• Application closes on

    28 Jul, 2026
  • Program Duration

    12 weeks (8-10hrs / Week)
  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    Virginia Tech Impact

    Earn a joint Virginia Tech – Simplilearn digital badge with a downloadable certificate

    Earn a joint Virginia Tech – Simplilearn digital badge with a downloadable certificate

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    End to-End AI Expertise

    Master Generative AI and Agentic AI, learn to design and deploy production ready AI systems

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    Learn In Demand Tools

    Gain exposure to tools and frameworks such as OpenAI, n8n, LangGraph, FAISS, Cursor AI, and more

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    Job-Ready Projects

    Complete 12+ portfolio projects to develop job-ready Generative AI and Agentic AI skills

Corporate Training

Enroll your employees into this program, NOW!

Program Overview

Today, professionals need practical skills, not just theory, to stay competitive in AI. This course builds the practical skills to architect, deploy, and govern intelligent systems end-to-end. Reinforce concepts through hands-on labs, portfolio projects, and demos designed to build AI skills for solving real-world business problems.

Key Features

  • Design and ship systems that work in production, by mastering deployment and scaling for real enterprise use cases
  • Prepare for most in-demand roles such as AI Engineer, GenAI Engineer, Agentic AI Developer & Solutions Architect
  • Go beyond simple prompting and learn to build autonomous agents that reason, plan, and act on their own
  • Plug intelligent systems into the tools your business already runs on, from internal apps to live data sources
  • Drive transformation by architecting solutions that automate real workflows and solve real problems
  • Learn by doing, through portfolio projects that put governance and responsible AI into practice
  • Simplilearn Career Service helps you get noticed by top hiring companies

Program Advantage

Master the combined power of GenAI and Agentic AI, spanning model applications, autonomous agents, workflow orchestration, and production deployment. This program prepares learners to build and lead AI-native solutions end-to-end.

  • Digital Badge

    Virginia Tech Impact

    • Joint Virginia Tech Simplilearn digital badge with downloadable certificate
    • Virginia Tech Continuing and Professional Education alumni membership on LinkedIn
  • 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

Build expertise in GenAI and Agentic AI through experiential learning across LLMs, RAG, multi-agent systems, and AI deployment. Work with tools such as OpenAI, LangChain, CrewAI, and Azure AI while developing applications for business use cases.

Learning Path

    • Review the program roadmap, learning objectives, projects, and expected outcomes
    • Understand how GenAI and Agentic AI are transforming business workflows
       
    • Learn Python fundamentals, syntax, variables, and core programming concepts
    • Set up development environments and work with essential programming tools
    • Build a foundation for AI, automation, and data-driven application development
    • Understand core AI concepts, architectures, and intelligent systems
    • Differentiate between AI, Machine Learning, Deep Learning, and GenAI
    • Explore transformers, Large Language Models, and AI agents
       
    • Learn prompt engineering and Retrieval-Augmented Generation concepts
    • Explore LangChain, multimodal AI, image generation, and fine-tuning techniques
    • Build practical AI applications that connect LLMs with enterprise data
    • Understand MCP fundamentals, context management, and tool integration
    • Learn system prompt design, context persistence, and secure tool usage
    • Build and manage context-aware agents through practical exercises
    • Design intelligent agents using agentic RAG and memory strategies
    • Explore multi-agent collaboration and orchestration techniques
    • Build chatbots, coordinated agents, and workflow automation solutions
       
    • Learn principles for deploying, monitoring, and managing LLM applications
    • Explore model evaluation, operational best practices, and responsible AI
    • Understand how to manage scalable and reliable AI systems in production
       
    • Understand how large language models form the foundation of generative AI
    • Describe how Azure OpenAI Service provides access to the latest generative AI technology
    • Understand how generative AI applications, such as copilots, support efficiencies
    • Describe how prompts and responses can be fine-tuned
    • Describe how Microsoft's responsible AI principles drive ethical AI advancements
       
  • This course provides a comprehensive understanding of building AI agents using Azure AI Foundry Agent Service and the Microsoft Agent Framework. By the end of this course, you will be equipped with the expertise to design and deploy AI agents effectively on Azure.

    • Explore deployment strategies, hosting models, and production environments
    • Learn observability, monitoring, governance, and feedback systems
    • Build and manage full-stack AI applications at scale
    • Build an industry-aligned capstone using Generative AI, Agentic AI, LLMs, and RAG for a real-world use case.
    • Develop a portfolio-ready AI solution showcasing end-to-end AI development skills.

