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email or campaign: validity checks first (sample ratio mismatch, test duration and full weeks, pre-registered metric, peeking, novelty), then effect size with confidence interval and p-value on the primary metric, guardrail metrics, segment results flagged as exploratory, and a ship, iterate or stop decision with its risk.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":5,"section":"Marketing & e-commerce","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce","title":"Marketing & e-commerce","icon":"📣"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · Validity · Primary metric · Guardrail metrics · Exploratory segments (not for decision) · Expected impact if shipped · Next step · Quality checks · Guardrails","text":"$88"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce/brand-voice-checker","kind":"article","format":"skill","slides":false,"title":"Brand voice checker","description":"Checks marketing or product copy against the brand and tone guidelines found in Drive or Confluence, never invented ones: scores each guideline rule pass or fail with the exact passage, flags risky claims (superlatives, unproven performance, green claims, health promises), readability and inclusive language, and returns a rewritten version with changes explained.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":4,"section":"Marketing & e-commerce","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini 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retro-planning.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":5,"section":"Marketing & e-commerce","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce","title":"Marketing & e-commerce","icon":"📣"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · 1. Business problem · 2. Objective · 3. Audience · 4. Insight · 5. Proposition · 6. Tone and mandatories · 7. Channels · 8. KPIs · 9. Budget and timeline · Open questions · Quality checks · Guardrails","text":"$8a"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce/competitor-watch","kind":"article","format":"skill","slides":false,"title":"Competitor watch","description":"Produces a dated competitive watch digest from the sources the user provides or that exist in Drive, Gmail, Slack and Confluence: competitor moves (launches, prices and promotions, campaigns, store openings, services, partnerships), each with date, source and confidence, ranked by impact, with implications and suggested responses for marketing and category teams.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":4,"section":"Marketing & e-commerce","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce","title":"Marketing & e-commerce","icon":"📣"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · Headlines · All signals · Patterns · To verify next time · Quality checks · Guardrails","text":"$8b"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce/customer-persona-builder","kind":"article","format":"skill","slides":false,"title":"Customer persona builder","description":"Builds evidence-based customer personas from research, reviews, survey answers, customer service themes and aggregated purchase data, framed around jobs-to-be-done and sport practice rather than stereotypes: context and triggers, functional, emotional and social jobs, barriers, decision criteria, channels, with each trait linked to evidence and a confidence level.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":4,"section":"Marketing & e-commerce","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce","title":"Marketing & e-commerce","icon":"📣"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · Overview · <Persona name — named by its job> · Open questions for research · Quality checks · Guardrails","text":"$8c"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce/email-newsletter-writer","kind":"article","format":"skill","slides":false,"title":"Email newsletter writer","description":"Writes a customer email or newsletter ready for the CRM team: goal and segment, 3 to 5 subject lines with an A/B test plan, preheader, scannable structure with one primary CTA, plain-text version, alt text, and a compliance and deliverability checklist (consent, unsubscribe link, sender identity, spam triggers).","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":4,"section":"Marketing & e-commerce","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce","title":"Marketing & e-commerce","icon":"📣"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · Subject lines · Body · Plain-text version · Alt texts · Compliance and deliverability checklist · Facts to confirm · Quality checks · Guardrails","text":"$8d"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce/marketing-performance-report","kind":"article","format":"skill","slides":false,"title":"Marketing performance report","description":"Builds a campaign or channel performance report from Tableau and Databricks: KPIs vs target and vs last year, funnel breakdown (reach, clicks, conversion, revenue), cost efficiency (CPM, CPC, CPA, ROAS), attribution caveats, incrementality evidence, three insights and next actions.