The Applied Generative AI Specialization prepares you to create and implement advanced AI solutions across industries. Learn to work with cutting-edge models, address ethical challenges, and ensure compliance in AI deployments. Gain practical expertise through real-world projects, enabling you to drive innovation, automate processes, and excel in the rapidly evolving AI landscape.
Earn a recognized certificate (Michigan Engineering Professional Education) upon completing the Applied Generative AI Specialization.
Participate in interactive sessions led by industry experts covering Python, AI fundamentals, and GenAI principles like VAEs, GANs, and LLMs.
Access a well-structured program that teaches agentic AI frameworks, prompt engineering, RAG, and domain-specific model fine-tuning.
Gain practical experience with 12+ modern AI tools, including OpenAI, Stable Diffusion, Microsoft Copilot, LangChain, and Streamlit.
Learn to build adaptive AI agents using LangChain and other agentic frameworks for real-world applications.
Understand and implement guidelines for AI transparency, fairness, security, and regulatory compliance.
Earn a course completion certificate hosted on the Microsoft Learn portal for Microsoft courses.
Access session recordings to learn at your own pace anytime, anywhere.
Get noticed by top employers with Nvidya’s dedicated career assistance and job placement support.
Apply GenAI skills to create real-world AI solutions and enhance your professional portfolio.
Enjoy round-the-clock access to Nvidya’s Learning Management System for continuous learning and revision.
Acquire a competitive edge with practical, hands-on training in the fast-growing field of Generative AI. Learn to work with agentic AI frameworks, advanced prompt engineering, attention mechanisms, LLM fine-tuning, and AI application development to create impactful, real-world AI solutions.
01.01 Introduction to Python Programming
01.02 Python Data Types and Operators
01.03 Conditional Statements and Loops
01.04 Error and File Handling
01.05 Python Functions
02.01 Overview of AI, ML, and DL
02.02 Advanced AI Models, Transformers, and NLP
02.03 Generative AI Fundamentals
02.04 Introduction to the GenAI Open-Source Landscape
02.05 AI Security, Ethics, and Future Trends
02.06 Introduction to Prompt Engineering
02.07 Hands-on Demos: GPTs and AI in Business
03.01 Introduction to Generative AI Models
03.02 How Generative AI Works
03.03 Evaluating Model Quality in Generative AI
03.04 Large Language Models (LLMs) and Future Considerations
03.05 VAEs and GANs - Training Process
03.06 Attention Mechanisms and Transformers: Image and Text Generation
03.07 LangChain and Workflow Design
04.01 Advanced Prompt Engineering
04.02 Advanced Prompting Techniques
04.03 LangChain for LLM Applications
04.04 Vector Stores, Retriever, and LangChain Agents
04.05 RAG with LangChain: Model Evaluation and Monitoring
04.06 LLM Fine-Tuning & Customization
04.07 Benchmarking and Evaluating LLM Capabilities
05.01 Foundations of Agentic AI and Key Capabilities
05.02 LLM Agent Architecture: Perception, Cognitive Processing, and Action Components
05.03 LangGraph: Node Framework, Flow Routing, and Orchestration Techniques
05.04 AutoGen: Multi-Agent Coordination, Custom Setups, and Collaborative Execution
05.05 CrewAI: Agent Teams, Tool Integration, Task Planning, and Workflow Design
05.06 MCP Protocol: Seamless Integration, Communication Protocols, and SDK Solutions
06.01 Stable Diffusion and Denoising
06.02 Autoencoders and Contrastive Learning
06.03 Shared Embedding Spaces for Image Generation
06.04 Practical Applications
07.01 Foundations of Generative AI Governance
07.02 Ethical Frameworks and AI Principles
07.03 Privacy, Bias, and Fairness in AI Systems
07.04 Governance Structures and Committees
07.05 AI Legal Risks and Compliance
07.06 Future of AI Governance and Implementation
08.01 Complete the final step in your learning journey with the capstone project
08.02 Design, train, and deploy a generative AI solution
08.03 Address ethical concerns, bias mitigation, and regulatory compliance
08.04 Demonstrate a technical understanding of AI and apply governance principles
08.05 Integrate responsible AI development with practical application to create ethical, secure AI solutions
ME-AGS: Microsoft Azure AI Fundamentals: Generative AI
ME-AGS: Build a Foundation to Extend Microsoft 365 Copilot
ME-AGS: Masterclass
Develop InsightForge, an AI tool that analyzes business data, generates actionable insights, and visualizes trends using LangChain, RAG, and LLMs.
Build a conversational AI chatbot to help employees quickly retrieve answers from HR policy documents using OpenAI GPT and Gradio interface.
Create a text-to-image generation platform to design marketing visuals, banners, and posters using OpenAI DALL·E and Gradio UI.
