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Microsoft Agentic AI for Practitioners

Microsoft Agentic AI for Practitioners

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Application closes 18th Oct 2026

What's new in this online Agentic AI course?

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    Microsoft AI-103 certification preparation included

    Get ready for the Microsoft AI-103: Azure AI App & Agent Developer Associate certification with dedicated preparation modules, practice assessments, and exam guidance.

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    End-to-end Agentic system builds in every course

    Each course culminates in a complete, deployable solution, ensuring practical, hands-on experience and portfolio-ready projects at every stage.

Program Outcomes

Elevate your career in Agentic AI

Become an Agentic AI expert

  • Build and automate reliable LLM workflows with orchestration and validation.

  • Develop single and multi-agent systems with memory, tools, and evaluation.

  • Deploy, monitor, and govern production-grade Agentic AI systems on Azure.

  • Prepare for Microsoft AI-103 certification and deliver a portfolio-ready capstone.

Program Highlights

Why choose this program?

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    Learn from industry-leading faculty

    Gain insights from experienced faculty and practitioners with deep expertise in AI, machine learning, and big data ecosystems.

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    Hands-on Azure labs and projects

    Access Azure labs and work on real-world projects to build, deploy, and scale agentic AI systems in production environments.

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    Live mentored weekend sessions

    Participate in 15+ live weekend sessions with mentors to clarify doubts, discuss projects, and deepen your practical understanding.

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    Microsoft certification preparation

    Dedicated modules and resources to help you prepare for the Microsoft AI-103: Azure AI App & Agent Developer Associate certification.

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    End-to-end agentic system builds

    Every course ends with a deployable solution, ensuring you gain practical skills at each stage of the program.

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    Comprehensive coverage of AgentOps

    Master evaluation, observability, CI/CD, security, governance, and cost management for robust, enterprise-ready agentic AI systems.

Skills you will learn

Azure AI

LLM Workflows

Agentic Systems

CI/CD

Grounding Evaluation

AgentOps

Observability

Security

Governance

Compliance

Cost Management

Azure AI

LLM Workflows

Agentic Systems

CI/CD

Grounding Evaluation

AgentOps

Observability

Security

Governance

Compliance

Cost Management

view more

Secure top agentic ai jobs

  • 96%

    program satisfaction

  • 13M+

    students enrolled globally

  • 3 out of 4

    learners in AI roles

Careers in agentic ai

Here are the ideal job roles in agentic ai sought after by companies

  • AI Engineer

  • Agentic Systems Developer

  • Azure AI Specialist

  • Machine Learning Engineer

Our alumni work at top companies

  • Overview
  • Learning Path
  • Curriculum
  • Projects
  • Tools
  • Certificate
  • Faculty
  • Mentors
  • Career Support
  • Fees

Who is this program for?

The practitioner program has been crafted for users with the following objectives.

  • For Software and technology professionals

    For backend and full-stack developers looking to design, build, and deploy production-grade agentic AI systems on Azure at scale.

  • AI and data professionals

    For AI professionals ready to move beyond GenAI assistants to build reliable, grounded, and observable agentic systems on Azure with governance.

Experience a unique learning journey

  • Engage with your mentors

    Clarify your doubts and gain practical skills during the weekend mentorship sessions

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  • Work on hands-on projects

    Work on projects to apply the concepts & tools learnt in the module

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  • Get personalized assistance

    Our dedicated program managers will support you whenever you need

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  • Industry-ready curriculum

    Designed by Great Learning faculty and industry experts, this hands-on curriculum takes you from workflows to production-ready AI agents.

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Comprehensive curriculum

Designed by Great Learning faculty and industry experts, this curriculum builds hands-on skills in creating, deploying, and governing agentic AI on Azure. Focus on practical, deployable solutions with live mentorship and Azure labs to prepare for real-world production challenges and Microsoft AI-103 certification.

  • 22 weeks

    Program Duration

  • 15+

    Live Mentored sessions

  • 15+

    Hands-on Use Cases

  • 6

    Comprehensive Courses

Course 0: Pre-work (self-paced)

Get set up and refresh the essentials before the program begins.

Week 0: GenAI Foundations

Get comfortable with how large language models actually work - what they are good at, where they break, and how prompting, embeddings, and RAG fit together. By the end you can tell a simple workflow apart from a true "agent," so the rest of the program clicks from day one.

Week 0: Cloud Platform Foundations

Set up your Azure workspace from scratch, connect the SDKs, and make your very first grounded call to a model in code. No prior cloud experience is needed - you leave with a working environment and the confidence to build in it.

