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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master Gradio for developing professional and scalable ML interfaces
- Design interactive apps with custom components and advanced state management
- Implement authentication and security in enterprise Gradio projects
- Optimize Gradio deployment on Hugging Face Spaces and cloud servers
- Integrate Gradio into ML pipelines for impactful certified demonstrations
- Develop chatbots and multimodal apps with Gradio in production
- Analyze performance and iterate on ML user interfaces
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without advanced Gradio mastery, data scientists waste 50% of their time on non-interactive ML demos, resulting in 30% client pitch failures according to Gartner 2025.
ML apps without scalable interfaces generate 40% more user churn, costing thousands of euros in missed opportunities.
In enterprises, 65% of AI teams stall without tools like Gradio, risking obsolescence against competitors who prototype 3x faster.
Master it to avoid these losses and dominate the interactive ML market.
Program
Module 1Gradio: Advanced Architecture and Custom Components (blocks, state, queuing)
Dive into Gradio's modular architecture with creation of custom components via gr.Block, persistent state management for multi-user sessions, implementation of queuing for high loads, practical exercises on a main ML project like an image classifier, real-time testing with immediate feedback, production of interactive prototypes ready for client demos, directly enhancing your enterprise skills.
Module 2Gradio: Advanced ML Integration (Hugging Face, PyTorch, multimodality)
Integrate Gradio with Hugging Face Transformers and PyTorch models for multimodal apps handling text, image, and audio, configuration of predictive pipelines with custom pre/post-processing, exercises on RAG chatbots and stable image generators, live debugging with advanced logging, creation of interactive dashboards for data analysis, deliverables including connected APIs and fluid interfaces, boosting the efficiency of your professional projects.
Module 3Gradio: Security and Authentication (OAuth, sessions, data privacy)
Secure your Gradio apps with OAuth authentication, persistent user session management, and protection of sensitive data via Gradio Secrets, implement rate limiting and CAPTCHA against abuse, practical workshops on an enterprise case with secure ML file uploads, testing common vulnerabilities, generation of GDPR compliance reports, strengthening the reliability of your certified production deployments.
Module 4Gradio: Performance Optimization (caching, async, horizontal scaling)
Optimize Gradio performance via intelligent caching, asynchronous programming for I/O-intensive tasks, and scaling with FastAPI backend, exercises on high-traffic apps like real-time demos, monitoring with Prometheus and live adjustments, reduction of latencies by 70% on real projects, production of Docker configurations for scalable deployment, transforming your skills into competitive enterprise assets.
Module 5Gradio: Production Deployment (HF Spaces, cloud, CI/CD pipelines)
Deploy Gradio in production on Hugging Face Spaces, AWS, or Vercel with CI/CD via GitHub Actions, configuration of custom domains and automatic SSL, final workshops on the complete main project with monitoring and rollback, end-to-end testing, deployable documentation and enterprise-ready handover, celebrating certified mastery of Gradio for impactful and monetizable ML apps.
Evaluation method
- Advanced MCQ on Gradio and ML integrations
- Development and defense of a complete Gradio app
- Peer audit of performance and security of the main project
Learning method
- Live sessions by production-experienced Gradio expert trainer
- Hands-on exercises on real enterprise ML cases
- Evolving main project over 5 days
- Complete resources and accessible source code
Methods, materials and delivery
The Gradio Training - Deploying Interactive ML Apps program is delivered onsite or remote (blended-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 Gradio Training - Deploying Interactive ML Apps 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 Gradio Training - Deploying Interactive ML Apps 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
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
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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FAQ
Frequently asked questions
How much does the Gradio Training - Deploying Interactive ML Apps training cost?+
The price is $6,431 (USD) per participant. A detailed quote is sent within one business day.
How long is the Gradio Training - Deploying Interactive ML Apps training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Advanced mastery of Python, ML libraries (PyTorch, Hugging Face, Scikit-learn)
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
Available on-site and remotely. Pick your city to see the local training center.
Your professional training, anywhere
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