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.

O.P. Jindal Global University
Skills you'll gain: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis
Build toward a degree
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Statistical Modeling, Data Preprocessing
Intermediate · Course · 1 - 3 Months
Google Cloud
Skills you'll gain: Data Ethics, Google Cloud Platform, Applied Machine Learning, Image Analysis, Responsible AI, Machine Learning, Model Evaluation, Data Strategy, Data Governance, AI Enablement, Innovation, Feasibility Studies, Business Analysis, Model Deployment
Beginner · Course · 1 - 3 Months

Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Model Evaluation, Data Literacy, No-Code Development, Business Analytics, Data Science, Business Analysis, Model Deployment, Applied Machine Learning, Data Ethics, Data Capture, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization
Beginner · Specialization · 1 - 3 Months

Multiple educators
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Presentation, Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Preprocessing, Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), JUnit, Decision Tree Learning, Build Tools, Performance Tuning, Classification And Regression Tree (CART), Java, Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Machine Learning, Object Oriented Programming (OOP), Apache
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Design Research, Persona (User Experience), User Interface and User Experience (UI/UX) Design, Design Software, AI Workflows, User Interface (UI) Design, Brainstorming, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Human Centered Design, User Story, Wireframing, Deep Learning, Ideation
Beginner · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Machine Learning, Predictive Modeling, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric
Intermediate · Course · 1 - 3 Months