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 MapStruct for complex mappings in professional MLOps pipelines
- Develop advanced mappers integrating TensorFlow and PyTorch in certifying applications
- Design optimized mapping strategies for data-driven companies
- Implement decorators and custom views with MapStruct in ML context
- Optimize mapping performance to scale MLOps skills
- Deploy robust MapStruct solutions in corporate certifying training
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 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 1MapStruct Fundamentals: Advanced Object Mappings for MLOps (TensorFlow Integration)
Discover advanced MapStruct decorators for mapping complex entities to TensorFlow models, apply practical exercises on real ML datasets, configure after/before methods to validate transformations, generate automated mappers via Maven, test performance on concrete enterprise cases, produce an optimized production-ready mapper deliverable for MLOps.
Module 2MapStruct and PyTorch: Custom Views and Inheritance in MLOps
Dive into qualified views in MapStruct for targeted PyTorch mappings, implement mapper inheritance for ML object hierarchies, conduct workshops on tensor-dataframe conversions, integrate Java expressions for advanced business logic, debug circular mapping cycles, validate with JUnit unit tests, obtain a deployable PyTorch mapper prototype for MLOps pipelines.
Module 3MapStruct Optimization: Performance and MLOps Pipelines (TensorFlow/PyTorch)
Optimize MapStruct for large data volumes in MLOps using profiling tools, configure lazy loading strategies to avoid memory overloads, apply comparative benchmarks for TensorFlow vs PyTorch mappings, integrate Spring projections for ML REST APIs, simulate Kubernetes deployments, analyze bottlenecks with VisualVM, deliver an optimization report with quantified metrics for enterprise.
Module 4Deploying MapStruct in Production MLOps: CI/CD and Monitoring
Deploy MapStruct in CI/CD pipelines with GitHub Actions for MLOps, integrate Prometheus monitoring for TensorFlow/PyTorch mappers, manage incremental updates without downtime, test resilience with chaos engineering, write Swagger documentation for mapping APIs, finalize a complete capstone project, receive certification for advanced MapStruct skills in professional enterprise settings.
Evaluation method
- Daily technical quizzes on MapStruct and MLOps
- Final project: complete ML pipeline mapper with TensorFlow/PyTorch
- Qualiopi certifying attestation validating advanced skills
Learning method
- 70% practical exercises on real MLOps cases
- Live demos with shared IDE in interactive remote format
- Personalized feedback from expert trainer daily
- Post-training resources: source code, replay videos
Methods, materials and delivery
The Training MapStruct - Mastering Advanced Mappings in MLOps 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 MapStruct - Mastering Advanced Mappings in MLOps 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 MapStruct - Mastering Advanced Mappings in MLOps 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 Training MapStruct - Mastering Advanced Mappings in MLOps training cost?+
The individual price is $4,620 (USD). A detailed quote is sent within one business day.
How long is the Training MapStruct - Mastering Advanced Mappings in MLOps training?+
The training lasts 4 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 proficiency in Java, Spring Boot, fundamentals in Machine Learning with TensorFlow or PyTorch, professional development experience
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.
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