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":4,"section":"Marketing & e-commerce","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce","title":"Marketing & e-commerce","icon":"📣"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · KPIs · What drove it · Insights · Caveats · Next actions · Quality checks · Guardrails","text":"$8e"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce/product-page-copy","kind":"article","format":"skill","slides":false,"title":"Product page copy","description":"Writes e-commerce product page copy from the product data sheet: SEO title, short pitch, benefit bullets by sport usage, technical specifications copied only from the source, usage and care tips, FAQ and meta title and description.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":4,"section":"Marketing & e-commerce","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce","title":"Marketing & e-commerce","icon":"📣"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · Title (≤ 70 char) · Pitch (2 sentences) · Why you'll like it · Technical specifications · Designed for / not designed for · Use and care · FAQ · SEO · Facts to confirm · Quality checks · Guardrails","text":"$8f"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce/promo-calendar-planner","kind":"article","format":"skill","slides":false,"title":"Promo calendar planner","description":"Plans a promotional and commercial calendar for a season or a year: sport seasonality peaks, sport events and school holidays, regulated sales periods, promo sequencing with cooling-off gaps, cannibalization and conflict checks, stock and margin guardrails, and a retro-planning per operation.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":4,"section":"Marketing & e-commerce","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce","title":"Marketing & e-commerce","icon":"📣"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · Calendar · Conflicts and risks · Operation sheets · <Operation name> (<dates>) · Open decisions · Quality checks · Guardrails","text":"$90"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce/seo-content-brief","kind":"article","format":"skill","slides":false,"title":"SEO content brief","description":"Produces an SEO content brief for a writer: target query and search intent, SERP format analysis, keyword cluster with a pillar and supporting pages, H1 to H3 outline, questions to answer, internal links to product and category pages, E-E-A-T evidence from real sport expertise, and on-page specs.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":4,"section":"Marketing & e-commerce","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce","title":"Marketing & e-commerce","icon":"📣"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · Intent and format · Keyword cluster · Outline · E-E-A-T evidence · Internal links · On-page specs · Measurement · Quality checks · Guardrails","text":"$91"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce/social-media-post-pack","kind":"article","format":"skill","slides":false,"title":"Social media post pack","description":"Creates a ready-to-review social media post pack for one message across several networks (Instagram, Facebook, LinkedIn, TikTok, X, YouTube Shorts): hook-first copy variants per network, hashtags, call to action, visual or video brief, WCAG-compliant alt text and captions, and a posting plan.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":4,"section":"Marketing & e-commerce","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/marketing-ecommerce","title":"Marketing & e-commerce","icon":"📣"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · Instagram (<format, ratio>) · LinkedIn · TikTok / Shorts script (<duration>) · Visual brief · Posting plan · To validate before posting · Quality checks · Guardrails","text":"$92"},{"url":"/fr/skills-gemini-enterprise/skills/product-design/competitive-product-teardown","kind":"article","format":"skill","slides":false,"title":"Competitive product teardown","description":"Compares competitor products with our own, feature by feature and benefit by benefit, using only the sources provided or found (product pages, data sheets, lab or field test reports, team teardown notes, reviews, app screenshots): claimed versus measured specs, price observed with date, design and construction choices, user experience, durability and repair signals, then table stakes, differentiators, gaps and opportunities. Works for physical sport products and digital products.