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: 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
★ 4.3 (16) · Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Natural Language Processing, Model Evaluation, Model Optimization, Embeddings, Text Mining, Logistic Regression, Model Training, Statistical Modeling, Machine Learning Methods, Markov Model, Classification Algorithms, Supervised Learning
★ 3.9 (18) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Artificial Neural Networks, Model Training, Machine Learning, Machine Learning Algorithms, Python Programming, Algorithms, Model Evaluation
Intermediate · 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)
★ 4.7 (35) · Beginner · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Classification Algorithms, Autoencoders, Predictive Modeling, Model Optimization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, OpenAI API, LangChain, ChatGPT, OpenAI, Generative AI, Multimodal Prompts, LLM Application, AI powered creativity, Generative Model Architectures, Large Language Modeling, AI Workflows, Application Programming Interface (API), Application Development, Image Quality
Intermediate · Course · 3 - 6 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

Dartmouth College
Skills you'll gain: Predictive Modeling, Analytics, Predictive Analytics, Advanced Analytics, Scikit Learn (Machine Learning Library), Model Evaluation, Digital Transformation, Business Analytics, Model Training, Ethical Standards And Conduct, Data Ethics, Data-Driven Decision-Making, Feature Engineering, Applied Machine Learning, Statistical Machine Learning, Statistical Modeling, Data Strategy, Regression Analysis, Supervised Learning, Model Optimization
Intermediate · Course · 1 - 3 Months

Simplilearn
Skills you'll gain: Autoencoders, Multimodal Prompts, Generative AI, Embeddings, Generative Model Architectures, Prompt Engineering, Image Quality, Unsupervised Learning, Model Training, Computer Vision, Deep Learning
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Convolutional Neural Networks, Image Analysis, Transfer Learning, Fine-tuning, Deep Learning, Computer Vision, Data Storytelling, Applied Machine Learning, Technical Communication, Model Optimization, Geospatial Information and Technology, Model Training, Machine Learning, Model Deployment, Heat Maps, Data Pipelines, Machine Learning Algorithms, Augmented Reality
Beginner · Course · 1 - 4 Weeks

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