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sur l'emploi, m\u00e9tiers prometteurs, comp\u00e9tences cl\u00e9s, formations... D\u00e9couvrez comment lancer votre carri\u00e8re dans l'IA en 2024.","_yoast_wpseo_title":null,"contenu_de_larticle":"Dans tous les secteurs, dans toutes les entreprises, l\u2019IA ne cesse de r\u00e9volutionner les pratiques, l\u2019IA est valoris\u00e9e, l\u2019IA recrute, l\u2019IA paie bien et <a href=\"https:\/\/www.grandviewresearch.com\/press-release\/global-artificial-intelligence-ai-market\" target=\"_blank\" rel=\"noopener\">le march\u00e9 mondial de l\u2019IA devrait repr\u00e9senter 1811,8 milliards de dollars d\u2019ici 2030<\/a>. Avec tout \u00e7a, on peut facilement se prendre \u00e0 r\u00eaver de faire carri\u00e8re dans l\u2019IA. Mais comment se lancer ? Quels m\u00e9tiers choisir ? Avec quelles comp\u00e9tences ? Am\u00e9lie Favre Guittet, pr\u00e9sidente et cofondatrice de Talent Management Groupe, et <strong>Le Wagon<\/strong> s\u2019associent pour tout vous expliquer.\r\n\r\n&nbsp;\r\n<h2><strong>L\u2019IA transforme le march\u00e9 de l\u2019emploi<\/strong><\/h2>\r\nPersonne n\u2019est pass\u00e9 \u00e0 c\u00f4t\u00e9, l\u2019IA est au c\u0153ur de toutes les discussions depuis cette derni\u00e8re ann\u00e9e et demie. Les chiffres parlent d\u2019eux-m\u00eames : <strong><a href=\"https:\/\/www.etudes-et-analyses.com\/blog\/decryptage-economique\/marche-secteurs-acteurs-france-03-04-2023.html\" target=\"_blank\" rel=\"noopener\">entre 2019 et 2022, le nombre d\u2019entreprises utilisant l\u2019IA a augment\u00e9 de 200%<\/a><\/strong>. Chaque entreprise comprend son int\u00e9r\u00eat \u00e0 adopter l\u2019IA et se positionne strat\u00e9giquement pour en tirer profit. L\u2019industrie de l'IA devrait ainsi g\u00e9n\u00e9rer pr\u00e8s de <strong>100 millions d'emplois dans le monde d'ici 2025<\/strong> (selon le <a href=\"https:\/\/www.weforum.org\/publications\/the-future-of-jobs-report-2023\/\" target=\"_blank\" rel=\"noopener\">World Economic Forum<\/a>).\r\n\r\nDans ce secteur en pleine expansion, <strong>il n'y a tout simplement pas assez de candidats qualifi\u00e9s pour combler les postes vacants<\/strong> et, \u00e0 mesure que l\u2019IA se d\u00e9veloppe, cette p\u00e9nurie de talents est amen\u00e9e \u00e0 se confirmer. Cela cr\u00e9e <strong>une v\u00e9ritable opportunit\u00e9<\/strong> pour les professionnels cherchant \u00e0 se sp\u00e9cialiser dans un domaine \u00e0 la pointe de la technologie et pour les entreprises en qu\u00eate de r\u00e9invention.\r\n\r\nEnfin, l'\u00e9volution rapide de l'IA n\u00e9cessite une <strong>mise \u00e0 jour constante des comp\u00e9tences<\/strong>, offrant ainsi une <strong>aventure stimulante<\/strong> pour celles et ceux souhaitant rester \u00e0 la pointe. Les professionnels qui embrassent cette vague de changement en se formant continuellement jouent un r\u00f4le cl\u00e9 dans la transformation des industries et la cr\u00e9ation de valeur dans l'\u00e9conomie num\u00e9rique.\r\n\r\n&nbsp;\r\n<h2>Comprendre les \u00e9volutions impliqu\u00e9es par l\u2019IA<\/h2>\r\n<h3>Am\u00e9lioration continue des comp\u00e9tences<\/h3>\r\nUne <strong>augmentation significative de la demande de professionnels sp\u00e9cialis\u00e9s en IA et en Data Science<\/strong> se profile, stimul\u00e9e par l\u2019explosion du Big Data et la n\u00e9cessit\u00e9 de traiter des ensembles de donn\u00e9es complexes pour prendre des d\u00e9cisions le plus rapidement possible.\r\n\r\nPar essence, l\u2019IA implique une <strong>am\u00e9lioration continue<\/strong> : elle \u00e9volue sans cesse, et sans r\u00e9pit pour les professionnels qui l\u2019utilisent. Les entreprises recherchent ainsi <strong>des profils dot\u00e9s d\u2019une<\/strong> <strong>curiosit\u00e9 naturelle<\/strong>, pour rester au coude \u00e0 coude avec l\u2019IA dans sa maturation. Il ne suffit plus de se former une bonne fois pour toutes et de devenir employable : il faut <strong>rester \u00e0 la pointe de ces technologies<\/strong>. Ce besoin d'adaptation constante ouvre \u00e9galement des portes \u00e0 des r\u00f4les hybrides, alliant comp\u00e9tences techniques et soft skills, o\u00f9 la compr\u00e9hension humaine joue un r\u00f4le aussi crucial que la ma\u00eetrise technologique.\r\n\r\n&nbsp;\r\n<h3>Tendance \u00e0 la sp\u00e9cialisation<\/h3>\r\nLes m\u00e9tiers de l'IA se sp\u00e9cialisent, et certains exigent une expertise pointue dans des sous-domaines tels que le <strong>Deep Learning<\/strong> ou l\u2019<strong>\u00e9thique de l\u2019IA<\/strong>. Les entreprises recherchent des profils form\u00e9s ou capables de se former sur <strong>les biais cognitifs, les implications sociales de l\u2019IA et la responsabilit\u00e9 des entreprises dans le d\u00e9ploiement de l'IA<\/strong>.\r\n\r\nCette tendance \u00e0 la sp\u00e9cialisation souligne l'importance de l'\u00e9ducation continue et de la formation sp\u00e9cialis\u00e9e, non seulement dans les universit\u00e9s et les \u00e9coles, mais aussi au sein des entreprises elles-m\u00eames.\r\n\r\n<img class=\"wp-image-227874 alignnone\" src=\"https:\/\/blog.lewagon.com\/wp-content\/uploads\/2023\/12\/Camille_Huguenot_LeWagon_WEB-36-300x200.jpg\" alt=\"Se former pour lancer sa carri\u00e8re dans l'IA\" width=\"509\" height=\"339\" \/>\r\n\r\n&nbsp;\r\n<h3>M\u00e9tiers et nouveaux m\u00e9tiers de l\u2019IA<\/h3>\r\n<ul>\r\n \t<li><strong>Les<\/strong> <a href=\"https:\/\/blog.lewagon.com\/fr\/career\/metiers-tech-data-science-machine-learning-engineer\/\" target=\"_blank\" rel=\"noopener\">machine learning engineers<\/a> : ils ou elles con\u00e7oivent, programment et d\u00e9ploient des algorithmes auto-apprenants, capables d\u2019analyser de larges volumes de donn\u00e9es complexes.<\/li>\r\n \t<li><strong>Les<\/strong> <strong>prompt engineers<\/strong> : sp\u00e9cialis\u00e9s dans le processus de conception, de d\u00e9veloppement, de gestion et d\u2019am\u00e9lioration des syst\u00e8mes informatiques de type \u201cprompt\u201d (comme les chatbots par exemple), ils ont pour mission de tester les capacit\u00e9s de raisonnement logique de l\u2019IA.<\/li>\r\n \t<li><strong>Les<\/strong> <strong>data scientists<\/strong> : ils ou elles jouent un r\u00f4le cl\u00e9 dans le processus d\u2019exploitation de la donn\u00e9e. Ils traitent les donn\u00e9es pour en d\u00e9gager des mod\u00e8les pr\u00e9dictifs r\u00e9pondant aux enjeux sp\u00e9cifiques de leur entreprise ou de leur client.<\/li>\r\n \t<li><strong>Les cogniticien(ne)s ou psydesigners<\/strong> : adapter une machine ou un syst\u00e8me technologique aux utilisateurs, permettre le partage des connaissances, concevoir des outils d'information intelligents... ils ou elles font en sorte qu'humains et technologie marchent \u00e0 l'unisson.<\/li>\r\n \t<li><strong>Les coachs de robot<\/strong> : leur r\u00f4le consiste \u00e0 entra\u00eener les mod\u00e8les d\u2019IA, par exemple en analysant leurs conversations r\u00e9centes pour rendre les interactions plus fluides.<\/li>\r\n<\/ul>\r\nIl est essentiel de noter que ces professions, tout en exigeant des comp\u00e9tences techniques avanc\u00e9es, n\u00e9cessitent \u00e9galement une forte capacit\u00e9 \u00e0 collaborer, \u00e0 communiquer et \u00e0 comprendre les aspects \u00e9thiques et sociaux de la technologie.\r\n\r\n&nbsp;\r\n<h2>Les comp\u00e9tences n\u00e9cessaires pour lancer sa carri\u00e8re dans l\u2019IA<\/h2>\r\n<h3>Comp\u00e9tences techniques<\/h3>\r\nD\u00e9tection automatique d\u2019anomalies sur une cha\u00eene de production, formulation d\u2019offres personnalis\u00e9es, automatisation des t\u00e2ches et robotisation dans l\u2019industrie, solutions autonomes pour des utilisations m\u00e9dicales\u2026 Les multiples utilisations de l\u2019IA g\u00e9n\u00e8rent des <strong>besoins en comp\u00e9tences tech pointues.<\/strong>\r\n\r\nSelon <a href=\"https:\/\/www.michaelpage.fr\/advice\/entreprises\/s%C3%A9lection-et-recrutement\/intelligence-artificielle-quelles-sont-les-comp%C3%A9tences#:~:text=Parmi%20les%20principales%20comp%C3%A9tences%20techniques,Le%20Big%20Data%20%E2%80%93%2044%25\" target=\"_blank\" rel=\"noopener\">une \u00e9tude de Michael Page<\/a>, <strong>les comp\u00e9tences techniques n\u00e9cessaires au d\u00e9veloppement de l\u2019IA et jug\u00e9es difficiles \u00e0 acqu\u00e9rir par les entreprises fran\u00e7aises sont les suivantes<\/strong> :\r\n<ul>\r\n \t<li><strong>La programmation<\/strong> - 56%<\/li>\r\n \t<li><strong>Le machine learning<\/strong> - 44%<\/li>\r\n \t<li><strong>Le big data<\/strong> - 44%<\/li>\r\n \t<li><strong>La robotique<\/strong> - 35%<\/li>\r\n \t<li><strong>Le cloud computing<\/strong> - 28%<\/li>\r\n<\/ul>\r\n&nbsp;\r\n\r\nIl est \u00e9galement crucial de comprendre <strong>l'importance de la s\u00e9curit\u00e9 des donn\u00e9es et de la confidentialit\u00e9<\/strong> dans le contexte de l'IA, car le traitement et la gestion responsables des donn\u00e9es sont au c\u0153ur de la <strong>confiance<\/strong> et de l'<strong>\u00e9thique<\/strong> dans le domaine.\r\n\r\nNe vous m\u00e9prenez pas : de nombreuses comp\u00e9tences non techniques, des <em>soft skills<\/em>, sont \u00e9galement indispensables ! C\u2019est m\u00eame avec celles-ci que vous pourriez faire la diff\u00e9rence, par rapport \u00e0 d\u2019autres candidats.\r\n\r\n&nbsp;\r\n<h3>Comp\u00e9tences non techniques<\/h3>\r\nLes entreprises s\u2019int\u00e9ressent aussi \u00e0 <strong>la personnalit\u00e9 des candidats<\/strong> pour cr\u00e9er des \u00e9quipes harmonieuses et productives. Ainsi, la capacit\u00e9 \u00e0 communiquer efficacement, \u00e0 collaborer, \u00e0 d\u00e9montrer une attitude positive et \u00e0 s'adapter \u00e0 un environnement professionnel dynamique devient aussi cruciale que les comp\u00e9tences techniques. Voici ce sur quoi vous devez miser :\r\n<ul>\r\n \t<li><strong>Pens\u00e9e critique et r\u00e9solution de probl\u00e8mes<\/strong> : indispensables pour appr\u00e9hender les d\u00e9fis IA, qui ne sont pas toujours parfaitement d\u00e9finis.<\/li>\r\n \t<li><strong>Capacit\u00e9 \u00e0 communiquer des concepts techniques de mani\u00e8re claire<\/strong> : vous devez \u00eatre assez empathiques pour vous mettre dans la peau des autres et communiquez avec eux de la mani\u00e8re la plus adapt\u00e9e.