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":4,"section":"Produit & conception","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/product-design","title":"Produit & conception","icon":"📐"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · Verdict · Comparison · Construction / experience notes · Gaps & opportunities · Limits of this comparison · Quality checks · Guardrails","text":"$93"},{"url":"/fr/skills-gemini-enterprise/skills/product-design/eco-design-review","kind":"article","format":"skill","slides":false,"title":"Eco-design review","description":"Reviews a sport product concept or an existing product through eco-design levers: materials and their mix, material efficiency and weight, durability, repairability and spare parts, disassembly and mono-material choices, packaging and transport volume, use phase and end of life (second-hand, rental, take-back, recycling). Produces questions, improvement options and trade-offs with performance, cost and safety, and says what needs a life cycle assessment, without inventing impact figures.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":5,"section":"Produit & conception","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/product-design","title":"Produit & conception","icon":"📐"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · Summary · Product map · Lever review · Priorities · To measure before any claim · Flags for compliance or claims · Quality checks · Guardrails","text":"$94"},{"url":"/fr/skills-gemini-enterprise/skills/product-design/field-test-protocol","kind":"article","format":"skill","slides":false,"title":"Field test protocol","description":"Designs a field or user test protocol for a physical sport product or prototype: testable hypotheses with pass criteria, tester profiles and screener, test conditions and the conditions log, objective and subjective measures with scales, comparison and blinding design, safety risk assessment with stop rules, informed consent, logistics and a ready-to-print test sheet.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":7,"section":"Produit & conception","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/product-design","title":"Produit & conception","icon":"📐"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · Hypotheses · Design · Tester profiles & screener · Conditions to log · Safety · Consent (summary; full form attached) · Analysis plan · Test sheet (one per session) · Quality checks · Guardrails","text":"$95"},{"url":"/fr/skills-gemini-enterprise/skills/product-design/prd-writer","kind":"article","format":"skill","slides":false,"title":"PRD writer","description":"Writes a product requirements document for a digital feature (Company app, e-commerce site, store or teammate tool): problem and evidence, target users and jobs, goals with metrics, non-goals, user stories, functional and non-functional requirements with priorities, UX notes, analytics events, dependencies, risks, rollout and open questions.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":5,"section":"Produit & conception","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/product-design","title":"Produit & conception","icon":"📐"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · TL;DR · 1. Problem & evidence · 2. Goals & metrics · 3. Non-goals · 4. Users & jobs · 5. Requirements · 6. Non-functional requirements · 7. UX notes · 8. Dependencies & risks · 9. Rollout & review · 10. Open questions · Quality checks · Guardrails","text":"$96"},{"url":"/fr/skills-gemini-enterprise/skills/product-design/product-brief","kind":"article","format":"skill","slides":false,"title":"Product brief","description":"Writes a product brief for a physical sport product: the target practitioner and practice level, use conditions, jobs-to-be-done and pains with evidence, the benefits to deliver, hard constraints (norms, safety, price target, timing), success metrics and the open questions to close before design starts.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":5,"section":"Produit & conception","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/product-design","title":"Produit & conception","icon":"📐"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · 1. In one sentence · 2. Target practitioner · 3. Jobs, pains, gains · 4. Benefits to deliver · 5. Constraints · 6. Success metrics · 7. Riskiest assumptions & next steps · 8. Out of scope · Quality checks · Guardrails · Example","text":"$97"},{"url":"/fr/skills-gemini-enterprise/skills/product-design/release-notes-writer","kind":"article","format":"skill","slides":false,"title":"Release notes writer","description":"Writes release notes from Jira fix versions and GitHub releases, merged pull requests or tags, in two versions: user-facing notes in plain benefit language (app store text, website or in-app what's new, store teammate tool update) and internal notes for support, stores and engineering (changes, known issues, rollout, how to report problems). Filters out invisible changes, groups by user impact and flags anything not ready to announce.