Last Updated : 18 Apr 2025

Generative AI Explained (NVIDIA) Course Overview

Generative AI Explained (NVIDIA) Course Overview

Unlock the power of Generative AI with our comprehensive course designed to introduce you to this groundbreaking technology. In this course, you'll explore how neural networks identify patterns and create new content based on diverse inputs. By the end of the course, you'll have a solid understanding of Generative AI concepts, applications, and the challenges and opportunities in this dynamic field.

Learning Objectives:
- Understand Generative AI and its operational mechanics
- Discover various real-world Generative AI applications
- Recognize the challenges and opportunities associated with Generative AI

Join us to gain practical insights and enhance your ability to leverage tools built on Generative AI technology.

5.0

Intermediate

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Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

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1-on-1 Training

Schedule personalized sessions based upon your availability.

Learn More

Customized Training

Learning without limits. Create custom courses that fit your exact needs, from blended topics to brand-new content.

Learn More

Happiness Guaranteed

Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

Learn More

Destination Training

Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

Learn More

Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

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Course Prerequisites

Prerequisites for the Generative AI Explained (NVIDIA) Course

To ensure a smooth learning experience and to maximize the benefits of the Generative AI Explained (NVIDIA) course, we recommend that students have the following foundational knowledge:

Basic Understanding of AI Concepts: Familiarity with fundamental artificial intelligence concepts and terminologies.
Interest in Generative AI Applications: Enthusiasm to explore and understand various applications of generative AI technologies.
General Technical Aptitude: Comfort with general technical content and an eagerness to learn new technologies and concepts.

These prerequisites are designed to help you grasp the course material more effectively without feeling overwhelmed. Even if you are new to the field, a proactive attitude and willingness to learn will go a long way.

Target Audience for Generative AI Explained (NVIDIA)

Introduction
Generative AI Explained (NVIDIA) is a no-coding course to understand Generative AI concepts, applications, challenges, and opportunities. Ideal for professionals seeking foundational knowledge in AI.

Job Roles and Audience

Data Scientists
AI Enthusiasts
Tech Entrepreneurs
Product Managers
Business Analysts
IT Professionals
Digital Transformation Leaders
Financial Analysts
Marketing Professionals
Academic Researchers
Software Developers
Innovation Strategists
Engineering Students
Content Creators

Learning Objectives - What you will Learn in this Generative AI Explained (NVIDIA)?

Generative AI Explained (NVIDIA) Course Learning Objectives and Outcomes

Introduction: The Generative AI Explained (NVIDIA) course provides a foundational understanding of Generative AI, covering key concepts, applications, and the challenges and opportunities in this dynamic field.

Learning Objectives and Outcomes:

Define Generative AI and explain its underlying mechanisms.
Describe various applications of Generative AI.
Identify and analyze the challenges and opportunities within the field of Generative AI.
Develop a basic understanding of how neural networks generate new content by identifying patterns in existing data.
Gain insights into state-of-the-art Generative AI tools and technologies.
Understand ethical considerations and potential impacts of Generative AI on society.
Explore case studies showcasing practical applications of Generative AI in different industries.
Learn about recent advancements and future trends in Generative AI technology.

By the end of this course, students will have acquired a comprehensive understanding of Generative AI and be better positioned to leverage its tools and technologies effectively.