Agentic AI with Azure: Architecting Enterprise AI-Agent Solutions
Certification Covered
AB 100, AB 900 (Microsoft Certification)
Stack
Program Includes:
Description
This advanced course equips technical teams to design, implement, and operate production-grade AI agent solutions on Azure. Participants learn to leverage Microsoft’s agent ecosystem (Azure AI Foundry, Microsoft Agent Framework, Microsoft 365 Agents SDK, and Copilot Studio) to build scalable, secure, and orchestrated multi-agent systems aligned with enterprise architecture standards. Emphasis is placed on production-readiness, governance, and observability, enabling integration with Microsoft 365, Dynamics, and Copilot environments. The curriculum follows Microsoft’s AB-100 framework for agentic business solutions, covering agent-first design, multi-agent orchestration, open protocols (A2A, MCP), responsible AI, and enterprise DevOps practices.
Course Outcomes
- Working knowledge of Python programming, including functions, classes, and basic asynchronous concepts
- Understanding of REST APIs and interaction with external services
- Familiarity with cloud computing concepts, preferably Microsoft Azure (subscriptions, resources, identity concepts)
- Basic understanding of Large Language Models (LLMs) and prompt usage (no fine-tuning experience required)
Prerequisites
- Strong proficiency in software development (preferably in Python) and familiarity with Azure cloud services.
- Fundamental knowledge of machine learning and LLM concepts, including prompt engineering and vector search.
- Experience with REST APIs and cloud-based data services (Azure Cognitive Search, Azure Functions, etc.).
- Understanding of DevOps principles and version control (Git).
Course Content
1Foundations of Agentic AI2 Sections
1.1 — Introduction to Agentic AI and Workflows
1.1 — Introduction to Agentic AI and Workflows
1.2 — Agent Development with LangChain & LangGraph
1.2 — Agent Development with LangChain & LangGraph
2Microsoft Agent Stack3 Sections
2.1 — Microsoft Agent Framework & Azure AI Foundry
2.1 — Microsoft Agent Framework & Azure AI Foundry
2.2 — Building Agents with Foundry SDK and Agent Service
2.2 — Building Agents with Foundry SDK and Agent Service
2.3 — Multi-Agent Orchestration (Magentic Framework)
2.3 — Multi-Agent Orchestration (Magentic Framework)
3RAG and Agent Communication3 Sections
3.1 — Retrieval-Augmented Generation (RAG) for Agentic AI
3.1 — Retrieval-Augmented Generation (RAG) for Agentic AI
3.2 — Model Context Protocol (MCP) and Agent Tooling
3.2 — Model Context Protocol (MCP) and Agent Tooling
3.3 — Agent-to-Agent Communication (A2A) and Protocols
3.3 — Agent-to-Agent Communication (A2A) and Protocols
4Microsoft 365 Agent SDK & Copilot Studio3 Sections
4.1 — Microsoft 365 Agents SDK and Toolkit
4.1 — Microsoft 365 Agents SDK and Toolkit
4.2 — Designing Agent Flows and Microsoft 365 Integrations
4.2 — Designing Agent Flows and Microsoft 365 Integrations
4.3 — Publishing and Managing Copilot Studio Agents
4.3 — Publishing and Managing Copilot Studio Agents
5Security, Governance & AgentOps4 Sections
5.1 — Agent Security and Identity Management
5.1 — Agent Security and Identity Management
5.2 — Governance and Compliance in Agentic AI
5.2 — Governance and Compliance in Agentic AI
5.3 — CI/CD and DevSecOps for Agent Systems
5.3 — CI/CD and DevSecOps for Agent Systems
5.4 — Observability, Telemetry, and AgentOps Principles
5.4 — Observability, Telemetry, and AgentOps Principles
Overview of Capstone Projects
Enterprise Multi-Agent Knowledge Assistant on Azure
Enterprise Multi-Agent Knowledge Assistant on Azure
- Understand how multiple AI agents collaborate to solve complex business queries automatically.
- Learn how company documents can be converted into a searchable AI knowledge base.
- Identify how AI verifies information before responding to reduce wrong answers.
- Gain clarity on secure data handling and governance in enterprise AI solutions.
- Observe how monitoring dashboards help track AI performance and reliability.
Tech Stack
Microsoft 365 Copilot Integrated Autonomous Business Workflow Agent
Microsoft 365 Copilot Integrated Autonomous Business Workflow Agent
- Design an end-to-end agent architecture integrating Microsoft 365 Agents SDK, Copilot Studio, and Azure AI Foundry with secure identity flow.
- Implement multi-turn orchestration using Graph API actions (calendar, mail, Teams data) with structured tool-calling patterns.
- Apply MCP and A2A protocols to enable extensible agent tooling and cross-agent task delegation.
- Configure Azure Entra ID authentication, scoped permissions, and managed identity for secure Graph access.
- Build CI/CD pipelines to package and deploy agents into Teams/Copilot environments using infrastructure-as-code.
- Instrument telemetry using Application Insights and Azure Monitor to trace conversations, tool invocations, and latency metrics.
- Optimize prompt workflows, memory handling, and agent state management for production-grade enterprise automation.
