{"id":30672,"date":"2026-08-07T09:49:48","date_gmt":"2026-08-07T09:49:48","guid":{"rendered":"https:\/\/www.cloudthat.com\/training\/?post_type=stm-courses&p=30672"},"modified":"2026-08-07T09:50:26","modified_gmt":"2026-08-07T09:50:26","slug":"gh-600-github-certified-agentic-ai-developer","status":"publish","type":"stm-courses","link":"https:\/\/www.cloudthat.com\/training\/ai-machine-learning-certification-course\/gh-600-github-certified-agentic-ai-developer","title":{"rendered":"GH-600: GitHub Certified: Agentic AI Developer"},"content":{"rendered":"

Developing in Agentic AI Systems (GH-600T00) is an intermediate-level course for developers, DevOps engineers, platform engineers, and technical product managers who\u00a0operate, integrate, supervise, and govern AI agents inside production-grade software development lifecycle (SDLC) workflows. It aligns with GitHub’s first agentic-AI certification (GitHub Certified: Agentic AI Developer, currently in beta).<\/span>\u00a0<\/span><\/p>\n

The course maps directly to the six official exam domains: Prepare Agent Architecture & SDLC Processes, Implement Tool Use & MCP Integration, Manage Memory, State & Execution, Perform Evaluation, Error Analysis & Tuning, Orchestrate Multi-Agent Coordination, and Implement Guardrails & Accountability.<\/span>\u00a0<\/span><\/p>\n

