[{"data":1,"prerenderedAt":97},["ShallowReactive",2],{"guide:calisanlara-hangi-yapay-zeka-egitimi-verilmeli:en":3},{"id":4,"title":5,"slug":6,"excerpt":7,"cover_image_url":8,"published_at":9,"reviewed_at":10,"body":11,"seo_title":12,"meta_description":12,"faq":13,"related_trainings":29,"updated_at":96},6,"What AI training should be given to employees?","calisanlara-hangi-yapay-zeka-egitimi-verilmeli","AI training for employees should be determined by role. A short common foundation covering data rules and output verification for all employees; generative AI tools and prompt writing for business units; strategy and risk for managers; AI-assisted development for software teams; and application development training such as RAG and agent architectures for data teams are appropriate.","https:\u002F\u002Facademyclub.b-cdn.net\u002Fguides\u002F64d0e6fd0325434dbbb5aa44294c6d6a.webp","2026-10-14T15:46:15.601742+03:00","2026-10-14","\u003Ch2>Short answer\u003C\u002Fh2>\u003Cp>AI training for employees should be determined by role. A short common foundation covering data rules and output verification for all employees; generative AI tools and prompt writing for business units; strategy and risk for managers; AI-assisted development for software teams; and application development training such as RAG and agent architectures for data teams are appropriate.\u003C\u002Fp>\u003Ch2>Key concepts\u003C\u002Fh2>\u003Cp>\u003Cstrong>Generative AI:\u003C\u002Fstrong> The general term for AI tools that produce new content such as text, code, and images.\u003C\u002Fp>\u003Cp>\u003Cstrong>RAG (Retrieval-Augmented Generation):\u003C\u002Fstrong> An architecture in which the model finds and uses relevant information from an organization's own documents before generating a response.\u003C\u002Fp>\u003Ch2>Which role should receive which AI training?\u003C\u002Fh2>\u003Cp>Every role has different needs; giving the same training to the entire company both bores technical teams and leaves business units behind.\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Role\u003C\u002Fth>\u003Cth>Training focus\u003C\u002Fth>\u003Cth>Learning goal\u003C\u002Fth>\u003Cth>Example content\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>All employees\u003C\u002Ftd>\u003Ctd>Literacy and usage rules\u003C\u002Ftd>\u003Ctd>Using the tool safely, verifying output\u003C\u002Ftd>\u003Ctd>Short internal module\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Managers\u003C\u002Ftd>\u003Ctd>Strategy, use cases, risk\u003C\u002Ftd>\u003Ctd>Prioritization and investment decisions\u003C\u002Ftd>\u003Ctd>\u003Ca href=\"https:\u002F\u002Facademyclub.co\u002Fegitimler\u002Fis-degeri-olusturmak-icin-microsoft-yapay-zeka-stratejileri-egitimi\" rel=\"noopener noreferrer\">Microsoft AI Strategies\u003C\u002Fa>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Business units\u003C\u002Ftd>\u003Ctd>Generative AI tools, prompt writing\u003C\u002Ftd>\u003Ctd>Saving time in daily work\u003C\u002Ftd>\u003Ctd>\u003Ca href=\"https:\u002F\u002Facademyclub.co\u002Fegitimler\u002Furetken-yapay-zeka-araclari-ve-efektif-kullanimlari-egitimi\" rel=\"noopener noreferrer\">Generative AI Tools\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Facademyclub.co\u002Fegitimler\u002Fprompt-engineering-openai-egitimi\" rel=\"noopener noreferrer\">Prompt Engineering & OpenAI\u003C\u002Fa>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Software teams\u003C\u002Ftd>\u003Ctd>AI-assisted development\u003C\u002Ftd>\u003Ctd>Integrating an assistant into code, testing, and review\u003C\u002Ftd>\u003Ctd>\u003Ca href=\"https:\u002F\u002Facademyclub.co\u002Fegitimler\u002Fclaude-ile-yapay-zeka-destekli-yazilim-gelistirme\" rel=\"noopener noreferrer\">AI-Assisted Software Development with Claude\u003C\u002Fa>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Data and AI teams\u003C\u002Ftd>\u003Ctd>Enterprise LLM applications\u003C\u002Ftd>\u003Ctd>Building systems that work with organizational data\u003C\u002Ftd>\u003Ctd>\u003Ca href=\"https:\u002F\u002Facademyclub.co\u002Fegitimler\u002Fadvanced-rag-kurumsal-llm-uygulamalari\" rel=\"noopener noreferrer\">Advanced RAG & Enterprise LLM Applications\u003C\u002Fa>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Security and compliance\u003C\u002Ftd>\u003Ctd>AI security\u003C\u002Ftd>\u003Ctd>Managing model attacks and data leakage\u003C\u002Ftd>\u003Ctd>Custom enterprise program\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Cp>Academy Club's AI catalog includes content covering most of these roles, from tool training for business units to advanced technical topics such as agent architecture and MLOps.