Electives:

    • Explore the latest advancements in Generative AI, Agentic AI & intelligent automation
    • Learn hands-on through live expert-led AI workshops on Claude Code, OpenClaw & more
    • Learn through expert-led technical and business workshops with real-world use cases
    • Build practical AI capabilities to drive productivity, innovation, and business impact
    • Participate in an exclusive masterclass led by Virginia Tech instructors
    • Explore advanced AI concepts, research trends, and emerging industry developments
       

20+ Skills Covered

  • Generative AI
  • Prompt Engineering
  • LLM Deployment
  • Multimodal AI
  • LLM Application Development
  • Retrieval Augmented Generation
  • LLM Operations
  • Multi Agent System Design
  • AI Agent Orchestration
  • Model Context Protocol
  • AI Workflow Automation
  • Agentic AI
  • Agent Memory Management
  • Agent Context Management
  • AI Agent Evaluation
  • AI Product Development
  • Production Ready AI Deployment
  • Enterprise AI Integrations
  • AI System Architecture
  • AI Governance

30+ Tools Covered

LSU_Claude_AIMS-AGI-SlackMS-AGI-n8nMS-AGI-MCPMS-AGI-MongoDBMS-AGI-LangChainMS-AGI-LangGraphMS-AGI-EmergentMS-AGI-FastMCPAzureMS-AGI-Github-CopilotMS-AGI-AsanaMS-AGI-CrewAIMS-AGI-ChatGPTMS-AGI-MetaGPTMS-AGI-Visual-Studio-CodeubuntuAG_OpenClawMS-AGI-AutoGenFSA_AIM_Tool_PyPDFAIM_Dall-ECal_Stable diffusionAIM_PythonFSA_AIM_Tool_GradioFSA_AIM_Tool_HuggingfaceNode.jsFaissRougeAIM_StreamlitFSA_AIM_Tool_Jupyter

Industry Projects

  • Project 1

    BankOps AI MultiAgent Banking Operations System

    Build a multi-agent system for banking that triages loan, KYC, card, and dispute requests, checks policy manuals and product rules, then routes sensitive cases to the right team.

  • Project 2

    AI Powered LinkedIn Content Automation with n8n

    Automate fintech LinkedIn content by pairing an AutoGen-style microservice with n8n, chaining ideation, drafting, and hashtag agents behind approval guardrails before posting.

  • Project 3

    MultiAgent Workflow Planner for a Startup Accelerator

    Design a multi-agent planner where a Research Agent, Funding Advisor, and Pitch Coach collaborate through coordinated planning, memory, and feedback to draft pitch deck outlines.

  • Project 4

    Policy Pilot a Smart Insurance Assistant

    Build an insurance assistant that reads a claim form, invoice, or underwriting document with the user question, extracts key facts, and recommends the next action for policy staff.

  • Project 5

    Building an Agentic RAG Pipeline for Financial Report Analysis

    Develop a Financial Auditor Agent on an agentic RAG pipeline that ingests financial statements and reviews them for consistency, completeness, and audit readiness with citations.

  • Project 6

    Agentic Router Retriever System with PDF and Web Search Tools

    Build an agentic RAG system where a Router Agent classifies each query and a Retriever Agent picks PDF vector search or web search to return accurate, source-grounded answers.

  • Project 7

    Develop an AI Agent for Stock Market Intelligence StockGenie

    Build an AI financial assistant that monitors the latest market news, analyzes stock trends, and delivers a daily spotlight of stocks with evidence-backed investment insights.

  • Project 8

    Crafting an AI Powered HR Assistant

    Build a conversational HR assistant for Nestle that reads PDF policy handbooks, embeds them in a vector store, and answers employee queries using OpenAI GPT through a Gradio UI.

  • Project 9

    Calorie tracker app with health insights

    Build an AI-powered calorie tracker that logs meals, estimates nutrition from user input, and turns daily intake into personalized health insights, goals, habit recommendations.

  • Project 10

    Creating Designs by Leveraging OpenAI and Gradio UI

    Build a text-to-image design platform pairing OpenAI DALL-E with a Gradio UI, turning marketing prompts into ready-to-use banners and posters for high-profile brand campaigns.

  • Project 11

    Analyzing Customer Orders Using Python

    Analyze e-commerce orders with core Python: use lists, tuples, dictionaries, sets, loops, and conditionals to classify products and surface high-value customer buying patterns.

  • Project 12

    Building a Python Adventure Game with GitHub Copilot

    Build a text-based adventure game in Python with GitHub Copilot, letting players explore, choose, and finish a quest while applying variables, loops, conditionals, and functions.

