Alfredo Deza

Senior Content Engineer
Duke University

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Beginning Llamafile for Local Large Language Models (LLMs) (Coursera) Coursera
Duke University

Beginning Llamafile for Local Large Language Models (LLMs) (Coursera)

CS: Software Engineering

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.

Sep 21st 2026
1 Week
Machine Learning APIs C Programming
Details
End to End LLMs with Azure (Coursera) Coursera
Duke University

End to End LLMs with Azure (Coursera)

Data Science

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.

Sep 21st 2026
1 Week
Azure Coursera Plus Large Language Models
Details
Scripting with Python and SQL for Data Engineering (edX) EdX
AI (Pragmatic AI Labs)

Scripting with Python and SQL for Data Engineering (edX)

Computer Science

Dive into the world of data engineering with this comprehensive course on Scripting with Python and SQL. Learn how to efficiently extract, transform, and load (ETL) data using Python and SQL scripting techniques. This course is part of a broader specialization designed to equip you with essential skills in Python, Bash, and SQL for effective data handling.

Self Paced
Self-Paced
Python SQL Scripting
Details
Beginning Llamafile (edX) EdX
AI (Pragmatic AI Labs)

Beginning Llamafile (edX)

Computer Science

Embark on a journey to transform how you interact with powerful language models by learning to deploy them as practical, scalable web APIs using llama.cpp servers. Our course will guide you through setting up private and efficient API services that keep your data safe from cloud latency and fees. Learn the ins and outs of local processing and gain the skills needed to harness the full potential of AI without compromising on privacy or performance.

Self Paced
Self-Paced
Llamafile Generative AI Fundamentals Professional Certificate Cosmopolitan Libc
Details
End to End LLM with Azure (edX) EdX
AI (Pragmatic AI Labs)

End to End LLM with Azure (edX)

Computer Science

Dive into the world of Large Language Models (LLMs) and harness their power with 'End to End LLM with Azure'. This course will guide you through building and deploying sophisticated language model applications using Microsoft's Azure platform. From architectural patterns to automation, this course covers everything you need to know to effectively leverage LLMs in your projects.

Self Paced
Self-Paced
Azure Large Language Models LLMs
Details
Small Language Models (edX) EdX
AI (Pragmatic AI Labs)

Small Language Models (edX)

Computer Science

Explore the world of Small Language Models (SLMs) and learn how to create powerful, privacy-preserving NLP solutions. This course will guide you through developing effective applications for chatbots, text classification, summarization, and more, using cutting-edge techniques in natural language processing.

Self Paced
Self-Paced
Artificial Intelligence NLP AI
Details
Introduction to LLM Vulnerabilities (edX) EdX
AI (Pragmatic AI Labs)

Introduction to LLM Vulnerabilities (edX)

Computer Science

Dive into the world of Large Language Models (LLMs) and understand the critical security risks they pose. This course will equip you with the knowledge and skills needed to identify potential vulnerabilities in LLMs, such as model theft, prompt injection attacks, and sensitive information disclosure. By the end of this course, you'll be able to implement effective strategies to protect your applications and ensure their safety.

Self Paced
Self-Paced
Security Vulnerability Attack Vectors
Details
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