31 Courses on Artificial Intelligence by DeepLearning.AI
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Generative AI with Large Language Models
Gain foundational knowledge, practical skills, and a functional understanding of how generative AI works
Generative AI for Everyone
Learn how generative AI works, and how to use it in your life and at work
Building Generative AI Applications with Gradio
Build your own image generation, image captioning, and text-summarization apps.
Evaluating and Debugging Generative AI Models Using Weights and Biases
Learn to evaluate programs utilizing LLMs as well as generative image models using platform-independent tools.
Supervised Machine Learning: Regression and Classification
Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn.
Machine Learning in Production
Design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment requirements.
Linear Algebra for Machine Learning and Data Science
Express certain types of matrix operations as linear transformation, and apply concepts of eigenvalues and eigenvectors to machine learning problems.
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Learn best practices for using TensorFlow, a popular open-source machine learning framework.
Structuring Machine Learning Projects
Learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader.
ChatGPT Prompt Engineering for Developers
Learn prompt engineering best practices for application development.