• Application closes on

    14 Jun, 2026

  • Program Duration

    20 weeks (6-8 hrs / Week)

  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    Microsoft Advantage

    Earn program completion certificates from Microsoft and Simplilearn

    Earn program completion certificates from Microsoft and Simplilearn

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    Real-World Learning

    Apply your learning via demos, guided practices, Agentic AI frameworks, projects, and a capstone

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    Agentic AI Skills

    Develop expertise in agentic frameworks, multi-agent systems, RAG, MCP, planning systems, and more

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    Full-Stack GenAI Skills

    Master LLMs, RAG, prompt engineering, image generation, and responsible AI

Corporate Training

Enroll your employees into this program, NOW!

Program Overview

Master the strategic and technical skills to design, build, and lead Generative and Agentic AI systems. This practitioner-level program combines AI fundamentals, multi-agent orchestration, and hands-on application to enable end-to-end development and deployment of autonomous, business-ready AI solutions.

Key Features

  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Program completion certificates from Microsoft and Simplilearn.
  • Gain in-demand skills like LLM fine-tuning, prompt engineering, and AI governance
  • Develop expertise in agentic frameworks, multi-agent systems, RAG, MCP, planning systems, workflow automation, and more
  • Brush up on Python essentials and AI-ready workflows before diving into the core Agentic AI courses
  • RAG & LLM Application Building: Master LangChain, indexing, evaluation, & agents
  • Explore LLMs, agentic frameworks, MCP, multimodal Al & more
  • Work with tools and frameworks like LangChain, AutoGen, CrewAI, n8n, Lovable, Miro, Figma, LangSmith, Jupyter
  • Join live, online interactive classes with peer-to-peer engagement on Slack, mentoring sessions, and dedicated cohort support
  • Explore advancements in GenAI via live online masterclasses delivered by Microsoft experts.

Post Graduate Program Advantage

Gain hands-on expertise in OpenAI, Copilot Studio, RAG, prompt engineering, and agentic frameworks. Build skills in agent orchestration and multi-agent systems to design AI-driven products, with expert guidance and a joint completion certificate.

  • Applied AI Certificate

    Applied AI Certificate

    • Joint program completion certificate from Microsoft and Simplilearn
    • Individual course completion certificates from Simplilearn
    • Learn Copilot fundamentals and Retrieval Augmented Generation (RAG)
  • Agentic AI Certificate

    Agentic AI Certificate

    • Certificate of Completion from Microsoft and Simplilearn
    • Live masterclass led by Microsoft experts

Program Details

Build end-to-end expertise across AI foundations, Generative AI, LLM applications, and Agentic AI systems. Develop practical skills in agent design, planning frameworks, and MCP to create, deploy, and scale AI-powered products for modern, in-demand roles.

Learning Path

  • MS-ADAI: Program Induction

    Begin your journey with the Program, built to cover the core concepts shaping today’s generative AI and Agentic AI landscape. This program equips you with the knowledge and practical skills needed to advance your career and succeed in this evolving field.