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

  • Douglas Daly

    Douglas Daly

    Principal Data Scientist & ML Engineer

    Douglas Daly is a Principal AI Architect specializing in Generative AI, AI platforms, tool-calling systems, and observability. He builds production-ready AI solutions that transform complex data into measurable business value.

  • 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.

  • 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.

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Program Trainers

  • Timothy Henize

    Timothy Henize

    18+ years of experience

    AI & Machine Learning Engineer

  • Bassel Dakhlallah

    Bassel Dakhlallah

    13+ years of experience

    Data Analytics & Engineering Leader

  • Richard Everts

    Richard Everts

    15+ years of experience

    Lead AI Researcher

  • 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 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

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.

  • The class consists of learners from excellent organizations and diverse industries
    Sector
    Information Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%
    Companies
    Meta
    Microsoft
    Google
    LinkedIn
    OpenAI
    Deloitte
    Bosch
    BCG
    Nvidia
    Netflix
    Citigroup

Learner Reviews

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 Generative AI & Agentic AI Specialization, candidates should:

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

Admission Fee & Financing

The admission fee for this program is $3,390

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

$3,390

10% off

$3,779

Pay In Installments, as low as

$339/month

Apply Now

Program Benefits

  • Complete 70+ hours of GenAI and Agentic AI learning
  • Master RAG, MCP, agent orchestration, and automation
  • Prepare for AI engineering, architecture, and product roles
  • Earn a Virginia Tech Simplilearn badge and certificate
  • Build AI solutions that drive business outcomes

Program Cohorts

Next Cohort

Got Questions Regarding Cohort Dates?

FAQs

  • What is the Applied Generative AI and Agentic AI Program?

    It's a 12-week specialization delivered by Simplilearn in partnership with Virginia Tech. Across 70+ learning hours, you move from generative AI fundamentals to designing autonomous, agentic systems. You get hands-on with 30+ tools and frameworks, 50+ demos, and 12+ portfolio projects. By the end, you can build, deploy, and govern AI-native solutions that create real business impact.

  • Who should enroll in this program?

    If you want practical, job-ready AI skills, this program fits. It's built for software engineers, application developers, AI engineers, data professionals, AI architects, and curious professionals ready to grow into AI-focused roles. Whether you're building your first LLM application or moving into agentic systems, you'll find a learning path that matches your starting point.

  • Do I need a technical background to succeed in this program?

    A basic understanding of programming concepts and mathematics is all you need to start. If coding is new to you, an optional Python bridge module walks you through the fundamentals before the advanced material begins, so you build on solid footing. Prior work experience helps, but it isn't mandatory.

  • Does the program include a capstone project? What does it involve?

    Yes. The program closes with a comprehensive, industry-aligned capstone that pulls key concepts from across the curriculum into a portfolio-ready deliverable. Along the way, you build a wider portfolio through 12+ hands-on projects.

  • Does the program cover multimodal AI and other emerging AI capabilities?

    Yes, you'll work with multimodal tools like DALL·E, Stable Diffusion, and Diffusers to generate and shape images alongside text. Beyond that, you'll explore context-driven RAG, the Model Context Protocol, multi-agent orchestration, and tool-integrated systems, so your skills track where the field is heading.

  • How does the program address AI governance and responsible AI practices?

    Responsible AI runs throughout the curriculum rather than sitting in a single lesson. You'll study governance frameworks, risk management, secure tool use, and ethical deployment as you build. A dedicated module on shipping production-ready AI products responsibly covers observability, monitoring, and feedback systems, and you'll apply Microsoft's responsible AI principles in hands-on Azure labs.

  • What level of time commitment is required to complete the program?

    You can plan for roughly 7 to 9 hours per week across the 12 weeks. The schedule is built to fit around a full-time job, so you keep making progress without pausing your career.

  • Can I switch to a different cohort after enrolling in the program?

    Yes. You're eligible for one complimentary cohort change within the first 60 days of your enrollment. If you can't continue in your current cohort and have already used your complimentary change, you can request an additional cohort transfer by paying the applicable fee. For details on the process and support with your request, reach out to the support team.

  • Can I receive an extension if I need more time to complete the program?

    Yes. If your program access has expired and you still have pending assignments or projects, you can request an extension of either 30 days or 3 months by paying a nominal fee. During that time, you can access recorded sessions from the current cohort and finish your remaining learning requirements.

  • How do learner reviews help me?

    Learner reviews give you a broader view of the learning experience of the programs at Simplilearn, including feedback on live classes, instructors, hands-on projects, support, and career-focused outcomes. They help you understand what learners value most across their learning journeys.

Recommended Learning Materials for Upskilling

Explore free webinars, tutorials, career guides, and practical reads to go deeper

  • 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.