NLP Engineer Path

Complete natural language processing specialization covering transformers, attention mechanisms, and modern NLP techniques.

Comprehensive ML course covering regression, classification, clustering, deep learning, NLP, reinforcement learning.

Text classification, sentiment analysis, topic modeling, text generation with spa Cy, NLTK.

This course delves into natural language processing (NLP), teaching you how to build models for tasks like sentiment analysis and text classification. You'll learn about logistic regression and naive Bayes, and how to represent text as vectors.

An intermediate-level course that builds on exploratory data analysis to lay the foundation for predictive modeling. It covers merging data, handling missing data, and special techniques for textual, audio, and image data.

This course teaches you how to leverage knowledge graphs in Retrieval-Augmented Generation (RAG) applications to enhance Large Language Model (LLM) performance with structured data relationships, advanced querying, and comprehensive information retrieval techniques. You will learn to build a knowledge graph from text documents and use it to improve the output of LL Ms.

This course, part of the Machine Learning Specialization, delves into classification, one of the core areas of machine learning. You'll learn about various classification models, including logistic regression and decision trees, and explore how to handle large-scale classification tasks. The course uses practical case studies like sentiment analysis and loan default prediction to illustrate the concepts.

This course focuses on using attention models in Natural Language Processing. You will learn how to build models that can focus on specific parts of an input sequence to improve performance on tasks like machine translation and text summarization.

Offered by Vanderbilt University, this course teaches how to write effective prompts for large language models like ChatGPT. You'll learn prompt patterns to unlock powerful capabilities and create complex prompt-based applications.

This specialization from Vanderbilt University teaches how to leverage ChatGPT's free AI tools for various professional tasks including planning, project management, writing, data analytics, and marketing. It also covers Anthropic Claude.

This specialization by Vanderbilt University covers prompt engineering from fundamentals to advanced skills. It teaches how to use large language models for various applications, including writing, summarization, and problem-solving, through a series of practical courses.

Natural Language Processing with Deep Learning

A course focused on building Generative AI SaaS applications with tools like ChatGPT, MongoDB, Firebase, and Stripe, with a claim of no coding skills required. It covers building and testing mobile apps using Expo Snack.

This bootcamp on Udemy focuses on the operational aspects of deploying large language models. It covers CI/CD, Docker, Kubernetes, and monitoring for production LLM deployment, which are essential skills for managing and optimizing the cost and performance of LL Ms at scale.

This course focuses on the foundational concepts of LL Ms, specifically tokenization and word embedding models. It includes practical, hands-on exercises for building and training these models using PyTorch.

This course provides a comprehensive, hands-on introduction to machine learning on the Google Cloud Platform, with a specific focus on Vertex AI. Students will learn about various GCP services, including compute, storage, and databases, before diving into machine learning workflows. The curriculum covers building and deploying models using GCP's AutoML for tabular, image, and text data, as well as custom model training and deployment on the AI Platform and Vertex AI. The course is designed to equip learners with the practical skills needed to create and manage machine learning pipelines on Google Cloud.

Modern Natural Language Processing in Python

Learn ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More

A comprehensive guide to over 50 generative AI tools to enhance business productivity and creativity, with a focus on ChatGPT and prompt engineering.

A bestselling bootcamp that teaches practical skills for working professionally with AI, including GPT-4, Midjourney, and Git Hub Copilot. It covers the 'Five Principles of Prompting' and other professional-grade tips and tricks.