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.
Training Streamlit - Developing Scalable Data Apps
Very demanding course · Expertise required
Trusted by — schools, companies and industrial groups
41,182 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
Streamlit training objectives
- Master Streamlit to design professional and certified data applications
- Develop scalable interactive dashboards for enterprise use
- Implement advanced caches and multi-sessions with Streamlit
- Optimize Streamlit app performance with st.experimental
- Integrate ML models and external APIs into Streamlit
- Deploy and secure Streamlit apps in cloud production
- Acquire expert skills for critical data projects
Program
Streamlit curriculum: 3 modules over 3 days
Module 1 : Streamlit Architecture: Designing Modular Data Apps (st.cache, layouts, sessions)
Dive into the advanced Streamlit architecture by setting up an expert environment with the latest 2026 versions, creation of a scalable red thread project integrating multi-pages and custom layouts, mastery of caching mechanisms with st.cache_data and st.cache_resource to accelerate massive data processing, practical exercises on real enterprise datasets like sales or ML predictions, development of reusable components and testing of user session persistence, production of a functional prototype with technical documentation ready for the team.
Module 2 : Advanced Streamlit Features: Interactions and ML Integrations (widgets, callbacks, Streamlit extras)
Explore expert Streamlit widgets for ultra-interactive interfaces, implement custom callbacks and real-time event handling on live data streams, seamless integration of ML models via Streamlit and libraries like Hugging Face or Scikit-learn with deployment of predictive pipelines, real enterprise cases on sentiment analysis or forecasting, use of Streamlit extensions for advanced charts and multimedia, collaborative exercises to simulate real-time KPI monitoring dashboards, completion of the red thread project with interactive features and UX optimization for professional users.
Module 3 : Streamlit Deployment: Production and Security (Streamlit Cloud, Docker, CI/CD, authentication)
Move to production by containerizing Streamlit apps with Docker and Kubernetes for enterprise scalability, configuration of automated deployments via GitHub Actions and Streamlit Community Cloud with secrets management, implementation of advanced authentication and access controls for secure environments, performance optimization with profiling and integrated monitoring, end-to-end testing on real cases like critical BI apps, expert troubleshooting on latency and scaling errors, delivery of a complete deliverable: deployed app, functional CI/CD pipeline, and maintenance guide for your IT team.
How Streamlit skills are assessed
- Expert MCQ to validate learning outcomes at the end of the training
- Continuous evaluation through practical exercises and code review
- Defense of the red thread Streamlit project in front of the certified trainer
How the Streamlit course is taught
- Courses led by a practicing Streamlit expert trainer
- Practical exercises on real enterprise data cases and open-source datasets
- Progressive red thread project over 3 days with daily iterations
- Complete PDF course materials and source code provided to each participant
Streamlit training: access and practical arrangements
The Training Streamlit - Developing Scalable Data 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 Training Streamlit - Developing Scalable Data 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 Training Streamlit - Developing Scalable Data 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.
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.
Our method
How Learni guarantees the quality of your Streamlit training
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.
Our social commitment
A school kit donated to a child for every training booked
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
FAQ
Streamlit: frequently asked questions
Which tools are used in Streamlit training?+
Hands-on work runs on st.cache, layouts, sessions, widgets, callbacks and streamlit extras. Those tools come from the Streamlit program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after Streamlit training?+
They can master Streamlit to design professional and certified data applications, develop scalable interactive dashboards for enterprise use and implement advanced caches and multi-sessions with Streamlit. Those are the stated objectives of the Streamlit program at Expert level, checked by the end-of-session assessment.
What does the Streamlit program cover, day by day?+
Day 1: Streamlit Architecture: Designing Modular Data Apps (st.cache, layouts, sessions). Day 2: Advanced Streamlit Features: Interactions and ML Integrations (widgets, callbacks, Streamlit extras). Day 3: Streamlit Deployment: Production and Security (Streamlit Cloud, Docker, CI/CD, authentication). The Streamlit program runs over 3 days, delivered on site.
How is Streamlit training assessed?+
Assessment relies on expert MCQ to validate learning outcomes at the end of the training, continuous evaluation through practical exercises and code review and defense of the red thread Streamlit project in front of the certified trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Streamlit program, which an L&D team can file as evidence.
How much does Streamlit training cost per participant?+
Streamlit training costs $4,725 per participant. For an in-company team, the flat rate starts at $8,558 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Streamlit training take?+
3 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Streamlit training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Streamlit training?+
Advanced proficiency in Python, Pandas, NumPy, Matplotlib, and web app deployment.
Is a certificate issued after Streamlit training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Streamlit training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere
Let's build your Streamlit learning path.
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