Training TensorFlow 2026 - Mastering Advanced MLOps

Very demanding course · Expertise required

$3,150

  • 2 days
  • Onsite
  • 10 people max.
Ref: CFR259
10 people max.
$3,150
In-company rate: from $5,723 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty level
On-site and certification exam on quote
2 days
Onsite

Don't let this gap widen

Why this program matters

  • Companies that do not master TensorFlow 2026 lose an average of 35% productivity on their ML projects.

  • Without these skills, production timelines lengthen and costs explode.

  • Engineers risk falling behind competitors who rapidly adopt these standards.

  • Join this training to secure your position and that of your company.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,181 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

TensorFlow training objectives

  • Master the latest TensorFlow 2026 features for professional projects.
  • Develop advanced MLOps skills within the company.
  • Design robust production pipelines with TensorFlow and PyTorch.
  • Implement optimization strategies to reduce training costs.
  • Configure certifying environments tailored to business needs.
  • Optimize deployments to ensure scalability in production.

Program

TensorFlow curriculum: 2 modules over 2 days

Module 1 : Theme: TensorFlow 2026 for Advanced Architectures (tools, methods, deliverables)

Participants explore the new features of TensorFlow 2026 through practical workshops. They build complex models, integrate monitoring tools, and test versioning strategies with Git and MLflow. Real-world business cases enable the delivery of a first functional pipeline by the end of the day.

Module 2 : Theme: Advanced TensorFlow and MLOps in Production (tools, methods, deliverables)

The second day focuses on large-scale deployment. Learners configure CI/CD pipelines, optimize inferences with TensorFlow Serving, and compare performance with PyTorch. They finalize a complete deliverable including monitoring, alerting, and technical documentation ready for production.

How TensorFlow skills are assessed

  • Practical project in pairs with final presentation
  • Technical quiz on MLOps concepts
  • Self-assessment of acquired skills and personal action plan

How the TensorFlow course is taught

  • Complete course materials in PDF
  • Access to notebooks and Git repositories
  • Real use cases provided by the organization
  • Qualiopi success certificate

TensorFlow training: access and practical arrangements

The Training TensorFlow 2026 - Mastering Advanced 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 TensorFlow 2026 - Mastering Advanced 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 TensorFlow 2026 - Mastering Advanced 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.

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.

Our method

How Learni guarantees the quality of your TensorFlow training

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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

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
Enroll and offer a kit
FAQ

TensorFlow: frequently asked questions

Which tools are used in TensorFlow 2026 training?+
Hands-on work runs on tools, methods and deliverables. Those tools come from the TensorFlow 2026 program itself, delivered on site over 2 days, so participants practise on the stack they will use at work.
What can participants do after TensorFlow 2026 training?+
They can master the latest TensorFlow 2026 features for professional projects, develop advanced MLOps skills within the company and design robust production pipelines with TensorFlow and PyTorch. Those are the stated objectives of the TensorFlow 2026 program at Expert level, checked by the end-of-session assessment.
What does the TensorFlow 2026 program cover, day by day?+
Day 1: Theme: TensorFlow 2026 for Advanced Architectures (tools, methods, deliverables). Day 2: Theme: Advanced TensorFlow and MLOps in Production (tools, methods, deliverables). The TensorFlow 2026 program runs over 2 days, delivered on site.
How is TensorFlow 2026 training assessed?+
Assessment relies on practical project in pairs with final presentation, technical quiz on MLOps concepts and self-assessment of acquired skills and personal action plan. Learni issues a completion certificate together with the individual assessment report at the end of the TensorFlow 2026 program, which an L&D team can file as evidence.
How much does TensorFlow 2026 training cost per participant?+
TensorFlow 2026 training costs $3,150 per participant. For an in-company team, the flat rate starts at $5,723 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does TensorFlow 2026 training take?+
2 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for TensorFlow 2026 training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before TensorFlow 2026 training?+
Advanced mastery of Python, proven experience in TensorFlow and PyTorch, solid knowledge of cloud deployment and CI/CD pipelines.
Is a certificate issued after TensorFlow 2026 training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for TensorFlow 2026 training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere

Let's build your TensorFlow learning path.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24h · Vetted experts · USD invoicing · W-9 available
On-site & remote

TensorFlow training in your city

Available on-site and remotely. Pick your city to see the local training center.

Share in 2 clicks