Generative AI Made Easy: Top 5 Self-Paced NVIDIA Courses

In this era of digitalisation, the Generative AI is becoming the most adaptable technology in various industries such as content creation, healthcare, finance, gaming, and more. To provide Generative AI courses, tech giant NVIDIA offers various self-paced AI courses through its NVIDIA Deep Learning Institute (DLI). NVIDIA AI learning made it easy for learners to get trained in some of the top new-age technologies that will add an edge to their career growth.

This Story also Contains

1. Why Choose NVIDIA for Generative AI Learning?
2. Top 5 Self-Paced NVIDIA Generative AI Courses
3. Scope of NVIDIA AI Courses
4. How to Apply for NVIDIA Courses?
5. The Future of Generative AI Education

NVIDIA courses are specially designed for those individuals who are looking for self-paced training and organisations wanting to bring new skills to their workforce. NVIDIA DLI courses are offered in six different areas, which include Accelerated Computing, Data Science, Deep Learning, Generative AI/LLM, Graphics and Simulation, and Infrastructure. In this article, read in detail about NVIDIA AI essentials to excel at the technology.

Also Read: Online Artificial Intelligence Courses & Certifications

Why Choose NVIDIA for Generative AI Learning?

NVIDIA is known for being at the forefront of AI advancements, delivering tools, frameworks, and resources that power innovation. By pursuing an NVIDIA AI course, students will be able to gain:

• Access to industry-relevant content created by AI experts
• Hands-on experience with NVIDIA AI tools, such as NVIDIA GPUs and platforms
• NVIDIA courses are self-paced, which provides flexibility to learners along with their working schedule
• Globally recognised certifications to boost career opportunities

Top 5 Self-Paced NVIDIA Generative AI Courses

NVIDIA offers various courses under the Generative AI/LLM category, which allows learners to get in-depth understanding about the usage and implementation of Generative AI in their work. Here, in brief, we will discuss the top 5 NVIDIA DLI AI courses that students can choose from.

1. Generative AI Explained

Generative AI Explained is a foundational course for beginners by NVIDIA. This foundational course by NVIDIA gives a comprehensive overview of the Generative AI concepts and applications, as well as the challenges and opportunities in this exciting field. This free NVIDIA course with a total duration of two hours is suitable for the freshers and someone who is new to the Generative AI.

Course Outline

• Define Generative AI and explain how Generative AI works
• Describe various Generative AI applications
• Explain the challenges and opportunities in Generative AI

2. Building Transformer-Based Natural Language Processing Models

One of the top NVIDIA courses is Building Transformer-Based Natural Language Processing Models, which focuses on application and implementation of Large Language Models (LLMs), or Transformers, to manipulate, analyse, and generate text-based data. This is a beginner-level course by NVIDIA with a total duration of six hours. Candidates applying for this course must have a basic understanding of language modelling and transformers and need to pay the course fee of USD 30. Developers, Data Scientists, and Researchers looking to deepen their expertise in NLP can opt for this course.

Course Outline

• Describe how transformers are used as the basic building blocks of modern LLMs for NLP applications.
• Understand how Transformer-based LLMs can be used to manipulate, analyse, and generate text-based data.
• Leverage pre-trained, modern LLMs to solve various NLP tasks such as token classification, text classification, summarisation, and question answering.

3. Generative AI with Diffusion Models

The NVIDIA course on Generative AI with Diffusion Models focuses on providing in-depth knowledge on denoising diffusion models, which are a popular choice for text-to-image pipelines. This is an eight-hour duration course and candidates need to pay the course fee of USD 90. Candidates applying for NVIDIA Generative AI with Diffusion Models must have familiarity with a Deep Learning framework such as TensorFlow, PyTorch, or Keras.

Topics Covered under NVIDIA Generative AI with Diffusion Models

• U-Nets
• Diffusion
• CLIP
• Text-to-image Models

4. Prompt Engineering with LLaMA-2

The NVIDIA Prompt Engineering with LLaMA-2 course covers the duration of three hours and focuses on the robust prompt engineering toolkit and students will be able to interact with and prompt engineer LLaMA-2 models to analyse documents, generate text, and be an AI assistant. Prompt Engineering with LLaMA-2 course topic covers the areas of LLaMA-2 and HuggingFace. This is a beginner-level course primarily intended for Python developers who have some familiarity with interacting with large language models, such as using ChatGPT.

Course Outline

• Iterative Prompt Development
• Star Bikes Product Review Analyst
• Star Bikes Marketing Copy Generator
• Random Personas
• Chatbot
• Star Bikes AI Assistant

5. Synthetic Tabular Data Generation Using Transformers

This is a beginner-level course designed for Data Scientists who have a basic understanding of Machine Learning and Deep Learning concepts and pipelines, along with language modelling and transformers. With a total duration of four hours, this NVIDIA course focuses on use of Transformers for synthetic tabular data generation. Upon completion, you will have a basic understanding of how to generate synthetic tabular data for downstream predictive tasks.

Course Outline

• Learn how synthetic data can improve model performance.
• Learn to use transformers for synthetic data generation.
• Go through the end-to-end development workflow for generating synthetic data using Transformers, including data pre-processing, model pre-training, fine-tuning, inference, and evaluation.
• Upon completion, you will have a basic understanding of how to use transformer-based models to generate synthetic tabular data for downstream predictive tasks.

Scope of NVIDIA AI Courses

With the increase in the adaptation of Generative AI in industries, the demand for AI professionals is rising. By pursuing an NVIDIA AI course, learners will have opportunities in various job roles, such as:

• AI Developer
• Machine Learning Engineer
• Data Scientist
• Computer Vision Specialist
• AI Researcher

With NVIDIA’s tools and certifications, anyone can position themselves for success in sectors like IT, healthcare, retail, manufacturing, and autonomous systems.

How to Apply for NVIDIA Courses?

Step 1: Visit the NVIDIA official website - developer.nvidia.com

Step 2: Click on the tab ‘Training’ available on the homepage.

Step 3: Register for the course that matches your learning goals.

Step 4: Start learning at your own pace and complete the hands-on exercises.

Step 5: Get the NVIDIA certification after the completion of course

The Future of Generative AI Education

As generative AI continues to evolve, various platforms are offering Generative AI courses like NVIDIA AI Essentials, which focus on emerging technologies such as multimodal models, reinforcement learning, and AI ethics. Additionally, real-time collaboration between academia and industry will ensure these courses remain relevant to the job market and add an edge for the working professionals.