\u003C\u002Fp>\u003Ch2>Is a common foundational training necessary for all employees?\u003C\u002Fh2>\u003Cp>Yes. Regardless of which tool is used, there is a short common foundation every employee should know:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Data rules:\u003C\u002Fstrong> Personal data, customer information, and trade secrets should not be entered into publicly available tools.\u003C\u002Fli>\u003Cli>\u003Cstrong>Output verification:\u003C\u002Fstrong> The model can produce convincing but inaccurate answers; responsibility lies with the user.\u003C\u002Fli>\u003Cli>\u003Cstrong>Approved tools:\u003C\u002Fstrong> Which tool can be used for which task is determined by organizational policy.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>For organizations operating in the EU, this is a legal obligation: Article 4 of the EU AI Act requires that staff have sufficient AI literacy (\u003Ca href=\"https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2024\u002F1689\u002Foj\" rel=\"noopener noreferrer\">Regulation (EU) 2024\u002F1689\u003C\u002Fa>).\u003C\u002Fp>\u003Ch2>Which trainings should be prioritized for technical teams?\u003C\u002Fh2>\u003Cp>For software teams, the priority is integrating assistants into existing steps such as testing, code review, and documentation; for data teams, it is building systems that work with organizational data and whose accuracy can be measured.\u003C\u002Fp>\u003Cp>In regulated industries, security should be a separate topic. For example, the AI Security program Academy Club designed for Fibabank covered types of model attacks and the integration of generative AI tools into banking systems without data leakage (\u003Ca href=\"https:\u002F\u002Facademyclub.co\u002Fhaberler\u002Ffibabanka-ai-security-egitimi\" rel=\"noopener noreferrer\">news\u003C\u002Fa>).\u003C\u002Fp>\u003Ch2>How is priority decided among trainings?\u003C\u002Fh2>\u003Cp>Priority is determined by starting with the role that has the highest business impact and the most readiness.\u003C\u002Fp>\u003Col>\u003Cli>\u003Cstrong>List the use cases.\u003C\u002Fstrong> Write down which task AI will accelerate in each unit.\u003C\u002Fli>\u003Cli>\u003Cstrong>Prepare the tools and policy.\u003C\u002Fstrong> Ensure approved tools and rules are ready before training begins.\u003C\u002Fli>\u003Cli>\u003Cstrong>Give everyone the common foundation.\u003C\u002Fstrong> Start with a short, mandatory module.\u003C\u002Fli>\u003Cli>\u003Cstrong>Deepen with a pilot role, measure, and scale.\u003C\u002Fstrong> Start with the team where business impact will be most clearly visible, then move to other roles based on results.\u003C\u002Fli>\u003C\u002Fol>\u003Ch2>Observations from the field: Where do organizations miss the role distinction?\u003C\u002Fh2>\u003Cp>Organizations most often struggle because they put all employees through a single awareness training and consider the matter closed. The observations below are based on recurring situations Academy Club has encountered in corporate technical training.\u003C\u002Fp>\u003Cp>\u003Cstrong>Awareness training doesn't change behavior.\u003C\u002Fstrong> Participants learn what AI can do but don't see how to apply it to their own work. If a role-based hands-on session doesn't follow the common foundation, usage remains low.\u003C\u002Fp>\u003Cp>\u003Cstrong>Software teams want process training, not tool training.\u003C\u002Fstrong> Most developers have already tried code assistants. The real value comes from the team deciding together how the assistant will fit into review and testing steps.\u003C\u002Fp>\u003Cp>[EDITOR: A 1-2 sentence opinion from an Academy Club instructor on designing role-based AI training should be added to this section.]\u003C\u002Fp>\u003Ch2>Conclusion\u003C\u002Fh2>\u003Cp>AI training for employees should be planned with a common foundation for everyone, followed by programs tailored to each role's own work. If you would like to design a custom program for the roles in your organization, you can fill out Academy Club's \u003Ca href=\"https:\u002F\u002Facademyclub.co\u002Fegitimler\u002Ftalep\" rel=\"noopener noreferrer\">training request form\u003C\u002Fa>.