Develop an AI assistant to deliver real-time news, filter misinformation, and respond to user queries efficiently using OpenAI GPT and LangGraph.
Nvidya offers extensive career support to help learners succeed professionally. This includes access to workshops, networking tools, and a supportive community, a smart job tracker and board to stay ahead in your job search, an AI-powered resume builder for creating ATS-friendly resumes, a mock interview coach for practice anytime, and guidance on the latest industry trends to keep your skills relevant.
Applying for the program is simple and involves three steps:
Selected candidates receive an admission offer, which must be accepted by paying the admission fee to confirm their place in the program.
Graduates of this program have been successfully placed in top global companies, including Netflix, Amazon, Google, Bosch, Microsoft, Apple, LinkedIn, EY, Accenture, and Deloitte.
The program provides hands-on experience with over 13 industry-relevant tools and platforms, including Python, ChatGPT, OpenAI, Hugging Face, Gemini, Microsoft Copilot, Azure AI Studio, DALL·E 2, LangChain, Gradio, Streamlit, Stability AI, and Jupyter Notebook.
““This Applied AI course gave me the confidence to build real AI projects from scratch. The step-by-step guidance and hands-on experience made learning both practical and enjoyable."”
“The course content is well-structured and easy to follow, even for beginners. The projects helped me apply theoretical knowledge to real-world scenarios, boosting my skills and career prospects.”
“"A perfect blend of theory and practice! The AI and machine learning concepts were clearly explained, and the projects provided valuable experience working with industry-standard tools."”
“This course helped me transition smoothly into AI development with its practical approach and expert support. I highly recommend it for anyone aiming to grow in AI and machine learning.”
Gain practical expertise crafted with industry and academic input.
Learn from seasoned professionals sharing real-world insights and case studies.
Build skills through hands-on projects with real data and virtual labs.
Enjoy 24/7 access to mentors and a supportive learning community.
An Applied Generative AI course teaches professionals how to develop and deploy AI-driven solutions using advanced tools like LLMs, agentic AI, and platforms such as OpenAI, LangChain, and Stable Diffusion. The program emphasizes practical, real-world applications of AI to drive automation, innovation, and business efficiency.
Generative AI specialists use advanced AI models to create intelligent applications, automate processes, and improve user experiences. They design AI-powered solutions, fine-tune models, and ensure compliance with ethical and regulatory standards. Their work helps organizations leverage AI to enhance decision-making, efficiency, and competitiveness.
This program is ideal for:
To enroll, candidates should:
Key outcomes include:
The curriculum includes:
Yes, the program includes practical, industry-relevant projects, such as:
Participants gain hands-on experience with:
The program is delivered by industry professionals with 10+ years of experience in AI, data science, and cloud computing. These experts provide practical insights from real-world AI projects, ensuring participants learn applicable, job-ready skills.
The program includes over 70 hours of live online sessions. Missed classes can be accessed via recorded sessions to ensure flexible learning.
Yes. Upon completion, learners receive a recognized Applied Generative AI certificate and digital badge. Additional certifications for related modules, hosted on industry platforms, are also provided.
Learners receive lifetime access to all course materials through Nvidya’s LMS.
This program equips professionals with AI skills in high demand across industries. Graduates can pursue roles in AI development, automation, analytics, business intelligence, and AI strategy, making them valuable assets to organizations implementing AI solutions.
Steps to apply:
Yes. Flexible monthly installment plans with low interest rates are available through partners like Klarna or Splitit.
Participants receive:
Yes. Other offerings include:
AI professionals design intelligent systems that mimic human thinking and learning. They employ techniques such as machine learning, deep learning, and natural language processing to automate processes and enhance decision-making. Their work spans multiple industries, from creating recommendation engines and optimizing supply chains to improving cybersecurity measures. These experts combine data analysis, statistical methods, and programming skills to develop AI-driven solutions that deliver real-world impact.
This specialization is tailored for professionals aiming to master generative AI technologies through immersive learning and expert mentorship. Benefits include:
Yes, Nvidya for Business delivers tailored learning solutions to help organizations upskill their workforce in AI and other emerging technologies. We partner with Fortune 500 companies and mid-sized firms to design role-specific training paths and certification programs. Our offerings include unlimited access to live and interactive courses through the Nvidya Learning Hub+, ensuring your teams stay current with industry trends. Our dedicated curriculum consultants collaborate with clients to customize training strategies that fit organizational needs.
Certainly. If your access to the course expires before you complete all assignments and projects, Nvidya offers an option to extend your program access by three months for a small fee. During this extension, you can revisit recorded sessions from the current cohort and complete any pending coursework at your own pace
Yes, Nvidya’s Applied AI course is offered through a third-party collaboration with University of Michigan, a renowned academic institution recognized for its excellence in technology and engineering education. This partnership ensures you gain access to a high-quality curriculum that combines strong academic foundations with practical industry insights.