<\/li>\r\n \t<li><strong>Travail d'\u00e9quipe et collaboration interdisciplinaire<\/strong> : sur des projets IA et Data d\u2019envergure, il vous faudra consid\u00e9rer, motiver et embarquer des collaborateurs de secteurs diff\u00e9rents, parfois dans des environnements interculturels.<\/li>\r\n<\/ul>\r\nEnfin, la cr\u00e9ativit\u00e9 et l'innovation sont essentielles pour naviguer dans le domaine en constante \u00e9volution de l'IA, o\u00f9 trouver des solutions uniques aux probl\u00e8mes complexes est souvent la cl\u00e9 du succ\u00e8s.\r\n\r\n&nbsp;\r\n<h2>Lancer sa carri\u00e8re dans l\u2019IA, par o\u00f9 commencer ?<\/h2>\r\n<h3>Confirmez votre int\u00e9r\u00eat pour l\u2019IA<\/h3>\r\nAvant de vous lancer professionnellement dans l\u2019IA, <strong>confirmez votre int\u00e9r\u00eat pour ces domaines<\/strong>, en participant \u00e0 des ateliers ou des talks d\u00e9di\u00e9s. <a href=\"https:\/\/app.livestorm.co\/lewagon?upcoming_locale=fr\">Le Wagon organise de nombreux workshops 100% gratuits et en ligne pour appr\u00e9hender ces sujets<\/a>. Pour entrer plus rapidement dans le vif du sujet, vous pouvez \u00e9galement <strong>suivre des cours d\u2019introduction aux comp\u00e9tences data et IA.<\/strong>\r\n\r\n<a href=\"https:\/\/app.lewagon.school\/collections\" target=\"_blank\" rel=\"noopener\"><img class=\"wp-image-227864 alignnone\" src=\"https:\/\/blog.lewagon.com\/wp-content\/uploads\/2023\/12\/free-courses-python-300x200.png\" alt=\"Confirmer son int\u00e9r\u00eat pour l'IA avec des cours gratuits \" width=\"600\" height=\"400\" \/><\/a>\r\n\r\nIl est \u00e9galement judicieux de s'impliquer dans des projets open source ou de collaborer sur des initiatives communautaires, ce qui permet d'acqu\u00e9rir une exp\u00e9rience pratique tout en construisant un portefeuille de projets.\r\n\r\n&nbsp;\r\n<h3>Suivez une formation adapt\u00e9e<\/h3>\r\nPour devenir un(e) professionnel(le) de l\u2019IA, certains outils sont indispensables et n\u00e9cessitent une formation. Vous devrez ma\u00eetrisez <strong>les langages Python et SQL<\/strong>, apprendre \u00e0 <strong>utiliser des biblioth\u00e8ques comme Pandas ou Numpy<\/strong> pour devenir expert en <strong>Decision Science<\/strong>, \u00eatre en mesure de <strong>concevoir des mod\u00e8les de Machine et Deep Learning<\/strong>, comprendre l\u2019utilisation des <strong>transformers<\/strong> (l\u2019un des piliers de l\u2019IA)\u2026\r\n\r\nDifficile de se former en autodidacte, donc. Sachez cependant qu\u2019<a href=\"https:\/\/www.lewagon.com\/fr\/data-science-course\" target=\"_blank\" rel=\"noopener\">un bootcamp en Data Science &amp; IA<\/a> vous permettra de d\u00e9velopper ces comp\u00e9tences en seulement 9 semaines. Si vous \u00eates d\u00e9j\u00e0 un(e) professionnel(le) de la data, <a href=\"https:\/\/www.lewagon.com\/fr\/python-machine-learning-course\" target=\"_blank\">une formation de 40 heures<\/a> bien choisie suffit pour d\u00e9velopper des comp\u00e9tences en IA ou Machine Learning. \r\n&nbsp;\r\n<h3>Cultivez votre curiosit\u00e9 intellectuelle<\/h3>\r\nEn plus de ces formations structur\u00e9es, il est essentiel de d\u00e9velopper une routine d'auto-apprentissage, en exploitant les nombreuses ressources en ligne, telles que les tutoriels, les MOOCs, et les webinaires.