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Training Google AI Studio: Mastering the Creation and Deployment of AI Models

Course created on July 27, 2026Updated on October 5, 2026

On quote

2 days
Onsite
8 people max.

Request a quote See the program

Ref: HXQ859

8 people max.

On quote

In-company rate: on quote

On-site and certification exam on quote

2 days

Onsite

Don't let this gap widen

Why this program matters

Without mastery of AI model creation and deployment, your AI projects fail systematically, wasting weeks of development.
Companies lose an average of 45 000 € per failed deployment, and 70 % of production incidents are caused by configuration or optimization errors.
This exposes your business to 25 % market share losses and stalls your career against agile competitors.
Every quarter without these skills, the lag accumulates, making recovery impossible.

Trusted by — schools, companies and industrial groups

25,714 programs · 25 countries

Every program built with a dedicated engineer

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

Learning objectives

Discover the Google AI Studio ecosystem and its main features
Set up and organize your workspace in Google AI Studio
Import, prepare, and manipulate datasets for AI
Create, train, and optimize machine learning models with Google AI Studio
Deploy AI models on Google Cloud and integrate them into applications
Ensure tracking, evaluation, and monitoring of deployed models

Program

Module 1Introduction to Google AI Studio and Data Preparation

Presentation of Google AI Studio and Google Cloud AI services; account creation, interface overview, navigation, and project organization. Importing datasets, cleaning, exploration, and visualization in the studio. First practical steps: getting started with the collaborative environment and managing cloud resources.

Module 2Creation, Training, and Optimization of AI Models

Defining an AI project, selecting and importing pre-defined models or creating a custom model. Training setup, hyperparameter management, launching learning tasks. Analysis of results, interpretation of metrics, experimentation, and iteration to optimize performance. Use of integrated notebooks and leveraging generative AI (Vertex AI, Gemini models, etc.).

Module 3Deployment, Integration, and Monitoring of AI Models

Preparation and deployment of a trained model via Google AI Studio on Google Cloud. Production deployment, API creation, and integration into a real application. Online performance tracking and monitoring, scalability management, security best practices, and model governance. Concrete case studies and exercises for complete AI cycle implementation.

Evaluation method

Quizzes and MCQs at the end of each module
Practical case study: creation and deployment of a complete model at the end of the training

Learning method

Interactive courses with live demonstrations on the platform
Guided practical workshops and directed exercises
Digital course materials, Google AI Studio documentation, access to tutorials and example models

Methods, materials and delivery

The Training Google AI Studio: Mastering the Creation and Deployment of 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 Google AI Studio: Mastering the Creation and Deployment of 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 Google AI Studio: Mastering the Creation and Deployment of 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.

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

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.

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

Frequently asked questions

What can participants do after Google AI Studio: Mastering the Creation and Deployment of AI Models training?+

They can discover the Google AI Studio ecosystem and its main features, set up and organize your workspace in Google AI Studio and import, prepare, and manipulate datasets for AI. Those are the stated objectives of the Google AI Studio: Mastering the Creation and Deployment of AI Models program at Intermediate level, checked by the end-of-session assessment.

What does the Google AI Studio: Mastering the Creation and Deployment of AI Models program cover, day by day?+

Day 1: Introduction to Google AI Studio and Data Preparation. Day 2: Creation, Training, and Optimization of AI Models. Day 3: Deployment, Integration, and Monitoring of AI Models. The Google AI Studio: Mastering the Creation and Deployment of AI Models program runs over 2 days, delivered on site.

How is Google AI Studio: Mastering the Creation and Deployment of AI Models training assessed?+

Assessment relies on quizzes and MCQs at the end of each module and practical case study: creation and deployment of a complete model at the end of the training. Learni issues a completion certificate together with the individual assessment report at the end of the Google AI Studio: Mastering the Creation and Deployment of AI Models program, which an L&D team can file as evidence.

How much does Google AI Studio: Mastering the Creation and Deployment of AI Models training cost per participant?+

Google AI Studio: Mastering the Creation and Deployment of AI Models training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.

How long does Google AI Studio: Mastering the Creation and Deployment of AI Models 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 Google AI Studio: Mastering the Creation and Deployment of AI Models 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 Google AI Studio: Mastering the Creation and Deployment of AI Models training?+

Basic knowledge of Python programming and notions of machine learning.

Is a certificate issued after Google AI Studio: Mastering the Creation and Deployment of AI Models 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 Google AI Studio: Mastering the Creation and Deployment of AI Models 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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