Course : Google AI Studio with Gemini: Designing and Prototyping AI Use Cases
Practical course - 2d
- 14h00 - Ref. IXA
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 | Identify relevant AI use cases and align them with business objectives, security constraints, and operational success criteria. |
| Design robust prompts in Google AI Studio by structuring the context, instructions, constraints, and expected output formats. |
| Use Google AI Studio and Gemini to test text-based or multimodal scenarios and evaluate the quality of the generated responses. |
| Develop a shareable AI prototype and ensure a smooth transition to a supervised pilot or API integration. |
Intended audience
AI project managers, innovation leads, product owners, consultants, trainers, marketing teams, business analysts, data analysts, entry-level developers, digital transformation leads, and business professionals interested in experimenting with and prototyping AI use cases using Google AI Studio and Gemini.
Prerequisites
None.
Practical details
Teaching methods
A combination of lectures and hands-on exercises.
Course schedule
1 Understanding Google AI Studio and the Gemini Ecosystem
- Identify the role of Google AI Studio in prototyping AI use cases with Gemini.
- Distinguish between a test interface, a prototype, an API, and a production-ready application.
- Exploring AI applications: generation, synthesis, document analysis, code assistance, and multimodal applications.
- Understand the concepts of model, context, parameters, constraints, and output quality.
- Identify the limitations related to hallucinations, biases, sensitive data, and human validation.
Hands-on work
Selecting a business use case and developing an impact, feasibility, and risk matrix.
2 Defining an AI Use Case and Structuring Business Requirements
- Define a business problem suitable for an AI experiment.
- Identify the target users, the necessary data, and the expected results.
- Prioritize use cases based on their value, feasibility, and security constraints.
- Define the success criteria and rules for human validation of a prototype.
- Distinguish between exploratory experimentation, AI assistants, and business automation.
Hands-on work
Drafting a comprehensive scope document for a business AI use case.
3 Designing Effective Prompts in Google AI Studio
- Structure a prompt by defining its role, context, objective, constraints, and output format.
- Use examples and counterexamples to improve the generated responses.
- Break down a complex task into steps that the model can handle.
- Adapt the tone, level of detail, and structure of responses to suit specific business contexts.
- Build a library of reusable and well-documented prompts.
Hands-on work
Creation and refinement of a library of prompts tailored to the selected use case.
4 Test, compare, and evaluate the responses generated by Gemini
- Define evaluation criteria: relevance, accuracy, clarity, and actionability.
- Compare several different prompts and analyze the differences in results.
- Identify hallucinations, approximations, and uncertain information.
- Develop a scoring rubric for AI responses and document the tests conducted.
- Determine what improvements are needed before continuing with the prototype.
Hands-on work
Comparative analysis of several AI responses and creation of a quality assessment rubric.
5 Leveraging Multimodal Capabilities and Files
- Use text, images, or documents depending on the available features.
- Design prompts tailored for multimodal and documentary use cases.
- Extract useful information from business documents.
- Organize the findings in the form of a summary, checklist, table, or action plan.
- Take into account file confidentiality, format, and quality requirements.
Hands-on work
Design of a multimodal scenario involving literature review and structured synthesis.
6 Preparing to Migrate to the Gemini API
- Understanding the Role of the Gemini API in an AI Prototype.
- Identify the essential parameters of an API call and the elements to be passed to the model.
- Read and adapt a sample code generated by Google AI Studio.
- Implement best practices for managing API keys and user access.
- Anticipate constraints related to quotas, costs, maintenance, and security.
Hands-on work
Drafting a brief set of specifications for a business API integration.
7 Design an AI mini-prototype with Google AI Studio
- Convert a single prompt into a structured user scenario.
- Define the tasks handled by an AI business assistant.
- Define the interactions, limitations, and rules for using the prototype.
- Prepare a clear and actionable demonstration for a business or project team.
- Document the assumptions, success criteria, and conditions of use.
Hands-on work
Design and demonstration of a mini AI prototype in Google AI Studio.
8 Govern and Ensure the Safety of AI Experiments
- Identify permitted, sensitive, and prohibited data in prompts.
- Implement human validation rules before operational use.
- Document the prompts, parameters, and results to ensure traceability.
- Establish a framework for responsible use and an internal validation process. Prepare a plan for the phased rollout of AI prototypes within the organization.
Hands-on work
Development of a responsible use policy and a 90-day implementation plan.
PARTICIPANTS
AI project managers, innovation leads, product owners, consultants, trainers, marketing teams, business analysts, data analysts, entry-level developers, digital transformation leads, and business professionals interested in experimenting with and prototyping AI use cases using Google AI Studio and Gemini.
PREREQUISITES
None.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
AI project managers, innovation leads, product owners, consultants, trainers, marketing teams, business analysts, data analysts, entry-level developers, digital transformation leads, and business professionals interested in experimenting with and prototyping AI use cases using Google AI Studio and Gemini.
PREREQUISITES
None.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.
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This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.