Applied Generative AI & LLM Specialization

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Course Overview : Applied Generative AI Specialization

This Applied Generative AI Specialization empowers you to build and deploy AI-powered applications using industry-standard tools and frameworks. Gain expertise in prompt engineering, GANs, VAEs, and large language model architectures, while diving into advanced concepts such as agentic AI, LLM fine-tuning, retrieval-augmented generation (RAG), and AI governance to prepare for practical, real-world AI implementations.

Key Features

  • Career Support Services

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

  • Certified Completion

    Earn an industry-recognized certificate to validate your AI skills and boost your professional profile.

  • Extensive Live Training

    Benefit from 70+ hours of instructor-led sessions conducted by seasoned AI and cloud technology experts.

  • Practical Project Work

     Develop your expertise through 7+ hands-on projects and a capstone that simulates real-world AI challenges.

  • Master Emerging Skills

    Learn key concepts like LLM fine-tuning, prompt engineering, AI governance, and agentic AI frameworks.

  • Work with Advanced Tools

    Gain proficiency using leading AI platforms including ChatGPT, Azure AI Studio, and LangChain.

  • Comprehensive Curriculum

    Explore topics spanning AI literacy, generative AI models, and cutting-edge agentic AI techniques.

  • Network with Professionals

    Collaborate and learn alongside peers from diverse sectors such as IT, finance, and education.

Skills Covered

  • Python Programming
  • Prompt Engineering
  • AI Literacy
  • Generative AI Fundamentals
  • Large Language Model LLM Architecture
  • Agentic AI and Autonomous AI Agents
  • LangChain for Workflow Design
  • Retrieval Augmented Generation RAG
  • LLM Fine Tuning and Customization
  • Stable Diffusion
  • Explainable AI
  • Variational Autoencoders VAEs
  • Transformers and Attention Mechanism
  • GenAI Application Development
  • LLM Benchmarking and Evaluation
  • Generative AI Governance and Ethics

Career Benefits of Applied Generative AI & LLM Specialization

The generative AI market is booming, expected to grow from $25.86 billion in 2024 to over $1 trillion by 2034, driving high demand for AI-skilled professionals. Completing this course equips you with cutting-edge AI skills, boosting your career prospects across industries like tech, finance, and healthcare. It prepares you for roles such as AI Engineer and Data Scientist, with strong growth and competitive salaries.

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.

$3153

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 1: AGS: Python Basics (Optional)

1.01 Procedural and OOP understanding
1.02 Python and IDE installation
1.03 Jupyter Notebook usage mastery
1.04 Implementing identifiers, indentations, comments
1.05 Python data types, operators, string identification
1.06 Types of Python loops comprehension
1.07 Variable scope in functions exploration
1.08 OOP explanation and characteristics
1.09 Preview

2.01 Foundations of Machine Learning and Generative AI.
2.02 Generative AI Algorithms: Neural Networks, GANs, and Transformers.
2.03 Large Language Models (LLMs) and Their Applications in Chatbots.
2.04 Image Generation Techniques: GANs, Diffusion Models, and VAEs.
2.05 Hands-On Practice with AI Tools: Chat GPT, Stable Diffusion, and more.
2.06 Explore Video Generation using Generative AI.
2.07 Prompt Engineering for Chatbots and AI-Driven Image Generation.

3.01 Introduction to Generative Models
3.02 Large Language Models Architecture
3.03 Variational Autoencoders (VAEs)
3.04 Generative Adversarial Networks (GANs)
3.05 Attention Mechanisms and Transformers

4.01 Langchain and Workflow Design
4.02 Advanced Prompt Engineering Techniques
4.03 LLM Application Development
4.04 LangChain for LLM Development
4.05 RAG with LangChain
4.06 LLM Fine-Tuning and Customization
4.07 Benchmarking and Evaluation of LLM Capabilities

5.01 Introduction to Agentic AI and Core Attributes
5.02 LLM Agent Design: Perception, Cognitive Engine, and Action Modules
5.03 LangGraph: Node Structure, Routing Logic, and Orchestration Strategies
5.04 AutoGen: Multi-Agent Workflows, Custom Configurations, and Team Collaboration
5.05 CrewAI: Agent Groups, Tool Usage, Task Structuring, and Process Design
5.06 MCP Protocol: Unified Integration, Communication Standards, and SDK Frameworks

6.01 Stable Diffusion
6.02 Denoising
6.03 Autoencoders in Generative AI
6.04 Contrastive Learning Techniques
6.05 Shared Embedding Spaces

7.01 Importance of Governance in AI
7.02 Governance Challenges in Generative AI
7.03 Ethical Principles in AI
7.04 Governance Structures and Committees
7.05 Risk Management in AI Projects
7.06 Integrating Governance into the AI Project Lifecycle
7.07 Evolving Regulatory Landscape
7.08 Future Trends in AI Governance

8.01 At the end of this Applied Generative AI Program, bring your newly acquired skills together with a hands-on, industry-relevant capstone project that compiles every course into one portfolio-worthy capstone.

