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Learn Language Models online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
University of Michigan
With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials: Overview and Impact introduces learners to large language models and generative AI tools,…
Johns Hopkins University
The course "Generative AI" provides an in-depth exploration of generative AI, focusing on both the theory and practical applications of transformers, large language models, and symbolic AI. By completing the course, learners will gain a comprehensive understanding of how these technologies work and…
DeepLearning.AI
In this course, you'll elevate your software development skills by learning how to leverage AI in collaborative team environments. You'll discover how to use large language models (LLMs) to streamline testing processes, create comprehensive documentation, and manage complex dependencies. By the end…
DeepLearning.AI
In Course 3 of the Natural Language Processing Specialization, you will: a) Train a neural network with word embeddings to perform sentiment analysis of tweets, b) Generate synthetic Shakespeare text using a Gated Recurrent Unit (GRU) language model, c) Train a recurrent neural network to perform n…
This course will help you to code, learn, and get jobs faster than you ever have before! Try the interactive Scrimba version here: https://scrimba.com/learn/promptengineering When it comes to leveraging AI language models, your output is often only as good as your input. In other words, it’s all ab…
Learn to build a complete large language model from scratch using only pure PyTorch. This course takes you through the entire lifecycle, from foundational concepts to advanced alignment techniques. By the end, you'll have the deep, hands-on experience needed to build and customize your own LLMs. ✏️…
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer. This Python course teaches you how to use RAG to combine your own custom data with the power of Large Language Models (LLMs). 💻 Code: https://github.com/langchain-ai/rag-from-scrat…
Alison
What if you could master the tools shaping the future of modern care? This course delivers comprehensive training in AI for healthcare, covering everything from machine learning fundamentals to strategic implementation. You'll master predictive analytics, robotic systems, and large language models…
DeepLearning.AI
Large language models (LLMs) are trained on human-generated text, but additional methods are needed to align an LLM with human values and preferences. Reinforcement Learning from Human Feedback (RLHF) is currently the main method for aligning LLMs with human values and preferences. RLHF is also use…
IBM
Ready to explore the exciting world of generative AI and large language models (LLMs)? This IBM course, part of the Generative AI Engineering Essentials with LLMs Professional Certificate, gives you practical skills to harness AI to transform industries. Designed for data scientists, ML engineers,…
Microsoft
Get started with language models in Azure Databricks
Microsoft
Evaluate language models with Azure Databricks
IBM
Build in-demand, job-ready generative AI architecture and data science skills in two weeks. A basic knowledge of Python and PyTorch and an awareness of machine learning and neural networks would be an advantage, though not strictly required.
Microsoft
This course covers the core algorithms and techniques used in AI and ML, including approaches that use pre-trained large-language models (LLMs). You will explore supervised, unsupervised, and reinforcement learning paradigms, as well as deep learning approaches, including how these operate in pre-t…
Great Learning
Through this free large language models course, you will gain an understanding of how these models work and how they generate human-like language, their abilities and influence in industries. You will learn about the various languages and systems they operate on, some notable examples in the AI spa…
DeepLearning.AI
Generative AI models, like large language models, often exceed the capabilities of consumer-grade hardware and are expensive to run. Compressing models through methods such as quantization makes them more efficient, faster, and accessible. This allows them to run on a wide variety of devices, inclu…
IBM
Gain job-ready skills in generative AI and NLP that employers need. Enhance your resume with in-demand expertise that will help you stand out as an AI engineer, AI developer, or data scientist.
Google Cloud
Learn how to build powerful search applications with LLM APIs for embeddings using Vertex AI Vector Search. Explore vector search concepts, watch practical demos, and apply your skills in a hands-on lab.
Duke University
Learn the fundamentals of large language models (LLMs) and put them into practice by deploying your own solutions based on open source models. By the end of this course, you will be able to leverage state-of-the-art open source LLMs to create AI applications using a code-first approach. You will st…
IBM
Power up your resume with in-demand RAG and LangChain skills employers are looking for. Dive into the world of retrieval augmented generation (RAG), Hugging Face, and LangChain and take your gen AI career up a gear in just 2 weeks!
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