• Application closes on

    3 Apr, 2026

  • Program Duration

    16 weeks (8-10hrs / Week)

  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    Virginia Tech Advantage

    Earn digital badge from Virginia Tech along with Continuing Education alumni membership on LinkedIn

    Earn digital badge from Virginia Tech along with Continuing Education alumni membership on LinkedIn

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    End-to-End GenAI Mastery

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

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    Real-World Projects

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

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    In-Demand GenAI Tools

    Gain exposure to Copilot, Langchain, Hugging Face, Azure AI Studio, OpenAI, and other tools

Corporate Training

Enroll your employees into this program, NOW!

Program Overview

Gain practical skills in applying generative AI, cover essential concepts such as GANs, VAEs, and prompt engineering alongside advanced topics like LLM app development, RAG, Agentic AI, and fine-tuning. This program builds a well-rounded understanding, preparing you to deploy generative AI capabilities in real-world applications.

Key Features

  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Earn a program completion certificate & digital badge from Virginia Tech and Simplilearn
  • Master GenAI and Agentic AI app development with 60+ exercises and 7+ industry-focused projects
  • Gain hands-on experience with tools like LangChain, Copilot, Azure AI Studio, RAG, ChatGPT, OpenAI, Dall-E 2, Hugging Face, and more
  • Get a badge from Microsoft for specific courses on the learn portal, included in the learning path
  • Gain in-demand skills like LLM fine-tuning, prompt engineering, and AI governance
  • Explore LLMs, agentic frameworks, MCP, multimodal AI & more
  • Apply best practices for AI transparency, fairness, security, and regulatory compliance
  • Implement advanced prompt engineering, RAG, and fine-tune models for domain-specific AI solutions

Post Graduate Program Advantage

Gain practical expertise with Azure OpenAI, Copilot Studio, and advanced agentic frameworks. Learn RAG, LLM design, prompt engineering, and multimodal GenAI while earning a digital badge from Virginia Tech and Simplilearn.

  • Digital Badge

    Virginia Tech Advantage

    • Earn a joint Virginia Tech – Simplilearn Digital Badge
    • Virginia Tech – Simplilearn Digital Certificate available for download
    • Attend academic Masterclass by Virginia Tech instructors
  • Microsoft Certificate

    Microsoft & Azure AI Advantage

    • Course completion certificate hosted on the Microsoft Learn portal
    • Access to official Microsoft learning content on MS Learn portal

Program Details

Master the essentials of Generative AI—from fundamentals to advanced LLM applications, Agentic AI, and MCP. Build real-world AI solutions with Microsoft Azure, Copilot, and a comprehensive capstone to sharpen your industry-ready skills.

Learning Path

  • VT-AGS: Program Induction

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

  • VT-AGS: 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: ChatGPT, Stable Diffusion, and more
    • Prompt Engineering for Chatbots and AI-Driven Image Generation
  • VT-AGS: Advanced Generative AI - Models and Architecture
    • Introduction to Generative Models
    • Large Language Models Architecture
    • Variational Autoencoders (VAEs)
    • Generative Adversarial Networks (GANs)
    • Attention Mechanisms and Transformers
  • VT-AGS: Advanced Generative AI - 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
  • VT-AGS: Agentic AI Frameworks with Model Context and Tooling Protocols
    • 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
  • VT-AGS: Advanced Generative AI - Image Generation Capabilities
    • Stable Diffusion
    • Denoising
    • Autoencoders in Generative AI
    • Contrastive Learning Techniques
    • Shared Embedding Spaces
  • VT-AGS: Generative 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
  • VT-AGS Capstone Project

    At the conclusion of the Applied Generative AI 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:
  • VT-AGS: Microsoft Azure AI Fundamentals - Generative AI
    • Understand how large language models form the foundation of generative AI
    • Explore how Azure OpenAI Service provides access to the latest generative AI technology
    • Understand how generative AI applications, such as Copilot, support efficiencies
    • Learn how prompts and responses can be fine-tuned
    • Explore how Microsoft's responsible AI principles drive ethical AI advancements
  • VT-AGS: Microsoft Copilot Foundations
    • Create copilots and work with the Microsoft Copilot Studio interface
    • Publish bots and analyze performance
    • What is Azure AI Studio?
    • Build a RAG-based copilot solution
    • Understand how to ground your language model
    • Build a copilot with prompt flow
  • VT-AGS: Academic Masterclass

    Engage with an esteemed Virginia Tech instructor in an exclusive Masterclass that delves into advanced GenAI topics and emerging trends.

