5 Free High-Quality Courses to Study Generative AI and Large Language Models
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In today’s rapidly evolving technological landscape, individuals across various fields have recognized the value of Generative AI and Language Model (LLM) courses to enhance their skills and expertise. This blog presents a compilation of high-quality courses that can be explored during this extended weekend, offering a valuable opportunity to learn, upskill, and delve into the fascinating world of Generative AI and LLMs.
Deeplearning.ai
Andrew Ng, Amazon Web Services (AWS), and DeepLearning.AI’s Practical Aspects of LLMs and Deployment
This course offers a comprehensive understanding of generative AI and the key steps involved in the lifecycle of LLM-based generative AI. It covers the transformer architecture, training, fine-tuning, and optimizing models using scaling laws. Participants will learn state-of-the-art methods for training, tuning, inference, and deployment, as well as the challenges and opportunities of generative AI in business. Upon completion, participants receive a Coursera certificate demonstrating their skills in generative AI. Overall, this course provides a comprehensive and practical learning experience for individuals seeking to gain in-depth knowledge and skills in generative AI and LLMs.
Databricks
This course is designed for developers, data scientists, and engineers who want to build LLM-centric applications using the latest frameworks. Participants will learn to solve natural language processing (NLP) problems using Hugging Face, perform complex tasks with LangChain, and explore prompt engineering techniques. Additionally, the course covers data embeddings, vector databases, and fine-tuning LLMs with domain-specific data to enhance performance and cost-efficiency. Participants will evaluate the benefits and drawbacks of proprietary models and consider societal, safety, and ethical considerations related to LLM usage. The course also provides guidance on deploying models at scale, following…