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":4,"section":"Produit & conception","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/product-design","title":"Produit & conception","icon":"📐"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · User-facing notes · App store text (<n>/<limit> chars) · Internal notes (support, stores, engineering) · Not announced (please confirm) · Quality checks · Guardrails","text":"$98"},{"url":"/fr/skills-gemini-enterprise/skills/product-design/research-synthesis","kind":"article","format":"skill","slides":false,"title":"Research synthesis","description":"Synthesizes user research material (interview notes, Meet transcripts, diary entries, usability test notes, field test sheets) into evidence-backed insights: coded observations, affinity clusters, insight statements with evidence strength and counter-evidence, then opportunities framed as an opportunity solution tree.","icon":"$undefined","cover":"$undefined","tags":[],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":5,"section":"Produit & conception","trail":[{"url":"/fr/skills-gemini-enterprise","title":"Skills Gemini Enterprise","icon":"🧰"},{"url":"/fr/skills-gemini-enterprise/skills","title":"Les skills par métier","icon":"📚"},{"url":"/fr/skills-gemini-enterprise/skills/product-design","title":"Produit & conception","icon":"📐"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · Top insights · Answers to research questions · Affinity clusters · <Cluster name in the user's voice> (<n> observations, <n> participants) · Opportunity solution tree · Surprises & contradictions · Next steps · Quality checks · Guardrails","text":"$99"},{"url":"/fr/skills-gemini-enterprise/skills/product-design/roadmap-update","kind":"article","format":"skill","slides":false,"title":"Roadmap update","description":"Prepares a product roadmap update for stakeholders in now, next, later format: outcomes rather than feature lists, what shipped and what it changed, what moved and why, confidence per item, dependencies, risks and explicit asks, adapted to the audience (leadership, business teams, stores, partner teams). Pulls status from Jira, Confluence, Slack and dashboards. 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Problem and strategic fit · 2. Options · 3. Assumptions · 4. Cash flows — <option> (incremental vs do nothing) · 5. Financial summary · 6. Sensitivity and break-even · 7. Non-financial benefits and risks · 8. 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À retenir Un agent = un modèle + des instructions + des outils . ADK gère la boucle d'appel d'outils, la mémoire de session et l'orchestration multi agents. Le même code tourne en local, sur Cloud Run ou sur Agent Runtime."},{"url":"/fr/videotheque-et-ressources/videos/getting-started-adk","kind":"article","format":"video","slides":false,"title":"Getting started with Agent Development Kit","description":"Construire son premier agent avec le framework open source ADK, pas à pas.","icon":"$undefined","cover":"$undefined","tags":["adk","agents","tutoriel"],"level":"beginner","duration":"$undefined","date":"2026-10-15","premium":false,"lessons":"$undefined","minutes":1,"section":"Vidéos","trail":[{"url":"/fr/videotheque-et-ressources","title":"Vidéothèque & ressources","icon":"🎬"},{"url":"/fr/videotheque-et-ressources/videos","title":"Vidéos","icon":"▶️"}],"video":"https://www.youtube.com/watch?v=44C8u0CDtSo","link":"$undefined","platforms":[],"usecases":[],"headings":"Pourquoi la regarder","text":"Pourquoi la regarder Le tutoriel vidéo à suivre en parallèle du projet 01. [!TIP] Tapez le code en même temps que la vidéo, puis déployez le avec le Terraform du projet 01."},{"url":"/fr/videotheque-et-ressources/videos/multi-agents-adk","kind":"article","format":"video","slides":false,"title":"Foundations of multi-agent systems with ADK","description":"Les bases des systèmes multi-agents avec ADK : coordinateur, agents spécialisés et délégation.","icon":"$undefined","cover":"$undefined","tags":["adk","multi-agents","a2a"],"level":"intermediate","duration":"$undefined","date":"2026-10-15","premium":false,"lessons":"$undefined","minutes":1,"section":"Vidéos","trail":[{"url":"/fr/videotheque-et-ressources","title":"Vidéothèque & ressources","icon":"🎬"},{"url":"/fr/videotheque-et-ressources/videos","title":"Vidéos","icon":"▶️"}],"video":"https://www.youtube.com/watch?v=pX0_iIfRilU","link":"$undefined","platforms":[],"usecases":[],"headings":"Pourquoi la regarder","text":"Pourquoi la regarder Le socle théorique du projet 09 : agents multi projets, où un orchestrateur découvre et appelle d'autres agents."},{"url":"/fr/videotheque-et-ressources/videos/mcp-connecting-ai","kind":"article","format":"video","slides":false,"title":"The Model Context Protocol: Connecting AI to Everything","description":"Adam Jones (Anthropic) : ce qu'est MCP, pourquoi il existe et comment il fonctionne.","icon":"$undefined","cover":"$undefined","tags":["mcp","anthropic"],"level":"beginner","duration":"$undefined","date":"2026-10-15","premium":false,"lessons":"$undefined","minutes":1,"section":"Vidéos","trail":[{"url":"/fr/videotheque-et-ressources","title":"Vidéothèque & ressources","icon":"🎬"},{"url":"/fr/videotheque-et-ressources/videos","title":"Vidéos","icon":"▶️"}],"video":"https://www.youtube.com/watch?v=T4-BdZQUCSE","link":"$undefined","platforms":["claude"],"usecases":[],"headings":"Pourquoi la regarder · À retenir","text":"Pourquoi la regarder La façon la plus courte de comprendre MCP avant le parcours Serveurs MCP. À retenir MCP standardise la façon dont une application d'IA découvre et appelle des outils , des ressources et des prompts . Un serveur MCP s'écrit une fois et sert n'importe quel client : Claude, Gemini CLI, ADK, Gemini Enterprise."