Applied Generative AI Specialization

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Course Overview : Applied Generative AI Specialization

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.

Key Features

  • Program Completion Certificate

    Earn a recognized certificate (Michigan Engineering Professional Education) upon completing the Applied Generative AI Specialization.

  • 70+ Hours of Live Online Learning

    Participate in interactive sessions led by industry experts covering Python, AI fundamentals, and GenAI principles like VAEs, GANs, and LLMs.

  • Comprehensive Curriculum

    Access a well-structured program that teaches agentic AI frameworks, prompt engineering, RAG, and domain-specific model fine-tuning.

  • Hands-On AI Tools

    Gain practical experience with 12+ modern AI tools, including OpenAI, Stable Diffusion, Microsoft Copilot, LangChain, and Streamlit.

  • Agentic AI Projects

    Learn to build adaptive AI agents using LangChain and other agentic frameworks for real-world applications.

  • Best Practices in AI

    Understand and implement guidelines for AI transparency, fairness, security, and regulatory compliance.

  • Microsoft Learn Integration

    Earn a course completion certificate hosted on the Microsoft Learn portal for Microsoft courses.

  • Flexible Learning

    Access session recordings to learn at your own pace anytime, anywhere.

  • Career Support Services

    Get noticed by top employers with Nvidya’s dedicated career assistance and job placement support.

  • Practical AI Applications

    Apply GenAI skills to create real-world AI solutions and enhance your professional portfolio.

  • 24/7 LMS Access

    Enjoy round-the-clock access to Nvidya’s Learning Management System for continuous learning and revision.

Skills Covered

  • Prompt Engineering
  • Agentic Frameworks
  • AI Agents
  • LangChain for Workflow Design
  • Retrieval Augmented Generation RAG
  • LLM Fine Tuning
  • Stable Diffusion
  • Variational Autoencoders VAEs
  • Generative Adversarial Networks GANs
  • Attention Mechanisms
  • Transformers
  • GenAI Application Development
  • LLM Benchmarking
  • GenAI Governance
  • AI Image Generation

Career Benefits of Applied Generative AI Specialization

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.

Unlock the Future of Innovation with Advanced Generative AI Skills

Instructor-led
Learn from expert instructors in live, online sessions.
Get 24/7 learner support and access two full-length mock exams.
Choose a schedule that fits your availability.

$2995

Corporate Training
Choose from flexible pricing and billing options.
Join private cohorts tailored to your teams.
Track your training progress with intuitive dashboards.
Assess and benchmark your skills easily. Integrate seamlessly with your existing platforms.
Get support from a dedicated Customer Success Manager

Eligibility for Applied Generative AI Specialization

  • You should be at least 18 years old and have completed high school or an equivalent qualification.
  • A basic grasp of programming fundamentals and mathematics is expected.
  • Having two or more years of professional experience is an advantage, but it’s not mandatory.

Prerequisites

  • No advanced prerequisites required
  • A general interest in AI, programming, and problem-solving is helpful
  • Anyone with a willingness to learn can apply

Course Content: Applied Generative AI Specialization

Section 01 - Python Refresher with AI (Optional)

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

  • Fundamentals of GenAI
  • Explore Generative AI With Microsoft Copilot
  • Responsible Generative AI
  • Measure, Mitigate, and Identify Potential Harms
  • Content Filters in Azure AI Studio

ME-AGS: Build a Foundation to Extend Microsoft 365 Copilot

  • Explore the Microsoft 365 Copilot design
  • Learn Microsoft 365 Copilot extensibility basics
  • Select the right extensibility development path
  • Get started with Graph connectors
  • Understand declarative agents for Copilot
  • Manage Copilot agents effectively

ME-AGS: Masterclass

  • Join exclusive online interactive masterclasses led by industry thought leaders
  • Gain valuable insights into the latest technologies and advancements in generative AI
  • Discover how AI is transforming industries, enhancing creativity, and driving innovation
  • Engage in live discussions and explore real-world applications to stay ahead in the AI revolution

Applied Generative AI Specialization Projects

Project 1 – AI-Powered Business Intelligence Assistant

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.