\r\n\r\nPar d\u00e9finition, l\u2019IA ne cesse d\u2019\u00e9voluer, et les technologies qui la supportent progressent \u00e9galement. Restez \u00e0 la pointe en \u00e9coutant des podcasts comme <a href=\"https:\/\/datadriven101.tech\/\" target=\"_blank\" rel=\"noopener\">Data Driven 101<\/a>, <a href=\"https:\/\/podcasts.apple.com\/fr\/podcast\/i-a-caf%C3%A9-enqu%C3%AAte-au-c%C5%93ur-de-la-recherche\/id1536649984\" target=\"_blank\" rel=\"noopener\">IA Caf\u00e9<\/a>, ou <a href=\"https:\/\/almosthumanfr.podcastpage.io\/episodes\" target=\"_blank\" rel=\"noopener\">Almost Human<\/a>. Gardez un \u0153il sur les tendances en vous abonnant \u00e0 des newsletters, en participant \u00e0 des conf\u00e9rences ou en suivant des influenceurs sp\u00e9cifiques.\r\n\r\n&nbsp;\r\n<h3>D\u00e9veloppez votre r\u00e9seau professionnel<\/h3>\r\nEn raison de la nature collaborative et innovante de l'IA, \u00e9tablir des connexions peut offrir de nouvelles possibilit\u00e9s professionnelles. Des plateformes comme GitHub offrent des espaces id\u00e9aux pour partager ses travaux, interagir avec des professionnels, et rester \u00e0 la page. La participation active \u00e0 des groupes de discussion, la publication r\u00e9guli\u00e8re de contenus et l'engagement dans des conversations peuvent accro\u00eetre votre visibilit\u00e9 et d\u00e9montrer votre expertise. Vous augmenterez ainsi vos chances d'\u00eatre rep\u00e9r\u00e9 par des recruteurs, collaborateurs potentiels et m\u00eame mentors.\r\n\r\nN'oubliez pas l'importance des \u00e9v\u00e9nements locaux et des meetups dans le domaine de l'IA. Ces rassemblements sont d'excellentes occasions de rencontrer des experts, de d\u00e9couvrir des innovations de pointe et de s'immerger dans la communaut\u00e9 IA.\r\n\r\n&nbsp;\r\n\r\n<hr \/>\r\n\r\n&nbsp;\r\n\r\nR\u00e9ussir sa carri\u00e8re dans l\u2019IA n\u00e9cessite une combinaison de comp\u00e9tences techniques pointues et de qualit\u00e9s personnelles indispensables. Les opportunit\u00e9s professionnelles abondent, mais la cl\u00e9 du succ\u00e8s r\u00e9side dans une formation solide et dans la capacit\u00e9 \u00e0 rester \u00e0 la pointe des derni\u00e8res \u00e9volutions. <strong><a href=\"https:\/\/www.lewagon.com\/fr\/data-science-course\" target=\"_blank\" rel=\"noopener\">Lancez votre carri\u00e8re dans l\u2019IA<\/a> : o\u00f9 votre curiosit\u00e9 fa\u00e7onne l'avenir et votre talent red\u00e9finit le possible !<\/strong>\r\n\r\n<a href=\"https:\/\/www.lewagon.com\/fr\/data-science-course\" target=\"_blank\" rel=\"noopener\"><img class=\"alignnone wp-image-227886\" src=\"https:\/\/blog.lewagon.com\/wp-content\/uploads\/2023\/12\/Copie-de-FR-Blog-visual-1-300x200.png\" alt=\"Lancez votre carri\u00e8re dans l'IA\" width=\"601\" height=\"400\" \/><\/a>","_contenu_de_larticle":"field_6412588b55814","titre_de_la_banniere":"","_titre_de_la_banniere":"field_6422eb732c237","paragraphe_de_la_banniere":"","_paragraphe_de_la_banniere":"field_6422ed834a968","intitule_du_bouton_de_la_banniere":"","_intitule_du_bouton_de_la_banniere":"field_6422ed934a969","lien_du_bouton_de_la_banniere":"","_lien_du_bouton_de_la_banniere":"field_6422eda54a96a","yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Comment lancer sa carri\u00e8re dans l&#039;IA en 2024 | Blog Le Wagon<\/title>\n<meta name=\"description\" content=\"Impact sur l&#039;emploi, m\u00e9tiers prometteurs, comp\u00e9tences cl\u00e9s, formations... 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