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LinkedIn Learning

Develop Your Skills with Large Language Models

via LinkedIn Learning Path

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Overview

Large language models (LLMs) are the foundations of generative AI and why it has become so popular. Millions of learners interact with advanced natural language processing models on a daily basis, and it's more important than ever they understand how to leverage LLMs in their work. This learning path opens up the "black box" of AI, teaching learners how LLMs work, how they can start working with them today, and how to build AI-powered products.
  • Gain a deep understanding of how these models work.
  • Learn how to interact with LLMs through prompt engineering.
  • Gain hands-on experience working with large language models.

Syllabus

Courses under this program:
Course 1: Introduction to Large Language Models
-Learn about large language models—what they are, what they can do, and how they work.

Course 2: Generative AI: Introduction to Large Language Models
-Gain a foundational knowledge of how large language models and other Generative AI models work.

Course 3: Introduction to Prompt Engineering for Generative AI
-Start exploring large language models in the modern NLP landscape and get hands-on practice using no-code or low-code interfaces to test out these technologies.

Course 4: Generative AI: Working with Large Language Models
-Explore a user-friendly approach to working with transformers and large language models for natural language processing.

Course 5: Introduction to Generative AI with GPT
-Learn about the role of artificial intelligence in business, with particular emphasis on the new GPT-4 technology released by Open AI.

Course 6: GPT-4 Foundations: Building AI-Powered Apps
-Learn the basics of prompting and connecting prompts together to build a small application with GPT-4.

Course 7: TensorFlow: Working with NLP
-Learn about using transformers in natural language processing with TensorFlow.

Course 8: AI Text Summarization with Hugging Face
-Learn how to use text summarization with the Hugging Face AI.

Course 9: Applied AI: Building NLP Apps with Hugging Face Transformers
-Learn how to build natural language processing (NLP) applications with pretrained transformers in Hugging Face, the popular machine learning platform.

Course 10: Large Language Models: Text Classification for NLP using BERT
-Learn about transformers, the go-to architecture for NLP and computer vision tasks.

Courses

Taught by

Jonathan A. Fernandes, Frederick Nwanganga, Ronnie Sheer, Jonathan Reichental, Ph.D., Denys Linkov, Janani Ravi and Kumaran Ponnambalam

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