{"id":52815,"date":"2026-02-26T08:34:21","date_gmt":"2026-02-26T07:34:21","guid":{"rendered":"https:\/\/www.itech-progress.com\/extended-trainings\/ai-agents-for-architects\/"},"modified":"2026-03-25T17:05:10","modified_gmt":"2026-03-25T16:05:10","slug":"ai-agents-for-architects","status":"publish","type":"page","link":"https:\/\/www.itech-progress.com\/en\/extended-trainings\/ai-agents-for-architects\/","title":{"rendered":"AI Agents for Architects"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; fullwidth=&#8221;on&#8221; _builder_version=&#8221;4.16&#8243; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_fullwidth_header title=&#8221;AI Agents For Architects&#8221; subhead=&#8221;Architectures For Agent-Based AI Systems&#8221; _builder_version=&#8221;4.27.6&#8243; title_level=&#8221;h3&#8243; title_font=&#8221;|700|||||||&#8221; title_line_height=&#8221;2em&#8221; content_quote_border_color=&#8221;#444444&#8243; subhead_font=&#8221;|700|||||||&#8221; 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subhead_line_height_tablet=&#8221;&#8221; subhead_line_height_phone=&#8221;1em&#8221; subhead_line_height_last_edited=&#8221;on|desktop&#8221; content_quote_font_size_tablet=&#8221;18px&#8221; content_quote_font_size_phone=&#8221;18px&#8221; content_quote_font_size_last_edited=&#8221;on|desktop&#8221; content_quote_line_height_tablet=&#8221;&#8221; content_quote_line_height_phone=&#8221;1em&#8221; content_quote_line_height_last_edited=&#8221;on|desktop&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>Format: Online Training<\/strong><br \/><strong>Duration: 2 day<\/strong><\/p>\n<p>[\/et_pb_fullwidth_header][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; disabled_on=&#8221;off|off|on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_button button_url=&#8221;#Ai_Agents_termine&#8221; button_text=&#8221;Directly to the Dates&#8221; button_alignment=&#8221;center&#8221; _builder_version=&#8221;4.27.6&#8243; custom_button=&#8221;on&#8221; button_text_size=&#8221;22px&#8221; button_text_color=&#8221;#ffffff&#8221; button_bg_color=&#8221;#fa870d&#8221; button_border_width=&#8221;0px&#8221; button_letter_spacing=&#8221;0px&#8221; button_font=&#8221;|600|||||||&#8221; button_icon=&#8221;&#xf073;||fa||400&#8243; button_icon_color=&#8221;#ffffff&#8221; button_icon_placement=&#8221;left&#8221; button_on_hover=&#8221;off&#8221; custom_margin=&#8221;-4px||9px||false|false&#8221; custom_padding=&#8221;4px|20px|4px|40px|false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221; button_bg_color__hover_enabled=&#8221;on|hover&#8221; button_bg_enable_color__hover=&#8221;on&#8221; button_bg_color__hover=&#8221;#fa870d&#8221;][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#ffffff&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text module_id=&#8221;Termine_CPSA-F_DE&#8221; _builder_version=&#8221;4.27.5&#8243; text_font=&#8221;|600|||||||&#8221; text_text_color=&#8221;#fa870d&#8221; text_font_size=&#8221;29px&#8221; header_font=&#8221;|600|||||||&#8221; header_text_color=&#8221;#fa870d&#8221; header_2_font=&#8221;|600|||||||&#8221; header_2_text_color=&#8221;#fa870d&#8221; custom_margin=&#8221;||5px||false|false&#8221; custom_padding=&#8221;||||false|true&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Architectures for agentic AI systems<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.5&#8243; header_2_font=&#8221;|600|||||||&#8221; header_2_text_color=&#8221;#fa870d&#8221; text_orientation=&#8221;justified&#8221; custom_margin=&#8221;20px||||false|false&#8221; custom_margin_tablet=&#8221;&#8221; custom_margin_phone=&#8221;25px||||false|false&#8221; custom_margin_last_edited=&#8221;on|desktop&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Agentic AI systems plan tasks, execute steps and coordinate tools. This training combines strong foundations with practical takeaways and shows how to architect and classify agentic AI systems. It focuses on the core building blocks of agentic systems and the key questions that should be addressed early in both design and operations. Upon completion of the training, participants will be able to assess agentic AI initiatives in a structured way and confidently justify architectural decisions, from the initial assessment to readiness for production environments. This training course is aimed at anyone who wants to efficiently integrate AI solutions into existing IT landscapes while focusing on aspects such as scalability, security and maintainability.