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.

Duke University
Skills you'll gain: Prompt Engineering, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, ChatGPT, OpenAI, Multimodal Prompts, Large Language Modeling, OpenAI API, Hugging Face, Responsible AI, GitHub, Python Programming, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Linear Algebra, Mathematical Software, Numerical Analysis, Machine Learning, Digital Signal Processing, Data Processing, Data Structures, Data Transformation, Algorithms, Data Science
Intermediate · Course · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Scalability, Deep Learning, AI Personalization, Data Mining, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Politecnico di Milano
Skills you'll gain: Artificial Intelligence, Taxonomy, AI Enablement, Computer Vision, Machine Learning, Natural Language Processing, Deep Learning, Robotics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design and Development, UI Components, Prompt Engineering, Web Development Tools, Web Development, Generative AI, Javascript, Software Engineering, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Whizlabs
Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Data Preprocessing, Amazon Web Services, Data Migration, Data Cleansing, Jupyter, Dimensionality Reduction, Machine Learning
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Text Mining, Unstructured Data, Health Informatics, Natural Language Processing, Data Mining, Model Evaluation, Clinical Informatics, Deep Learning, Machine Learning, Medical Terminology, Artificial Neural Networks, Python Programming, Computer Programming, Computer Programming Tools
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Model Evaluation, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Computer Science, Deep Learning, Supervised Learning, Applied Machine Learning, Data Ethics, Recurrent Neural Networks (RNNs), Responsible AI, Convolutional Neural Networks, Data Science, Classification Algorithms
Beginner · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours