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 Google Cloud TPUs for ultra-fast professional deep learning training
- Configure optimized TPU v5p clusters for enterprise models
- Develop scalable training pipelines with XLA and JAX
- Optimize TPU performance to reduce cloud costs by 70%
- Implement certified TPU production deployment workflows
- Design hybrid CPU/TPU architectures for advanced deep learning skills
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 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 1Google Cloud TPU Fundamentals: Configuration and Initial Benchmarks (TensorFlow, JAX, XLA)
Dive into the Google Cloud TPU environment with creation of v5p clusters, hands-on with the Vertex AI console, installation of TensorFlow and JAX libraries adapted to accelerators, execution of benchmarks on ImageNet datasets, comparison of GPU vs TPU performance, practical exercises to measure x10 acceleration, production of initial optimization reports applicable in enterprise settings.
Module 2Google Cloud TPU Optimization: XLA Compilation and Model Sharding (Pod Strategies, Multi-Slicing)
Deepen XLA compilation for TPU with transformation of PyTorch/TensorFlow models, implement automatic and manual sharding on TPU slices, test Transformer architectures on massive datasets like C4, analyze bottlenecks via TensorBoard Cloud, perform optimization exercises reducing training time by 50%, generate reusable configuration deliverables for professional projects.
Module 3Advanced Google Cloud TPU Pipelines: Distributed Training and Fine-Tuning (Vertex AI, Kubeflow)
Build end-to-end pipelines on Vertex AI with Kubeflow orchestration for TPU Pods, integrate fine-tuning of LLMs like Gemini on custom datasets, manage multi-host distribution with AllReduce, simulate enterprise cases with 1B parameters, perform automated hyperparameter tuning, produce production-ready trained models, evaluate gains in accuracy and speed to demonstrate immediate ROI.
Module 4Google Cloud TPU Production Deployment: Monitoring and Scaling (Cloud Run, Autoscaling, Security)
Deploy your TPU models in serving with Cloud Run and intelligent autoscaling, configure advanced monitoring via Cloud Monitoring for latency and costs, integrate IAM and VPC security for enterprise environments, test high-load serving on real inferences, optimize costs with TPU spot instances, finalize a complete ongoing project with performance dashboard, prepare TPU skills certifications for career boost.
Evaluation method
- Expert multiple-choice quiz to validate TPU knowledge at the end of the training
- Continuous evaluation through practical benchmarks and optimizations
- Defense of the TPU deep learning pipeline in front of the trainer
Learning method
- Courses led by an active Google Cloud TPU expert
- Practical exercises on real enterprise deep learning cases
- Ongoing scalable project on TPU clusters throughout the training
- Complete course materials and cloud resources provided to participants
Methods, materials and delivery
The Training Google Cloud TPU - Accelerate Deep Learning in 2026 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 Google Cloud TPU - Accelerate Deep Learning in 2026 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 Google Cloud TPU - Accelerate Deep Learning in 2026 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 Google Cloud TPU - Accelerate Deep Learning in 2026 training cost?+
The individual price is $4,620 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training Google Cloud TPU - Accelerate Deep Learning in 2026 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 mastery of TensorFlow/JAX, experience with Google Cloud Platform, large-scale deep learning training
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
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