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💡 Expert Insight: 🚀 **Career Boost:** This course provides critical competencies for navigating today's volatile talent landscape, where protecting organizational know-how is paramount. Mastering its comprehensive approach to knowledge management, L&D, and succession planning positions you as an indispensable leader capable of building resilient, learning-driven organizations that sustain competitive advantage, even amidst personnel changes.This course contains the use of artificial intelligence. When your best engineer resigns, how much of what she knew walks out with her? In most companies the honest answer is nearly all of it. Here are 453 tools to build capability on purpose: 276 ready-to-use question lists, procedures, templates, checklists and matrices, 146 models and methods, 30 services and apps shown on screen and a working file. Open a lecture, take the tool, apply it to your team this week. What is going wrong right now Your organisation learns by accident. Someone solves a hard problem and the solution lives in their head until they leave. Training happens because a budget line exists, people sit through it, and six weeks later nothing about their work has changed. Managers are promoted for being good specialists and left to work out management alone. And when a key role opens, there is no successor. Every one of these is the same failure: capability is not being built deliberately. What changes after this course You build a system and stop running events. Knowledge is captured before people leave, stored where others can find it and pulled into the processes that need it. Training is designed from a business outcome and evaluated against it. Managers are developed on purpose. And the bench is deep enough that a resignation is an inconvenience and not a crisis. What is inside: 453 tools, counted lecture by lecture You do not have to take this number on trust. Open any lecture and read its description: every tool inside is listed there by name. 59 downloadable resources: the lecture presentations plus a working file, the Learning Level Check 276 ready-to-use tools inside the presentations: 84 question lists and scripts: expert knowledge capture interviews, knowledge management employee survey, performance support needs interviews, training effectiveness review 53 step-by-step procedures and workflows: knowledge management strategy development, knowledge collection and storage, internal trainer program implementation, six-step learning transfer 48 templates and sample documents: knowledge index card, best practice documentation, error analysis, knowledge management strategy roadmap 46 checklists: knowledge base review, training diagnosis, learning design, learning transfer 39 scorecards, rubrics and matrices: performance support selection matrix, business drivers and competency matrix, learning transfer climate assessment, training evaluation evidence matrix 3 formulas and metric sets: knowledge management effectiveness metrics, human capital management metrics, succession planning KPIs 2 ready AI prompts: career development with ChatGPT, AI competency profile generation 1 other working tool 146 models and methods explained with examples: 70-20-10 learning, communities of practice, ADDIE instructional design, 6D learning transfer 30 services and apps shown on screen, from a quick look to a detailed demo: Confluence, Notion, Microsoft Loop, SharePoint, Docebo, TalentLMS, Thinkific, 15Five, Miro and others Where the tools are Start here (1 tool). Put your company on the four levels of learning. Knowledge management (2 sections, 80 tools). Explicit and tacit knowledge, capture, storage, sharing, use in processes, measurement and strategy. Learning and development (4 sections, 87 tools). Competency model, diagnosis, design, result-based learning, transfer, evaluation and strategy. Corporate university (3 sections, 163 tools). Audit, budget, trainers, work with business, instructional design, coaching, careers, assessment, providers and distance learning. Mentoring (2 sections, 32 tools). Purpose, matching, the first meeting and closing the relationship. Leadership development (3 sections, 95 tools). Manager competencies, delegation, teams, coaching, feedback, engagement and communication. Succession planning (2 sections, 35 tools). Key roles and risks, assessing successors, the bench and its