},{"url":"/fr/videotheque-et-ressources/videos/building-agents-mcp","kind":"article","format":"video","slides":false,"title":"Building Agents with Model Context Protocol","description":"Atelier d'Anthropic (Mahesh Murag) : la philosophie de MCP et comment construire des agents riches en contexte.","icon":"$undefined","cover":"$undefined","tags":["mcp","agents","anthropic","workshop"],"level":"intermediate","duration":"$undefined","date":"2026-10-15","premium":false,"lessons":"$undefined","minutes":1,"section":"Vidéos","trail":[{"url":"/fr/videotheque-et-ressources","title":"Vidéothèque & ressources","icon":"🎬"},{"url":"/fr/videotheque-et-ressources/videos","title":"Vidéos","icon":"▶️"}],"video":"https://www.youtube.com/watch?v=kQmXtrmQ5Zg","link":"$undefined","platforms":["claude"],"usecases":[],"headings":"Pourquoi la regarder","text":"Pourquoi la regarder Un atelier complet, idéal avant le projet 10 : MCP Google Sheets pour Gemini Enterprise."},{"url":"/fr/videotheque-et-ressources/depots-et-outils/adk-python","kind":"article","format":"link","slides":false,"title":"google/adk-python","description":"Le code source officiel d'Agent Development Kit (Python) : exemples, outils intégrés, déploiement.","icon":"$undefined","cover":"$undefined","tags":["adk","agents","python","open-source"],"level":"$undefined","duration":"$undefined","date":"2026-10-15","premium":false,"lessons":"$undefined","minutes":1,"section":"Dépôts & outils","trail":[{"url":"/fr/videotheque-et-ressources","title":"Vidéothèque & ressources","icon":"🎬"},{"url":"/fr/videotheque-et-ressources/depots-et-outils","title":"Dépôts & outils","icon":"🧩"}],"video":"$undefined","link":"https://github.com/google/adk-python","platforms":[],"usecases":[],"headings":"","text":"Le dépôt de référence pour tout le parcours Agents IA sur Google Cloud. Les dossiers d'exemples sont une mine d'idées."},{"url":"/fr/videotheque-et-ressources/depots-et-outils/awesome-llm-apps","kind":"article","format":"link","slides":false,"title":"Shubhamsaboo/awesome-llm-apps","description":"Une collection d'applications LLM prêtes à lancer : agents, RAG, multi-agents, MCP, avec OpenAI, Anthropic, Gemini et modèles open source.","icon":"$undefined","cover":"$undefined","tags":["llm","agents","rag","exemples"],"level":"$undefined","duration":"$undefined","date":"2026-10-15","premium":false,"lessons":"$undefined","minutes":1,"section":"Dépôts & outils","trail":[{"url":"/fr/videotheque-et-ressources","title":"Vidéothèque & ressources","icon":"🎬"},{"url":"/fr/videotheque-et-ressources/depots-et-outils","title":"Dépôts & outils","icon":"🧩"}],"video":"$undefined","link":"https://github.com/Shubhamsaboo/awesome-llm-apps","platforms":[],"usecases":[],"headings":"","text":"Idéal pour trouver une idée de projet et voir du code complet. Chaque dossier est une application indépendante avec son README."},{"url":"/fr/videotheque-et-ressources/depots-et-outils/edgequake","kind":"article","format":"link","slides":false,"title":"raphaelmansuy/edgequake","description":"Graph-RAG en Rust sur un seul Postgres (pgvector + Apache AGE), compatible avec tous les LLM.","icon":"$undefined","cover":"$undefined","tags":["graph-rag","lightrag","rust","postgres"],"level":"$undefined","duration":"$undefined","date":"2026-10-15","premium":false,"lessons":"$undefined","minutes":1,"section":"Dépôts & outils","trail":[{"url":"/fr/videotheque-et-ressources","title":"Vidéothèque & ressources","icon":"🎬"},{"url":"/fr/videotheque-et-ressources/depots-et-outils","title":"Dépôts & outils","icon":"🧩"}],"video":"$undefined","link":"https://github.com/raphaelmansuy/edgequake","platforms":[],"usecases":[],"headings":"","text":"Ma fiche de lecture complète : EdgeQuake, un Graph RAG en Rust prêt pour la production."},{"url":"/fr/videotheque-et-ressources/depots-et-outils/generative-ai-gcp","kind":"article","format":"link","slides":false,"title":"GoogleCloudPlatform/generative-ai","description":"Les notebooks et exemples officiels Google Cloud pour Gemini, la recherche, le RAG et les agents.","icon":"$undefined","cover":"$undefined","tags":["gemini","vertex-ai","notebooks","rag"],"level":"$undefined","duration":"$undefined","date":"2026-10-15","premium":false,"lessons":"$undefined","minutes":1,"section":"Dépôts & outils","trail":[{"url":"/fr/videotheque-et-ressources","title":"Vidéothèque & ressources","icon":"🎬"},{"url":"/fr/videotheque-et-ressources/depots-et-outils","title":"Dépôts & outils","icon":"🧩"}],"video":"$undefined","link":"https://github.com/GoogleCloudPlatform/generative-ai","platforms":[],"usecases":[],"headings":"","text":"À ouvrir à côté du cours RAG sur vos documents Google Drive."