Emphasis is placed on operational judgment\u2014agent architecture, tool and MCP configuration, memory and state management, evaluation and tuning, multi-agent orchestration, and guardrails at production scale\u2014so learners can\u00a0operate\u00a0robust agentic systems on GitHub and pass the GH-600 exam.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Developing in Agentic AI Systems (GH-600T00) is an intermediate-level course for developers, DevOps engineers, platform engineers, and technical product managers who\u00a0operate, integrate, supervise, and govern AI agents inside production-grade software development lifecycle (SDLC) workflows. It aligns with GitHub’s first agentic-AI certification (GitHub Certified: Agentic AI Developer, currently in beta).\u00a0 The course maps directly to the […]<\/p>\n","protected":false},"author":7038,"featured_media":30676,"template":"","meta":{"footnotes":""},"stm_lms_course_taxonomy":[61],"metadata":{"stm_lms_product_id":["30673"],"_edit_lock":["1786097935:12"],"_edit_last":["12"],"permalink_customizer":["ai-machine-learning-certification-course\/gh-600-github-certified-agentic-ai-developer"],"permalink_customizer_regenerate_status":["1"],"_thumbnail_id":["30676"],"popular_course":["0"],"_popular_course":["field_64253688bc2e5"],"course_banner_image":[""],"_course_banner_image":["field_63c69a6b81cf1"],"mobile_banner_image":[""],"_mobile_banner_image":["field_63cf93896d207"],"banner_link":[""],"_banner_link":["field_63c69a9681cf2"],"hide_enroll_now":["0"],"_hide_enroll_now":["field_6a45fc1a64051"],"hide_course_dates":["0"],"_hide_course_dates":["field_6a4f85ffde416"],"banner_image":[""],"_banner_image":["field_621873548f922"],"banner_description":["Build, operate, and govern agentic AI systems inside GitHub-based software development workflows\u2014mastering agent architecture, tool use & MCP integration, memory & state management, evaluation & tuning, multi-agent orchestration, and guardrails."],"_banner_description":["field_612c733ed3564"],"overview_section_heading":["Course Overview: GH-600 GitHub Agentic AI Course"],"_overview_section_heading":["field_64538867ffdd0"],"after_completing_course_heading":["After Completing the GH-600 Agentic AI Developer course, students will be able to "],"_after_completing_course_heading":["field_645c78ade3f50"],"after_completing_course_0_desciption":["Integrate AI agents into the software development lifecycle (SDLC"],"_after_completing_course_0_desciption":["field_6103ad2f9f5b2"],"after_completing_course_1_desciption":["Define clear boundaries between agent planning, reasoning, and action "],"_after_completing_course_1_desciption":["field_6103ad2f9f5b2"],"after_completing_course_2_desciption":["Select, configure, and permission agent tools, including MCP servers"],"_after_completing_course_2_desciption":["field_6103ad2f9f5b2"],"after_completing_course_3_desciption":["Configure GitHub remote MCP servers, registries, and allow lists "],"_after_completing_course_3_desciption":["field_6103ad2f9f5b2"],"after_completing_course_4_desciption":["Integrate agents within development environments and CI workflows "],"_after_completing_course_4_desciption":["field_6103ad2f9f5b2"],"after_completing_course_5_desciption":["Implement agent memory strategies and manage state across tools and environments "],"_after_completing_course_5_desciption":["field_6103ad2f9f5b2"],"after_completing_course_6_desciption":["Define success criteria and evaluation signals for agent tasks "],"_after_completing_course_6_desciption":["field_6103ad2f9f5b2"],"after_completing_course_7_desciption":["Analyze agent failures and tune agent behavior based on evaluation results"],"_after_completing_course_7_desciption":["field_6103ad2f9f5b2"],"after_completing_course_8_desciption":["Orchestrate multi-agent workflows and detect\/resolve agent conflicts "],"_after_completing_course_8_desciption":["field_6103ad2f9f5b2"],"after_completing_course_9_desciption":["Implement guardrails, autonomy levels, and human-in-the-loop accountability \r\n\r\n "],"_after_completing_course_9_desciption":["field_6103ad2f9f5b2"],"after_completing_course":["10"],"_after_completing_course":["field_6103aae828228"],"key_features_heading":["Key Features: GitHub Certified: Agentic AI Developer \u2013 GH-600"],"_key_features_heading":["field_645388ceffdd1"],"key_features_0_lists":["Mapped 1:1 to the six official GH-600 exam domains<\/span><\/span>\u00a0<\/span>"],"_key_features_0_lists":["field_6103ad559f5b3"],"key_features_1_lists":["Scenario-based labs mirroring the exam's operational questions<\/span><\/span>\u00a0<\/span>"],"_key_features_1_lists":["field_6103ad559f5b3"],"key_features_2_lists":["Deep coverage of MCP, GitHub Copilot, and agentic orchestration<\/span><\/span>"],"_key_features_2_lists":["field_6103ad559f5b3"],"key_features_3_lists":["Guardrails, autonomy levels, and production-readiness patterns<\/span><\/span>\u00a0<\/span>"],"_key_features_3_lists":["field_6103ad559f5b3"],"key_features_4_lists":["Memory, state management, and context-drift mitigation<\/span><\/span>"],"_key_features_4_lists":["field_6103ad559f5b3"],"key_features_5_lists":["Includes domain-weighted practice questions and a mock exam<\/span><\/span>"],"_key_features_5_lists":["field_6103ad559f5b3"],"key_features_6_lists":["~70% hands-on with configuration and operations labs<\/span><\/span>"],"_key_features_6_lists":["field_6103ad559f5b3"],"key_features":["7"],"_key_features":["field_6103aaff28229"],"who_should_attend_heading":["Who should Attend GH-600 Exam ?"],"_who_should_attend_heading":["field_645388faffdd2"],"who_should_attend_0_attend_lists":["AI Engineers, Developers, and App Makers building agent-integrated workflows "],"_who_should_attend_0_attend_lists":["field_6103adfb3f3e4"],"who_should_attend_1_attend_lists":["DevOps Engineers and Solution Architects operating and designing agents in the SDLC "],"_who_should_attend_1_attend_lists":["field_6103adfb3f3e4"],"who_should_attend_2_attend_lists":["Data Engineers working with agent memory, state, and data-integration concerns "],"_who_should_attend_2_attend_lists":["field_6103adfb3f3e4"],"who_should_attend_3_attend_lists":["Platform Engineers, Security Engineers, and Technical Product Managers who collaborate on governing autonomous agent behavior"],"_who_should_attend_3_attend_lists":["field_6103adfb3f3e4"],"who_should_attend":["4"],"_who_should_attend":["field_6103ab0d2822a"],"prerequisites_heading":["Prerequisites of GH-600 Certifications "],"_prerequisites_heading":["field_64538a51ffdd3"],"prerequisites_text":["