Course 1: Building & Automating Workflows

Build your first LLM-powered workflows from prompts, model calls and structured outputs, ground them in your own data, and automate them with tools, triggers, routing and human checkpoints.

Week 1: LLM App Building Blocks & Your First Workflow

Compose prompts, model calls, and structured outputs into a repeatable workflow.

Week 2: Grounding & Reliable Workflows

Ground a workflow in your data; add validation and error handling.

Week 3: Automating Workflows: Tools, Triggers & Orchestration

Function calling, multi-step automation with routing, and human checkpoints.

Course 2: From Workflows to Agents

Turn workflows into single agents with a reason-act loop, tools, retrieval and memory, then evaluate and monitor them, ending in a shippable single-agent system.

Week 4: From Workflow to Agent: Reason-Act Loop & Tools

Turn a workflow into a single agent - reason-act loop, tools, and function calling.

Week 5: Agent Grounding & Memory

Agent-driven retrieval plus short- and long-term memory, kept grounded and on-task.

Week 6: Evaluating & Monitoring a Single Agent

Build an eval set; instrument tracing and logging; close the feedback loop.

Week 7: Project 1: Single-Agent End-to-End System

Ship a grounded single-agent system with tools, memory, an eval, and tracing.

Week 8: Learning Break

Learning break - no new content this week.

Course 3: Orchestrating Multi-Agent Systems

Design multi-agent systems using supervisor/worker and planner/executor patterns, make agents interoperate via MCP and A2A, and optimise retrieval, memory and evaluation, ending in a shippable multi-agent system.

Week 9: Multi-Agent Orchestration Patterns

Supervisor/worker and planner/executor patterns; coordination, recovery, and termination.

Week 10: Interoperability: MCP & A2A

MCP servers/clients and A2A for cross-agent and cross-platform interoperability.

Week 11: Advanced Retrieval, Memory & Evaluation

Retrieval optimization, cost-aware long-term memory, and advanced offline/online evaluation.

Week 12: Project 2: Multi-Agent System

Ship an orchestrated multi-agent system with optimized retrieval, memory, and its own eval suite.

Course 4: Deploying, Scaling & Governing Agentic Systems

Take agentic systems to production with observability, CI/CD and safe release, security, governance, scaling, cost management and compliance readiness.

Week 13: Observability & AgentOps

End-to-end tracing, logging, dashboards, and audit trails.

Week 14: CI/CD, Versioning & Safe Release

Version prompts/tools/models; CI/CD pipeline; canary rollout and rollback.

Week 15: Learning Break

Learning break - no new content this week.

Week 16: Security, Governance, Scaling & Cost Management

Security, governance, scaling, and token-economics / cost management for agents at load.

Week 17: Compliance & Deployment Readiness

Data governance, compliance mapping, and a production-readiness / go-live review.

Course 5: Capstone

Scope, build and deploy an end-to-end agentic solution on a self-chosen problem, integrating workflow, single-agent and multi-agent components, and defend it with a live demo.

Week 18: Capstone Milestone 1 (Scope & Design)

Scope a self-chosen problem; define success metrics, target architecture, and an evaluation plan.

Week 19: Capstone Milestone 2 (Interim Build)

Build the working end-to-end system integrating workflow → single-agent → multi-agent.

Week 20: Capstone Milestone 3 (Final Build & Demo)

Deploy a secured, cost-tuned solution with its reference architecture; defend with a live demo.

Course 6: Certification Readiness

Prepare for the AI-103 certification by mapping Azure AI services and agentic patterns to the exam domains.

Weeks 21 & 22: Certification Prep (AI-103)

Consolidate Azure AI services & agentic patterns vs. exam domains; practice assessments, gap review, exam-booking path.

Note: The curriculum listed above are indicative and subject to updates as technology evolves.

Work on hands-on projects and case studies

Engage in hands-on projects and real-world case studies using Azure and leading AI tools.

  • 15+

    Hands-on Use Cases

  • 4

    Sample Projects

  • 22

    Weeks Duration

  • 6

    Courses

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Customer support / IT

Enterprise knowledge assistant

Description

Build a grounded single-agent assistant that answers questions from internal documentation, returns traceable citations, and escalates to a human when confidence is low.

Skills you will learn

  • Azure OpenAI
  • Azure AI Search
  • Memory
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Finance

Multi-agent financial research analyst

Description

Develop a planner/executor multi-agent system that gathers filings and market commentary, analyses them, and produces an investment brief with clear sourcing and confidence flags.

Skills you will learn

  • Multi-agent orchestration
  • MCP tools
  • Hybrid retrieval
  • LLM-as-judge
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Insurance

Claims triage & processing agent

Description

Create an agentic RAG system that parses claims, retrieves policies, reasons over rules, and recommends decisions with human-in-the-loop approval and a full audit trail.

