Artificial intelligence courses can help you learn machine learning algorithms, natural language processing, computer vision, and neural networks. You can build skills in data analysis, predictive modeling, and automating tasks using AI techniques. Many courses introduce tools like TensorFlow, PyTorch, and Scikit-learn, that support implementing AI solutions and developing applications that leverage these advanced technologies.

Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Training, Distributed Computing, Data Pipelines, Performance Tuning, Deep Learning, AI Workflows, Scalability, LLM Application, Memory Management, Hardware Architecture, Machine Learning
Beginner · Course · 1 - 3 Months

Logical Operations
Skills you'll gain: Data Presentation, Geospatial Information and Technology, Geospatial Mapping, Data Visualization Software, Data Visualization, Plot (Graphics), Pivot Tables And Charts, Business Reporting, Graphing, Microsoft Access, Business Intelligence Software, Business Intelligence, Data Analysis Software, Data Analysis, Microsoft Office
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Data Processing, Machine Learning Methods, Data Store, Keras (Neural Network Library), Data Pipelines, Data Transformation, Machine Learning, Data Modeling, Statistical Methods
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Generative AI Agents, LLM Application, Generative AI, AI literacy, Agentic systems, Artificial Intelligence, Natural Language Processing, Google Cloud Platform
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Graph Theory, Network Analysis, Network Model, Social Network Analysis, NoSQL, Data Store, Data Science, Query Languages, Visualization (Computer Graphics), Data Transformation, Big Data, Machine Learning Methods, Python Programming, Spatial Data Analysis, Deep Learning, Machine Learning, Machine Learning Algorithms, Quantum computing
Intermediate · Course · 3 - 6 Months

Coursera
Skills you'll gain: Market Intelligence, Survey Creation, Market Research, Business Research, Data Capture, Research Methodologies, Customer Insights, User Feedback, Target Audience, Qualitative Research, Target Market, Quantitative Research, Data Collection, Case Studies, Digital Marketing Tools, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Splunk, Pivot Tables And Charts, Unstructured Data, Data Visualization Software, Dashboard Creation, Data Modeling, Anomaly Detection, Text Mining, Data Wrangling, Taxonomy, Data Manipulation, Event Monitoring, Continuous Monitoring
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Data Analysis, Applied Machine Learning, Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Financial Forecasting, Forecasting, Applied Machine Learning, Predictive Modeling, Predictive Analytics, Revenue Forecasting, Model Evaluation, Business Analytics, Data-Driven Decision-Making, Business Metrics, Performance Analysis, Regression Analysis, Data Science, Stakeholder Communications, Model Training
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Analytics, Web Analytics, Data-Driven Marketing, Marketing Analytics, Target Audience, Digital Analysis, Marketing Effectiveness, Data Validation, Real Time Data, Trend Analysis, Data Quality, Variance Analysis, Anomaly Detection, Benchmarking
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Data Ethics, AI literacy, Artificial Intelligence, Model Evaluation, Machine Learning Software, Data Integrity, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Model Optimization, Predictive Modeling, Model Training, R Programming, Feature Engineering, Risk Modeling, Statistical Modeling, Regression Analysis, Predictive Analytics, Machine Learning Methods, Supervised Learning, Credit Risk, Performance Metric, Dimensionality Reduction
Mixed · Course · 1 - 4 Weeks