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: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Model Deployment, AI Workflows, Artificial Intelligence, Applied Machine Learning, Machine Learning, Model Evaluation, Feature Engineering, Natural Language Processing, Supervised Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Lesson Planning, Instructional Strategies, Pedagogy, Student-Centred Learning, Community Development, Instructional Design, Learning Strategies, Curriculum Development, Technology Strategies, Social Impact, Sustainable Development
Beginner · Course · 1 - 4 Weeks

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Feature Engineering, Data Ethics, Data Analysis, Machine Learning Algorithms, Analytics, Exploratory Data Analysis, Data Preprocessing, Data Cleansing, Unsupervised Learning, Data Science, NumPy, Data Manipulation, Data Transformation, Pandas (Python Package), Classification Algorithms, Dimensionality Reduction, Data Structures, Regression Analysis, Python Programming, Data Visualization
Intermediate · Course · 1 - 3 Months

Universitat Politècnica de València
Skills you'll gain: Pandas (Python Package), Matplotlib, Seaborn, Data Visualization, Data Visualization Software, Time Series Analysis and Forecasting, Statistical Visualization, Box Plots, Statistical Analysis, Exploratory Data Analysis, Data Analysis, Data Manipulation, Scatter Plots, Histogram, Data Structures, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Red Hat Enterprise Linux, Package and Software Management, Network Administration, Cloud Deployment
Beginner · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Retrieval-Augmented Generation, AI Workflows, Model Deployment, Transfer Learning, Application Deployment, Embeddings, Vector Databases, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Embeddings, Transfer Learning, Large Language Modeling, Small Data, Fraud detection, Applied Machine Learning, Model Evaluation, Machine Learning, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours