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 fundamentals of the OpenAI Agents SDK 2026 in certified professional training
- Develop autonomous AI agents to automate business tasks
- Implement tools and workflows with the SDK to boost developer skills
- Design intelligent agents integrating reasoning and external actions
- Optimize agent performance for scalable professional applications
- Acquire certified skills in agentic AI adapted to the business world
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: Installation and First Agents (Python, API, Basic Tools)
Discover the quick installation of the OpenAI Agents SDK 2026 via pip and secure API key configuration, install essential dependencies like openai and langchain, create your first simple agent that responds to basic queries, complete practical exercises on defining clear instructions and test real-time interactions, produce a functional deliverable: a basic chat agent deployed locally, consolidate your skills with concrete cases of daily business automation.
Module 2OpenAI Agents SDK 2026 Development: Advanced Tools and Workflows (Reasoning, External Actions, Memory)
Dive into the integrated tools of the OpenAI Agents SDK 2026 to add multi-step reasoning and external actions via third-party APIs like Google Search or email, configure persistent memory for rich contextual conversations, develop complex workflows with decision loops and robust error handling, practice on real cases like data report automation, generate multi-task collaborative agents, obtain a deliverable: an automated workflow agent ready for business production.
Module 3OpenAI Agents SDK 2026 Deployment: Optimization and Integration (Scalability, Monitoring, Security)
Master the deployment of OpenAI Agents SDK 2026 agents on cloud platforms like Vercel or AWS with Docker containers, optimize API costs and performance via fine-tuned prompting and intelligent caching, integrate security with OAuth authentication and advanced logging, test in real conditions with monitoring via LangSmith, deploy a scalable agent for critical enterprise tasks, finalize with a capstone project: autonomous AI agent integrated into a business system, receive expert feedback and skills certification.
Evaluation method
- Daily interactive quizzes on key SDK concepts
- Practical evaluations with individualized feedback per day
- Final capstone project: deployed AI agent graded on professional criteria
- Qualiopi certifying attestation validating beginner skills
Learning method
- Hands-on method: 70% practice, 30% theory for maximum retention
- Progressive exercises on real business cases and OpenAI datasets
- Live support in small groups of max 10 for instant questions
- Session replays + post-training resources for autonomous review
- Alumni community for ongoing exchanges and collaborative projects
Methods, materials and delivery
The Training OpenAI Agents SDK 2026 - Creating 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 - 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 Agents SDK 2026 - 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
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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