Training ServiceNow 2026 - Mastering MLOps with TensorFlow PyTorch

$3,465

  • 3 days
  • Onsite
  • 10 people max.
Ref: HYG398
10 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastering ServiceNow 2026 in MLOps, 65% of enterprise AI projects fail in the production phase according to Gartner, resulting in 2,5 millions d'euros in annual losses from missed predictive failures.

  • IT teams lose competitiveness against automated competitors, risking mass layoffs at 40% of non-upskilled firms.

  • Your career stagnates without integrated TensorFlow PyTorch skills, blocking promotions and 25% higher salaries.

  • Invest now to secure your organization's AI future.

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

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

ServiceNow training objectives

  • Master ServiceNow 2026 workflows integrating TensorFlow for high-performance ML models
  • Develop automated MLOps pipelines with PyTorch in a professional certifying environment
  • Design scalable AI solutions for the enterprise via ServiceNow 2026
  • Implement optimized continuous MLOps deployments for production
  • Enhance professional training skills on TensorFlow and PyTorch
  • Deploy real-world Machine Learning use cases to boost enterprise competitiveness

ServiceNow curriculum: 3 modules over 3 days

Module 1 : ServiceNow 2026: MLOps Fundamentals with TensorFlow (pipelines, modeling)

Discover the advanced basics of ServiceNow 2026 to integrate TensorFlow into automated workflows, set up cloud development environments, perform practical exercises on creating predictive ML models, test real enterprise datasets, produce your first deployable pipelines with integrated monitoring, and validate functional deliverables ready for production by the end of the day.

Module 2 : ServiceNow 2026: Advanced PyTorch and MLOps Orchestration (optimization, scaling)

Dive into PyTorch within ServiceNow 2026 to optimize complex neural networks, orchestrate multi-container deployments via integrated Kubernetes, practice real enterprise cases such as IT maintenance prediction, analyze performance with native dashboards, adjust hyperparameters in real-time, and generate automated reports serving as a basis for certifying audits.

Module 3 : ServiceNow 2026: Complete MLOps Projects (TensorFlow PyTorch, governance)

Build an end-to-end project combining TensorFlow and PyTorch on ServiceNow 2026, implement MLOps governance with advanced CI/CD, simulate critical enterprise scenarios such as predictive analysis of IT flows, integrate secure APIs for production, evaluate model resilience via stress tests, and finalize with deployable deliverables including certifying documentation for your professional portfolio.

How ServiceNow skills are assessed

  • Daily interactive quizzes on ServiceNow 2026, TensorFlow, and PyTorch tools
  • Group practical MLOps project with personalized feedback
  • Qualiopi certificate issued after final exam and certifying QCM

How the ServiceNow course is taught

  • 70% hands-on: workshops on ServiceNow 2026 and ML frameworks
  • 30% theory: MLOps concepts tailored to the enterprise
  • Agile methodology with immediate feedback from expert trainers
  • Post-training resources: replays, source code, alumni community

ServiceNow training: access and practical arrangements

The Training ServiceNow 2026 - Mastering MLOps with TensorFlow PyTorch 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 ServiceNow 2026 - Mastering MLOps with TensorFlow PyTorch 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 ServiceNow 2026 - Mastering MLOps with TensorFlow PyTorch 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 ServiceNow 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.

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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

ServiceNow: frequently asked questions

Which tools are used in ServiceNow 2026 training?+
Hands-on work runs on pipelines, modeling, optimization, scaling, tensorFlow PyTorch and governance. Those tools come from the ServiceNow 2026 program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after ServiceNow 2026 training?+
They can master ServiceNow 2026 workflows integrating TensorFlow for high-performance ML models, develop automated MLOps pipelines with PyTorch in a professional certifying environment and design scalable AI solutions for the enterprise via ServiceNow 2026. Those are the stated objectives of the ServiceNow 2026 program at Intermediate level, checked by the end-of-session assessment.
What does the ServiceNow 2026 program cover, day by day?+
Day 1: ServiceNow 2026: MLOps Fundamentals with TensorFlow (pipelines, modeling). Day 2: ServiceNow 2026: Advanced PyTorch and MLOps Orchestration (optimization, scaling). Day 3: ServiceNow 2026: Complete MLOps Projects (TensorFlow PyTorch, governance). The ServiceNow 2026 program runs over 3 days, delivered on site.
How is ServiceNow 2026 training assessed?+
Assessment relies on daily interactive quizzes on ServiceNow 2026, TensorFlow, and PyTorch tools, group practical MLOps project with personalized feedback and qualiopi certificate issued after final exam and certifying QCM. Learni issues a completion certificate together with the individual assessment report at the end of the ServiceNow 2026 program, which an L&D team can file as evidence.
How much does ServiceNow 2026 training cost per participant?+
ServiceNow 2026 training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 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 ServiceNow 2026 training take?+
3 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 ServiceNow 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 ServiceNow 2026 training?+
Basics in Python and Machine Learning, novice experience on ServiceNow, notions of DevOps and cloud deployment.
Is a certificate issued after ServiceNow 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 ServiceNow 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.
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