<\/p>\n<p>[\/et_pb_text][et_pb_text module_id=&#8221;Termine_CPSA-F_DE&#8221; _builder_version=&#8221;4.27.4&#8243; text_font=&#8221;|600|||||||&#8221; text_text_color=&#8221;#fa870d&#8221; text_font_size=&#8221;29px&#8221; header_font=&#8221;|600|||||||&#8221; header_text_color=&#8221;#fa870d&#8221; header_2_font=&#8221;|600|||||||&#8221; header_2_text_color=&#8221;#fa870d&#8221; custom_margin=&#8221;||5px||false|false&#8221; custom_padding=&#8221;||||false|true&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>What can you expect?<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.5&#8243; header_2_font=&#8221;|600|||||||&#8221; header_2_text_color=&#8221;#fa870d&#8221; text_orientation=&#8221;justified&#8221; custom_margin=&#8221;20px||||false|false&#8221; custom_margin_tablet=&#8221;&#8221; custom_margin_phone=&#8221;25px||||false|false&#8221; custom_margin_last_edited=&#8221;on|desktop&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>The AI Agents for Architects training provides hands-on architectural knowledge for developing a structured understanding of agentic AI systems and positioning them appropriately in real-world initiatives. Participants learn to view agents as a combination of core building blocks and to understand the role of context, memory, and state in enabling reliable behavior. The training also emphasizes interoperability, including standards such as MCP, along with quality and observability, and the security and scalability requirements of production IT landscapes.<\/p>\n<p>[\/et_pb_text][et_pb_text module_id=&#8221;Termine_CPSA-F_DE&#8221; _builder_version=&#8221;4.27.5&#8243; text_font=&#8221;|600|||||||&#8221; text_text_color=&#8221;#fa870d&#8221; text_font_size=&#8221;29px&#8221; header_font=&#8221;|600|||||||&#8221; header_text_color=&#8221;#fa870d&#8221; header_2_font=&#8221;|600|||||||&#8221; header_2_text_color=&#8221;#fa870d&#8221; custom_margin=&#8221;||5px||false|false&#8221; custom_padding=&#8221;||||false|true&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]Prerequisites for Participants[\/et_pb_text][et_pb_blurb use_icon=&#8221;on&#8221; font_icon=&#8221;&#x45;||divi||400&#8243; icon_color=&#8221;#fa870d&#8221; icon_placement=&#8221;left&#8221; content_max_width=&#8221;640px&#8221; _builder_version=&#8221;4.27.5&#8243; custom_margin=&#8221;||13px|||&#8221; custom_padding=&#8221;13px||0px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Solid understanding of software architecture and the design of software systems, APIs, and integration interfaces<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb use_icon=&#8221;on&#8221; font_icon=&#8221;&#x45;||divi||400&#8243; icon_color=&#8221;#fa870d&#8221; icon_placement=&#8221;left&#8221; content_max_width=&#8221;640px&#8221; _builder_version=&#8221;4.27.5&#8243; custom_margin=&#8221;||21px|||&#8221; custom_padding=&#8221;||0px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Grundverst\u00e4ndnis von GenAI und LLM Nutzung, zum Beispiel Kontextfenster, Tokens sowie RAG als Konzept<\/p>\n<p>[\/et_pb_blurb][et_pb_text module_id=&#8221;Termine_CPSA-F_DE&#8221; _builder_version=&#8221;4.27.5&#8243; text_font=&#8221;|600|||||||&#8221; text_text_color=&#8221;#fa870d&#8221; text_font_size=&#8221;29px&#8221; header_font=&#8221;|600|||||||&#8221; header_text_color=&#8221;#fa870d&#8221; header_2_font=&#8221;|600|||||||&#8221; header_2_text_color=&#8221;#fa870d&#8221; custom_margin=&#8221;||5px||false|false&#8221; custom_padding=&#8221;||||false|true&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]Your Added Value[\/et_pb_text][et_pb_blurb use_icon=&#8221;on&#8221; font_icon=&#8221;&#x45;||divi||400&#8243; icon_color=&#8221;#fa870d&#8221; icon_placement=&#8221;left&#8221; content_max_width=&#8221;640px&#8221; _builder_version=&#8221;4.27.5&#8243; custom_margin=&#8221;||5px||false|false&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>You understand the agentic paradigm and can clearly distinguish agentic AI systems from classic GenAI scenarios.