audit. Who is teaching I am Mike, the #1 HR instructor on Udemy, with 1,800,000+ course enrollments from 170,000 students, and the author of about 200 books on Amazon. I built the people system at Preply as it became a unicorn and worked at Wargaming, iDeals and Alfa-Bank across 20 years in HR. I hold PHRi, SHRM-CP and HCI sHRBP certifications and represent HRCI in Eastern Europe. I am also a founder and lead the strategy of my own academy. I saw this system work at Wargaming. The corporate university there insisted that people put what they knew into Confluence: we trained all employees to use it and promoted the idea at management level, so that managers required it from their people. As a result, documentation in the company was really well kept. The same corporate university trained managers at each step of the performance cycle: goal setting when planning for the next year began, summing up and feedback before the performance review, and one-on-one meetings separately, so that managers knew how to do it. How to use the course Start with the first lecture and find the level of learning your company is on. Then go to the layer that is weakest now: knowledge, training, the corporate university, mentoring, managers or succession. Section and lecture titles show how many tools are inside, and each lecture description lists them by name. What is included 48 lectures across 17 sections, 21.5 hours 59 downloadable resources: lecture presentations and a working file 453 tools across the lessons, including 30 services and apps shown on screen Lifetime access to all materials Active instructor support in the Q&A section A Udemy Certificate of Completion Where to start Name the one person whose resignation would hurt most. Open the lecture on creating and storing knowledge, take the capture tools and plan one interview with that person this month. What you write down will stay in the company. Enrol now and start your first lesson today.Who this course is for:L&D and talent leaders building the function and not just running separate trainingsKnowledge managers who need the system to survive beyond the first wiki pageHR directors responsible for capability across the whole organisationCorporate university teams setting up or restructuring the institutionBusiness leaders who keep losing critical expertise when people leaveConsultants designing capability programmes for client organisations

Dieser Kurs wurde unter Zuhilfenahme von künstlicher Intelligenz erstellt. ISO 9001:2026, die sechste Ausgabe, wurde im September 2026 veröffentlicht. Wenn Ihre Organisation ein Zertifikat nach ISO 9001:2015 hat, steht jetzt eine Umstellung an. Dieser Kurs zeigt Ihnen, was sich geändert hat, was sich nicht geändert hat und was daraus zu tun ist. Geschrieben nach der veröffentlichten Norm. Jede Änderung in diesem Kurs wurde am veröffentlichten Text von 2026 geprüft. Das ist wichtig, denn viele Artikel aus der Zeit vor der Veröffentlichung beschreiben Anforderungen, die nicht in der Norm stehen. Wir benennen diese Mythen und korrigieren sie, damit Sie Ihr Budget nicht für Arbeit ausgeben, die niemand verlangt hat. Was der Kurs behandelt Wie man die Ausgabe 2026 liest: der Aufbau, der neu geschriebene Anhang A und der neue Wortlaut zur dokumentierten Information Jede belegte Änderung in den Abschnitten 4 bis 10, jeweils mit einem direkten Vergleich von 2015 und 2026 Die neuen Unterabschnitte zu Risiken (6.1.2) und Chancen (6.1.3) und die erweiterte Planung von Änderungen (6.3) Qualitätskultur und ethisches Verhalten im Abschnitt zur Führung, und welche Nachweise sie brauchen Die Regeln und der Zeitplan der Umstellung, festgelegt von der Gemeinschaft der Akkreditierung, und wie Sie sie mit Ihrer Zertifizierungsstelle klären Eine Methode für die Gap-Analyse, ein Plan für die Aktualisierung der Dokumente und die Vorbereitung auf das Transitionsaudit Ein Unternehmen von Anfang bis Ende. Wir begleiten Meridia Precision Tools, ein Unternehmen der Präzisionszerspanung mit zwei zertifizierten Werken, durch seine eigene Umstellung. Sie sehen sein Gap-Register, seine aktualisierte Qualitätspolitik, sein neues Änderungsformular und sein Transitionsaudit. Was Sie erhalten 27 kurze Videolektionen mit Untertiteln, insgesamt etwa drei Stunden Sechs Quiz zu den Kapiteln und eine Übungsprüfung mit 30 Fragen und Erklärungen Eine Übungsaufgabe mit ausgearbeiteter Lösung: eine Gap-Analyse an acht