonomous agent with detailed logs and unit tests, strengthening your professional skills in certified training.
Module 2Developing Autonomous Agents with OpenAI Agents SDK 2026: Multi-Tools and Memory (Exercises, Deliverables)
Dive into developing multi-tool agents with the OpenAI Agents SDK 2026, implement persistent memory via vector stores, chain complex actions like data analysis and web automation, conduct hands-on workshops on real business scenarios, generate testable deliverables like an intelligent customer support agent, optimize prompts for greater efficiency, consolidating your skills in advanced professional training.
Module 3Integration and Optimization of OpenAI Agents SDK 2026: Scalability and Security (Benchmarks, Use Cases)
Integrate the OpenAI Agents SDK 2026 into enterprise stacks like FastAPI or Vercel, optimize token costs and latencies via fine-tuning, secure agents with authentication and ethical guardrails, benchmark performance on real datasets, develop advanced use cases like multi-agent orchestration for R&D, produce monitoring dashboards, perfecting your certifiable skills for professional AI projects.
Module 4Deployment and Advanced Cases for OpenAI Agents SDK 2026: Production and Maintenance (Pipelines, Final Projects)
Deploy OpenAI Agents SDK 2026 agents in production via Docker and cloud providers, configure CI/CD pipelines for automated updates, analyze advanced cases like agents for finance or e-commerce, complete a collaborative final project with peer review, integrate monitoring and rollback strategies, receive a validated skills certificate, boosting your expertise in professional training for innovative companies.
Evaluation method
- Daily interactive quizzes on OpenAI Agents SDK 2026 APIs and tools
- Practical projects evaluated by expert trainers
- Final case study with presentation and personalized feedback
Learning method
- Learning through real projects and intensive hands-on exercises
- Practical exercises on concrete business cases
- Agile methodology adapted to advanced level
- Continuous support with post-training resources
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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