Skills you will learn

  • Agentic RAG
  • Document Intelligence
  • Guardrails
  • Audit logging
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E-commerce

Customer operations multi-agent system

Description

Build a production multi-agent system that handles customer requests across tools, shipped through CI/CD with live observability and cost controls.

Skills you will learn

  • Multi-agent orchestration
  • CI/CD
  • App Service
  • Cost management

Note: The projects listed above are indicative and subject to updates to the curriculum.

Master in-demand Agentic AI tools

Gain hands-on experience with 10+ top agentic AI tools to optimize models and build innovative solutions

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    Python

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    LangChain

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    LlamaIndex

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    React

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    Azure ML Studio

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    Azure AI Studio

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    Azure AI Search

Note: The tools listed above are indicative and subject to updates as technology evolves.

Get program certificate from Great Learning

Earn a program certificate from Great Learning and prepare for the Microsoft AI-103 certification, enhancing your professional profile and career prospects.

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    Industry-recognized credential

    Showcase your expertise in agentic AI with a certificate valued by employers.

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    Microsoft certification preparation

    Prepare for the Microsoft AI-103: Azure AI App & Agent Developer Associate exam.

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    Portfolio-ready capstone

    Deliver a production-grade capstone project to demonstrate your skills.

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    Azure labs experience

    Gain hands-on experience with Azure tools and environments.

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* Image for illustration only. Certificate subject to change.

Who are the faculty for this program?

Learn from industry leaders and experts with deep experience in AI, machine learning, and cloud deployment.

  • Amish Suchak

    Amish Suchak

    Data Science Team Lead, XSOLIS

    Leads deep learning and GenAI solutions in healthcare, improving outcome predictions by up to 22%

    Former University of Florida researcher on NSF/NIH-funded AI projects

    Know More
    Company Logo
  • Dr. Pavankumar Gurazada

    Dr. Pavankumar Gurazada

    Senior Faculty, Academics, Great Learning

    15+ years of experience in marketing, digital marketing, and machine learning.

    Ph.D. from IIM Lucknow; MBA from IIM Bangalore; IIT Bombay graduate.

    Know More
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Who are the mentors for the live sessions?

Interact with experienced experts who will guide you in your learning & career journey

  • Marcelo Guarido de Andrade - Mentor

    Marcelo Guarido de Andrade linkin icon

    Research Assistant at University of Calgary University of Calgary
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  • Davood Wadi - Mentor

    Davood Wadi linkin icon

    AI Research Scientist intelChain
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  • Hassan Saidinejad - Mentor

    Hassan Saidinejad linkin icon

    Data Scientist Intact
    Intact Logo

Note: The mentors listed above are indicative and subject to change based on availability and scheduling.

Get industry ready with dedicated career support

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    1:1 career sessions

    Interact personally with industry professionals to get valuable insights and guidance

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    Interview preparation

    Get an insiders perspective to understand what recruiters are looking for.

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    Resume & profile review

    Get your resume and LinkedIn profile reviewed by our experts to highlight your agentic ai skills & projects

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    E-portfolio

    Build an industry-ready portfolio to showcase your mastery of skills and tools

What are the fees for the program?

The course fee is USD 78

Invest in your career

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    Build and deploy production-grade agentic AI systems on Azure.

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    Hands-on Azure labs and 15+ live mentored sessions.

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    Prepare for Microsoft AI-103 certification.

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    Portfolio-ready capstone project and industry-aligned curriculum.

Take the next step

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Application closes: 18th Oct 2026

Apply Now

Application closes: 18th Oct 2026

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Schedule a call

Application process

Admissions close once the required number of participants enroll. Apply early to secure your spot

  • steps icon

    Fill application form

    Submit your details and program interest online.

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    Screening and review

    Our team reviews your background and prerequisites.

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    Receive offer letter

    Qualified candidates receive an offer to join the program.

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    Join the program

    Complete payment and start your learning journey.

Course eligibility

  • Working knowledge of Python and foundational Generative AI concepts (LLMs, prompting).
  • No prior Azure or cloud experience required; all essentials are covered in the program.
  • STEM background or prior exposure to programming or quantitative/data subjects.

Limited seats available

Apply today and become an agentic AI expert

Apply Now

Microsoft Agentic AI for Practitioners

Download Brochure
Apply Now

phone icon Application closes 18th Oct 2026

Got more questions? Talk to us

Connect with our advisors and get your queries resolved

Speak with our expert +17372558690 or email to support.msftagenticai@mygreatlearning.com

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