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Overview

This course is designed to build practical skills in developing, deploying, and managing agentic AI systems within GitHub-based software development workflows. The course explores how to integrate AI agents into the software development lifecycle (SDLC), including designing agent architectures, configuring tools and environments, and managing agent memory, state, and execution. Students will learn how to evaluate and optimize agent performance, implement governance and guardrails, and coordinate multi-agent systems to ensure safe, reliable, and efficient outcomes. Through hands-on learning, participants will gain the skills needed to operate, supervise, and govern AI agents in production environments using GitHub as the control plane.
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What You'll Learn

  • Integrate AI agents into the software development lifecycle (SDLC) by defining agent tasks, inputs/outputs, and execution boundaries
  • Design and configure agent architectures that separate planning, reasoning, and execution to improve reliability and control
  • Implement tool use and environment interactions by configuring agent tools, permissions, and MCP servers within development environments
  • Design reliable multi-agent systems in GitHub using observable workflows, coordinated artifacts, and safe recovery mechanisms
  • Learn how to manage agent memory and state, persist progress across environments, and evaluate agent behavior using clear success signals
  • Develop secure and compliant agent governance using GitHub-native controls, human-in-the-loop approvals, and least-privilege access

 

Who Should Attend

Learners should have subject matter expertise in operating, integrating, supervising, and governing AI agents inside production-grade SDLC workflows and development environments, ensuring reliability, safety, and velocity using GitHub as the system of record and control plane. Learners work closely with architects, platform engineers, DevOps engineers, application developers, product managers, and security engineers to develop, deploy, operate, and manage agents that operate within the GitHub platform. Learners should have experience with the software development lifecycle (SDLC), workflows in GitHub and controls, and code quality, security, and review practices. You should also have experience with coding agents including GitHub Copilot, MCP servers and agent customization such as custom instructions, custom agents, tools, and Copilot setup Responsibilities for this role include:

  • Operating agent workflows inside the SDLC
  • Supervising autonomous behavior with GitHub controls
  • Evaluating and tuning agent outputs using scans and artifacts
  • Configuring custom agents
  • Coordinating multi-agent execution safely
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Prerequisites

  • A GitHub account
  • Basic understanding of AI fundamentals
  • Basic understanding of repositories, branches, and pull requests
  • General knowledge of CI and CD concepts

Learning Journey

Coming Soon...

Module 1: Foundations of Agentic AI in GitHub
Learn how AI coding agents are transforming software development by planning, acting, and improving within GitHub workflows.

Module 2: Designing Agent Architecture and SDLC Integration
Learn how agentic systems use GitHub workflows to build software safely.

Module 3: Tooling, MCP, and Agent Execution Environments

Learn how agents use tools, MCP, and GitHub workflows to execute tasks safely, with clear boundaries, security controls, and scalable automation.

Module 4: Multi-Agent Systems and Orchestration
Learn how to design reliable multi-agent systems in GitHub using observable workflows, coordinated artifacts, and safe recovery mechanisms.

Module 5: Memory, State, and Evaluation

Learn how to manage agent memory and state, persist progress across environments, and evaluate agent behavior using clear success signals.

Module 6: Governance, guardrails, and operations
This module covered how to design secure and compliant agent governance using GitHub-native controls, human-in-the-loop approvals, and least-privilege access. It also introduced operational safeguards to improve reliability, accountability, and recovery.

 

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Frequently Asked Questions (FAQs)

  • Why get Microsoft certified?

    Microsoft certifications validate your skills and expertise in Microsoft technologies and solutions, demonstrating your ability to design, implement, and manage cutting-edge technologies.

    These certifications are globally recognized and highly sought after by employers, as they signify your proficiency in using Microsoft products and services to drive innovation and solve business challenges.

    Microsoft-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.

  • What to expect for the examination?

    Microsoft certification exams are designed to assess your knowledge and skills in specific Microsoft technologies and solutions.

    Exams typically consist of multiple-choice, multiple-select, and case study questions, and some may include lab simulations to evaluate your practical skills.

    Note: Certification requirements and policies may be updated by Microsoft from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Microsoft certification valid for?

    Most Microsoft role-based and specialty certifications are valid for one year from the date of passing the exam.

    To maintain your certification, you will need to renew it annually by passing a free online assessment on Microsoft Learn.

    However, Microsoft Applied Skills credentials and Fundamentals certifications do not expire.

    Note: Certification requirements and policies may be updated by Microsoft from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 24 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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