Program FAQs

• What is included in this generative AI course?

  This Applied Generative AI Specialization program equips you with end-to-end GenAI expertise, combining foundational learning, advanced implementation, and industry-recognized credentials, including:

  • A joint Virginia Tech-Simplilearn Digital Badge and a Digital Certificate available for download
  • 7+ industry-ready projects and a portfolio-ready capstone
  • Core modules covering LLMs, RAG, Agentic AI, Model Context Protocol, and governance
  • Hands-on training across 13+ tools such as Python, LangChain, Azure AI Studio, Hugging Face
    
    

• How is this GenAI course different from other generative AI programs?

  This program is designed to go beyond surface-level generative AI training by focusing on how GenAI systems are actually built, deployed, and governed in real-world environments, including:

  • A structured progression from foundational AI concepts to advanced LLM applications
  • Strong emphasis on applied implementation through 7+ real-world projects and a portfolio-ready capstone
  • Coverage of generative AI governance, ethics, and enterprise adoption considerations
  • Microsoft learning content and a course completion certificate hosted on the Microsoft Learn portal for Microsoft courses

  The focus is not just on learning tools, but on developing practical, job-ready GenAI capabilities aligned with current industry needs.
  

• Is this a beginner-friendly generative AI training program?

  Yes, the program begins with foundational concepts such as AI literacy, neural networks, transformers, and prompt engineering, making it accessible to those new to generative AI. However, as it progresses to advanced topics such as LLM applications, RAG, and Agentic AI frameworks, a basic understanding of programming concepts and mathematics is recommended.
  

• How is this generative AI specialization structured?

  The program follows a structured progression from foundational AI concepts to advanced generative AI implementation. The structure includes:

  • Core courses covering AI foundations, LLM architecture, prompt engineering, RAG, agentic AI, image generation, and governance
  • Elective courses such as Microsoft Azure AI Fundamentals and Copilot Foundations
  • An academic masterclass delivered by Virginia Tech instructors
    
    

• What practical skills will I gain from this GenAI training?

  You will build practical, implementation-focused GenAI skills, including:

  • Prompt engineering techniques, including Chain of Thought prompting
  • Large Language Model (LLM) architecture and applications
  • Retrieval-Augmented Generation (RAG) design and integration
  • Agentic AI workflows and autonomous AI agents
  • LangChain-based GenAI application development
  • Model Context Protocol (MCP) implementation
  • LLM fine-tuning and customization
  • LLM benchmarking and evaluation
  • Generative AI governance and ethical implementation
    
    

• What tools and frameworks are covered in this generative AI program?

  The program provides hands-on exposure to widely used 13+ GenAI tools and frameworks that support real-world implementation, including:

  • Python
  • ChatGPT and OpenAI APIs
  • Hugging Face
  • Gemini
  • Microsoft Copilot
  • Azure AI Studio
  • DALL·E 2
  • LangChain
  • Gradio
  • Streamlit
  • Stability AI
  • Jupyter

  These tools are used across projects to help you design, build, and evaluate generative AI applications.
  

• What is the refund policy for this applied generative AI specialization program?

  Learners are encouraged to complete the program to gain the full benefits of the course. If you decide to withdraw before the start date, you may request a refund. However, once the program has begun, the fees become non-refundable.