{"id":897,"date":"2026-04-06T22:41:26","date_gmt":"2026-04-06T22:41:26","guid":{"rendered":"https:\/\/pythonia.fr\/?page_id=897"},"modified":"2026-04-06T23:04:10","modified_gmt":"2026-04-06T23:04:10","slug":"devact","status":"publish","type":"page","link":"https:\/\/pythonia.fr\/index.php\/devact\/","title":{"rendered":"devact"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"897\" class=\"elementor elementor-897\">\n\t\t\t\t<div class=\"elementor-element elementor-element-30ab428 e-grid e-con-boxed e-con e-parent\" data-id=\"30ab428\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-af969f8 elementor-widget elementor-widget-heading\" data-id=\"af969f8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">D\u00e9velopper son activit\u00e9 \u00e0 l'aide de Python et de l'IA<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5dcd920 e-grid e-con-boxed e-con e-parent\" data-id=\"5dcd920\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0fd2cd7 elementor-widget elementor-widget-heading\" data-id=\"0fd2cd7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><div style=\"gap:40px;flex-wrap:wrap;font-family:sans-serif\">\n  <!-- Colonne gauche : Objectifs -->\n  <div style=\"flex:2;min-width:300px\">\n    <h3 style=\"color:#FFFFFF;font-weight:bold;margin-top:25px;margin-bottom:10px;font-size:16px\">\n      Objectifs :\n    <\/h3>\n    <ul style=\"font-size:14px;color:#FFFFFF;line-height:2;margin-left:20px\">\n      <li>Produire du contenu marketing \u00e0 grande \u00e9chelle avec l'IA (articles, posts, e-mails, visuels)<\/li>\n      <li>Collecter, enrichir et qualifier automatiquement des prospects gr\u00e2ce \u00e0 Python et aux LLM<\/li>\n      <li>R\u00e9diger des e-mails de prospection personnalis\u00e9s \u00e0 grande \u00e9chelle<\/li>\n      <li>Automatiser ses s\u00e9quences de prospection multicanale (e-mail, LinkedIn, CRM)<\/li>\n      <li>D\u00e9ployer un workflow complet de prospection pilot\u00e9 par un agent IA<\/li>\n    <\/ul>\n  <\/div>\n  <!-- Colonne droite : Tarif + liens -->\n  <div style=\"flex:1;min-width:200px;background:#0B1D33;padding:25px;border-radius:12px;height:fit-content\">\n    <div style=\"padding:12px 0;border-bottom:1px solid #1a3a5c\">\n      <span style=\"color:#8899AA;font-size:12px;text-transform:uppercase;letter-spacing:0.5px\">Tarif inter \/ participant<\/span>\n      <div style=\"color:#FFFFFF;font-size:22px;font-weight:bold;margin-top:4px\">\n        1 500 \u20ac <span style=\"font-size:13px;font-weight:normal;color:#8899AA\">HT<\/span>\n      <\/div>\n    <\/div>\n    <a href=\"http:\/\/pythonia.fr\/wp-content\/uploads\/2026\/04\/Programme_Developper_Activite_IA_Pythonia.pdf\" target=\"_blank\" style=\"color:#FFFFFF;font-size:15px;text-decoration:none;padding:12px 0;border-bottom:1px solid #1a3a5c\">\n      \ud83d\udcc4 Programme (PDF)\n    <\/a>\n    <a href=\"#\" id=\"btn-dates\" style=\"color:#FFFFFF;font-size:15px;text-decoration:none;padding:12px 0;border-bottom:1px solid #1a3a5c\">\n      \ud83d\udcc5 Voir les dates\n    <\/a>\n    <button id=\"btn-contact\" style=\"width:100%;margin-top:20px;padding:15px 20px;background:#5DADE2;color:#FFFFFF;font-size:15px;font-weight:bold;border:none;border-radius:8px;cursor:pointer\">\n      \u2709\ufe0f Demande d'information\n    <\/button>\n  <\/div>\n<\/div><\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fbcf318 e-grid e-con-boxed e-con e-parent\" data-id=\"fbcf318\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0fb3ab7 elementor-widget elementor-widget-heading\" data-id=\"0fb3ab7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><div style=\"gap:40px;flex-wrap:wrap\">\n\n  <!-- Colonne gauche : Contenu -->\n  <div style=\"flex:2;min-width:300px\">\n\n    <h3 style=\"font-size:24px;color:#FFFFFF;font-weight:bold;margin-top:25px;margin-bottom:10px\">Public vis\u00e9<\/h3>\n    <ul style=\"font-size:14px;color:#FFFFFF;line-height:1.8;margin-left:20px\">\n      <li>Entrepreneurs et dirigeants de TPE\/PME souhaitant exploiter l'IA pour d\u00e9velopper leur activit\u00e9<\/li>\n      <li>Freelances cherchant \u00e0 automatiser leur production de contenu et leur prospection<\/li>\n      <li>Commerciaux et marketeurs souhaitant industrialiser leur d\u00e9marche commerciale<\/li>\n      <li>Professionnels en reconversion vers les m\u00e9tiers du growth et de l'automatisation<\/li>\n    <\/ul>\n\n    <h3 style=\"font-size:24px;color:#FFFFFF;font-weight:bold;margin-top:25px;margin-bottom:10px\">Objectifs p\u00e9dagogiques<\/h3>\n    <ul style=\"font-size:14px;color:#FFFFFF;line-height:1.8;margin-left:20px\">\n      <li>Comprendre les principes et les enjeux de l'IA g\u00e9n\u00e9rative pour le d\u00e9veloppement commercial<\/li>\n      <li>\u00c9crire des scripts Python simples pour interagir avec les API de LLM (OpenAI, Anthropic)<\/li>\n      <li>Produire du contenu marketing \u00e0 grande \u00e9chelle : articles, posts, e-mails, visuels<\/li>\n      <li>Identifier et qualifier des prospects gr\u00e2ce au scraping et \u00e0 l'enrichissement de donn\u00e9es<\/li>\n      <li>R\u00e9diger des e-mails de prospection personnalis\u00e9s \u00e0 grande \u00e9chelle gr\u00e2ce \u00e0 l'IA<\/li>\n      <li>Mettre en place un workflow d'automatisation complet de la prospection<\/li>\n      <li>Int\u00e9grer les outils IA \u00e0 un CRM ou \u00e0 une feuille de calcul<\/li>\n      <li>Respecter le cadre l\u00e9gal (RGPD) dans ses actions de prospection automatis\u00e9e<\/li>\n    <\/ul>\n\n    <h3 style=\"font-size:24px;color:#FFFFFF;font-weight:bold;margin-top:25px;margin-bottom:10px\">Pr\u00e9requis<\/h3>\n    <ul style=\"font-size:14px;color:#FFFFFF;line-height:1.8;margin-left:20px\">\n      <li>Aucune connaissance technique avanc\u00e9e n'est requise<\/li>\n      <li>Aisance avec l'outil informatique (navigation web, utilisation de fichiers Excel, envoi d'e-mails)<\/li>\n      <li>Une premi\u00e8re exposition \u00e0 Python ou \u00e0 ChatGPT est un plus mais n'est pas obligatoire<\/li>\n      <li>Disposer d'un ordinateur avec acc\u00e8s internet<\/li>\n    <\/ul>\n\n    <h3 style=\"font-size:24px;color:#FFFFFF;font-weight:bold;margin-top:25px;margin-bottom:10px\">M\u00e9thodes p\u00e9dagogiques<\/h3>\n    <ul style=\"font-size:14px;color:#FFFFFF;line-height:1.8;margin-left:20px\">\n      <li>Alternance de th\u00e9orie (30%) et de pratique (70%)<\/li>\n      <li>Expos\u00e9s interactifs, d\u00e9monstrations live sur des cas business r\u00e9els<\/li>\n      <li>TP individuels et collaboratifs sur des listes de prospects et des campagnes r\u00e9elles<\/li>\n      <li>Approche orient\u00e9e ROI : chaque atelier vise un livrable exploitable imm\u00e9diatement<\/li>\n      <li>Supports