Multi-agent collaboration patterns (planner, critic, executor); Using CrewAI to coordinate roles and goals; Designing modular, role-based workflows; Preparing agents for real-world applications.

Components: planning, memory, tools, and environment; Frameworks overview: LangChain, CrewAI, LlamaIndex; The Agent Loop: perception → reasoning → action → feedback; Examples of orchestration and coordination.

Introduction to Google AI Developer Kit (ADK) and Gemini models; setting up the environment and connecting to Google AI Studio APIs; example: deploying an agent using ADK tools for retrieval and tool integration; optional track for participants interested in Google’s ecosystem; mentors assist others starting on different frameworks (e.g., LangChain or CrewAI).

Introduction to Google AI Developer Kit (ADK) and Gemini models; Setting up the environment and connecting to Google AI Studio APIs; Example: Deploying an agent using ADK tools for retrieval and tool integration; Optional track for participants interested in Google's ecosystem; Mentors assist others starting on different frameworks (e.g., LangChain or CrewAI)

Introduction to Google AI Developer Kit (ADK) and Gemini models; Setting up the environment and connecting to Google AI Studio APIs; Example: Deploying an agent using ADK tools for retrieval and tool integration; Optional track for participants interested in Google’s ecosystem; Mentors assist others starting on different frameworks (e.g., LangChain or CrewAI).

Introduction to Google AI Developer Kit (ADK) and Gemini models; Setting up the environment and connecting to Google AI Studio APIs; Example: Deploying an agent using ADK tools for retrieval and tool integration; Optional track for participants interested in Google’s ecosystem; Mentors assist others starting on different frameworks (e.g., LangChain or CrewAI)

L’IA, ce n’est pas que ChatGPT. Dans ce webinaire gratuit et en direct, découvrez comment les pros utilisent l’IA pour gagner en productivité, automatiser leurs tâches et prendre de meilleures décisions — sans aucun prérequis technique. Vous explorerez des cas d’usage concrets sur 3 niveaux : Débutant (ChatGPT + Make), Intermédiaire (Seek.ai, MindsDB), et Avancé (LangChain, CrewAI) — le tout en version pratique et adaptée au monde pro. Ce que vous allez apprendre : Aller plus loin que les prompts classiques avec des usages concrets; Des outils pour automatiser vos contenus, process et analyses; Comprendre ce qu’est l’IA agentique — et pourquoi c’est clé pour votre métier; Des ressources et templates pour appliquer ce que vous apprenez tout de suite.

In this session, I will be discussing Google Gemini, plays games: multi-agent games with CrewAI and VertexAI