Learn to Develop and Deploy GenAI-Enabled Applications in Applied AI Course

Applied AI Course FAQs

• What is an applied AI course?

  An applied generative AI course teaches practical skills to build and deploy AI-driven solutions using LLMs, agentic AI, and tools like OpenAI, LangChain, and Stable Diffusion. It focuses on real-world applications, automation, and innovation, enabling professionals to drive business growth with hands-on AI implementation.
   

  The course covers AI-powered automation, decision-making, and industry use cases. With hands-on projects, it equips professionals to leverage GenAI for efficiency, creativity, and competitive advantage.

• What does a GenAI professional do?

  A generative AI professional leverages advanced AI models, like LLMs and image generation technologies, to develop innovative solutions that drive business transformation and efficiency. They focus on creating AI-powered applications, improving customer experiences, and automating processes. 

  With expertise in model development, data management, and ethical AI practices, a generative AI professional helps organizations harness the power of AI for growth, innovation, and competitive advantage. They are crucial in integrating AI into business strategies to unlock new opportunities and enhance performance.

• What role does the University of Michigan play in the program's curriculum and quality oversight?

  The program curriculum is vetted by the Michigan Engineering Professional Education, although the instructors are not employees of the University of Michigan. In addition to approving program content, Michigan Engineering Professional Education staff provides oversight of this program in relation to instructor assessment process, quality assurance, student satisfaction, and program outcomes.

• How effective are the trainers at Simplilearn?

  This program is led by industry experts with extensive experience in cutting-edge fields such as machine learning models, LLMs, and more. Each trainer is carefully selected based on their deep expertise, industry recognition, and proven teaching ability, ensuring that you receive top-quality education and valuable, real-world insights to help you stay ahead in the fast-evolving tech landscape.

• What is the Applied Generative AI course about?

  The GenAI certification program from Michigan Engineering Professional Education, in collaboration with Microsft Azure, is designed to help you learn how to build real-world, AI-powered solutions to drive innovation, improve productivity, and streamline business processes.

• Who is this GenAI certification program ideal for?

  This applied generative AI program is ideal for professionals in any industry or discipline who want to enhance their skill sets with the latest AI tools and technologies.

  For admission to this GenAI specialization program, candidates should:

  • Be at least 18 years old and have a high school diploma or equivalent

  • Have at least two years of professional experience (preferred, but not mandatory)

  • Have a basic understanding of programming concepts and mathematics

• What are the key learning outcomes of this applied AI course?

  Some of the key learning outcomes of this GenAI certification program include (but aren’t limited to):

  • Gain comprehensive AI literacy

  • Learn how to build AI-powered agents and applications

  • Build LLM applications and fine-tune models

  • Understand the ethical implications and regulatory compliance requirements of AI

  • Discover how AI is transforming industries

  • Get hands-on experience with top GenAI tools

• What topics are covered in the curriculum?

  The comprehensive curriculum in this Applied Generative AI program covers:

  • Python programming

  • AI literacy

  • AI models and architecture

  • LLM (large language model) applications

  • Agentic frameworks

  • Image Generation

  • Generative AI governance

  • Microsoft Azure and 365 Copilot AI, and more

• Are there any hands-on projects in the GenAI certification program?

  Yes. This applied generative AI program includes real-world, industry-relevant projects to ensure you gain job-ready skills, including, but not limited to:

  • Building an AI-powered business intelligence assistant

  • Creating a conversational AI chatbot for an HR department

  • Designing a text-to-image platform for marketing collateral

  • Developing a text-based adventure game using Python and GitHub Copilot

  You’ll also complete a capstone project in which you will design, train, and deploy a GenAI solution while addressing ethical concerns, model bias, and regulatory compliance.

• What tools and technologies will I learn in this applied ai course?

  • Yes, this program provides extensive, hands-on training with a comprehensive suite of over 13 of the most popular and powerful tools and platforms used in the Generative AI industry today. The curriculum is designed to ensure you become proficient not just in theory but in the practical application of these technologies within real-world projects.

    • Core AI Models and Frameworks: You will gain significant experience working with Python, the primary language for AI development, and industry-leading models and APIs from OpenAI, including ChatGPT. You will also work with the Hugging Face platform, a key repository for open-source AI models.

