Program FAQs

• How does applied generative AI differ from generative AI as an academic or research discipline?

  Academic and research programs focus on theory: model architectures, algorithms, and the math behind them. Applied generative AI is about building. In this program, you work with tools such as LangChain, RAG pipelines, and Azure OpenAI Service to create solutions that businesses actually use. You finish with working portfolio projects, not just concepts.
  

• Agentic AI and generative AI are often used together. What actually separates the two?

  Generative AI creates content. It writes text, generates images, and answers questions when prompted. Agentic AI goes further: it plans, makes decisions, uses tools, and carries out multi-step tasks with minimal supervision. Think of generative AI as the engine and agentic AI as the driver. This program teaches you both, from building with large language models to orchestrating autonomous multi-agent workflows.
  

• Is coding experience required before enrolling in this generative AI training?

  You should have a basic understanding of programming concepts and mathematics. If you're new to programming or have very little experience, the Python bridge module gets you up to speed before the core AI modules begin.
  

• What is the total fee for the Applied Generative AI and Agentic AI Specialization course?

  The total fee is $ 2,679. An admissions counselor can also walk you through financing options and aid, if applicable.

• If I withdraw after enrolling, is any portion of the program fee refundable?

  If you decide to withdraw before the start date, you can request a refund. Once the program begins, the fees become non-refundable.
  

• Is it realistic to complete this agentic AI training alongside a full-time job?

  Yes. The program was designed with working professionals in mind, from software engineers to data professionals, and the weekly time commitment reflects that. Live online classes led by industry experts let you keep learning without pausing your career.
  

• Does earning the certification require passing any tests, quizzes, or graded evaluations?

  No. You are required to complete a minimum of 65% of the curriculum and finish at least two projects. Successful completion of the program earns you a joint program completion certificate from Microsoft and Simplilearn, plus Microsoft Learn certificates for the Microsoft-branded courses. 
  

• Can professionals without a development background succeed in this AI course?

  Yes. The program welcomes a range of backgrounds, including data professionals and AI enthusiasts who want to go from basics to deployment. Bring a basic grasp of programming concepts and a willingness to learn, and the curriculum is structured to carry you the rest of the way.
  

• On average, how many hours per week should I set aside for this generative AI program?

  Plan on 8 to 10 hours per week. The program runs for 12 weeks and includes 70+ learning hours, so a steady weekly rhythm keeps you comfortably on track.
  

• What sets this applied generative AI program apart from other AI certifications?

  The learning is hands-on from day one, with 12+ portfolio projects and 50+ demos that give you real work to show employers. And the curriculum spans the full journey, from generative AI fundamentals to designing and deploying autonomous agents on Azure.
  

• Can I follow this generative AI training with no AI or machine learning experience?

  Yes. The curriculum begins with the foundations, including core AI concepts and the differences between AI, machine learning, deep learning, and generative AI. Each module builds on the one before it, so you gain skills step by step instead of being thrown into the deep end.
  

• How frequently does a new batch or cohort begin for this program?

  An admissions counselor can tell you about the next available cohort and help you reserve your seat. You can schedule a call by clicking the Talk to an Advisor button available on this page.