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: Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Natural Language Processing, Deep Learning, Model Training, Artificial Neural Networks, Forecasting, Applied Machine Learning
Beginner · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, AI Personalization, Data Manipulation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Machine Learning Methods, Data Wrangling, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Data Processing, Autoencoders, Data Cleansing, Dimensionality Reduction, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Probability & Statistics, Transfer Learning, NumPy, Matplotlib, Model Training, Model Optimization, Convolutional Neural Networks, Deep Learning, Applied Machine Learning, Statistics, Data Visualization, Keras (Neural Network Library), Statistical Hypothesis Testing, Fine-tuning, Machine Learning Methods, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Optimization, Configuration Management, Image Analysis, Debugging, Data Presentation, Experimentation, Computer Vision, Data Visualization, Deep Learning, Algorithms, Performance Tuning, Tensorflow, Failure Mode And Effects Analysis, Root Cause Analysis, Cost Management, Machine Learning, Performance Analysis
Intermediate · Specialization · 3 - 6 Months

Macquarie University
Skills you'll gain: Fraud detection, Threat Detection, Malware Protection, Cyber Security Assessment, AI Security, Network Security, Machine Learning, Machine Learning Algorithms, Security Management, Data Preprocessing, Unsupervised Learning, Feature Engineering, Deep Learning, Classification Algorithms, Analytical Skills
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Intelligence, Agentic systems, Machine Learning Algorithms, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Decision Intelligence, Markov Model, Algorithms, Programming Principles, Data-Driven Decision-Making, Probability & Statistics
Mixed · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Fine-tuning, Transfer Learning, Model Training, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Data Collection, Software Installation
Beginner · Course · 3 - 6 Months

Fractal Analytics
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Data Preprocessing, AI literacy, Business Intelligence, Data Quality, Analytics, Data Analysis, Business Ethics, Business Analytics, Machine Learning Algorithms, Artificial Neural Networks, Machine Learning, Deep Learning, Data Science, Python Programming, Predictive Modeling, Unsupervised Learning
Beginner · Course · 1 - 3 Months

Macquarie University
Skills you'll gain: Cyber Threat Intelligence, Cyber Security Strategy, Intrusion Detection and Prevention, Cyber Attacks, Cybersecurity, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Threat Modeling, Machine Learning Methods, Python Programming
Intermediate · Course · 1 - 3 Months