    • Leading LLMs and Platforms: The curriculum includes hands-on practice with other major large language models, such as Google's Gemini and cloud platforms like Azure AI Studio from Microsoft.

    • Application Development and Orchestration: You will gain proficiency in master LangChain, a critical framework for designing and developing LLM-powered applications. You will also learn to build interactive user interfaces for your AI apps using tools like Gradio and Streamlit.

    • Image and Content Generation: The program covers cutting-edge image generation tools, including DALL-E 2 from OpenAI and open-source models from Stability AI.

    • Microsoft Ecosystem: A significant portion of the training focuses on the Microsoft ecosystem, with hands-on learning using Microsoft Copilot and development within Jupyter Notebooks

• Who are the instructors for this applied generative AI program?

  The instructors for this applied generative ai program are industry experts with over 10 years of experience. They are data scientists, GenAI engineers, specialists, and consultants, big data engineers, cloud architects, etc.

• Is the GenAI certification program self-paced or live?

  This applied generative ai program consists of over 70 hours of live, online classes led by industry experts. If you miss any live classes, you can watch recorded sessions to complete your coursework.

• Will I receive a certificate upon completion?

  Yes. After completing this Gen AI certificate program, you will receive an Applied Generative AI Specialization certificate and digital badge from Michigan Engineering Professional Education. You’ll also receive Microsoft generative AI certificates for related courses hosted on the Microsoft Learn portal. These certificates testify to your knowledge, skills, and commitment to continuing education.

• How long will I have access to the learning content?

  Upon completion, you will get lifetime access to the applied GenAI course content from Simplilearn’s Learning Management System (LMS).

• How will this applied generative AI program help in my career?

  According to the Microsoft and LinkedIn 2024 Work Trend Index Annual Report, 79 percent of business leaders agree that they need to adopt AI in their businesses to stay competitive, and 71 percent say that they would consider hiring less experienced candidates with AI skills over more seasoned professionals. Earning a GenAI certification will help candidates stand out to employers across all industries and the departments within them.

• What is the application process for this Applied Generative AI program?

   To apply for this GenAI certification program, follow three steps:

  • Submit your application online

  • If selected for admission, reserve your seat by paying the program fee

  • Choose a cohort date to begin your learning journey

• Are there any financing options available for this applied generative AI program?

  Yes. You can pay for this GenAI program in monthly installments with low APRs and no hidden fees through Klarna or Splitit. Contact our program advisors for more information.

• What benefits does the Michigan Engineering Professional Education and Simplilearn program offer?

  This applied GenAI course from Michigan Eng Pro-Ed and Simplilearn, in collaboration with Microsoft Azure, offers several key benefits, including:

  • Comprehensive training in skills like prompt engineering, Agentic AI, variational autoencoders (VAEs), LLM fine-tuning, attention mechanisms, generative adversarial networks (GANS), GenAI governance, AI ethics, and more 

  • A curriculum developed and delivered by AI experts and vetted by Michigan College of Engineering

• Are there any other courses Simplilearn offers under AI and machine learning?

  Yes, Simplilearn offers several AI and ML courses. Here are a few:

  • Machine Learning Using Python

  • Microsoft Certified Azure AI Engineer Associate - AI 102

  • Artificial Intelligence Engineer 

  • Microsoft AI Engineer Program

• Can I change my cohort after enrolling in the program?

  Yes. You are eligible for one complimentary cohort change within the first 60 days of your enrollment. If you cannot continue in your current cohort and, have already used your complimentary change, you may request an additional cohort transfer by paying the applicable fee. For details on the process and support with your request, please contact our support team.

• Can I get 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 either an extension of 30 days OR 3 months by paying a nominal fee. During this extension, you can access recorded sessions from the current cohort and complete your remaining learning requirements.

• What are the benefits of enrolling in the Applied AI Course?

  This applied Gen AI course is built for professionals looking to stay ahead in the AI field by gaining expertise in generative technologies through real-world experience and expert guidance. Here's what you’ll gain:

  • A program completion certificate from Simplilearn, in partnership with Purdue University
  • Practical experience with top AI tools like ChatGPT, Azure AI Studio, Hugging Face, Copilot, and OpenAI
  • Live sessions and academic masterclasses led by industry experts/leaders
  • Hands-on projects to help you build a strong, job-ready portfolio
  • Career support and guidance through Simplilearn’s JobAssist program

• What are the eligibility criteria for enrolling in this Applied AI Course?