},{"url":"/fr/videotheque-et-ressources/depots-et-outils/mcp-servers","kind":"article","format":"link","slides":false,"title":"modelcontextprotocol/servers","description":"Les serveurs MCP de référence et l'annuaire des serveurs de la communauté.","icon":"$undefined","cover":"$undefined","tags":["mcp","open-source","outils"],"level":"$undefined","duration":"$undefined","date":"2026-10-15","premium":false,"lessons":"$undefined","minutes":1,"section":"Dépôts & outils","trail":[{"url":"/fr/videotheque-et-ressources","title":"Vidéothèque & ressources","icon":"🎬"},{"url":"/fr/videotheque-et-ressources/depots-et-outils","title":"Dépôts & outils","icon":"🧩"}],"video":"$undefined","link":"https://github.com/modelcontextprotocol/servers","platforms":[],"usecases":[],"headings":"","text":"Avant d'écrire un serveur MCP, vérifiez qu'il n'existe pas déjà ici. Pour en écrire un : parcours Serveurs MCP."},{"url":"/fr/videotheque-et-ressources/depots-et-outils/lightrag","kind":"article","format":"link","slides":false,"title":"HKUDS/LightRAG","description":"L'implémentation Python de LightRAG : graphe de connaissances + recherche vectorielle, rapide et simple.","icon":"$undefined","cover":"$undefined","tags":["graph-rag","lightrag","python","recherche"],"level":"$undefined","duration":"$undefined","date":"2026-10-15","premium":false,"lessons":"$undefined","minutes":1,"section":"Dépôts & outils","trail":[{"url":"/fr/videotheque-et-ressources","title":"Vidéothèque & ressources","icon":"🎬"},{"url":"/fr/videotheque-et-ressources/depots-et-outils","title":"Dépôts & outils","icon":"🧩"}],"video":"$undefined","link":"https://github.com/HKUDS/LightRAG","platforms":[],"usecases":[],"headings":"","text":"L'algorithme qu'EdgeQuake reprend en Rust. Papier : arXiv 2410.05779."},{"url":"/fr/videotheque-et-ressources/depots-et-outils/the-unwind-ai","kind":"article","format":"link","slides":false,"title":"The Unwind AI","description":"Newsletter et tutoriels pas à pas sur les applications LLM, les agents et le RAG.","icon":"$undefined","cover":"$undefined","tags":["veille","newsletter","agents","rag"],"level":"$undefined","duration":"$undefined","date":"2026-10-15","premium":false,"lessons":"$undefined","minutes":1,"section":"Dépôts & outils","trail":[{"url":"/fr/videotheque-et-ressources","title":"Vidéothèque & ressources","icon":"🎬"},{"url":"/fr/videotheque-et-ressources/depots-et-outils","title":"Dépôts & outils","icon":"🧩"}],"video":"$undefined","link":"https://www.theunwindai.com/","platforms":[],"usecases":[],"headings":"","text":"Une bonne source de veille hebdomadaire, par l'auteur d'awesome llm apps."},{"url":"/fr/plateformes-et-cas-d-usage/cas-d-usage/support-client","kind":"article","format":"usecase","slides":false,"title":"Automatiser le support client","description":"Répondre en quelques secondes, à toute heure, aux questions fréquentes, et passer la main à un humain quand il le faut.","icon":"💬","cover":"$undefined","tags":["support-client","agents","whatsapp"],"level":"beginner","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":1,"section":"Cas d'usage","trail":[{"url":"/fr/plateformes-et-cas-d-usage","title":"Plateformes & cas d'usage","icon":"🧭"},{"url":"/fr/plateformes-et-cas-d-usage/cas-d-usage","title":"Cas d'usage","icon":"🎯"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"Le besoin · Comment ça marche · Par où commencer","text":"Le besoin Vos clients posent souvent les mêmes questions : disponibilité, prix, suivi de commande, horaires. Ils écrivent sur WhatsApp, par e mail ou sur votre site, à toute heure. Un assistant IA peut traiter ces demandes immédiatement et transmettre les cas complexes à votre équipe, avec tout l'historique. Comment ça marche Par où commencer 1. Comprendre ce qu'un modèle sait faire, et ce qu'il ne sait pas faire : Les fondamentaux de l'IA générative . 2. Écrire les consignes de l'assistant (ton, limites, escalade) : Prompt engineering . 3. Lui donner des outils (catalogue, statut de commande) : Construire un agent IA de A à Z . 4. Mesurer la qualité avant d'ouvrir à tous les clients : Évaluer et fiabiliser une application LLM . [!TIP] Une solution prête à l'emploi comme Watpilot couvre ce cas sur WhatsApp sans développement. Les formations vous aident à bien la paramétrer, ou à construire la vôtre."},{"url":"/fr/plateformes-et-cas-d-usage/cas-d-usage/recherche-documentaire","kind":"article","format":"usecase","slides":false,"title":"Interroger ses documents","description":"Poser une question en langage naturel et obtenir une réponse sourcée à partir de vos documents internes (Drive, SharePoint, PDF).","icon":"📚","cover":"$undefined","tags":["rag","recherche-documentaire"],"level":"beginner","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":1,"section":"Cas d'usage","trail":[{"url":"/fr/plateformes-et-cas-d-usage","title":"Plateformes & cas d'usage","icon":"🧭"},{"url":"/fr/plateformes-et-cas-d-usage/cas-d-usage","title":"Cas d'usage","icon":"🎯"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"Le besoin · La technique : le RAG · Par où commencer","text":"Le besoin L'information existe, mais elle est éparpillée dans des centaines de documents. Plutôt que de chercher par mots clés, on veut demander : « quelle est la procédure de retour pour un client pro ? » et obtenir la réponse, avec le lien vers le document. La technique : le RAG Par où commencer Les fondamentaux de l'IA générative (comprendre les embeddings et la recherche sémantique). RAG sur vos documents Google Drive : quatre kits prêts à déployer, testés en vrai. Évaluer et fiabiliser une application LLM : vérifier que les réponses citent les bonnes sources."},{"url":"/fr/plateformes-et-cas-d-usage/cas-d-usage/automatisation-processus","kind":"article","format":"usecase","slides":false,"title":"Automatiser un processus métier","description":"Confier à un agent IA une suite de tâches (lire un e-mail, vérifier un stock, créer une commande, prévenir quelqu'un) avec des garde-fous.","icon":"⚙️","cover":"$undefined","tags":["agents","automatisation"],"level":"intermediate","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":1,"section":"Cas d'usage","trail":[{"url":"/fr/plateformes-et-cas-d-usage","title":"Plateformes & cas d'usage","icon":"🧭"},{"url":"/fr/plateformes-et-cas-d-usage/cas-d-usage","title":"Cas d'usage","icon":"🎯"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"Le besoin · Par où commencer","text":"Le besoin Certaines tâches répétitives demandent de lire du texte libre puis d'agir dans plusieurs outils. Un agent IA sait comprendre la demande et appeler les bons outils, dans l'ordre, en s'arrêtant quand une validation humaine est nécessaire. Par où commencer Construire un agent IA de A à Z : la boucle d'un agent, ses outils, sa mémoire. Agents IA sur Google Cloud : déployer un agent en production avec Terraform. IA responsable et sécurité des LLM : limiter ce que l'agent a le droit de faire."},{"url":"/fr/plateformes-et-cas-d-usage/cas-d-usage/analyse-donnees","kind":"article","format":"usecase","slides":false,"title":"Analyser des données en langage naturel","description":"Demander « quelles sont les ventes du mois par région ? » et obtenir le tableau, le graphique et l'explication.","icon":"📊","cover":"$undefined","tags":["data","mcp","google-sheets"],"level":"intermediate","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":1,"section":"Cas d'usage","trail":[{"url":"/fr/plateformes-et-cas-d-usage","title":"Plateformes & cas d'usage","icon":"🧭"},{"url":"/fr/plateformes-et-cas-d-usage/cas-d-usage","title":"Cas d'usage","icon":"🎯"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"Le besoin · Par où commencer","text":"Le besoin Les équipes métier ont des questions sur leurs chiffres mais pas toujours le temps ou les compétences pour écrire des formules ou du SQL. Un assistant connecté à vos tableurs ou à votre entrepôt de données peut faire ce travail, en montrant ce qu'il a calculé. Par où commencer Serveurs MCP : connecter un assistant à Google Sheets, en lecture comme en écriture. Les skills Data & analytics : des compétences prêtes à importer dans Gemini Enterprise. Évaluer et fiabiliser une application LLM : contrôler les chiffres produits."},{"url":"/fr/plateformes-et-cas-d-usage/cas-d-usage/assistant-interne","kind":"article","format":"usecase","slides":false,"title":"Déployer un assistant IA pour ses équipes","description":"Donner à chaque collaborateur un assistant qui connaît l'entreprise, en toute sécurité, et l'aider à l'adopter.","icon":"🤝","cover":"$undefined","tags":["gemini-enterprise","adoption"],"level":"beginner","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":1,"section":"Cas d'usage","trail":[{"url":"/fr/plateformes-et-cas-d-usage","title":"Plateformes & cas d'usage","icon":"🧭"},{"url":"/fr/plateformes-et-cas-d-usage/cas-d-usage","title":"Cas d'usage","icon":"🎯"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"Le besoin · Par où commencer","text":"Le besoin Les collaborateurs utilisent déjà des outils d'IA, parfois sans cadre (« shadow AI »). L'entreprise veut un assistant officiel, connecté à ses outils, avec des règles claires sur les données. Par où commencer Les fondamentaux de l'IA générative pour tous. Skills Gemini Enterprise : 160 compétences métier prêtes à l'emploi. Sécuriser Gemini Enterprise et IA responsable et sécurité des LLM pour les équipes IT et conformité."},{"url":"/fr/plateformes-et-cas-d-usage/cas-d-usage/generation-contenu","kind":"article","format":"usecase","slides":false,"title":"Produire du contenu plus vite","description":"Rédiger, reformuler, traduire et résumer des textes (e-mails, fiches produit, comptes rendus) avec une qualité constante.","icon":"✍️","cover":"$undefined","tags":["prompt","generation-contenu"],"level":"beginner","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":1,"section":"Cas d'usage","trail":[{"url":"/fr/plateformes-et-cas-d-usage","title":"Plateformes & cas d'usage","icon":"🧭"},{"url":"/fr/plateformes-et-cas-d-usage/cas-d-usage","title":"Cas d'usage","icon":"🎯"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"Le besoin · Par où commencer","text":"Le besoin Rédiger prend du temps, et la qualité varie d'une personne à l'autre. Avec de bonnes consignes et des modèles réutilisables, un assistant IA produit un premier jet fiable que vous relisez et ajustez. Par où commencer Prompt engineering : de la consigne au système fiable . La Checklist prompt engineering avant de partager un prompt avec votre équipe."