
Skills you'll gain: Databricks, Data Lakes, Data Pipelines, Data Integration, JSON, Dashboard, SQL, Data Manipulation, Apache Spark, Dashboard Creation, Data Management, Data Transformation, Version Control
★ 4.1 (32) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Responsible AI, Statistical Modeling, Microsoft Azure, MLOps (Machine Learning Operations), Model Optimization, Statistical Methods, Prompt Engineering, Model Training, Data Processing, Machine Learning Algorithms, Cloud Deployment, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Cloud Management, Machine Learning Methods, Prompt Patterns, Data Management, Machine Learning, Data Science
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, Devops Tools, BeeAI, Docker (Software), Cloud Deployment, Agentic systems, Google Cloud Platform, Cloud Platforms, Kubernetes, Applied Machine Learning, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security
★ 3.7 (71) · Intermediate · Course · 1 - 3 Months
Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Statistical Machine Learning, Machine Learning Algorithms, Model Optimization, Deep Learning, Data Pipelines
Advanced · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Machine Learning, Python Programming
★ 3.5 (56) · Advanced · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Responsible AI, LLM Application, Large Language Modeling, Google Cloud Platform, Model Training, MLOps (Machine Learning Operations), Fine-tuning, Model Evaluation, Version Control, Supervised Learning
★ 3.9 (36) · Beginner · Project · Less Than 2 Hours

Skills you'll gain: Microsoft Azure, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, Cloud Deployment, Data Pipelines, Data Store, Model Training, Data Management, Cloud Infrastructure, Applied Machine Learning, AI Workflows, Model Evaluation, Machine Learning Algorithms, Configuration Management, Development Environment
★ 4.6 (29) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Transaction Processing, Data Lakes, Data Architecture, Databricks, Data Infrastructure, Data Pipelines, Data Warehousing, Data Integration, Apache Spark, Data Processing, Real Time Data, Big Data, Scalability, Performance Tuning, Data Quality, Data Storage Technologies, SQL
Intermediate · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, DevOps, Development Testing, Debugging, Code Coverage, Test Engineering, Data Pipelines
Advanced · Course · 1 - 4 Weeks
Skills you'll gain: Real Time Data, Apache Spark, Fraud detection, PySpark, Databricks, Data Pipelines, Dashboard Creation, Dashboard, Big Data, Performance Tuning, Data Processing, Internet Of Things, Data Analysis, Performance Analysis, Trend Analysis, Performance Improvement
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning, Classification Algorithms
★ 4.3 (6) · Intermediate · Course · 1 - 4 Weeks