Convolutional Neural Network courses can help you learn image classification, object detection, and feature extraction techniques. You can build skills in optimizing neural network architectures, implementing data augmentation strategies, and fine-tuning models for specific tasks. Many courses introduce tools like TensorFlow and Keras, that support building and training CNNs, along with methods for evaluating model performance and deploying applications in fields such as computer vision and AI-driven solutions.

Northeastern University
Skills you'll gain: Generative AI, Generative Model Architectures, Multimodal Prompts, Large Language Modeling, Deep Learning, Recurrent Neural Networks (RNNs), Responsible AI, Embeddings, Musical Composition, Music, Autoencoders, Model Training
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Convolutional Neural Networks, Model Training, Artificial Intelligence, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, Performance Tuning, NumPy, Classification Algorithms
★ 4.9 (18) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Machine Learning Methods, Data Science, Artificial Intelligence, Model Optimization, Data Preprocessing, Model Training, Machine Learning, Network Model, Data Manipulation, Model Evaluation
Beginner · Course · 3 - 6 Months

Skills you'll gain: Model Training, Application Development, Predictive Modeling, Model Optimization
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Unsupervised Learning, Responsible AI, Data Ethics, Markov Model
★ 4 (7) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Model Optimization, Model Training, Computer Vision, Deep Learning, Data Preprocessing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Model Optimization, Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Model Training, Deep Learning, Applied Machine Learning, Machine Learning, Calculus
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Model Training, Model Evaluation, Data Preprocessing
Advanced · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Model Deployment, Model Training, Unsupervised Learning
★ 4.5 (26) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Feature Engineering, Model Evaluation
Beginner · Course · 1 - 4 Weeks

Pearson
Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Deep Learning, Tensorflow, Convolutional Neural Networks, LLM Application, Computer Vision, Responsible AI, Generative Model Architectures, Model Training, Generative AI, Data Ethics, Multimodal Prompts, Artificial Intelligence, Network Model
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Model Optimization, Predictive Modeling, Model Training, Machine Learning, Model Evaluation, Data Transformation
Mixed · Course · 1 - 3 Months