Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

Google Cloud
Skills you'll gain: Google Gemini, Gemini, AI Security, Cloud Deployment, Google Cloud Platform, Kubernetes, Big Data, Software Development Life Cycle, Systems Development Life Cycle, Devops Tools, Cloud Development, Cloud Security, Development Testing, Virtual Networking, Application Deployment, Marketing Analytics, DevOps, Generative AI, Application Development, Security Engineering
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Transfer Learning, Fine-tuning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Model Training, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Apache Airflow, Data Governance, Data Management, Apache Spark, PySpark, Databricks, Record Keeping
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Benchmarking, Decision Intelligence, Resource Utilization, Cost Estimation, Resource Consumption Accounting, Memory Management, Run Chart, Analysis, Cost Management
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: AI Personalization, Generative AI, AI powered creativity, Education Software and Technology, AI literacy, Instructional Design, AI Integrations, Design Strategies, Content Creation, Emerging Technologies, Professional Development
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, MLOps (Machine Learning Operations), Software Visualization, Dashboard Creation, Grafana, Code Reusability, Performance Metric, Data Pipelines, Performance Analysis, Collaborative Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Databricks, PySpark, Apache Spark, Data Lakes, Data Pipelines, Data Processing, Data Warehousing, Distributed Computing, Data Architecture, JSON, Data Import/Export, Applied Machine Learning, Data Management, Data Entry, Database Architecture and Administration, Data Collection, SQL, Python Programming, Machine Learning, Artificial Intelligence
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Training, Model Optimization, Model Deployment, Fine-tuning, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Model Optimization, Performance Tuning, Memory Management, Docker (Software), Java, Java Programming, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures
Advanced · Course · 1 - 4 Weeks

Intermediate · 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