Auszügen aus einem realistischen Qualitätsmanagementsystem Vier Downloads: eine Änderungsübersicht 2015 zu 2026, eine Checkliste zur Gap-Analyse, eine Vorlage für den Umstellungsplan und eine Begriffskarte Was dieser Kurs nicht ist. Er ist keine Einführung in ISO 9001. Wir setzen voraus, dass Sie die Ausgabe 2015 schon kennen oder in einem System arbeiten, das auf ihr aufbaut. Der Kurs gibt den Text der Norm nicht wieder. Wir nennen Abschnittsnummern und erklären jede Anforderung in eigenen Worten, deshalb ist ein Exemplar der ISO 9001:2026 neben den Lektionen nützlich. Am Ende können Sie der obersten Leitung jede Änderung erklären, die Gap-Analyse mit Ihren Prozesseignern durchführen, nur die Dokumente aktualisieren, die es brauchen, und einem Auditor klare Nachweise der Konformität zeigen.Who this course is for:Qualitätsmanager und Beauftragte der Leitung, die die Umstellung auf ISO 9001:2026 leitenInterne Auditoren, die nach der Ausgabe 2026 auditieren müssenBerater und Lead Implementer, die zertifizierte Kunden unterstützenProzesseigner und Führungskräfte, die wissen müssen, was die neue Ausgabe von ihnen verlangtAuditoren von Zertifizierungsstellen, die einen geordneten Überblick über die Änderungen wünschen

Este curso contém o uso de inteligência artificial.Todo mundo está vendendo "agentes" agora. Alguns desses produtos realmente planejam, chamam ferramentas e concluem trabalhos de vários passos. Muitos são chatbots ou fluxos fixos com um rótulo novo. Este curso dá a você uma forma clara e neutra em relação a fornecedores de perceber a diferença, e depois leva você de entender agentes a construir, testar e calcular o custo de um. É uma introdução ampla para profissionais e para quem está começando a construir. Você não precisa de formação em machine learning. Se você usa o ChatGPT, o Claude, o Gemini ou o Copilot com frequência e quer saber o que muda quando o modelo começa a agir, este é o ponto de partida certo. Uma empresa, um piloto, do início ao fimAcompanhamos a Harborline Logistics, um agente de cargas fictício com uma fila de e-mails de status de remessa e papelada aduaneira atrasada. A equipe de operações roda um piloto de agente de 90 dias chamado Relay. Cada conceito do curso é aplicado a esse piloto, então você vê o mesmo agente crescer de um primeiro loop a um sistema testado, supervisionado e com custo calculado. O que o curso cobreSeção 1, O que a IA agêntica é de fato: chatbot, copiloto, fluxo de trabalho e agente; o loop do agente; cinco níveis de autonomia; como identificar o agent washingSeção 2, Como agentes pensam: modelo, ferramentas e instruções; ReAct, planejamento e reflexão; cinco padrões de fluxo e quando não usar um agenteSeção 3, Ferramentas, MCP e uso do computador: chamada de ferramentas, o Model Context Protocol, uso do navegador e do computador, e os modos agente do ChatGPT, do Claude e do GeminiSeção 4, Memória, conhecimento e contexto: engenharia de contexto, recuperação (RAG), habilidades e a fundamentação de um agente nos procedimentos da empresaSeção 5, Agentes sem programar: o panorama no-code, escrever primeiro a especificação do agente e construir um agente de status de remessa no n8nSeção 6, Agentes em Python: escolher um SDK sem ficar preso, um agente funcional em cerca de cinquenta linhas, conectá-lo a um servidor MCP e ler tracesSeção 7, Sistemas multiagente: quando um agente não basta, orquestradores e transferências, o protocolo A2A e uma mesa aduaneira de dois agentesSeção 8, Confiança, valor e adoção: avaliação, modos de falha comuns e barreiras de proteção, aprovação humana, custo por tarefa, KPIs e um roteiro de adoção de 90 diasLaboratórios práticos que rodam no seu próprio computadorOs laboratórios de construção rodam localmente com ferramentas gratuitas: Python, Ollama para modelos locais e n8n no Docker. Nenhuma chave de API paga é necessária. A pasta inicial inclui uma API simulada de rastreamento de remessas, um servidor MCP, doze procedimentos da Harborline e os e-mails de teste e casos aduaneiros usados nos vídeos. Lab 1: rode a mesma tarefa nos modos agente do ChatGPT, do Claude e do Gemini e leia os registros de açõesLab 2: indexe os procedimentos da Harborline e compare respostas com e sem recuperaçãoLab 3: construa um agente de status no-code no n8n e rode-o com dez e-mails de testeLab 4: refaça esse agente em Python, coloque a ferramenta atrás de um servidor MCP e ache um bug plantado