Deep Learning courses 745

Microsoft

AI and Machine Learning Algorithms and Techniques

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…

IBM

Build a Custom Translator with LSTMs in PyTorch

A short hands-on project: Generative AI, Gradio, Lstm.

MITx

Deep Learning and Generative Models: Neural Network Foundations with PyTorch

Learn the mathematical and computational foundations of deep learning by building, training, and evaluating multilayer perceptrons in PyTorch. Part one in a five-part series, this online course in the Deep Learning and Generative Models program develops the experimental discipline needed to compare…

MITx

Deep Learning and Generative Models: Training, Inference, and Model Evaluation

Learn how deep neural networks are trained, adapted, deployed, and evaluated. Part two in a five-part series, this online course in the Deep Learning and Generative Models program connects core optimization methods with practical approaches to transfer learning, efficient inference, and rigorous mo…

MITx

Deep Learning and Generative Models: Neural Network Architectures

Learn how neural network architectures handle different types of data and how to evaluate their performance. Part three in a five-part series, this online course in the Deep Learning and Generative Models program covers convolutional neural networks, transformers, graph neural networks, and the geo…

MITx

Deep Learning and Generative Models: Representations and Self-Supervised Learning

Learn how neural networks form internal representations, how those representations transfer to new tasks, and how useful features can be learned without labels. Part four in a five-part series, this online course in the Deep Learning and Generative Models program covers representation analysis, aut…

MITx

Deep Learning and Generative Models: Diffusion and Autoregressive Models

Learn how deep generative models represent, learn, and sample from probability distributions. Part five in a five-part series, this online course in the Deep Learning and Generative Models program covers variational autoencoders, generative adversarial networks, diffusion models, flow matching, and…

IBM

Fine Tune a Vision Model for Image Classification with LoRA

A short hands-on project: Computer Vision, Fine-tuning, PyTorch.

IBM

Building a Physics-Informed Neural Network for realworld app

A short hands-on project: Machine Learning.

IBM

Fine-Tune Transformers for Sentiment Analysis in HuggingFace

A short hands-on project: Fine-tuning, HuggingFace, NLP.

IBM

Mastering Generative AI: Model Foundations and NLP

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.

freeCodeCamp

Deep Learning with PyTorch Live Course

MITx

Computational Data Science in Physics II

This course provides realistic, contemporary examples of how computational methods apply to physics research. Topics include hypothesis testing, semi-parameteric methods, and deep learning. In the Final Project, you will analyze LHC data to measure properties of the W boson and Z boson.

freeCodeCamp

CUDA Programming Course – High-Performance Computing with GPUs

Lean how to program with Nvidia CUDA and leverage GPUs for high-performance computing and deep learning. Code: 💻 https://github.com/Infatoshi/cuda-course 💻 https://github.com/Infatoshi/mnist-cuda Elliot on X - https://x.com/elliotarledge YouTube - https://www.youtube.com/@elliotarledge LinkedIn - h…

Google Cloud

Create Image Captioning Models

This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own im…

freeCodeCamp

Understanding AI from Scratch – Neural Networks Course

Understanding AI from Scratch – Neuaral Networks Without Libraries Course Learn the fundamentals of Neural Networks by building one from scratch without libraries. You'll manually tweak network parameters to teach a car how to drive within a specially crafted playground. Dr. Radu teaches computer s…

freeCodeCamp

Deep Learning Interview Prep Course

Prepare for a job interview about deep learning. This course covers 50 common interview questions related to deep learning and gives detailed explanations. ✏️ Course created by Tatev Karen Aslanyan. ✏️ Expanded course with 100 questions: https://academy.lunartech.ai/product/deep-learning-interview-…

IBM

Fine-tune a transformer-based neural network with PyTorch

A short hands-on project: Artificial Intelligence, Deep Learning, Generative AI.

IBM

Mastering Generative AI: Advanced Fine-Tuning for LLMs

Build advanced, job-ready skills in fine-tuning using Hugging Face, reinforcement learning using proximal preference optimization (PPO), and optimal solutions for direct preference optimization (DPO).

IBM

Parameter efficient fine-tuning (PEFT): Adapters in PyTorch

A short hands-on project: Artificial Intelligence, Deep Learning, Generative AI.