This Applied Generative AI program empowers you to harness generative AI in practical, real-world applications. Gain hands-on expertise in key areas such as Agentic frameworks, large language models (LLMs), and prompt engineering. Explore advanced topics including fine-tuning, MCP, and AI-driven solutions that are shaping today’s industries.
Earn a recognized certificate upon successfully completing the program.
70+ hours of interactive online classes delivered by industry leaders.
Learn from live masterclasses conducted by leading AI experts and researchers.
Gain practical experience through 60+ exercises and 7 industry-relevant projects with integrated labs.
Apply your skills to develop real-world AI-enabled solutions.
Work with Copilot, Azure AI Studio, ChatGPT, OpenAI, DALL-E 2, Hugging Face, and other leading AI platforms.
Participate in a 2-day hands-on campus immersion at a premier AI research hub.
Learn to design and implement end-to-end Retrieval-Augmented Generation (RAG) applications.
Get a chance to have your AI startup supported and incubated by a technology foundation.
Receive official certificates for all completed Microsoft Learn courses.
Boost your career by mastering generative AI, agentic frameworks, and hands-on AI applications. Gain a competitive edge with industry-recognized skills and real-world project experience.
To enroll in the Advanced Executive Program In Applied Generative AI Program, participants should meet the following criteria:
1.01 Kickstart Your Journey with Applied Generative Specialization Program
1.02 Covering All Essential Concepts in Generative AI
1.03 Comprehensive Knowledge and Skills to Excel in the Field
2.01 Procedural and OOP Understanding
2.02 Python and IDE Installation
2.03 Jupyter Notebook Usage Mastery
2.04 Implementing Identifiers, Indentations, Comments
2.05 Python Data Types, Operators, String Identification
2.06 Types of Python Loops Comprehension
2.07 Setting Up GitHub Copilot and AI Code Tools
2.08 Writing Effective AI Prompts
2.09 Reviewing & Refining AI-Generated Code
2.10 AI for Code Optimization & Automation
2.11 Debugging AI-Suggested Code
3.01 Cutting-Edge Knowledge: Generative AI, Prompt Engineering, and ChatGPT
3.02 Hands-On Skills: Real-World Understanding of Business Applications
3.03 Effective Gen AI Utilization
3.04 Mastering Prompt Engineering for Tailored Outputs
4.01 Introduction to Generative Models
4.02 Large Language Models Architecture
4.03 Variational Autoencoders (VAEs)
4.04 Generative Adversarial Networks (GANs)
4.05 Attention Mechanisms and Transformers
5.01 LangChain and Workflow Design
5.02 Advanced Prompt Engineering Techniques
5.03 LLM Application Development
5.04 LLM Fine-Tuning and Customization
5.05 Benchmarking and Evaluation of LLM Capabilities
5.06 LangChain for LLM Development
5.07 RAG with LangChain
6.01 Introduction to Agentic AI and Key Characteristics
6.02 LLM Agent Architecture: Perception, Cognitive Engine, and Action Modules
6.03 LangGraph: Nodes, Routing, Orchestration, and Optimization
6.04 AutoGen: Multi-Agent Systems, Customization, and Collaboration
6.05 CrewAI: Agent Teams, Tools, Tasks, and Process Implementation
6.06 MCP Protocol: Standardized Integration, Messaging, and SDKs
6.07 Future Outlook: Enterprise Adoption, Governance, and Security
7.01 Stable Diffusion
7.02 Denoising
7.03 Autoencoders in Generative AI
7.04 Contrastive Learning Techniques
7.05 Shared Embedding Spaces
8.01 Importance of Governance in AI
8.02 Governance Challenges in Generative AI
8.03 Ethical Principles in AI
8.04 Governance Structures and Committees
8.05 Risk Management in AI Projects
8.06 Integrating Governance into the AI Project Lifecycle
8.07 Evolving Regulatory Landscape
8.08 Future Trends in AI Governance
9.01 Hands-On, Industry-Relevant Capstone Project
9.02 Compiling Every Course into a Portfolio-Worthy Project
AGS AI: Microsoft Azure AI Fundamentals – Generative AI
AGS AI: Build a Foundation to Extend Microsoft 365 Copilot
AGS AI: Academic Masterclass
Design a smart virtual assistant to handle HR-related queries efficiently. Utilize Python and OpenAI’s GPT models to deliver accurate, real-time responses.
Create an AI-driven logo generation tool using DALL-E and Gradio. Transform text prompts into unique, eye-catching logos, streamlining the design process.
Develop a dynamic storytelling platform using ChatGPT. Generate engaging, interactive narratives effortlessly, with no coding required.
Nvidya offers comprehensive career support, including:
The application involves three easy steps:
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:
 
                           ““A very simple, nice and easy course.””
“The course perfectly balances theory and practice. The AI-powered projects, especially the HR assistant and storytelling app, allowed me to gain confidence in building real AI solutions.”
““Transformative and hands-on!””
“This course gave me practical exposure to AI applications like ChatGPT and DALL-E, and the projects helped me understand how to implement AI in real-world scenarios. It’s truly a career-changing experience.”
 
                                    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.
The anticipated time to complete the program is 4 months.
The course is led by industry experts and experienced professionals from the data and AI domain. Faculty undergo a thorough selection process, including profile assessment, technical examination, and a training presentation. Masterclasses may also be delivered by faculty and alumni from premier institutes such as IITM and other IITs.
Upon completion, you will receive a joint certificate of completion from IITM Pravartak Technologies Foundation and Nvidya.
To join the Advanced Executive Program, you should meet the following requirements:
Generative AI is transformative across multiple industries, including entertainment, media, healthcare, fashion, gaming, and content creation. It enables tasks like generating virtual characters, synthesizing medical images, and creating personalized designs, thereby enhancing creativity, efficiency, and innovation.
Future trends in RAG (Retrieval-Augmented Generation) include improved algorithms for more accurate information retrieval, enhanced neural networks—especially transformer architectures—for faster and more reliable data processing, and increased efficiency in pattern recognition and contextually relevant responses. In the course, you will explore these trends and their applications in real-world AI systems.
Proficiency in Microsoft Copilot equips you with AI-powered skills to enhance productivity, automate tasks, optimize workflows, and make data-driven decisions, which are highly valued across industries, boosting your career growth and opportunities.
RAG offers several benefits for business intelligence, including access to vast information by combining retrieval-based and generative models, real-time information for decisions based on the latest data, contextual understanding by retrieving relevant documents before generating responses, better query comprehension, tailored insights specific to business needs, and enhanced functionality when integrated with existing BI tools.
Yes. You are eligible for one complimentary cohort change within the first 60 days of enrollment. Additional cohort changes can be requested by paying the applicable fee. For assistance, contact the support team.
Yes. If your access expires and you have pending assignments or projects, you can request an extension of either 30 days or 3 months by paying a nominal fee. During this period, you can access recorded sessions and complete remaining requirements.
Yes, Nvidya’s Applied AI course is offered through a third-party collaboration with IITM Pravartak Technologies, a renowned startup 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.