• Admission Date

    Announcing Soon

  • Program Duration

    10 weeks (6-8hrs / Week)

  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    Virginia Tech Advantage

    Earn a joint Virginia Tech – Simplilearn completion certificate and a digital badge

    Earn a joint Virginia Tech – Simplilearn completion certificate and a digital badge

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    End-to-End Agentic AI Mastery

    Master LLMs, RAG, agentic AI, prompt engineering, multi-agent ecosystems, and MCP

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    Real-World Projects & Capstone

    Work on 7+ hands-on projects and a capstone to build real-world, portfolio-ready solutions

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    Access to In-Demand Tools

    Gain exposure to Copilot, LangChain, n8n, Hugging Face, CrewAI, GitHub, and more

Corporate Training

Enroll your employees into this program, NOW!

Program Overview

Build advanced capabilities in agentic AI and multi-agent system design. Explore LLM foundations, planning systems, RAG architectures, orchestration patterns, enterprise deployment, and AI product strategy to deliver scalable, autonomous solutions with measurable business impact at scale.

Key Features

  • Master agentic AI systems, planning frameworks, and multi-agent architectures in a structured 10-week practitioner program
  • Build strong foundations in LLM behavior, autonomous agents, and scalable system design
  • Strengthen Python fundamentals with an optional refresher focused on AI-ready workflows
  • Experience applied learning via 40+ demos, 10+ guided practices, 7+ real-world projects, and a capstone
  • Design and orchestrate multi-agent workflows for complex decision-making and automation
  • Develop expertise in RAG architectures and context-aware AI systems
  • Gain hands-on exposure to 25+ industry-relevant tools and frameworks
  • Learn enterprise deployment patterns, observability, and system performance evaluation
  • Participate in live, interactive online sessions led by industry experts
  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Attend an academic Masterclass led by Virginia Tech instructors
  • Secure a Virginia Tech Continuing Education alumni membership on LinkedIn
  • Earn a joint Virginia Tech - Simplilearn completion certificate and a Digital Badge

Post Graduate Program Advantage

Build end-to-end expertise in Agentic AI, spanning planning systems, multi-agent coordination, and enterprise deployment. Designed for tech and product leaders, this program blends technical depth with business strategy to lead AI-native products.

  • Digital Badge

    Digital Badge

    • Earn a joint Virginia Tech - Simplilearn certificate & a digital badge
    • Attend an academic Masterclass by Virginia Tech instructors
    • Receive a Virginia Tech Continuing Education alumni membership on LinkedIn
  • Microsoft Certificate

    Industry Certificate

    • Earn Microsoft certificate on MS Learn portal for MS branded courses
    • Get access to official Microsoft learning content

Program Details

Master building deployable multi-agent AI systems. Learn how planning frameworks, RAG architectures, and agent orchestration power scalable AI-native products, reinforced by guided practice and a comprehensive capstone.

Learning Path

  • VT_AGI: Program Induction

    Begin your learning journey with a comprehensive introduction to the program. This module outlines the curriculum structure, key learning goals, and expected outcomes, while also highlighting how artificial intelligence, generative AI, and agentic AI are reshaping industries.

  • VT_AGI: Python Refresher with AI (Optional)
    • Programming foundations and Python basics: syntax, structure, execution
    • Data structures: lists, tuples, dictionaries, sets
    • Functions and modular programming
    • File handling and error management
    • AI-powered code generation with GitHub Copilot and modern AI tools
    • Prompt writing, reviewing, refining, and optimizing AI-generated code
    • Debugging workflows and ethical considerations in AI-assisted development
  • VT_AGI: Foundations of AI & Agentic AI
    • Program & Class Introduction
    • Understanding AI Foundations
    • Rise of Transformers & LLMs
    • Introduction to Agentic AI
    • Key layers in Gen AI Stack
  • VT_AGI: Generative AI Tech Stack and Prompt Engineering
    • GenAI Tech Stack: Architecture and strategic importance
    • Infrastructure: Compute, inference, storage, monitoring, LLMOps
    • Model: Foundation models and customization
    • Orchestration: Agent frameworks, workflows, governance
    • Application: Interfaces and end-to-end GenAI solutions
  • VT_AGI: LLM Internals & Planning Systems
    • AI for PM Productivity: Personal efficiency & impact of AI on traditional product management
    • Prompt Engineering: Zero-shot, CoT, ReAct, and failure patterns
    • Agent Planning & Tooling: LangChain roles, memory, tools, function calling
    • Agent Communication: Production-ready A2A coordination
    • Applied Agent Projects: Study planner, sales trainer, and analytics agents
  • VT_AGI: 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
  • VT_AGI: 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
  • VT_AGI: 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
  • VT_AGI: Metrics, GTM & ROI
    • Defining Agent Metrics
    • Observability Tools
    • Pricing Models and Strategies
    • Agent Evaluation Frameworks
    • Business Strategy Exercise
  • VT_AGI: Agentic UX Design & Transparency
    • Foundations of UX in AI Products
    • Designing for Transparency and Trust
    • Agentic Interaction Design Patterns
    • UX Failures and Guardrails
    • Wireframing and Prototyping
  • VT_AGI: Dev Tools & Product Readiness
    • Hosting and Deploying Agents
    • Event Logging and Analytics
    • Feedback Loop Tools
    • Orchestrating Live Operations with n8n
    • Deployment Landscape Overview
  • VT_AGI: Develop AI Agents on Azure (Microsoft)
    • Build AI Agents on Microsoft Azure
    • Use Azure-Native AI Frameworks
    • Build Deployable AI Workflows
    • Integrate Security and Compliance
    • Orchestrate Enterprise AI Systems
    • Host and Manage Agents in Azure
  • VT_AGI: Capstone - Product Strategy Simulation

    Apply multi-agent system design and GTM strategy in a production-grade capstone. Build a four-agent market research and GTM workflow using n8n and CrewAI with MCP integration. The project includes Lean Canvas planning, pricing, and acquisition strategy, performance instrumentation, and chatbot deployment to simulate real AI product leadership.

