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 new TensorFlow 2026 APIs for distributed training in certified professional training
- Develop optimized MLOps pipelines integrating TensorFlow and PyTorch for innovative companies
- Design scalable AI models with TensorFlow 2026 hardware optimizations
- Implement automated monitoring and retraining workflows with expert skills
- Optimize deep learning model performance for rapid production deployments
- Integrate TensorFlow 2026 into hybrid MLOps stacks to boost professional competitiveness
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 1TensorFlow 2026 Fundamentals: Advanced APIs and Hardware Optimizations (TensorFlow, TPU v5)
Discover the major evolutions of TensorFlow 2026 with a focus on new APIs for distributed training, explore native integrations with TPU v5 and Ampere GPUs, perform practical exercises on massive datasets like ImageNet, set up multi-node sessions in real-time, produce your first scalable models, and analyze performance gains via concrete benchmarks, all in interactive remote format for immediate enterprise application.
Module 2TensorFlow 2026 and MLOps: Hybrid CI/CD Pipelines (TensorFlow Extended, Kubeflow)
Dive into TensorFlow 2026 MLOps integration via TensorFlow Extended and Kubeflow, build end-to-end automated pipelines for feature engineering and serving, test deployments on Kubernetes with integrated Prometheus monitoring, develop Python scripts for model A/B testing, generate drift detection reports, and optimize AWS/GCP cloud costs, applying these skills to a real e-commerce case study for immediate professional results.
Module 3Advanced TensorFlow 2026: PyTorch-TensorFlow Hybrid Models (ONNX, quantization)
Master TensorFlow 2026 interoperability with PyTorch via ONNX Runtime and dynamic quantization, migrate existing models in just a few lines of code, train hybrid GANs and Transformers on multimodal datasets, implement pruning techniques to reduce latency by 60%, evaluate cross-framework performance on edge devices, and produce deployable deliverables for mobile and IoT, enhancing your expert skills in modern ML stacks.
Module 4Expert TensorFlow 2026 Deployment: Scaling and Monitoring (TensorFlow Serving, MLflow)
Conclude with production deployment of TensorFlow 2026 using TensorFlow Serving and MLflow, configure auto-scalers for 1M+ predictions per day, integrate observability tools like Grafana for bias detection, simulate live failure recovery scenarios, optimize costs via spot instances, and generate a complete MLOps project portfolio with source code and dashboards, ready for Qualiopi certification and enterprise integration.
Evaluation method
- Daily technical quizzes on TensorFlow 2026 APIs and MLOps
- Final project: hybrid MLOps pipeline deployed in simulated production
- Qualiopi certificate issued after practical exam and expert MCQ
Learning method
- 70% hands-on: live coding workshops on Colab Pro and Jupyter
- 30% theory: insights from Fortune 500 industrial case studies
- Pair-programming exercises for immediate feedback in remote format
- Post-training resources: private GitHub repo and replay videos
Methods, materials and delivery
The Training TensorFlow 2026 - Mastering Advanced MLOps Pipelines 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 TensorFlow 2026 - Mastering Advanced MLOps Pipelines 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 TensorFlow 2026 - Mastering Advanced MLOps Pipelines 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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