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.
Training TensorFlow Enterprise: Mastering the Industrial Deployment of Your AI Models
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Understand the TensorFlow Enterprise ecosystem and its specific benefits
- Optimize, secure, and make reliable machine learning models in production
- Deploy models at scale via Google Cloud Platform (GCP) and Kubernetes
- Implement monitoring, A/B testing, and model version management
- Automate machine learning with TFX (TensorFlow Extended)
- Ensure compliance and security of AI deployments in the enterprise
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 mastering the industrial deployment of your AI models with TensorFlow, 85 % of ML projects remain stuck in prototype, wasting an average of 250 000 € in R&D per initiative.
Incidents from failed deployments cause 40 % of enterprise cloud downtimes, with an hourly cost exceeding 30 000 € and cumulative annual revenue losses reaching 1 M€.
Your career and your team's are compromised by unfavorable internal audits, while your competitors capture an additional 25 % of market share through scaled AI.
Every month without expertise exposes your business to security breaches and accelerated obsolescence.
Program
Module 1Introduction to TensorFlow Enterprise and Best Practices for Industrialization
Presentation of TensorFlow Enterprise: overview, differences with the open-source version, GCP support. Structuring an industrial AI project: best practices, model lifecycle, setting up reproducible environments. Demonstration: preparing a Google Cloud environment suitable for TensorFlow workflows.
Module 2Optimization, Security, and Advanced Model Management
Performance optimization (TPUs, GPUs, multi-node distribution), managed infrastructures (AI Platform, Vertex AI). Securing AI models: access management, traffic regulation, reliability monitoring, backups/restorations. Workshop: Deploying a TensorFlow model in production with advanced monitoring.
Module 3Industrial Deployment and MLOps with TFX
MLOps pipeline with TensorFlow Extended (TFX): ingestion, training, validation, automated deployment. Using Docker, Kubernetes, and CI/CD for service continuity. Production deployment on GCP with versioning and rollback. Hands-on: Integrate and monitor a complete TFX pipeline.
Module 4Security, Compliance, and Operations in an Enterprise Context
Scalability management, fault tolerance, high availability. GDPR compliance, auditability, advanced logs and monitoring. Protection of APIs, models, and sensitive data. Practical workshop: securing and auditing a deployed model.
Module 5A/B Testing, Optimization, and Maintenance
Setting up A/B testing, shadow deployment, post-production monitoring, version management. Usage metrics analysis, continuous tuning, drift anticipation. Preparing maintenance, long-term support, documentation, Google Cloud support management. Complete case study: deploying a mature AI project with full lifecycle management.
Evaluation method
- Practical case studies at the end of each module
- Red thread project: deploying an AI model on GCP
- Q&A session and oral validation
- Quiz to validate knowledge at the end of the training
Learning method
- Interactive courses alternating theory and practice
- Demonstrations and guided exercises on cloud infrastructure
- Provision of digital training materials
- Access to a sharing and mutual support space for participants
Methods, materials and delivery
The Training TensorFlow Enterprise: Mastering the Industrial Deployment of Your AI Models 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 TensorFlow Enterprise: Mastering the Industrial Deployment of Your AI Models 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 Enterprise: Mastering the Industrial Deployment of Your AI Models 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 TensorFlow Enterprise: Mastering the Industrial Deployment of Your AI Models training cost?+
The price is $5,775 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training TensorFlow Enterprise: Mastering the Industrial Deployment of Your AI Models training?+
The training lasts 5 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?+
Mastery of Python, basic knowledge of deep learning and cloud environments (GCP or equivalent)
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
This training across cities
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