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

Skills you'll gain: Amazon Bedrock, Prompt Engineering, Prompt Engineering Tools, Responsible AI, Prompt Patterns, Generative Model Architectures, AI Security, Generative AI, Generative AI Agents, MLOps (Machine Learning Operations), Multimodal Prompts, AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Artificial Intelligence, Machine Learning Methods, Large Language Modeling, AI Workflows, Retrieval-Augmented Generation, Machine Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Salesforce Development, Salesforce, Data Ethics, Artificial Intelligence, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, AI literacy, AI Security, Data Quality, AI Integrations, Predictive Modeling, Customer Relationship Management (CRM) Software, Data Management, Product Automation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Model Training, Model Optimization, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Data Preprocessing, Data Processing, Network Architecture
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, AI Integrations, Tensorflow, Solution Architecture, Model Evaluation, Apache Airflow, Model Optimization, Systems Design, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning
Intermediate · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Generative Model Architectures, Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, AI literacy, AI Integrations, Strategic Decision-Making, Innovation
Intermediate · 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, Model Training, Classification Algorithms, Supervised Learning, Model Evaluation
Mixed · 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

Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Data Ethics, Large Language Modeling, Artificial Intelligence, AI literacy, Machine Learning, Artificial Neural Networks, Deep Learning, Model Training
Beginner · Course · 1 - 3 Months

Skills you'll gain: Image Analysis, Cloud Deployment, Tensorflow, Amazon Web Services, Convolutional Neural Networks, Model Deployment, Application Development, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Computer Vision, Model Training, Front-End Web Development, Data Preprocessing, Python Programming
Mixed · Course · 1 - 4 Weeks

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: 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