pelo traceLab 5: acrescente um segundo agente com uma transferência e compare resultados e uso de tokens com o agente únicoAlgumas observações honestas. O Lab 1 usa o modo agente de um assistente de chat no seu navegador, e os modos agente disponíveis dependem do seu plano e da sua região. Se o seu não oferecer um, você ainda pode acompanhar as sessões gravadas. Modelos locais não são determinísticos, então as suas respostas e taxas de acerto vão variar um pouco em relação aos vídeos. O modelo local usado nos laboratórios precisa de cerca de 6 GB de memória livre. A seção de Python é opcional se você só quiser os conceitos e o caminho no-code. Prática e avaliaçãoCada uma das oito seções tem um quiz e uma tarefa prática com uma resposta modelo comentada. O projeto final pede que você escolha uma tarefa do seu próprio trabalho e produza uma especificação de agente, um nível de autonomia com pontos de aprovação, um conjunto de avaliação de dez casos e uma estimativa de custo com um roteiro de 90 dias. Um exame prático final de 60 perguntas cobre as oito seções. O que este curso não éNão é um curso aprofundado de engenharia sobre um único framework, e não promete emprego, certificação nem um resultado específico. É um mapa da área, com prática suficiente para você avaliar propostas de agentes, rodar um piloto pequeno e decidir o que aprender em seguida. As ferramentas desta área mudam rápido, então o curso ensina peças portáteis (especificação, prompts, ferramentas e avaliações) que continuam valendo quando uma plataforma muda.Who this course is for:Profissionais do conhecimento, analistas e líderes de operações que querem delegar trabalhos de vários passos a agentesGerentes de produto, consultores e líderes de equipe que precisam avaliar propostas, fornecedores e pilotos de agentesQuem constrói com low-code e desenvolvedores júnior ou em transição de carreira que querem um mapa neutro antes de escolher um frameworkNão é para engenheiros de agentes experientes que buscam um mergulho profundo num framework ou em arquitetura de produção

💡 Expert Insight: 🚀 **Career Boost:** In today's data-saturated professional landscape, the ability to transform complex ideas and raw data into clear, compelling narratives is a non-negotiable skill. This course empowers you to transcend basic slide functionality, equipping you to design influential presentations that capture attention, drive decisions, and elevate your credibility in any industry.Are you ready to transform a blank PowerPoint slide into a stunning, impactful presentation that grabs attention and delivers results?In "Microsoft PowerPoint: Blank Slide to Powerful Presentation," you'll learn how to create professional-quality presentations from scratch—even if you’ve never used PowerPoint before. This course is designed to take you step-by-step through the process of building visually engaging, well-structured, and persuasive presentations for any audience.Whether you're preparing for a business pitch, academic project, team meeting, or public speaking event, this course equips you with the tools and techniques to communicate your ideas with clarity and confidence.What you’ll learn:Navigating the PowerPoint Interface: Ribbon, Slides Pane, and Status BarUnderstanding File Formats (.pptx, .ppt, .pdf)Creating a New PresentationChoosing a Theme and TemplateAdding New Slides and Choosing Slide LayoutsOverview of the Ribbon: Home, Insert, Design, Transitions, Animations, etc.Adding Text to SlidesFormatting Fonts: Size, Style, Color, and EffectsApplying Bold, Italic, Underline, and StrikethroughWorking with Bullet Points and Numbered ListsAligning Text (Left, Center, Right, Justify)Using the Paragraph Dialog BoxInserting Images and Graphics into SlidesResizing, Cropping, and Adjusting Image QualityUsing Image Styles and EffectsInserting and Customizing ShapesCreating and Modifying SmartArt DiagramsWorking with Icons and ChartsInserting and Formatting TablesCustomizing Table StylesAdding Videos and Audio Files to SlidesChoosing and Applying Slide TransitionsCustomizing Transition Speed and EffectsPreviewing and Applying Transitions to Multiple SlidesAdding Animations to Text, Images, and ShapesCustomizing Animation Effects and TimingUsing Animation Triggers and DelaysSetting Up Animation SequencesApplying and Customizing ThemesCreating a Custom Theme for Your PresentationCreating and Modifying Custom LayoutsWorking with the Title Slide MasterChanging the Color Scheme for ConsistencyCreating Hyperlinks to Other Slides, Documents, or WebpagesUsing Action Buttons for Interactive PresentationsLinking to External Files and DocumentsMastering PowerPoint Keyboard ShortcutsNo design or presentation experience needed—just your ideas and the desire to make them shine.Enroll now and learn how to turn a blank slide into a powerful story!Who this course is for:Anyone who wants to learn to use Microsoft PowerPointPeople who want to learn how to animate and build engaging presentationsPeople who want to advance professionallyBeginners who wants to master PowerPoint

Prepare to pass your Financial Modeling & Valuation Analyst assessment on your first attempt with this comprehensive FMVA certification prep course featuring full-length mock exams, scenario-based practice questions, and exhaustive step-by-step arithmetic explanations. Designed specifically for aspiring investment bankers, equity research analysts, private equity associates, and corporate FP&A professionals, this practice test suite simulates the rigor, timing, and multi-disciplinary structure of the official CFI FMVA final examination. Every multiple-choice question is engineered to test your mastery across essential financial modeling competencies, including dynamic three-statement financial modeling, balance sheet balancing mechanics, circular reference debt sweeps, working capital forecasting, and advanced Excel formula auditing. You will gain deep, practical command over corporate valuation methodologies by evaluating discounted cash flow (DCF) models, unlevered free cash flow (FCFF) derivations, weighted average cost of capital (WACC) estimations via the Capital Asset Pricing Model (CAPM), terminal value calculations using both perpetuity growth and exit multiple approaches, and enterprise value to equity value bridge adjustments. Furthermore, these practice tests thoroughly assess your applied corporate finance knowledge across comparable company analysis (trading comps), precedent transactions, mergers and acquisitions (M&A) pro forma accretion/dilution modeling, purchase price allocations, leveraged buyout (LBO) debt scheduling, and return sensitivity tables (IRR and MoIC). Each question features comprehensive explanations detailing not only why the correct financial formula applies, but also unpacking why standard distractor options are mathematically flawed, helping you eliminate critical errors and refine your test-taking intuition. Whether you are validating your financial modeling skills before taking the official exam or preparing for demanding financial analyst technical interviews, these realistic mock exams bridge theoretical financial accounting with institutional-grade modeling standards, ensuring you build the technical speed, analytical precision, and confidence required to excel and earn your FMVA certification.Who this course is for:Students and professionals actively preparing to pass the official CFI FMVA® certification exam on their first try.Aspiring investment bankers, equity research associates, and FP&A analysts testing their valuation and financial modeling skills.

Dieser Kurs wurde unter Zuhilfenahme von künstlicher Intelligenz erstellt.Alle verkaufen gerade „Agenten“. Manche dieser Produkte planen tatsächlich, rufen Tools auf und erledigen mehrstufige Arbeit. Viele sind Chatbots oder feste Workflows mit neuem Etikett. Dieser Kurs gibt Ihnen einen klaren, anbieterneutralen Weg, den Unterschied zu erkennen, und führt Sie dann vom Verständnis von Agenten bis dahin, einen zu bauen, zu testen und seine Kosten zu berechnen. Er ist eine breite Einführung für Fachleute und neue Entwickler. Sie brauchen keinen Hintergrund in maschinellem Lernen. Wenn Sie ChatGPT, Claude, Gemini oder Copilot regelmäßig nutzen und wissen wollen, was sich ändert, wenn das Modell anfängt zu handeln, ist dies der richtige Einstieg. Ein Unternehmen, ein Pilotprojekt, von Anfang bis EndeWir begleiten Harborline Logistics, eine erfundene Spedition mit einem Rückstau an E-Mails zum Sendungsstatus und verspäteten Zollpapieren. Das Betriebsteam führt ein Agenten-Pilotprojekt über 90 Tage namens Relay durch. Jedes Konzept des Kurses wird auf dieses Pilotprojekt angewendet, sodass Sie denselben Agenten von einer ersten Schleife bis zu einem getesteten, beaufsichtigten und kalkulierten System wachsen sehen. Was der