Exam & Certification FAQs

What career growth resources does Nvidya provide for learners?

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:

  1. Submit your application by providing a brief overview of your education and work experience.
  2. Reserve your seat by completing the payment for admission.
  3. Once selected, you can start the program within 1 to 2 weeks.

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.

CERTIFICATE FOR Applied Generative AI Specialization
THIS CERTIFICATE IS AWARDED TO
Your Name
FOR SUCCESSFUL PARTICIPATION IN
Applied Generative AI Specialization
Issued By NVidya
Certificate ID __________
Date __________

Success Stories

Sarah Johnson
Sarah Johnson

““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.”

Ahmed Al-Mansouri
Ahmed Al-Mansouri

“"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.”

Why Choose This Program?

Develop In-Demand Skills

Gain practical expertise crafted with industry and academic input.

Learn from Seasoned Professionals

Learn from seasoned professionals sharing real-world insights and case studies.

Engage in Applied Learning

Build skills through hands-on projects with real data and virtual labs.

Benefit from Continuous Support

Enjoy 24/7 access to mentors and a supportive learning community.

Frequently Asked Questions

What is an Applied Generative AI Course?

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:

  • Professionals seeking to upgrade AI skills in any industry
  • Analysts and developers wanting hands-on experience with generative AI
  • Business leaders interested in integrating AI into operations
  • Individuals with basic programming or mathematical knowledge who want to enter the AI space

To enroll, candidates should:

  • Be at least 18 years old
  • Preferably have professional experience (optional)
  • Have a basic understanding of programming and math fundamentals

Key outcomes include:

  • Building AI-powered agents and applications
  • Developing and fine-tuning LLM-based solutions
  • Implementing text-to-image and content generation workflows
  • Understanding AI ethics, governance, and regulatory compliance
  • Applying AI in industry-specific business scenarios

The curriculum includes:

  • Python for AI programming
  • Fundamentals of AI and machine learning
  • LLM architecture and applications
  • Agentic AI frameworks
  • Image and content generation using AI
  • Generative AI ethics and governance
  • Cloud-based AI tools and platforms

Yes, the program includes practical, industry-relevant projects, such as:

  • Developing an AI business assistant
  • Creating conversational chatbots for departments like HR
  • Designing text-to-image systems for marketing
  • Building interactive AI-driven games
  • Completing a capstone project covering deployment, bias mitigation, and compliance

Participants gain hands-on experience with:

  • ChatGPT and OpenAI APIs
  • Microsoft Copilot and Azure AI tools
  • LangChain, Stable Diffusion, DALL-E 2, Gemini
  • Python and GitHub Copilot

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:

  1. Submit an online application
  2. Confirm your seat by completing the program fee payment
  3. Select a cohort and start the learning journey

Yes. Flexible monthly installment plans with low interest rates are available through partners like Klarna or Splitit.

Participants receive:

  • Practical training in AI, LLMs, Agentic AI, and governance
  • Career support including resume guidance, interview prep, and employer outreach
  • Hands-on projects and a capstone for practical experience

Yes. Other offerings include:

  • Machine Learning with Python
  • Microsoft Certified Azure AI Engineer Associate
  • Artificial Intelligence Engineer Program
  • Advanced AI and Generative AI Specializations

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:

  • Hands-on training with industry-leading AI platforms such as ChatGPT, Azure AI Studio, Hugging Face, and Copilot.
  • Live interactive sessions and masterclasses conducted by seasoned AI experts and industry leaders.
  • Multiple practical projects designed to build a strong portfolio that impresses employers.
  • Dedicated career support via Nvidya’s JobAssist program, helping you secure AI roles post-completion.

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.