Tech Stack
Career Opportunities
Learning Roadmap
Foundations of Agentic AI
2 Sections
Microsoft Agent Stack
3 Sections
RAG and Agent Communication
3 Sections
Microsoft 365 Agent SDK & Copilot Studio
3 Sections
Security, Governance & AgentOps
4 Sections
Certified GenAI Engineer
Goal Achieved
Weekdays (Mon-Fri)
Starting from 16th March
Duration: 1.5 Hours per day
Weekend (Sat & Sun)
Starting from 21st March
Duration: 4 Hours per day
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Meet Our Leaders
Program Director
Set the direction of the program and ensure it meets industry and academic excellence standards.
Aashish Pandey
Blue Data Consulting
Program Manager
Manages schedules, coordination, assessments, and ensures smooth course delivery.
Ragini Sankhwar
Blue Data Consulting
Industry Expert/Trainers
Apoorva
Blue Data Consulting
SME
Covers theory, hands-on labs, assessments, and daily assignments.
Amit Mishra
Blue Data Consulting
Master SME
Specialized guidance for Capstone Projects and advanced implementation.
Ahmed
Blue Data Consulting
Mentor
Dedicated support to help all learners pass the certification exam.
Transparent Pricing
Invest in your future with our flexible payment options and exclusive scholarship benefits
Application Fee
5% of Total Fee (Non-refundable)
Program Fee
Complete program access
(After Application Fee + 20% Discount)
*18% GST & Certification cost included
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Based on Program Fee (incl. GST)
Frequently Asked Questions
Why should you join this program?
This program is designed to provide industry-relevant, hands-on knowledge that bridges the gap between academic learning and real-world application. Unlike generic online courses, this training focuses on practical implementation, case studies, and live project exposure. You will gain structured guidance from experienced trainers, access to curated learning resources, and career-oriented skills that are aligned with current industry demands in AI, Data, and emerging technologies. Whether you are a student, working professional, or faculty member, this program will help you upgrade your technical capabilities and stay competitive in the evolving digital landscape.
What will you learn from this program?
In this program, you will learn core concepts along with practical implementation through hands-on sessions. The curriculum covers foundational knowledge, advanced tools, real-world use cases, and project-based learning. You will develop skills in problem-solving, practical tool usage, and industry best practices. By the end of the program, participants will be able to apply their knowledge to real scenarios, build projects, and confidently use the latest technologies in their academic or professional work.
Eligibility for this program?
There are no strict prerequisites for joining this program. However, a basic understanding of computers and interest in technology, AI, or data-related fields will be beneficial. Beginners, intermediate learners, and professionals looking to upskill can all enroll and successfully complete the training.
Who can join this program?
This program is suitable for:
- AI/ML Engineers and Data Scientists developing enterprise AI solutions.
- Cloud and Solution Architects designing Azure-based AI infrastructures.
- Software Engineers and DevOps professionals implementing agent workflows and CI/CD pipelines.
- Technology leads and technical consultants driving AI transformation and Copilot integrations.
- Anyone interested in upgrading their skills in emerging technologies.
What certificate will you get?
We Blue Academy will help you qualify following certification exam.
- AB 100
- AB 900
How will you get a certificate?
Upon completion of the examination, you will certification.
How will you moderate the certification exam?
The Blue Academy team will help you with a mock test and train you to qualify for the certificate examination.
How will this program benefit you?
This program will enhance your technical skills, improve your practical knowledge, and increase your career opportunities. You will gain hands-on experience, exposure to real-world use cases, and a strong understanding of industry tools and technologies. It will also help you build a strong portfolio, boost your confidence, and improve your employability in high-demand domains such as AI, Data Science, and emerging technologies.
How will we teach this program?
The program will be delivered through a blended learning approach that includes:
- Live instructor-led sessions
- Hands-on practical training
- Real-world case studies
- Labs and Capstone Projects
- Interactive discussions
- Assignments and project-based learning
Our expert trainers ensure concept clarity along with practical implementation for better understanding.
How is this program format different from other courses?
Unlike traditional theoretical courses, this program focuses on experiential learning and practical application. It includes live mentorship, real-world projects, interactive sessions, and industry-focused curriculum. Participants receive personalized guidance, structured learning pathways, and career-oriented insights that make this program more impactful and outcome-driven compared to self-paced or pre-recorded courses.
How to enrol in this course?
You can enroll in the program by:
- Visiting our official website
- Filling out the registration form
- Attend our demo and webinar
- Completing the registration process
- Receiving confirmation and onboarding details via email
Our team will guide you through the complete enrollment process after registration.
What is the duration of the program?
40 hours
How will the program be delivered?
The program will be delivered through live online instructor-led sessions and/or offline classroom training (depending on the selected mode). Participants will also get access to learning materials, recorded sessions (if applicable), and hands-on exercises for better learning outcomes.
How long will you have access to the learning material?
Participants will have access to the learning materials, session recordings (if provided), and resources for a limited period after the program completion. This allows learners to revise concepts, practice, and reinforce their understanding at their own pace.
What if you miss an online session?
If you miss a live session, you will be provided with session recordings (if available) and supporting learning materials. Additionally, you can reach out to the support team or trainer for clarification, ensuring you do not fall behind in the learning process.