Kurs behandeltAbschnitt 1, Was agentische KI ausmacht: Chatbot, Copilot, Workflow und Agent; die Agentenschleife; fünf Autonomiestufen; wie man Agent Washing erkenntAbschnitt 2, Wie Agenten denken: Modell, Tools und Anweisungen; ReAct, Planung und Reflexion; fünf Workflow-Muster und wann man keinen Agenten nutztAbschnitt 3, Tools, MCP und Computer Use: Tool-Aufrufe, das Model Context Protocol, Browser- und Computer-Nutzung sowie Agentenmodi in ChatGPT, Claude und GeminiAbschnitt 4, Gedächtnis, Wissen und Kontext: Context Engineering, Abruf (RAG), Skills und wie man einen Agenten in Arbeitsanweisungen des Unternehmens verankertAbschnitt 5, Agenten ohne Code bauen: die No-Code-Landschaft, zuerst eine Agentenspezifikation schreiben und einen Sendungsstatus-Agenten in n8n bauenAbschnitt 6, Agenten in Python bauen: ein SDK ohne Bindung wählen, ein funktionierender Agent in etwa fünfzig Zeilen, die Anbindung an einen MCP-Server und das Lesen von TracesAbschnitt 7, Multi-Agenten-Systeme: wann ein Agent nicht reicht, Orchestratoren und Übergaben, das A2A-Protokoll und ein Zollschalter mit zwei AgentenAbschnitt 8, Vertrauen, Nutzen, Einführung: Evaluation, typische Fehlermuster und Guardrails, menschliche Freigabe, Kosten pro Aufgabe, KPIs und eine Einführungs-Roadmap über 90 TagePraxis-Labs, die auf Ihrem eigenen Computer laufenDie Bau-Labs laufen lokal mit kostenlosen Tools: Python, Ollama für lokale Modelle und n8n in Docker. Sie brauchen keinen kostenpflichtigen API-Schlüssel. Der Starter-Ordner enthält eine Mock-API für die Sendungsverfolgung, einen MCP-Server, zwölf Arbeitsanweisungen von Harborline sowie die Test-E-Mails und Zollfälle aus den Videos. Lab 1: dieselbe Aufgabe in den Agentenmodi von ChatGPT, Claude und Gemini ausführen und ihre Aktionsprotokolle lesenLab 2: die Arbeitsanweisungen von Harborline indexieren und Antworten mit und ohne Abruf vergleichenLab 3: einen No-Code-Status-Agenten in n8n bauen und ihn mit zehn Test-E-Mails ausführenLab 4: diesen Agenten in Python nachbauen, sein Tool hinter einen MCP-Server verlegen und einen eingebauten Fehler im Trace findenLab 5: einen zweiten Agenten mit Übergabe ergänzen und Ergebnisse und Token-Verbrauch mit dem einzelnen Agenten vergleichenEin paar ehrliche Hinweise. Lab 1 nutzt den Agentenmodus eines Chat-Assistenten in Ihrem Browser, und welche Agentenmodi Sie nutzen können, hängt von Ihrem Tarif und Ihrer Region ab. Bietet Ihrer keinen an, können Sie den aufgezeichneten Sitzungen trotzdem folgen. Lokale Modelle sind nicht deterministisch, daher weichen Ihre Antworten und Erfolgsquoten etwas von den Videos ab. Das lokale Modell der Labs braucht etwa 6 GB freien Arbeitsspeicher. Der Python-Abschnitt ist optional, wenn Sie nur die Konzepte und den No-Code-Weg wollen. Übung und LernkontrolleJeder der acht Abschnitte hat ein Quiz und eine Praxisaufgabe mit ausgearbeiteter Musterlösung. Im Abschlussprojekt wählen Sie eine Aufgabe aus Ihrem eigenen Job und erstellen eine Agentenspezifikation, eine Autonomiestufe mit Freigabeschritten, ein Evaluations-Set mit zehn Fällen und eine Kostenschätzung mit einer Roadmap über 90 Tage. Ein abschließender Übungstest mit 60 Fragen deckt alle acht Abschnitte ab. Was dieser Kurs nicht istEr ist kein tiefgehender Engineering-Kurs zu einem einzelnen Framework, und er verspricht weder einen Job noch ein Zertifikat noch ein bestimmtes Ergebnis. Er ist eine Landkarte des Feldes mit genug Praxis, damit Sie Agentenvorschläge beurteilen, ein kleines Pilotprojekt durchführen und entscheiden können, was Sie als Nächstes lernen. Die Tools in diesem Feld ändern sich schnell, deshalb lehrt der Kurs portable Bausteine (Spezifikation, Prompts, Tools und Evaluationen), die bei einem Plattformwechsel erhalten bleiben.Who this course is for:Wissensarbeiter, Analysten und Betriebsleiter, die mehrstufige Arbeit an Agenten delegieren wollenProduktmanager, Berater und Teamleiter, die Agentenvorschläge, Anbieter und Pilotprojekte beurteilen müssenLow-Code-Entwickler sowie Einsteiger und Quereinsteiger in die Entwicklung, die vor der Framework-Wahl eine anbieterneutrale Landkarte wollenNicht für erfahrene Agenten-Entwickler, die eine Vertiefung in ein Framework oder in Produktionsarchitektur suchen
Get access to 115+ premium paid courses collection with 8000+ videos and 3500+ files on Telegram
Get access to 115+ premium paid courses collection with 8000+ videos and 3500+ files on Telegram