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 Flowise 2026 to create complex AI workflows in certified professional training
- Develop advanced skills in AI-Unity integration for immersive games in a corporate setting
- Design intelligent agents with Unreal Engine via Flowise 2026 to optimize game design
- Implement custom LLM pipelines boosting development studio performance
- Optimize no-code Flowise workflows for rapid, certified skill advancement
- Deploy scalable AI solutions tailored to professional video game team needs
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 1Flowise 2026 Fundamentals: Advanced Architecture and Unity Integration (LLM Workflows, Custom Nodes)
Discover the modular architecture of Flowise 2026, configure advanced LLM nodes to generate dynamic dialogues in Unity, complete practical exercises on intelligent chatbots for NPCs, integrate external APIs for procedural assets, test in real-time with game prototypes, produce a first exportable certified workflow for your professional portfolio.
Module 2Flowise 2026 Optimization: Unreal Engine Pipelines and Adaptive Game Design (Scalability, Debugging)
Dive into optimizing Flowise 2026 pipelines for Unreal Engine, deploy vector flows for character AI navigation, debug multimodal chains with vision and audio, apply concrete cases of procedural level generation, measure performance via integrated metrics, collaborate in teams on an immersive game scenario, deliver a production-ready Flowise-Unreal blueprint for enterprise.
Module 3Flowise 2026 Deployment: Enterprise Solutions and Certification (Cloud Hosting, Monitoring)
Master cloud deployment of Flowise 2026 for multi-team studios, integrate advanced monitoring and automatic scaling for hybrid Unity-Unreal setups, secure sensitive LLM data via encryption, simulate live video game scenarios with real-time AI feedback, evaluate impact on player engagement, finalize a certified capstone project with professional report, receive your Qualiopi certification to enhance your skills.
Evaluation method
- Daily interactive quizzes on Flowise 2026 and Unity-Unreal integrations
- Final project: complete AI workflow deployed in a video game prototype
- Peer evaluation and certified Qualiopi expert feedback
Learning method
- Active pedagogy with 70% hands-on practice on Flowise 2026 remotely
- Advanced-level hands-on exercises tailored to video game development
- Real case studies from studios using Unity and Unreal Engine
- 3-month post-training support for enterprise implementation
Methods, materials and delivery
The Training Flowise 2026 - Integrating Advanced AI in Video Games 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 Flowise 2026 - Integrating Advanced AI in Video Games 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 Flowise 2026 - Integrating Advanced AI in Video Games 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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