Elective 1: AGS: Microsoft Azure AI Fundamentals - Generative AI
1.01 Understand how large language models form the foundation of generative AI
1.02 Describe how Azure OpenAI Service provides access to the latest generative AI technology
1.03 Understand how generative AI applications, such as copilots, support efficiencies
1.04 Describe how prompts and responses can be fine-tuned
1.05 Describe how Microsoft's responsible AI principles drive ethical AI advancements

Elective 2: AGS: Microsoft Copilot Foundations
2.01 Create copilots and work with the Microsoft Copilot Studio interface
2.02 Publish bots and analyze performance
2.03 What is Azure AI Studio?
2.04 Build a Retrieval Augmented Generation (RAG)-based copilot solution
2.05 Understand how to ground your language model
2.06 Build a copilot with prompt flow

Elective 3: AGS: Academic Masterclass
3.01 Attend an online interactive masterclass and get insights about advancements in technology/techniques in Generative AI.

Applied Generative AI & LLM Specialization Projects

Project 1: Personal Expense Tracker

Create a personal expense tracker that categorizes expenses and manages monthly budgets. Implement file handling for secure data storage, all accessible through a user-friendly, menu-driven interface.

Develop a task manager featuring user login and registration. Users can add, view, complete, and delete tasks, with all data persistently stored using file handling techniques.

Build an AI-powered HR assistant leveraging OpenAI’s GPT and Gradio UI to efficiently extract answers from Nestlé’s HR policy documents, enhancing quick and accurate HR information access.

Build a generative AI platform that converts text prompts into creative visual designs using DALL-E and Gradio UI, enabling marketers to automate content creation and produce high-quality visuals efficiently.

Exam & Certification FAQs

What career growth resources does Nvidya provide for learners?

Nvidya offers comprehensive career support, including:

  • Access to workshops, networking tools, and community support
  • A smart tracker and job board to stay ahead in your job hunt
  • An AI Resume Builder to create ATS-friendly resumes
  • An AI-powered Mock Interview Coach for anytime practice
  • Guidance on the latest industry trends to keep your skills relevant

The application involves three easy 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 will receive an admission offer, which must be accepted by paying the admission fee to confirm their place.

Our program alumni have been hired by top global companies such as Netflix, Amazon, Google, Bosch, Microsoft, Apple, LinkedIn, EY, Accenture, and Deloitte.

The program covers over 13 essential tools and platforms, including:

  • Python
  • ChatGPT
  • OpenAI
  • Hugging Face
  • Gemini
  • Microsoft Copilot
  • Azure AI Studio
  • DALL·E 2
  • LangChain
  • Gradio
  • Streamlit
  • Stability AI
  • Jupyter Notebook
CERTIFICATE FOR Applied Generative AI & LLM Specialization
THIS CERTIFICATE IS AWARDED TO
Your Name
FOR SUCCESSFUL PARTICIPATION IN
Applied Generative AI & LLM 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 exactly is an Applied AI course?

An Applied AI course focuses on equipping learners with practical skills to leverage artificial intelligence for solving real-life challenges. Rather than concentrating solely on theory, this program emphasizes hands-on projects such as developing AI-powered applications, building machine learning models, and utilizing advanced AI tools like ChatGPT, Hugging Face, and OpenAI. The course covers diverse applications including automation, content creation, chatbots, and image generation, making it ideal for professionals seeking industry-ready AI expertise.

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.

Nvidya’s Applied AI instructors are seasoned industry experts with extensive backgrounds in machine learning, natural language processing, cloud technologies, and core computer science principles. Trainers are carefully selected for their proven expertise and ability to simplify complex AI concepts into practical lessons. Their real-world experience ensures that students receive immersive, hands-on training aligned with current industry demands.

