
Coursera
Skills you'll gain: Databricks, Generative AI, Prompt Engineering, Retrieval-Augmented Generation, Vector Databases, Context Engineering, Fine-tuning, LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Applied Machine Learning, Embeddings, Data Lakes, Model Evaluation, Model Optimization, Application Deployment, Acceptance Testing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Databricks, Apache Spark, Microsoft Azure, Data Integration, Data Lakes, File Systems, Data Processing, Big Data, File Management
★ 4.3 (37) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Databricks, Apache Kafka, Azure DevOps, Data Pipelines, Microsoft Azure, CI/CD, Data Lakes, Continuous Integration, Data Integration, Real Time Data, Apache Spark, DevOps, Power BI, Big Data, Data Processing, Data Warehousing, Data Architecture, Cloud Security, Data Management, Performance Tuning
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Model Training, Application Deployment, AI Workflows, Model Evaluation, Real Time Data, Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Lakes, Model Training, Machine Learning Methods, Data Processing, Deep Learning, Data Transformation, Model Deployment, Data Pipelines, Data Manipulation, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis
★ 3.1 (79) · Intermediate · Course · 1 - 3 Months

Pragmatic AI Labs
Skills you'll gain: Databricks, Role-Based Access Control (RBAC), MLOps (Machine Learning Operations), Data Lakes, Data Governance, CI/CD, Authorization (Computing), Anomaly Detection, Identity and Access Management, Model Deployment, Generative AI, Data Access, Metadata Management, Data Engineering, Data Quality, GitHub, Event Monitoring, Test Tools, Authentications, Python Programming
Intermediate · Course · 1 - 4 Weeks

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 (313) · Beginner · Specialization · 3 - 6 Months

Pragmatic AI Labs
Skills you'll gain: Data Pipelines, Extract, Transform, Load, Data Lakes, Databricks, Data Architecture, Data Processing, Data Wrangling, Data Strategy, Data Presentation, Data Mining, Data Management, Data Governance, Data Integrity, Data Science, Live Streaming, SQL, Data Storage, Data Ethics, Data Security, Apache
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MongoDB, Node.JS, Angular, Restful API, API Design, NoSQL, Bootstrap (Front-End Framework), Database Development, Scalability, JavaScript Frameworks, Authentications, Query Languages, Operational Databases, Web Frameworks, Web Applications, Database Systems, JSON, Application Programming Interface (API), Database Management, Authorization (Computing)
★ 4.7 (163) · Beginner · Specialization · 3 - 6 Months

Pragmatic AI Labs
Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles
Intermediate · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Presentations, Data Governance, SQL, Data Presentation, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Data Quality, Exploratory Data Analysis, Descriptive Analytics, Data Architecture, Data Literacy, Data Pipelines, Databricks, Data Analysis, Complex Problem Solving, JSON
★ 4.6 (17K) · Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Vector Databases, Embeddings, Docker (Software), Containerization, AI Workflows, Cost Benefit Analysis, OpenAI API, Development Environment, Performance Testing, Data Pipelines
Intermediate · Course · 1 - 4 Weeks