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, model evaluation, and ethical considerations in AI applications. Many courses introduce tools such as TensorFlow, PyTorch, and Scikit-learn, that support implementing AI solutions and developing predictive models. By engaging with these topics and tools, you can gain practical experience in creating intelligent systems that address real-world challenges.

Skills you'll gain: AWS SageMaker, AWS CloudFormation, Amazon S3, Serverless Computing, Amazon Web Services, Amazon DynamoDB, Amazon CloudWatch, Cloud Security, Data Security, Amazon Redshift, AWS Kinesis, Data Integration, Cloud Storage, Data Lakes, Data Storage, Business Intelligence Software, Databases, Apache Airflow, Cloud Computing Architecture, Virtual Networking
★ 4.5 (33) · Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Apache Airflow, Tensorflow, MLOps (Machine Learning Operations), Google Cloud Platform, Model Training, Data Pipelines, Applied Machine Learning, Model Deployment, Cloud Computing, Machine Learning
★ 1.3 (7) · Beginner · Project · Less Than 2 Hours

Duke University
Skills you'll gain: Apache Airflow, Vector Databases, Performance Tuning, Scalability, Database Management Systems, Database Management, Data Pipelines, MySQL, Data Import/Export
★ 3.9 (26) · Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Pipelines, Apache Airflow, Data Integration, Cloud Deployment, Extract, Transform, Load, Cloud Computing, Data Infrastructure, Data Processing, Data Warehousing, Data Architecture
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Extract, Transform, Load, Data Pipelines, Apache Airflow, Spatial Data Analysis, GIS Software, Geospatial Information and Technology, Geographic Information Systems, Data Transformation, PostgreSQL, System Monitoring, Continuous Monitoring, Python Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Service Level, AI Orchestration, Data Store, Data Transformation, Change Control, Key Performance Indicators (KPIs)
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Google Cloud Platform, Data Pipelines, Model Deployment, Tensorflow, Continuous Deployment, AI Workflows, Metadata Management, Model Training, Model Optimization, AI Orchestration
Advanced · Course · 1 - 3 Months

Skills you'll gain: Apache Kafka, Apache Airflow, Relational Databases, Data Pipelines, PostgreSQL, Apache Spark, Databases, Data Processing, Real Time Data, SQL, Data Modeling, Data Warehousing, Extract, Transform, Load, Data Quality, Data Transformation, Data Validation, Data Storage Technologies, Workflow Management, Data Analysis, Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Warehousing, Bash (Scripting Language), Extract, Transform, Load, Package and Software Management, Data Pipelines, Linux Commands, SQL, IBM Cognos Analytics, Shell Script, Apache Kafka, Apache Airflow, IBM DB2, Data Transformation, Data Visualization, Dashboard, Dashboard Creation, Star Schema, Database Management, Relational Databases, Stored Procedure
★ 4.6 (25K) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Decision Intelligence, Performance Metric, Python Programming, Version Control
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), Fine-tuning, User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Model Optimization, Data Pipelines, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control
Intermediate · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Model Deployment, LLM Application, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, Apache Airflow, Hugging Face, Amazon Bedrock, Vector Databases, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, MLOps (Machine Learning Operations), Performance Tuning, Prompt Patterns, OpenAI API
★ 4.4 (364) · Beginner · Specialization · 3 - 6 Months