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb use_icon=&#8221;on&#8221; font_icon=&#8221;&#x45;||divi||400&#8243; icon_color=&#8221;#fa870d&#8221; icon_placement=&#8221;left&#8221; content_max_width=&#8221;640px&#8221; _builder_version=&#8221;4.27.5&#8243; custom_margin=&#8221;||5px||false|false&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>You learn how agents are architecturally designed and how their core building blocks can be embedded in a resilient overall system.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb use_icon=&#8221;on&#8221; font_icon=&#8221;&#x45;||divi||400&#8243; icon_color=&#8221;#fa870d&#8221; icon_placement=&#8221;left&#8221; content_max_width=&#8221;640px&#8221; _builder_version=&#8221;4.27.5&#8243; custom_margin=&#8221;||5px||false|false&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>You will acquire practical decision-making logic for context engineering as well as memory and state management.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb use_icon=&#8221;on&#8221; font_icon=&#8221;&#x45;||divi||400&#8243; icon_color=&#8221;#fa870d&#8221; icon_placement=&#8221;left&#8221; content_max_width=&#8221;640px&#8221; _builder_version=&#8221;4.27.5&#8243; custom_margin=&#8221;||5px||false|false&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>You will learn how tool integration and interoperability are structured in agent architectures, including in the context of MCP and multi-agent systems.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb use_icon=&#8221;on&#8221; font_icon=&#8221;&#x45;||divi||400&#8243; icon_color=&#8221;#fa870d&#8221; icon_placement=&#8221;left&#8221; content_max_width=&#8221;640px&#8221; _builder_version=&#8221;4.27.5&#8243; custom_margin=&#8221;||5px||false|false&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>You will learn criteria and procedures for evaluating the quality, robustness and security of agentic systems.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb use_icon=&#8221;on&#8221; font_icon=&#8221;&#x45;||divi||400&#8243; icon_color=&#8221;#fa870d&#8221; icon_placement=&#8221;left&#8221; content_max_width=&#8221;640px&#8221; _builder_version=&#8221;4.27.5&#8243; custom_padding=&#8221;0px||0px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>You will learn how to prepare agentic systems for productive environments, with a focus on observability, scaling and secure operation.<\/p>\n<p>[\/et_pb_blurb][et_pb_text module_id=&#8221;Termine_CPSA-F_DE&#8221; _builder_version=&#8221;4.27.4&#8243; text_font=&#8221;|600|||||||&#8221; text_text_color=&#8221;#fa870d&#8221; text_font_size=&#8221;29px&#8221; header_font=&#8221;|600|||||||&#8221; header_text_color=&#8221;#fa870d&#8221; header_2_font=&#8221;|600|||||||&#8221; header_2_text_color=&#8221;#fa870d&#8221; custom_margin=&#8221;||5px||false|false&#8221; custom_padding=&#8221;||||false|true&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Training content in detail<\/p>\n<p>[\/et_pb_text][et_pb_blurb title=&#8221;From Model to Agent System&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#xe03c;||divi||400&#8243; icon_color=&#8221;#fa870d&#8221; icon_placement=&#8221;left&#8221; content_max_width=&#8221;640px&#8221; _builder_version=&#8221;4.27.5&#8243; header_level=&#8221;h3&#8243; header_text_color=&#8221;#FA870D&#8221; header_font_size=&#8221;18px&#8221; header_line_height=&#8221;2em&#8221; custom_margin=&#8221;20px||||false|false&#8221; custom_padding=&#8221;||0px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>\u27a4 Classification of what characterizes agent-based AI systems and why this changes architectural decisions.