  • MS-ADAI: AI Literacy
    • Foundations of Machine Learning and Generative AI.
    • Generative AI Algorithms: Neural Networks, GANs, and Transformers.
    • Large Language Models (LLMs) and Their Applications in Chatbots.
    • Image Generation Techniques: GANs, Diffusion Models, and VAEs.
    • Hands-On Practice with AI Tools: Chat GPT, Stable Diffusion, and more.
    • Explore Video Generation using Generative AI.
    • Prompt Engineering for Chatbots and AI-Driven Image Generation.
  • MS-ADAI: Models and Architecture
    • Introduction to Generative Models
    • Large Language Models Architecture
    • Variational Autoencoders (VAEs)
    • Generative Adversarial Networks (GANs)
    • Attention Mechanisms and Transformers
  • MS-ADAI: Building LLM Applications
    • Langchain and Workflow Design
    • Advanced Prompt Engineering Techniques
    • LLM Application Development
    • LangChain for LLM Development
    • RAG with LangChain
    • LLM Fine-Tuning and Customization
    • Benchmarking and Evaluation of LLM Capabilities
  • MS-ADAI: Image Generation Capabilities
    • Stable Diffusion
    • Denoising
    • Autoencoders in Generative AI
    • Contrastive Learning Techniques
    • Shared Embedding Spaces
  • MS-ADAI: Agentic AI Frameworks with Introduction to MCP
    • Introduction to Agentic AI and Core Attributes
    • LLM Agent Design: Perception, Cognitive Engine, and Action Modules
    • LangGraph: Node Structure, Routing Logic, and Orchestration Strategies
    • AutoGen: Multi-Agent Workflows, Custom Configurations, and Team Collaboration
    • CrewAI: Agent Groups, Tool Usage, Task Structuring, and Process Design
    • MCP Protocol: Unified Integration, Communication Standards, and SDK Frameworks
  • MS-ADAI: Advanced Agentic AI - Multi-Agent Ecosystems (I)
    • RAG, Agents, and Agentic RAG
    • Introduction to Multi-Agent Systems
    • CrewAI Role-Based Architecture and Agent Teams
    • Multi-Agent Communication Design Patterns
    • State Management and Orchestration with LangGraph
    • Google A2A Protocol
  • MS-ADAI: Advanced Agentic AI - Multi-Agent Ecosystems (II)
    • Microsoft AutoGen Overview
    • Agent-to-Agent Communication (A2A)
    • Project Demo: Code Debugger Agent
    • Introduction to n8n
    • Tool Integration in AI Agents and Agentic Workflows
    • Database and Vector DB Integration using n8n
    • Building Agentic and Agentic RAG Workflows
  • MS-ADAI: Advanced Agentic AI - Deep Dive in Model Context & Tooling Protocol
    • Tool-Context Pairing Fundamentals
    • Introduction to Model Context Protocol (MCP)
    • Setting Up an MCP-Compliant Tool (FastMCP)
    • System Prompt Architecture
    • Context Persistence Strategies
    • Risks in MCP Implementation
  • MS-ADAI: UX & Design for AI Products & Agents
    • Foundations of UX in AI Products
    • Designing for Transparency and Trust
    • Agentic Interaction Design Patterns
    • UX Failures and Guardrails
    • Wireframing and Prototyping
  • MS-ADAI: Development & Deployment Tools For AI Products
    • Hosting and Deploying Agents
    • Event Logging and Analytics
    • Feedback Loop Tools
    • Orchestrating Live Operations with n8n
    • Deployment Landscape Overview
  • MS-ADAI: LLM Operations

    Learn LLM operations with hand-on projects & live sessions

  • MS-ADAI: AI Governance
    • Importance of Governance in AI
    • Governance Challenges in Generative AI
    • Ethical Principles in AI
    • Governance Structures and Committees
    • Risk Management in AI Projects
    • Integrating Governance into the AI Project Lifecycle
    • Evolving Regulatory Landscape
    • Future Trends in AI Governance
  • MS-ADAI Capstone Project

    At the conclusion of the Program, consolidate your learning through a comprehensive, industry-aligned capstone project that integrates key concepts from across the curriculum into a portfolio-ready deliverable.

Electives:

  • MS-ADAI: Microsoft Azure AI Fundamentals - Generative AI

    This course on the Microsoft Learn portal provides a strong foundation in Generative AI concepts, techniques, and ethical considerations, equipping you to explore advanced topics and apply your knowledge in real-world scenarios.

  • MS-ADAI: Develop generative AI apps in Azure

    "This course prepares you to build AI solutions on Azure using Microsoft Foundry. You’ll plan and set up AI environments, select and deploy models from the model catalog, build apps with the Foundry SDK, use prompt flow, develop RAG solutions with your data, fine-tune models, apply responsible AI practices, and evaluate generative AI performance using Azure AI Studio tools.

  • MS-ADAI: Industry Masterclass

    Engage with an industry leader in an exclusive Masterclass that delves into advanced GenAI topics and emerging trends.

