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 LightGBM for a certified professional IoT training
- Develop skills in gradient boosting to analyze sensor data
- Design fast predictive models adapted to IoT constraints
- Implement LightGBM with MQTT and LoRa for embedded applications
- Optimize ML performance in business to reduce analysis costs
- Deploy LightGBM pipelines in real IoT scenarios
- Acquire certified skills to boost your career in IoT data
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 1LightGBM Fundamentals: Installation and First Models (Python, IoT Datasets)
Discover LightGBM through guided installation on Jupyter, explore real IoT sensor datasets to create your first classification model, practice train/test splits with interactive exercises, visualize generated decision trees, and produce an initial performance report with precise metrics like accuracy and F1-score, while integrating concrete MQTT data analysis cases.
Module 2Advanced LightGBM: Hyperparameters and Optimization (GridSearch, LoRa Sensors)
Dive into tuning hyperparameters num_leaves and learning_rate on large IoT datasets, use GridSearchCV to optimize models, apply cross-validation techniques on sensor signals, compare LightGBM to XGBoost via practical benchmarks, generate ROC and PR curves, and deploy an optimized model to predict anomalies in real-time on LoRa networks.
Module 3LightGBM in IoT: Sensor Integration and MQTT (Sensor Data, Pipelines)
Integrate LightGBM with MQTT streams for real-time sensor data processing, build end-to-end pipelines with pandas and scikit-learn, simulate embedded IoT scenarios through practical exercises, handle missing data and sensor-specific outliers, visualize predictions with Plotly, and validate performance on industrial use cases like predictive maintenance.
Module 4Scalable LightGBM: Feature Engineering and Deployment (LoRaWAN, Docker)
Master feature engineering for heterogeneous IoT data, apply LightGBM to large volumes using Dask, prepare models for LoRaWAN deployment, containerize with Docker for edge computing, test latency in real simulations, optimize memory for constrained devices, and produce a deployable deliverable with a Flask API integrating MQTT.
Module 5LightGBM in Production IoT: Monitoring and Real Cases (MLOps, Certification)
Deploy LightGBM in production with monitoring via MLflow, analyze model drift on continuous sensor streams, implement automated retraining for dynamic IoT, review business case studies using LightGBM with LoRa, assess your skills via a final certifying project, and leave with a concrete portfolio to showcase your new professional skills.
Evaluation method
- Daily interactive quizzes on LightGBM and IoT concepts
- Final project: predictive model on real sensor datasets
- Qualiopi certificate awarded after 80% success on exercises
Learning method
- 70% hands-on: live coding, exercises on real IoT datasets
- 30% theory: clear concepts with LightGBM demos
- Remote platform: replays, forums, 24h support
- Max 10 participants: real-time personalized coaching
Methods, materials and delivery
The Training LightGBM - Optimize IoT Data Analysis 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 LightGBM - Optimize IoT Data Analysis 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 LightGBM - Optimize IoT Data Analysis 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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