  To join this applied Gen AI course, you should have a bachelor’s degree in a relevant field such as computer science, engineering, or mathematics. This applied AI course is ideal for both newcomers and professionals looking to upskill in AI. While having some background in artificial intelligence or programming can be helpful, it’s not mandatory. This applied AI course is designed to guide learners step by step, making it accessible even if you're just starting your journey in AI and machine learning.
  
  In addition to the Applied AI course, Simplilearn offers a variety of Gen AI courses tailored to different interests and experience levels. You can explore and choose the best course that aligns with your career goals and learning preferences.

• What is the Applied Generative AI Specialization, and how is it different from a standard AI course?

  This comprehensive applied  Gen AI course is is a comprehensive online specialization  delivered by Simplilearn in partnership with Purdue University and Microsoft Azure. It is designed to equip you with the practical skills needed to develop and deploy sophisticated AI-powered applications using industry-standard tools and frameworks.

  • Focus on Practical Application: The curriculum is built around developing tangible skills. You will learn not just the "what" but the "how" of building GenAI-enabled applications, from initial concept to final deployment.
  • Industry-Relevant Tools: The program provides deep, hands-on exposure to a modern tech stack, including popular tools like ChatGPT, Azure AI Studio, LangChain, and DALL-E, ensuring your skills are immediately applicable in a professional environment.
  • Project-Based Learning: A significant portion of the learning experience involves over seven real-world projects and a final capstone project. This ensures you graduate with a portfolio of work that demonstrates your capabilities to potential employers.
  • Career-Oriented Curriculum: The entire learning path, from AI literacy to advanced agentic frameworks and AI governance, is structured to build the competencies required for high-demand job roles in the Generative AI space.

• Does this applied gen ai course require a programming background, and does it cover fundamentals like Python?

  Yes, the program is designed to be accessible even if you are not a programming expert, but a basic understanding of programming concepts is required for admission. To ensure all participants have the necessary foundation to succeed in the more advanced modules, the curriculum includes an optional but comprehensive introductory module on Python.

  • No Expert-Level Prerequisite: You do not need to be an expert coder to enroll. The program is ideal for individuals with an analytical mindset and a foundational grasp of programming logic.

  • Dedicated Python Fundamentals Module: The learning path begins with an optional Python Basics module. This course covers everything from installing Python and its development environment (IDE) to learning mastering core concepts like data types, operators, loops, functions, and object-oriented programming.

  • Hands-On with Jupyter Notebook: This foundational module provides practical experience with Jupyter Notebook, a critical tool used by data scientists and AI professionals for coding and data analysis.

  • Building a Strong Foundation: By covering these fundamentals, the program ensures that every learner, regardless of their starting point, has the essential Python skills needed to implement AI and machine learning algorithms effectively in the subsequent modules.

• How are advanced concepts like Agentic AI, RAG, and LLM Fine-Tuning integrated into the program?

  These advanced concepts are deeply integrated as core, hands-on modules within the program's learning path. The curriculum is specifically designed to move beyond basic GenAI applications and equip you with the skills to build the next generation of sophisticated, autonomous, and customized AI systems.

  • Building LLM Applications (RAG & Fine-Tuning): The module "Advanced Generative AI - Building LLM Applications" provides in-depth, practical instruction on these critical techniques. You will learn to implement Retrieval-Augmented Generation (RAG) with LangChain to build applications that can reason over private data, and you will learn the complete process of LLM Fine-Tuning and Customization to adapt models for specific tasks and domains.
  • Agentic AI Frameworks: The program features a dedicated module titled "Agentic AI Frameworks with Model Context and Tooling Protocols." Here, you will step into the future of AI by learning to design and build autonomous AI agents. You will gain hands-on experience with industry-leading frameworks like LangGraph, AutoGen, and CrewAI to create multi-agent systems that can collaborate to solve complex problems.
  • Practical Project Integration: These advanced skills are reinforced through the program's industry projects. For example, you will build an AI-Powered Business Intelligence Assistant using RAG and Finetune a Falcon-7b LLM, providing direct, portfolio-worthy experience with these cutting-edge concepts.