},{"url":"/fr/plateformes-et-cas-d-usage/plateformes/watpilot","kind":"article","format":"platform","slides":false,"title":"Watpilot","description":"Assistant IA pour WhatsApp Business : il répond aux clients en quelques secondes, prend les commandes et les rendez-vous, et passe la main à un humain quand il le faut.","icon":"🟢","cover":"$undefined","tags":["whatsapp","support-client","agents","gemini"],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":1,"section":"Plateformes","trail":[{"url":"/fr/plateformes-et-cas-d-usage","title":"Plateformes & cas d'usage","icon":"🧭"},{"url":"/fr/plateformes-et-cas-d-usage/plateformes","title":"Plateformes","icon":"🖥️"}],"video":"$undefined","link":"https://watpilot.com/","platforms":[],"usecases":[],"headings":"En bref · Ce que les formations vous apportent","text":"$d8"},{"url":"/fr/plateformes-et-cas-d-usage/plateformes/gemini-enterprise","kind":"article","format":"platform","slides":false,"title":"Gemini Enterprise","description":"La plateforme Google pour donner un assistant IA et des agents à toute l'entreprise, connectés à ses données (Drive, SharePoint, Jira…).","icon":"✨","cover":"$undefined","tags":["google","assistant","agents"],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":1,"section":"Plateformes","trail":[{"url":"/fr/plateformes-et-cas-d-usage","title":"Plateformes & cas d'usage","icon":"🧭"},{"url":"/fr/plateformes-et-cas-d-usage/plateformes","title":"Plateformes","icon":"🖥️"}],"video":"$undefined","link":"https://cloud.google.com/gemini-enterprise","platforms":[],"usecases":[],"headings":"En bref","text":"En bref Gemini Enterprise réunit un assistant de chat pour les collaborateurs, des agents (créés sans code ou développés avec ADK), des connecteurs vers les outils de l'entreprise et des skills réutilisables, avec les contrôles de sécurité de Google Cloud. C'est la plateforme la plus couverte sur ce site : publier des agents, les sécuriser, les connecter à des serveurs MCP et importer des skills métier."},{"url":"/fr/plateformes-et-cas-d-usage/plateformes/vertex-ai","kind":"article","format":"platform","slides":false,"title":"Vertex AI (Gemini Enterprise Agent Platform)","description":"La plateforme d'IA de Google Cloud pour les développeurs : modèles Gemini, RAG Engine, Agent Runtime, évaluation et déploiement.","icon":"🧪","cover":"$undefined","tags":["google-cloud","rag","agents","ml"],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":1,"section":"Plateformes","trail":[{"url":"/fr/plateformes-et-cas-d-usage","title":"Plateformes & cas d'usage","icon":"🧭"},{"url":"/fr/plateformes-et-cas-d-usage/plateformes","title":"Plateformes","icon":"🖥️"}],"video":"$undefined","link":"https://cloud.google.com/vertex-ai","platforms":[],"usecases":[],"headings":"En bref","text":"En bref Vertex AI (renommée Gemini Enterprise Agent Platform en 2026) fournit les briques pour construire vos propres applications : appel des modèles, RAG Engine pour interroger vos documents, Agent Runtime pour héberger des agents, outils d'évaluation et de surveillance."},{"url":"/fr/plateformes-et-cas-d-usage/plateformes/claude","kind":"article","format":"platform","slides":false,"title":"Claude","description":"La famille de modèles d'Anthropic, utilisable par l'application Claude ou par l'API, et à l'origine du protocole MCP.","icon":"🟠","cover":"$undefined","tags":["anthropic","llm","mcp"],"level":"$undefined","duration":"$undefined","date":"$undefined","premium":false,"lessons":"$undefined","minutes":1,"section":"Plateformes","trail":[{"url":"/fr/plateformes-et-cas-d-usage","title":"Plateformes & cas d'usage","icon":"🧭"},{"url":"/fr/plateformes-et-cas-d-usage/plateformes","title":"Plateformes","icon":"🖥️"}],"video":"$undefined","link":"https://www.anthropic.com/claude","platforms":[],"usecases":[],"headings":"En bref","text":"En bref Claude est disponible en application (web, ordinateur, mobile), en ligne de commande pour les développeurs (Claude Code) et par API. 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analytics","icon":"📊"}],"video":"$undefined","link":"$undefined","platforms":[],"usecases":[],"headings":"When to use · Inputs · Sources · Workflow · Output format · Tables used · Query · How it works · Validation queries · Performance notes · Quality checks · Guardrails","text":"$a2"},{"url":"/fr/skills-gemini-enterprise/skills/data-analytics/experiment-design","kind":"article","format":"skill","slides":false,"title":"Experiment design","description":"Designs an A/B test or controlled experiment before launch: hypothesis, primary metric and guardrail metrics, unit of randomization, minimum detectable effect, sample size per arm (two-proportion formula, alpha 0.05, power 0.8, with the 16·p(1−p)/δ² rule of thumb) and duration from real baseline traffic, assignment and exposure rules, pre-registered decision rule and pitfalls (peeking, novelty, sample ratio mismatch). 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