Generative AI has rapidly entered the mainstream, showcasing impressive advancements and creating opportunities for those eager to delve into this burgeoning field. For individuals looking to upskill and stay updated with these advancements, high-quality, free learning resources are available, such as those offered by NVIDIA’s Deep Learning Institute.
Generative AI Explained
This course is a beginner-friendly introduction to the basics of generative AI, ideal for those just starting. Participants will explore the workings of generative AI, its applications, and the challenges and opportunities it presents. By the end of this course, learners will understand the fundamentals of generative AI and how to leverage its capabilities.
Link:Â Generative AI Explained
Building a Brain in 10 Minutes
Before diving into large language models (LLMs), it’s crucial to understand the mechanics of neural networks. “Building a Brain in 10 Minutes” offers an introductory look at neural network architecture inspired by biological processes. This course is designed for those familiar with Python programming and regression models, covering the mathematics behind neurons and how neural networks process data.
Link:Â Building a Brain in 10 Minutes
Augment Your LLMs Using Retrieval Augmented Generation
The Retrieval Augmented Generation (RAG) technique is essential for those looking to develop applications using LLMs. This course details constructing an RAG pipeline incorporating information retrieval and response generation, which is essential for building domain-specific LLM applications and reducing errors like hallucinations.
Link:Â Augment Your LLMs Using Retrieval Augmented Generation
Building RAG Agents with LLMs
Building on the fundamentals of RAG, this course allows learners to explore the creation of comprehensive LLM systems using RAG. It is suited for those with intermediate Python skills and familiarity with PyTorch. The course includes practical applications using tools like Gradio, LangChain, and LangServe. It covers the integration of embeddings, models, and vector stores for retrieval.
Link:Â Building RAG Agents with LLMs
These courses from NVIDIA’s Deep Learning Institute are tailored to equip learners with the necessary skills to harness the power of generative AI and create impactful solutions in various domains.
