Deep learning courses can help you learn neural networks, convolutional networks, and recurrent networks, along with their applications in image recognition and natural language processing. You can build skills in model training, hyperparameter tuning, and performance evaluation, which are crucial for developing effective AI solutions. Many courses introduce tools like TensorFlow and PyTorch, allowing you to implement algorithms and optimize models, making your learning experience hands-on and relevant to current industry practices.

Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning
Intermediate · Course · 3 - 6 Months

Coursera
Skills you'll gain: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Machine Learning, Data Preprocessing, Model Evaluation
Intermediate · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: AI Product Strategy, Artificial Intelligence, Artificial Neural Networks, Digital Transformation, Deep Learning, Technical Management, Machine Learning, Responsible AI, Data Ethics, Data Science
Beginner · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, Regression Analysis, NumPy, Calculus, Applied Mathematics, Probability & Statistics, Artificial Neural Networks, Data Preprocessing, Statistical Analysis, Unsupervised Learning, Advanced Mathematics, Jupyter, Statistics, Machine Learning Algorithms, Algorithms, Python Programming, Machine Learning, Derivatives
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Google Cloud Platform, Big Data, Embeddings, Kubernetes, Machine Learning, CI/CD, Keras (Neural Network Library), Model Deployment, Model Evaluation, Data Preprocessing, Generative AI, Applied Machine Learning, Apache Airflow, Data Migration, Data Cleansing, Data Quality, Cloud Computing
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Matplotlib, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Dartmouth College
Skills you'll gain: Artificial Neural Networks, Probability & Statistics, Bayesian Statistics, Probability Distribution, Deep Learning, Machine Learning, Supervised Learning, Statistical Methods, Data Preprocessing, Model Evaluation
Build toward a degree
Intermediate · Course · 1 - 3 Months

McMaster University
Skills you'll gain: Lifelong Learning, Willingness To Learn, Learning Strategies, Growth Mindedness, Mentorship, Adaptability, Professional Development, Personal Development, Productivity, Professional Networking, Resilience, Stress Management, Curiosity, Cognitive flexibility
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision
Intermediate · Guided Project · Less Than 2 Hours

University of Alberta
Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Markov Model, Algorithms, Probability Distribution
Intermediate · Course · 1 - 3 Months

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