Electives:
  • VT_AGI: Academic Masterclass

    Attend an interactive online masterclass led by Virginia Tech instructors and gain insights into emerging advancements in AI, GenAI, agentic AI, and their growing influence on technology, business, and industry transformation.

  • VT_AGI: Develop Generative AI Apps in Azure (Microsoft)

    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.

  • VT_AGI: Masterclass on Agentic AI Solutions Using Copilot Studio and AutoGen

    This masterclass offers exposure to designing and deploying agentic AI solutions using modern low-code and open-source frameworks. Delivered through a live session led by a Microsoft-certified trainer, the masterclass showcases how Copilot Studio and AutoGen can accelerate development and enable rapid deployment of agentic systems in real-world business environments.

Contact Us

1-844-532-7688

(Toll Free)

17+ Skills Covered

  • Agent Orchestration
  • Workflow Automation
  • Agentic Frameworks
  • Intelligent Automation
  • Agent Workflow Design
  • MultiAgent System Design
  • RAG Architecture
  • RAG Pipeline Design
  • Vector Databases
  • Tool Integration
  • Compliance amp Security
  • Enterprise Compliance
  • Observability Setup
  • ROI Evaluation
  • Agentic AI GTM Strategy
  • UIUX Agentic AI
  • Ethics and Transparency

30+ Tools Covered

MS-AGI-Visual-Studio-CodeMS-AGI-JupyterMS-AGI-Google-ColabMS-AGI-Github-CopilotMS-AGI-LovableMS-AGI-EmergentMS-AGI-ChatGPTMS-AGI-CrewAIMS-AGI-LangChainMS-AGI-LangGraphMS-AGI-AutoGPTMS-AGI-MetaGPTMS-AGI-AutoGenMS-AGI-n8nMS-AGI-DockerMS-AGI-PhoenixMS-AGI-LangSmithMS-AGI-Google-DocsMS-AGI-GmailMS-AGI-SlackMS-AGI-AsanaMS-AGI-Postgre-SQLMS-AGI-MongoDBMS-AGI-PineconeMS-AGI-FastMCPMS-AGI-GitHubMS-AGI-MiroMS-AGI-FigmaMS-AGI-MCPIITM_Hugging face

Industry Projects

  • Project 1

    Customer Order Insights with Python

    Analyze order datasets using Python structures to categorize products, detect buying trends, and generate actionable business insights.

  • Project 2

    Python Adventure Game with GitHub Copilot

    Build an interactive text-based Python game using variables, loops, conditionals, and AI-assisted coding with GitHub Copilot.

  • Project 3

    RAG Pipeline with PDF Retrieval

    Create a RAG pipeline by chunking PDFs, generating embeddings, and using vector search to retrieve accurate, context-aware responses.

  • Project 4

    Agentic RAG Router with Web ampamp PDF Search

    Develop router and retriever agents that direct queries to PDF or web search tools for grounded, source-backed outputs.

  • Project 5

    LinkedIn Automation with n8n Agents

    Build an automated LinkedIn workflow using n8n and agent logic to ideate, draft, review, and publish posts with governance controls.

  • Project 6

    Agentic UX Prototype for Financial Advisors

    Design a financial advisor AI that previews actions, explains reasoning, and allows user overrides to improve trust and transparency.

  • Project 7

    MultiAgent Workflow Planner for Startups

    Create a role-based agent system that collaborates to generate structured deliverables such as startup pitch deck outlines.

  • Project 8

    Capstone Product Strategy Simulation

    Build a production-grade market research and GTM system using n8n and CrewAI with MCP integration, including analytics and chatbot deployment.

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

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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

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 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

Industry Trends

Agentic AI is changing how organizations use artificial intelligence. Instead of only assisting with tasks, AI agents can now analyze information, take action, and support decision-making across complex workflows.

Job Icon66%

of companies using AI agents report measurable productivity gains

Source: PwC
Job Icon40%

of enterprise applications will embed task-specific AI agents by 2026

Source: Gartner
Job Icon78%

of organizations now use AI in at least one business function

Source: McKinsey

Batch Profile

This Agentic AI course caters to working professionals from a variety of industries and backgrounds; the diversity of our students enriches class discussions and interactions.

  • Industry
    The class consists of learners from excellent organizations and diverse industries
    Industry
    Software Product - 34%Information Technology - 26%Healthcare & Pharma - 11%Banking & Finance - 9%Manufacturing - 5%Others - 15%
    Companies
    Facebook
    Apple
    Netflix
    amazon
    IBM
    Nvidia
    BCG
    VT_Bosch
    KPMG
    Microsoft
    Deloitte
    LinkedIn

Admission Details

Application Process

The application process consists of three simple steps.

STEP 1

Submit Application

Briefly outline your education and professional experience

STEP 2

Reserve Your Seat

Complete your payment to reserve your admission

STEP 3

Start Learning

Candidates can begin the program as per the cohort date

Eligibility Criteria

For admission to this Applied Agentic AI program, candidates should:

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

Admission Fee & Financing

The admission fee for this program is $2,699

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

$2,699

Pay In Installments, as low as

$270/month

Apply Now

Program Benefits

  • Learn to build deployable multi-agent AI systems
  • Master RAG, planning & agent orchestration
  • Earn a joint Virginia Tech - Simplilearn digital badge
  • Get hands-on with 7 projects, 25+ tools & frameworks
  • Lead AI-native products with confidence

Program Cohorts

There are no cohorts available in your region currently

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.