\u003C\u002Fp>","",[14,17,20,23,26],{"answer":15,"question":16},"It is recommended that the common foundation module be mandatory, as it directly reduces data security risk. Role-based trainings should be selected according to need.","Should AI training be mandatory?",{"answer":18,"question":19},"It is most practical to deliver training through the tool the organization has approved. If a tool hasn't been chosen yet, opt for content that teaches concepts independently of any specific tool.","Which tool should training be based on?",{"answer":21,"question":22},"It should be reviewed at least once a year. An interim update is needed whenever the organization's tool or policy changes.","How often should training content be updated?",{"answer":24,"question":25},"Employees without coding knowledge can set up simple workflows using no-code tools. However, agents that access organizational data require security and permission design, so they should be set up together with the technical team.","Can employees without coding knowledge build automation?",{"answer":27,"question":28},"Technical depth isn't necessary, but it's important for the team to know the scope of the training they've received. A short management session makes it easier to allow time and permission for usage after training.","Should managers attend technical trainings?",[30,43,50,57,64,71,84],{"id":31,"title":32,"slug":33,"summary":34,"cover_image_url":35,"category":36,"duration_hours":42,"level":12,"module_count":41},28,"Generative AI Tools and Effective Usage Training","uretken-yapay-zeka-araclari-ve-efektif-kullanimlari-egitimi","With the introduction of generative AI tools such as ChatGPT, Claude, Gemini, and Midjourney into the business world, the way we work is being fundamentally transformed across many areas—from writing and code development to marketing content and data analysis. Companies are now saving time, reducing operational workload, and generating more creative solutions by leveraging these tools in report preparation, presentation design, customer communication, software development, and strategic decision-making processes. However, unlocking the true potential of these tools requires knowing proper prompt writing techniques and understanding the limitations of these tools as well as ethical usage principles.\n\nThe Generative AI Tools and Effective Usage Training equips participants with hands-on knowledge of how to integrate these technologies into their daily workflows, which tools to use in which scenarios, and prompt engineering techniques that maximize productivity. For corporate organizations, this training offers a concrete roadmap for increasing employee productivity, saving time on repetitive tasks, improving content quality, and making a safe, ethical, and strategic transition to AI-supported business processes.","https:\u002F\u002Facademyclub.b-cdn.net\u002Ftrainings\u002F4bbcce04dc1a497c990d02c8a35ae702.webp",{"id":37,"name":38,"slug":39,"icon":40,"order":41},1,"Artificial Intelligence","yapay-zeka","pi-sparkles",0,null,{"id":44,"title":45,"slug":46,"summary":47,"cover_image_url":48,"category":49,"duration_hours":42,"level":12,"module_count":41},125,"AI-Powered Software Development with Claude","claude-ile-yapay-zeka-destekli-yazilim-gelistirme","AI-powered coding tools are fundamentally transforming software development processes, dramatically increasing developer productivity. Claude, developed by Anthropic, is favored today by a wide range of users—from individual developers to large-scale software teams—thanks to its advanced code understanding, generation, and debugging capabilities; it is effectively used in critical areas such as code review, documentation generation, test writing, architectural design, and modernization of legacy systems. In an increasingly competitive software industry, teams equipped with the right tools can shorten development timelines while improving code quality and reducing technical debt.