<br \/>\u27a4 Overview of the key building blocks that interact within agent-based systems.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Context, memory and state under control&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#xe03c;||divi||400&#8243; icon_color=&#8221;#fa870d&#8221; icon_placement=&#8221;left&#8221; content_max_width=&#8221;640px&#8221; _builder_version=&#8221;4.27.5&#8243; header_level=&#8221;h3&#8243; header_text_color=&#8221;#FA870D&#8221; header_font_size=&#8221;18px&#8221; header_line_height=&#8221;2em&#8221; custom_margin=&#8221;0px||||false|false&#8221; custom_padding=&#8221;||0px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>\u27a4 The role of context, memory, and state in ensuring reliable behavior, and common pitfalls to watch out for.<br \/>\u27a4 Approaches for managing context so that systems remain stable under real-world conditions.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Tool connection and collaboration in agent landscapes&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#xe03c;||divi||400&#8243; icon_color=&#8221;#fa870d&#8221; icon_placement=&#8221;left&#8221; content_max_width=&#8221;640px&#8221; _builder_version=&#8221;4.27.5&#8243; header_level=&#8221;h3&#8243; header_text_color=&#8221;#FA870D&#8221; header_font_size=&#8221;18px&#8221; header_line_height=&#8221;2em&#8221; custom_margin=&#8221;0px||||false|false&#8221; custom_padding=&#8221;||0px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>\u27a4The role of context, memory and state in reliable behaviour, and where typical pitfalls lie.<br \/>\u27a4Approaches to handling context so that systems remain stable under real-world operating conditions.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Making quality visible&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#xe03c;||divi||400&#8243; icon_color=&#8221;#fa870d&#8221; icon_placement=&#8221;left&#8221; content_max_width=&#8221;640px&#8221; _builder_version=&#8221;4.27.5&#8243; header_level=&#8221;h3&#8243; header_text_color=&#8221;#FA870D&#8221; header_font_size=&#8221;18px&#8221; header_line_height=&#8221;2em&#8221; custom_margin=&#8221;0px||||false|false&#8221; custom_padding=&#8221;||0px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>\u27a4How agents use tools and why interoperability should be built into the design from an early stage.<br \/>\u27a4 MCP and multi-agent systems as guiding concepts for standardized collaboration and extensibility.<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Ready for Production&#8221; use_icon=&#8221;on&#8221; font_icon=&#8221;&#xe03c;||divi||400&#8243; icon_color=&#8221;#fa870d&#8221; icon_placement=&#8221;left&#8221; content_max_width=&#8221;640px&#8221; _builder_version=&#8221;4.27.5&#8243; header_level=&#8221;h3&#8243; header_text_color=&#8221;#FA870D&#8221; header_font_size=&#8221;18px&#8221; header_line_height=&#8221;2em&#8221; custom_margin=&#8221;0px||||false|false&#8221; custom_padding=&#8221;||0px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>\u27a4 How quality can be meaningfully conceptualized and evaluated in non-deterministic systems.<br \/>\u27a4 Observability as a foundation for making system behavior traceable in operation.<\/p>\n<p>[\/et_pb_blurb][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text module_id=&#8221;Ai_Agents_termine&#8221; _builder_version=&#8221;4.27.6&#8243; text_font=&#8221;|600|||||||&#8221; 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Exercises are conducted using cloud- and web-based tools such as Miro, Draw.io, and platforms like Jupyter or HuggingFace. A stable and sufficiently fast internet connection is required.