Develop Search and Agents with AI Applications
In this course, you learn how to use Vertex AI Search and Conversational Agents to create search engines and chat applications. You will learn how to leverage Vertex AI Search for grounding your gen AI-powered applications. You will then explore how to integrate these search engines and chat applications into your own applications. Finally, you learn how to use the agents built in AI Applications in multi-agent workflows.
Ce que vous allez apprendre
- Explore Vertex AI as a platform for enterprise-ready generative AI.
- Create and deploy a search engine using Vertex AI Search.
- Ground outputs from foundation models using Vertex AI Search.
- Create a chat application using natural language in Conversational Agents.
- Integrate your agents into multi-agent workflows using Agent Development Kit and Vertex AI Agent Builder.
Prérequis
- Knowledge of generative AI basic concepts and programming knowledge (Python)
Public cible
- Customers
Programme de la Formation
5 modules pour maîtriser les fondamentaux
Objectifs
- Explore the options in Vertex AI for generative AI.
- Identify the role of AI Applications: Search, Recommendations, and Agents.
- Examine use cases for Vertex AI Search and Agents.
Sujets abordés
- →Vertex AI for generative AI
- →AI Applications: Search, Recommendations, and Agents
- →Use cases for Vertex AI Search and Agents
Quality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
- Guided Labs — Guided practical exercises on software, hardware, or technical environments.
- Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Prochaines sessions
Aucune date ne vous convient ?
Nous organisons régulièrement de nouvelles sessions. Contactez-nous pour connaître les prochaines dates disponibles ou pour organiser une session à la date de votre choix.
S'inscrire à une date personnaliséeFormer plusieurs collaborateurs
- Tarifs dégressifs (plusieurs places)
- Session privée ou sur-mesure
- En présentiel ou à distance