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
- Understand the Cloud AI Platform ecosystem (Google Cloud)
- Deploy and automate Machine Learning models at scale
- Design robust and automated data pipelines
- Optimize costs and performance of AI solutions on the Cloud
- Ensure security and compliance of data and AI models
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 1Introduction, Environment & ML Pipeline
Detailed presentation of Cloud AI Platform and the Google Cloud AI environment. Project setup, access management, and data preparation. Building a simple Machine Learning pipeline: from dataset to model deployment. Hands-on experience with the interface, API, and monitoring tools.
Module 2Deployment, Automation and Monitoring
Advanced model deployment with AI Platform (version management, endpoints, batch prediction). Implementing automation via AI pipelines: Cloud Functions, Dataflow, and Kubeflow Pipelines. Monitoring performance, alerts, model interpretability, and maintenance management. Optimizing cloud resource costs for ML.
Module 3Security, Governance and Real-World Applications
Access management, security, and GDPR/ISO compliance. Best practices for handling sensitive data. Implementing AI model governance (audits, reproducibility). Real-world case studies: image processing, NLP, business applications. Individual coaching and practical workshops; deployment on a use case provided by each participant.
Evaluation method
- Supervised practical exercises at the end of each module
- Complete deployment project of an AI model on Cloud AI Platform
- Final multiple-choice quiz to assess skills
Learning method
- Interactive courses with live demonstrations
- Case studies and real-world experience feedback
- Practical workshops on a continuous project
- Downloadable training materials
- Access to a cloud sandbox for guided exercises
Methods, materials and delivery
The Training Cloud AI Platform: Mastering Artificial Intelligence on the Cloud 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 Cloud AI Platform: Mastering Artificial Intelligence on the Cloud 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 Cloud AI Platform: Mastering Artificial Intelligence on the Cloud 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 Cloud AI Platform: Mastering Artificial Intelligence on the Cloud training cost?+
The individual price is $3,465 (USD). A detailed quote is sent within one business day.
How long is the Training Cloud AI Platform: Mastering Artificial Intelligence on the Cloud training?+
The training lasts 3 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 Machine Learning basics and cloud environments (VM, storage, and IAM access concepts).
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.
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