Contact Us

1-844-532-7688

(Toll Free)

16+ Skills Covered

  • LangChain
  • Stable Diffusion
  • Prompt Engineering
  • Explainable AI
  • AI Literacy
  • Variational Autoencoders
  • Generative AI Fundamentals
  • Large Language Model Architecture
  • Transformers and Attention Mechanism
  • Agentic AI and Autonomous AI Agents
  • GenAI Application Development
  • Retrieval Augmented Generation
  • Model Context Protocol
  • LLM Benchmarking and Evaluation
  • LLM Fine Tuning and Customization
  • Generative AI Governance and Ethics

14+ Tools Covered

Microsoft CopilotAzure AI StudioChatGPTpythonLangchainHugging FaceDalle.2StreamlitGeminiChromaGradioOpen AIStability AIJUPYTER

Industry Projects

  • Project 1

    Personal Expense Tracker

    Develop a personal expense tracker with categorized expenses, monthly budgets, and file handling for data storage. A menu-driven interface enhances usability.

  • Project 2

    Task Manager with User Authentication

    Build a task manager with user authentication, including login and registration. Users can add, view, complete, and delete tasks with persistent storage via file handling.

  • Project 3

    AI Powered HR Assistant

    Create an Al-powered HR assistant using OpenAI's GPT and Gradio UI to extract answers from Nestlé's HR policy documents, streamlining HR information retrieval.

  • Project 4

    Al Driven Design Generator

    Develop a text-to-image generation platform for creating marketing visuals like banners and posters using OpenAl's DALL·E and Gradio UI.

  • Project 5

    Al Powered Business Intelligence Assistant

    Build Insight and Forge, an Al BI assistant using RAG and LLMs to analyze business data, spot trends, and generate insights with interactive visualizations for usability.

  • Project 6

    Develop an Image Generation App with LangChain

    Create an application that uses LangChain to connect OpenAI API to DALL-E. This image generation application turns written descriptions into lifelike pictures and artwork.

  • Project 7

    Finetune Falcon7b Personalized LLM Instance

    Embark on building a personalized language model with Falcon-7b. Utilize a personalized LLM technique to explore text generation capabilities by providing task examples as inputs.

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

Program Advisors and Trainers

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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Program Trainers

  • Timothy Henize

    Timothy Henize

    18+ years of experience

    AI & Machine Learning Engineer

  • Isaac Whittaker

    Isaac Whittaker

    9+ years of experience

    Sr Applied Research Scientist

  • Bassel Dakhlallah

    Bassel Dakhlallah

    13+ years of experience

    Data Analytics & Engineering Leader

  • Jaime Saldarriaga

    Jaime Saldarriaga

    9+ years of experience

    AI & Machine Learning Engineer

  • Sohail Hosseini

    Sohail Hosseini

    15+ years of experience

    DevOps Engineer

  • Edinson Medina

    Edinson Medina

    7+ years of experience

    Senior Data Scientist

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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 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

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
    Meta
    Microsoft
    Google
    LinkedIn
    OpenAI
    Deloitte
    KPMG
    Bosch
    BCG
    Nvidia
    Netflix

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 Applied Generative AI Specialization, candidates should:

Be at least 18 years old and have a high school diploma or equivalent
Have basic understanding of programming concepts and mathematics
Preferably have 2+ years of professional experience, but not mandatory

Admission Fee & Financing

The admission fee for this program is $2,995

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

$2,995

Pay In Installments, as low as

$300/month

Apply Now

Program Benefits

  • Most Advanced GenAI Tech Stack: RAG + Agentic AI + MCP
  • 50+ Hours of Live Classes, 16+ Hours of Self Learning
  • Virginia Tech Continuing Education alumni membership
  • Build Real World GenAI and Agentic AI Applications
  • Exposure to ChatGPT, OpenAI, DALL-E 2, Hugging Face & others

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.