Neural networks courses can help you learn the basics of architecture design, backpropagation, activation functions, and optimization techniques. You can build skills in training models, tuning hyperparameters, and evaluating performance metrics. Many courses introduce tools like TensorFlow and PyTorch, that support implementing neural networks in practical applications such as image recognition, natural language processing, and predictive analytics.

Skills you'll gain: LLM Application, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Fine-tuning, Model Training
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Applied Machine Learning, Feature Engineering, Deep Learning, Machine Learning Algorithms, Matplotlib, Jupyter, Python Programming, Data Wrangling, Data Processing, NumPy, Data Cleansing, Model Training, Data Manipulation, Data Transformation, Artificial Neural Networks, Seaborn
Mixed · Course · 1 - 3 Months

John Wiley & Sons
Skills you'll gain: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Science, Data Analysis, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms
Beginner · Specialization · 1 - 3 Months

Northeastern University
Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Machine Learning Methods, Generative Model Architectures, Data Preprocessing, Deep Learning, Markov Model, Model Optimization, Model Training
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Unsupervised Learning, Model Training, Machine Learning Methods, Dimensionality Reduction, Data Preprocessing, Statistical Machine Learning, Python Programming, Model Optimization, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Hugging Face, Large Language Modeling, Recurrent Neural Networks (RNNs), Embeddings, Python Programming, Fine-tuning, Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Systems Architecture, Model Evaluation, Feature Engineering, AI Integrations, Image Analysis, Model Training, Model Deployment, Extract, Transform, Load, Systems Design, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Apache Spark, Natural Language Processing, Pandas (Python Package), Cloud Deployment, Machine Learning, Computer Vision, Computational Thinking
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: AI Enablement, AI Product Strategy, Market Research, Financial Forecasting, AI Personalization, Strategic Thinking, Business Solutions, Market Analysis, Market Data, LLM Application, Generative AI, Supply Chain Planning, Strategic Decision-Making, Supply Chain Management, Digital Transformation, Innovation, AI Integrations, Forecasting, Customer Support, Large Language Modeling
★ 4 (13) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Model Evaluation, Model Training, Computer Vision, Applied Machine Learning, Model Optimization, Plot (Graphics), Machine Learning, Python Programming, Data Science
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Statistical Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Forecasting, Data Mining, Data Preprocessing, Model Optimization, Data Analysis, Model Evaluation, Statistical Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Data Preprocessing, Deep Learning, Artificial Neural Networks, Embeddings, Model Deployment, Application Deployment, Project Implementation, Model Training, Classification Algorithms, Supervised Learning, Model Evaluation
Mixed · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: Predictive Modeling, Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Advanced Analytics, Analytics, Machine Learning Methods, Applied Machine Learning, Business Analysis, Solution Design, Machine Learning, Brainstorming, Design Thinking, Analysis, Ideation, Deep Learning, Classification Algorithms
Beginner · Course · 1 - 3 Months