Enrolling in Nvidya’s Applied Generative AI program involves a straightforward three-step process:

  1. Submit your application highlighting your educational background and motivation for joining.
  2. Applications are reviewed by an admissions team, which shortlists candidates based on their profiles.
  3. Successful applicants can start their learning journey within 1 to 2 weeks, after completing the course fee payment through various convenient methods.

Salary expectations after completing an Applied AI course vary depending on factors such as geography, experience, industry, and job function. AI professionals generally command competitive pay due to high demand. For instance, AI engineers in the U.S. earn an average of $103,831 annually, with additional bonuses averaging $31,498. In India, the typical yearly salary is around ₹10,00,000, plus an additional ₹1,00,000 in benefits and bonuses.

Graduates of Nvidya’s Applied AI program are well-prepared to enter dynamic career paths across many sectors. Popular roles include AI Developer, Machine Learning Engineer, Data Scientist, and AI Consultant. With experience, professionals can advance into leadership positions that focus on AI innovation and strategic implementation within organizations.

The scope of applied AI is expanding rapidly as industries increasingly integrate AI technologies. Recent studies show that over 90% of companies plan to increase investments in generative AI solutions in the coming years. Applied AI is already transforming fields such as healthcare (diagnostics and treatment), finance (fraud detection and risk management), manufacturing (automation and predictive maintenance), and retail (personalized experiences and inventory control). This trend indicates growing demand and abundant career prospects for AI-skilled professionals.

Artificial Intelligence (AI) broadly refers to the conceptual development of systems that simulate human intelligence, including learning, reasoning, and decision-making capabilities. Applied AI, on the other hand, focuses on putting these concepts into practice by building solutions that address specific real-world problems. For example, AI research might develop a model to interpret medical images, while applied AI leverages that model to diagnose diseases from those images in clinical settings.

Nvidya’s Applied AI course equips you with both foundational knowledge and practical experience to create advanced Generative AI applications. You’ll dive into key concepts like prompt engineering, Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), large language models (LLMs), and attention mechanisms. Throughout the course, you’ll complete over seven industry-relevant projects and a capstone assignment to apply what you learn. You’ll also gain hands-on experience with cutting-edge tools including ChatGPT, LangChain, Hugging Face, and Azure AI Studio. Additionally, the curriculum covers advanced areas like fine-tuning LLMs, retrieval-augmented generation (RAG), and ethical AI practices, empowering you to build chatbots, image generators, and intelligent code assistants.

Yes, many employers recognize Nvidya’s Applied AI course as eligible for tuition reimbursement or educational assistance programs. We recommend checking directly with your HR or finance department about your company’s specific policies. To streamline this process, Nvidya provides official completion certificates, detailed fee receipts, and comprehensive course outlines, which you can submit to your employer for reimbursement claims.

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.

To enroll, candidates typically hold a bachelor’s degree in fields like computer science, engineering, or mathematics. However, the course is also well-suited for beginners eager to enter AI, as it offers step-by-step guidance throughout. While prior experience with AI or programming is beneficial, it is not mandatory. Nvidya also provides a range of generative AI courses catering to diverse skill levels and interests, allowing you to choose the path best aligned with your career goals.

Upon successful completion, you will be awarded a completion certificate. This credential validates your expertise in generative AI and significantly enhances your professional profile, helping you stand out in the competitive job market.

Absolutely! Nvidya offers an extensive portfolio of AI and Machine Learning programs designed to elevate your knowledge and skills. Whether you’re seeking advanced certifications or specialized courses targeting specific AI domains, Nvidya has you covered. Some popular courses include:

  • Machine Learning Fundamentals
  • Generative AI for Business Applications
  • Comprehensive Generative AI and Machine Learning
  • Introduction to Generative AI Concepts
  • Artificial Intelligence Foundations
  • Professional Gen AI Certification

No, missing a live session won’t hinder your course completion. Nvidya’s Flexi-Learn feature allows you to watch recordings of all live classes at your convenience. Simply log in to the learning platform, select the session you missed, and view the video to stay on track with the course schedule.

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.

Yes, Nvidya allows one free cohort change within the first 60 days after enrollment. If you need to switch again or outside this period, you can request additional cohort transfers by paying a nominal fee. For assistance with cohort changes, please reach out to Nvidya’s support team for smooth processing.

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 Generative AI course is delivered in partnership with a reputed organization (Purdue University) known for excellence in technology and engineering education. This collaboration ensures learners access a high-quality curriculum that blends strong academic foundations with practical, industry-relevant insights.