\n\nThis training aims to equip participants with hands-on examples of how to effectively use Claude at every stage of the software development lifecycle; participants will learn to get maximum value from Claude in code generation, refactoring, debugging, and documentation processes, gaining concrete skills they can integrate into their daily workflows. From a corporate perspective, this training enables software teams to increase development speed while improving code quality, resulting in shorter project delivery times, reduced operational costs, and the ability for technical teams to focus on more strategic work.","https:\u002F\u002Facademyclub.b-cdn.net\u002Ftrainings\u002F265adb70a49d44b2b3848fc6738eff41.webp",{"id":37,"name":38,"slug":39,"icon":40,"order":41},{"id":51,"title":52,"slug":53,"summary":54,"cover_image_url":55,"category":56,"duration_hours":42,"level":12,"module_count":41},63,"Artificial Intelligence Training","yapay-zeka-egitimi","Artificial intelligence has become a force that is fundamentally transforming the way business is done across nearly every sector today, from manufacturing to healthcare, from finance to retail. Machine learning algorithms are used extensively, ranging from demand forecasting to fraud detection, natural language processing technologies from customer service to content generation, and computer vision systems from quality control to security applications. With the rapid proliferation of generative AI tools, artificial intelligence has now moved to the center of the strategic agenda not only for large technology companies but for organizations of every size, becoming an indispensable area of competence for companies seeking competitive advantage.\n\nThis training provides participants with a comprehensive perspective spanning from the fundamental concepts of artificial intelligence to current generative AI applications, equipping them with the ability to translate theoretical knowledge into real business solutions. From a corporate perspective, this training enables employees to integrate AI tools into daily business processes, adopt a data-driven decision-making culture, and take an active role in internal efficiency projects. Offered by Academy Club, this training is designed to accelerate your organization's digital transformation journey, prepare your teams for the technologies of the future, and turn artificial intelligence into not just a trend, but a sustainable competitive advantage.","https:\u002F\u002Facademyclub.b-cdn.net\u002Ftrainings\u002F8d37dbb933dd4eea96fe04c327f26553.webp",{"id":37,"name":38,"slug":39,"icon":40,"order":41},{"id":58,"title":59,"slug":60,"summary":61,"cover_image_url":62,"category":63,"duration_hours":42,"level":12,"module_count":41},25,"AI in Healthcare Training","saglikta-yapay-zeka-egitimi","Artificial intelligence has become a force that is fundamentally transforming the healthcare industry, delivering speed and accuracy beyond human capacity in areas ranging from disease diagnosis to drug development, from imaging analysis to patient monitoring. Applications such as tumor detection in radiological images, genetic data analysis, intelligent triage systems, automated interpretation of electronic health records, and clinical decision support systems are becoming increasingly widespread in hospitals and health technology companies today. This transformation makes it essential for both clinical staff and health technology developers to understand and effectively use artificial intelligence tools.\n\nThe AI in Healthcare Training provides participants with a comprehensive overview of the fundamental principles of these technologies, the machine learning methods used in health data analysis, and concrete examples from clinical applications. From an organizational perspective, this training accelerates the adaptation of clinical teams to AI-powered systems while also providing a competitive advantage in R&D and innovation processes; it directly strengthens operational efficiency and patient safety by enhancing the capacity of hospital management, health technology companies, and insurance institutions to make data-driven, fast, and accurate decisions.","https:\u002F\u002Facademyclub.b-cdn.net\u002Ftrainings\u002Fbda8d7219cc04cc6ad90a5854c850a05.webp",{"id":37,"name":38,"slug":39,"icon":40,"order":41},{"id":65,"title":66,"slug":67,"summary":68,"cover_image_url":69,"category":70,"duration_hours":42,"level":12,"module_count":41},24,"Microsoft AI Strategies for Business Value Creation Training","is-degeri-olusturmak-icin-microsoft-yapay-zeka-stratejileri-egitimi","Artificial intelligence has evolved from an experimental technology for companies into a strategic business tool that creates competitive advantage. Microsoft's solutions—including Copilot, Azure AI, Power Platform, and Azure OpenAI Service—are being used to generate tangible business value across numerous domains, from customer service to financial analysis, supply chain optimization to human resources processes. Today, globally leading organizations position AI not merely as a productivity tool, but as a transformation engine that creates new revenue models and customer experiences.