<\/p>\n<p>[\/et_pb_text][et_pb_heading title=&#8221;Live-Online-Training&#8221; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; title_text_color=&#8221;#FA870D&#8221; title_font_size=&#8221;27px&#8221; custom_margin=&#8221;||5px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_heading][et_pb_blurb use_icon=&#8221;on&#8221; font_icon=&#8221;&#x45;||divi||400&#8243; icon_color=&#8221;#fa870d&#8221; icon_placement=&#8221;left&#8221; content_max_width=&#8221;640px&#8221; _builder_version=&#8221;4.27.4&#8243; custom_padding=&#8221;0px||0px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Includes training materials and exercise resources<\/p>\n<p>[\/et_pb_blurb][et_pb_blurb use_icon=&#8221;on&#8221; font_icon=&#8221;&#x45;||divi||400&#8243; icon_color=&#8221;#fa870d&#8221; icon_placement=&#8221;left&#8221; content_max_width=&#8221;640px&#8221; _builder_version=&#8221;4.27.4&#8243; 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global_colors_info=&#8221;{}&#8221;]<\/p>\n<blockquote>\n<p style=\"text-align: left;\"><em>&#8220;The training helped me understand the logic behind systems that independently break down tasks, coordinate tools, and maintain consistent results across multiple steps. I found the guidance on context, quality, and operations particularly valuable, as these are exactly the areas where real project questions arise.&#8221;<\/em><\/p>\n<p style=\"text-align: left;\"><strong>Participant from Cologne<\/strong><\/p>\n<\/blockquote>\n<p>[\/et_pb_blurb][et_pb_image src=&#8221;https:\/\/www.itech-progress.com\/wp-content\/uploads\/2022\/01\/cyber-security-16.png&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.27.4&#8243; custom_margin=&#8221;|||72px&#8221; custom_margin_tablet=&#8221;&#8221; custom_margin_phone=&#8221;&#8221; custom_margin_last_edited=&#8221;on|phone&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; fullwidth=&#8221;on&#8221; _builder_version=&#8221;4.27.5&#8243; animation_style=&#8221;fade&#8221; saved_tabs=&#8221;all&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_fullwidth_header title=&#8221;Would you like customized in-house training?&#8221; button_one_text=&#8221;Inquire Now&#8221; button_one_url=&#8221;https:\/\/www.itech-progress.com\/portfolio-item\/inhouse-trainings\/&#8221; button_two_text=&#8221;+49 621 595702 41&#8243; button_two_url=&#8221;tel:+4962159570241&#8243; background_overlay_color=&#8221;rgba(0,63,134,0.7)&#8221; _builder_version=&#8221;4.27.5&#8243; title_font=&#8221;|600|||||||&#8221; title_font_size=&#8221;33px&#8221; content_line_height=&#8221;1.5em&#8221; background_image=&#8221;https:\/\/www.itech-progress.com\/wp-content\/uploads\/2020\/03\/Inhouse_Schulung-1-scaled.jpg&#8221; parallax=&#8221;on&#8221; custom_button_one=&#8221;on&#8221; button_one_text_color=&#8221;#ffffff&#8221; button_one_bg_color=&#8221;#fa870d&#8221; button_one_border_width=&#8221;0px&#8221; button_one_font=&#8221;|600|||||||&#8221; button_one_icon=&#8221;&#x68;||divi||400&#8243; button_one_icon_color=&#8221;#ffffff&#8221; button_one_icon_placement=&#8221;left&#8221; button_one_on_hover=&#8221;off&#8221; button_one_custom_margin=&#8221;35px||||false|false&#8221; button_one_custom_padding=&#8221;|20px||40px|false|false&#8221; custom_button_two=&#8221;on&#8221; button_two_bg_color=&#8221;#fa870d&#8221; button_two_border_width=&#8221;0px&#8221; button_two_font=&#8221;|600|||||||&#8221; button_two_icon=&#8221;&#xe090;||divi||400&#8243; button_two_icon_color=&#8221;#ffffff&#8221; button_two_icon_placement=&#8221;left&#8221; button_two_on_hover=&#8221;off&#8221; button_two_custom_padding=&#8221;|20px||40px|false|false&#8221; custom_margin=&#8221;0px||||false|false&#8221; custom_padding=&#8221;120px||130px||false|false&#8221; link_option_url_new_window=&#8221;on&#8221; title_font_size_tablet=&#8221;&#8221; title_font_size_phone=&#8221;&#8221; title_font_size_last_edited=&#8221;on|desktop&#8221; button_one_bg_color_last_edited=&#8221;off|desktop&#8221; global_colors_info=&#8221;{}&#8221; button_one_bg_color__hover_enabled=&#8221;on|hover&#8221; button_one_bg_color__hover=&#8221;#86cbed&#8221; button_one_bg_enable_color__hover=&#8221;on&#8221;]<\/p>\n<div class=\"et_pb_header_content_wrapper\">\n<p>Do you have an entire team you would like to train, but none of our courses meet your requirements? 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