Contact Us

1-844-532-7688

(Toll Free)

15+ Skills Covered

  • LangChain
  • Prompt Engineering
  • RAG
  • Agentic Frameworks
  • MultiAgent Systems
  • Intelligent Automation
  • Ethics and Transparency
  • MCP
  • LLM Function Calling
  • AI Literacy
  • Stable Diffusion
  • Explainable AI
  • Stable Diffusion
  • Transformers and Attention Mechanism
  • LLM Benchmarking and Evaluation

42+ Tools Covered

MS-AGI-Visual-Studio-CodeMS-AGI-SlackMS-AGI-Postgre-SQLMS-AGI-PineconeMS-AGI-PhoenixMS-AGI-n8nMS-AGI-MongoDBMS-AGI-MiroMS-AGI-MetaGPTMS-AGI-MCPMS-AGI-LovableMS-AGI-LangSmithMS-AGI-LangGraphMS-AGI-LangChainMS-AGI-JupyterMS-AGI-Google-DocsMS-AGI-Google-ColabMS-AGI-GmailMS-AGI-Github-CopilotMS-AGI-GitHubMS-AGI-FigmaMS-AGI-FastMCPMS-AGI-EmergentMS-AGI-DockerMS-AGI-CrewAIMS-AGI-ChatGPTMS-AGI-AutoGPTMS-AGI-AutoGenMS-AGI-AsanaMicrosoft Copilot StudioMicrosoft CopilotAzure AI StudioChatGPTpythonStability AIOpen AIGradioChromaGeminiStreamlitDalle.2Hugging Face

An Immersive Learning Experience

Peer to Peer engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Mentoring session(s)

Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Peer to Peer engagement
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Flexi Learn
Mentoring session(s)
Learning Support

Program Advisors

  • Max Goff

    Max Goff

    GenAI Consultant

    Max is a seasoned data scientist and big data engineer with 30+  years of experience in ML, big data, and computer programming. Known for his expertise in GenAI, NLP, and process improvement, Max has consistently driven innovation and growth across organizations.

  • Vijay Rajandram, PhD

    Vijay Rajandram, PhD

    Founder, Data That Matters LLC

    Vijay Rajandram, PhD is a highly accomplished and strategic leader with extensive experience in transforming business models, driving business development, delivering digital transformations, and embedding data in business decisions.

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Career Support

Simplilearn Career Assistance

Simplilearn’s Career Services program, offered in partnership with Prentus, is a service that helps you to be career-ready for the workforce and land your dream job in the U.S. markets.
Access to workshops, networking tools, and community support

Access to workshops, networking tools, and community support

Stay on top of your job hunt with a smart tracker and job board

Stay on top of your job hunt with a smart tracker and job board

Build an ATS-friendly resume using the AI Resume Builder

Build an ATS-friendly resume using the AI Resume Builder

Practice anytime with the AI-powered Mock Interview Coach

Practice anytime with the AI-powered Mock Interview Coach

AI Industry Trends: Rise of Agents

Agentic AI is driving the next phase of adoption, shifting from isolated use cases to autonomous, multi-agent systems at scale. As GenAI investment grows, demand is rising for professionals who can design, build, and deploy end-to-end AI systems, not just use tools.

Job Icon$3.5T+

AI market opportunity by 2033

Source: Grand View Research
Job Icon$1.3T

Expected GenAI revenue

Source: Bloomberg
Job Icon42% CAGR

Growth in agentic AI systems

Source: Berkeley

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • Industry
    The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%
    Companies
    Facebook
    Apple
    Microsoft
    Netflix
    Amazon

Admission Details

Application Process

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.

STEP 1

Submit Application

Tell us a bit about yourself and why you want to do this program

STEP 2

Reserve Your Seat

An admission panel will shortlist candidates based on their application

STEP 3

Start Learning

Selected candidates can begin the program within 1-2 weeks

Eligibility Criteria

For admission to this Advanced AI program, candidates should:

Be at least 18 years old and have a high school diploma or equivalent
Have a fundamental understanding of programing concepts
Have 4+ years of professional experience, preferred, but not mandatory

Admission Fee & Financing

The admission fee for this program is $3,500

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Total Program Fee

$3,500

Pay In Installments, as low as

$350/month

You can pay monthly installments for Post Graduate Programs using Splitit or Klarna payment option with low APR and no hidden fees.

Apply Now

Program Benefits

  • Career Support through Simplilearn's Career Assistance
  • Expertise in multi-agent systems, RAG, MCP, & more
  • Real-world learning via demos & guided practices
  • Hands-on experience via course-end projects, & 1 capstone
  • Live, online interactive classes & masterclasses by experts

Program Cohorts

Next Cohort

Got Questions Regarding Cohort Dates?
  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.
  • *All trademarks are the property of their respective owners and their inclusion does not imply endorsement or affiliation.
  • Career Impact Results vary based on experience and numerous factors.