\n\nThis training teaches participants, through hands-on examples, how to connect Microsoft's AI ecosystem with business objectives to convert it into tangible value. Participants gain the skills to properly prioritize AI investments within their organizations, achieve measurable results, and build a sustainable digital transformation roadmap. For corporate organizations, this training directly contributes to accelerating the return on technology investments, enhancing AI literacy across teams, and making strategic decisions that stand out in a competitive market.","https:\u002F\u002Facademyclub.b-cdn.net\u002Ftrainings\u002Fabac73e017cc4121bc5c796f682f97ce.webp",{"id":37,"name":38,"slug":39,"icon":40,"order":41},{"id":72,"title":73,"slug":74,"summary":75,"cover_image_url":76,"category":77,"duration_hours":42,"level":12,"module_count":83},134,"Using Artificial Intelligence in Business Analysis","is-analizinde-yapay-zeka-kullanimi","The discipline of business analysis is undergoing a fundamental transformation today with the introduction of AI-powered tools. Time-consuming activities such as requirements gathering, process modeling, data analysis, and documentation can now be carried out much faster, more consistently, and more efficiently with generative AI models, natural language processing technologies, and automation tools.\n\nThis training aims to equip participants with the ability to effectively use AI tools throughout business analysis processes, to accelerate end-to-end business analysis activities—from requirements management to process improvement—with the help of AI, and to provide practical methods that enable more accurate decision-making. For corporate organizations, this training increases the productivity of business analysts, shortens project timelines, raises the quality of analysis, automates repetitive manual tasks to achieve cost savings, and contributes to turning artificial intelligence into a strategic advantage in the organization's digital transformation journey.","https:\u002F\u002Facademyclub.b-cdn.net\u002Ftrainings\u002F9c8d74a5f8504aaa8b2e72e087c8cdfb.webp",{"id":78,"name":79,"slug":80,"icon":81,"order":82},10,"Business & Leadership Skills","is-liderlik-becerileri","pi-users",9,7,{"id":85,"title":86,"slug":87,"summary":88,"cover_image_url":89,"category":90,"duration_hours":42,"level":12,"module_count":95},135,"AI Security","yapay-zeka-guvenligi-ai-security","Artificial intelligence technologies have become central to decision-making processes across numerous sectors, from customer service to finance, healthcare, manufacturing, and public services. With the widespread adoption of large language models, automated decision systems, and machine learning-based applications, new types of threats targeting these systems—such as prompt injection, data poisoning, model theft, and adversarial attacks—are rapidly increasing. In this domain where traditional cybersecurity approaches fall short, it is no longer a matter of choice but a necessity for business continuity and reputation management for organizations to secure their AI systems from the design stage onward.\n\nThe AI Security training equips participants with the skills to recognize threat models specific to AI systems, analyze attack scenarios, and implement defense mechanisms. For corporate organizations, this training creates a competitive advantage by enabling early detection of security vulnerabilities in AI projects, preventing data breaches and regulatory penalties, and supporting the development of compliant and resilient AI solutions that build trust among customers and business partners.","https:\u002F\u002Facademyclub.b-cdn.net\u002Ftrainings\u002F173589c70cf74a47b9015db38e11de7a.webp",{"id":91,"name":92,"slug":93,"icon":94,"order":37},2,"Cybersecurity","siber-guvenlik","pi-shield",4,"2026-10-14T17:39:26.331931+03:00",1792015379170]