Duke University
Coursera
Dive into the world of Large Language Models (LLMs) with our comprehensive Open Source LLMOps Solutions course. Gain hands-on experience deploying your own solutions using state-of-the-art open source models. This course is designed to equip you with the skills needed to build and implement sophisticated AI applications.
Coursera
Dive into the world of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) with our expert-led course. Designed for professionals looking to harness the power of AI, this course will guide you through deploying and managing LLMs on AWS using services like Amazon Bedrock. Gain practical skills in building scalable and efficient AI solutions.
Coursera
Dive into the world of local large language models with our Foundations of Local Large Language Models course. Gain hands-on experience in setting up a local environment, using cutting-edge tooling, and running various LLMs to unlock their full potential for your projects. Perfect for enthusiasts and professionals looking to harness the power of AI-driven natural language processing.
Coursera
Embark on a journey into the world of large language models with our 'Beginning Llamafile for Local Large Language Models (LLMs)' course. This Coursera offering is designed for those who want to harness the capabilities of their local LLMs by transforming them into practical and scalable web APIs. You'll dive deep into using llama.cpp, a versatile example server that allows you to expose your model through REST API endpoints, enabling tasks such as text generation, tokenization, and embedding extraction.
Coursera
Dive into a comprehensive learning experience designed to empower you with the skills needed to build and deploy Large Language Model (LLM) applications on Microsoft Azure. This course is structured to guide you from setting up your development environment to deploying sophisticated models using Azure's cutting-edge services, including Azure OpenAI Service and Azure Search. You'll explore innovative architectural patterns like Retrieval-Augmented Generation (RAG), enabling you to create more effective and efficient language-based applications.
Coursera
Dive into the world of cloud computing with our specialized course on Cloud Virtualization, Containers, and APIs. This course is designed for those looking to master the essential building blocks of cloud technology, including virtual machines, containers, and API integration. Gain insights into designing efficient Cloud-native systems, developing robust Microservices using Flask and Kubernetes, and implementing effective operational strategies.
Coursera
Dive into the world of Cloud Data Engineering with this specialized course designed for those looking to apply advanced data handling techniques at scale. This course builds upon foundational cloud computing knowledge, equipping you with practical skills in developing and deploying data engineering applications on the cloud.
Coursera
Embark on an essential journey into data engineering by mastering Python and Pandas in this introductory course. Designed for beginners and professionals alike, you'll learn to create a version-controlled Python workspace, leverage third-party libraries, and conduct advanced data analysis and manipulation with ease using Python and the versatile Pandas library.
Coursera
Unlock the power of Python and SQL to become a proficient data engineer. This course will guide you through essential scripting techniques, useful data structures, and database connectivity. Perfect for those looking to enhance their skills in handling and manipulating large datasets.