de cours et templates de scripts remis aux stagiaires (acc\u00e8s p\u00e9renne)<\/li>\n    <\/ul>\n\n    <h1 style=\"font-size:24px;color:#FFFFFF;font-weight:bold;margin-top:40px;margin-bottom:20px\">Programme d\u00e9taill\u00e9<\/h1>\n\n    <h3 style=\"font-size:16px;color:#FFFFFF;font-weight:bold;margin-top:25px;margin-bottom:10px\">JOUR 1 \u2014 IA g\u00e9n\u00e9rative et production de contenu avec Python<\/h3>\n    <ul style=\"font-size:14px;color:#FFFFFF;line-height:1.8;margin-left:20px\">\n      <li>Panorama de l'IA g\u00e9n\u00e9rative : LLM, mod\u00e8les d'images, cas d'usage business<\/li>\n      <li>Les acteurs du march\u00e9 : OpenAI, Anthropic, Mistral, Google \u2014 comparatif et choix<\/li>\n      <li>Installation de Python et d'un environnement de travail (VS Code, notebooks)<\/li>\n      <li>Bases de Python essentielles : variables, fonctions, manipulation de texte et de fichiers<\/li>\n      <li>Premiers appels aux API de LLM : authentification, requ\u00eates, r\u00e9ponses<\/li>\n      <li>Prompt engineering : structurer un prompt efficace, r\u00f4les, contexte, exemples<\/li>\n      <li>G\u00e9n\u00e9ration d'articles de blog optimis\u00e9s SEO \u00e0 partir de mots-cl\u00e9s<\/li>\n      <li>R\u00e9daction automatis\u00e9e de posts LinkedIn, Twitter, Instagram adapt\u00e9s \u00e0 chaque plateforme<\/li>\n      <li>Cr\u00e9ation de s\u00e9quences d'e-mails marketing personnalis\u00e9s<\/li>\n      <li>G\u00e9n\u00e9ration d'images avec DALL-E et Stable Diffusion via API<\/li>\n      <li>Gestion des co\u00fbts d'API et bonnes pratiques de production<\/li>\n    <\/ul>\n    <p style=\"font-size:14px;color:#FFFFFF;margin-left:20px;margin-top:15px\"><strong>\u25a0 Travaux pratiques :<\/strong><br>\n    \u2192 TP1 : Script de g\u00e9n\u00e9ration d'articles de blog \u00e0 partir d'une liste de sujets (Excel \u2192 articles)<br>\n    \u2192 TP2 : G\u00e9n\u00e9rateur de posts LinkedIn multi-formats \u00e0 partir d'une id\u00e9e<br>\n    \u2192 TP3 : Cr\u00e9ation d'une campagne d'e-mails marketing personnalis\u00e9s avec visuels IA<\/p>\n\n    <h3 style=\"font-size:16px;color:#FFFFFF;font-weight:bold;margin-top:25px;margin-bottom:10px\">JOUR 2 \u2014 G\u00e9n\u00e9ration d'opportunit\u00e9s et qualification de prospects<\/h3>\n    <ul style=\"font-size:14px;color:#FFFFFF;line-height:1.8;margin-left:20px\">\n      <li>Sources de prospects : annuaires, r\u00e9seaux sociaux, bases publiques, Pages Jaunes, Societe.com<\/li>\n      <li>Web scraping avec Python : BeautifulSoup, requests \u2014 principes et limites<\/li>\n      <li>Respect du cadre l\u00e9gal : robots.txt, CGU, RGPD, consentement<\/li>\n      <li>Enrichissement de donn\u00e9es : APIs d'enrichissement, extraction d'informations publiques<\/li>\n      <li>Nettoyage et structuration des donn\u00e9es collect\u00e9es avec pandas<\/li>\n      <li>Export vers Excel, Google Sheets ou CRM<\/li>\n      <li>D\u00e9finir son ICP (Ideal Customer Profile) et ses crit\u00e8res de qualification<\/li>\n      <li>Utilisation d'un LLM pour qualifier automatiquement des prospects (secteur, taille, pertinence)<\/li>\n      <li>Scoring automatis\u00e9 : attribution d'une note de pertinence \u00e0 chaque prospect<\/li>\n      <li>D\u00e9tection de signaux d'achat : recrutements, lev\u00e9es de fonds, actualit\u00e9s<\/li>\n      <li>Segmentation automatique des prospects par persona<\/li>\n    <\/ul>\n    <p style=\"font-size:14px;color:#FFFFFF;margin-left:20px;margin-top:15px\"><strong>\u25a0 Travaux pratiques :<\/strong><br>\n    \u2192 TP1 : Script de collecte d'entreprises d'un secteur avec export Excel structur\u00e9<br>\n    \u2192 TP2 : Enrichissement d'une liste de prospects avec informations publiques (site, taille, activit\u00e9)<br>\n    \u2192 TP3 : Qualification et scoring automatis\u00e9s d'une liste de 100 prospects avec un LLM<\/p>\n\n    <h3 style=\"font-size:16px;color:#FFFFFF;font-weight:bold;margin-top:25px;margin-bottom:10px\">JOUR 3 \u2014 Automatisation de la prospection et projet final<\/h3>\n    <ul style=\"font-size:14px;color:#FFFFFF;line-height:1.8;margin-left:20px\">\n      <li>R\u00e9daction d'e-mails de prospection personnalis\u00e9s \u00e0 grande \u00e9chelle avec l'IA<\/li>\n      <li>G\u00e9n\u00e9ration de messages LinkedIn adapt\u00e9s \u00e0 chaque prospect<\/li>\n      <li>Personnalisation avanc\u00e9e : prise en compte du contexte et des actualit\u00e9s du prospect<\/li>\n      <li>Envoi automatis\u00e9 d'e-mails : SMTP, services transactionnels (SendGrid, Brevo)<\/li>\n      <li>Gestion des s\u00e9quences de relance automatiques<\/li>\n      <li>Int\u00e9gration avec des outils no-code : Make, Zapier, n8n<\/li>\n      <li>Connexion \u00e0 un CRM (HubSpot, Pipedrive) via API<\/li>\n      <li>Introduction aux agents IA : principe, int\u00e9r\u00eat pour l'automatisation commerciale<\/li>\n      <li>Cr\u00e9ation d'un agent de prospection : recherche, qualification, r\u00e9daction, envoi<\/li>\n      <li>Mise en place d'un tableau de bord de suivi (taux d'ouverture, r\u00e9ponses, conversions)<\/li>\n      <li>Bonnes pratiques \u00e9thiques et conformit\u00e9 RGPD<\/li>\n    <\/ul>\n    <p style=\"font-size:14px;color:#FFFFFF;margin-left:20px;margin-top:15px\"><strong>\u25a0 Travaux pratiques :<\/strong><br>\n    \u2192 TP1 : G\u00e9n\u00e9rateur d'e-mails de prospection personnalis\u00e9s \u00e0 partir d'une liste qualifi\u00e9e<br>\n    \u2192 TP2 : Mise en place d'une s\u00e9quence automatis\u00e9e (e-mail initial + 2 relances)<br>\n    \u2192 TP3 (Projet final) : Pipeline complet de prospection \u2014 collecte, qualification, r\u00e9daction personnalis\u00e9e, envoi et suivi<\/p>\n\n    <h3 style=\"font-size:16px;color:#FFFFFF;font-weight:bold;margin-top:25px;margin-bottom:10px\">\u00c9valuation<\/h3>\n    <ul style=\"font-size:14px;color:#FFFFFF;line-height:1.8;margin-left:20px\">\n      <li>Test de positionnement en d\u00e9but de formation<\/li>\n      <li>\u00c9valuations formatives : exercices pratiques corrig\u00e9s, revue de campagnes, QCM interm\u00e9diaires<\/li>\n      <li>QCM mi-parcours de 20 questions (Jour 2)<\/li>\n      <li>QCM final de 30 questions (Jour 3) \u2014 crit\u00e8re de r\u00e9ussite : 60%<\/li>\n      <li>Soutenance du mini-projet final<\/li>\n      <li>Attestation de fin de formation d\u00e9livr\u00e9e<\/li>\n    <\/ul>\n\n  <\/div>\n<\/div><\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>D\u00e9velopper son activit\u00e9 \u00e0 l&#8217;aide de Python et de l&#8217;IA Objectifs : Produire du contenu marketing \u00e0 grande \u00e9chelle avec [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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