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Find the Best Data Engineering Course for Your Goals
Google Cloud
Skills you'll gain: Prompt Engineering, Generative AI, Google Cloud Platform, Large Language Modeling, Cloud API
- Status: NewStatus: Free Trial
Skills you'll gain: Prompt Engineering, Excel Formulas, Generative AI, Data Pipelines, Data Ethics, Data Processing, Teradata SQL, Debugging, Microsoft Excel, Automation, Artificial Intelligence, Data Analysis, Integrated Development Environments
- Status: NewStatus: Free Trial
Skills you'll gain: Generative AI, Artificial Intelligence, Prompt Engineering, Large Language Modeling, Application Development, Application Frameworks, User Interface (UI), Natural Language Processing, Jupyter
- Status: Free Trial
Macquarie University
Skills you'll gain: Education Software and Technology, Instructional Design, Virtual Environment, Collaboration, System Configuration, Safety and Security, User Accounts, Information Privacy, Communication Strategies
- Status: Free Trial
Advancing Women in Tech
Skills you'll gain: Software Architecture, Systems Architecture, Technical Management, API Design, System Design and Implementation, Technical Product Management, Engineering Management, Program Management, Microservices, Cross-Functional Collaboration, Leadership and Management, Technology Roadmaps, Amazon Web Services
Northeastern University
Skills you'll gain: Generative AI, Data Ethics, Data Governance, Governance, Artificial Intelligence, Machine Learning, Large Language Modeling, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Emerging Technologies
- Status: New
Northeastern University
Skills you'll gain: Data Mining, Exploratory Data Analysis, Dimensionality Reduction, Data Cleansing, Data Transformation, Text Mining, Data-Driven Decision-Making, Forecasting, Big Data, Feature Engineering, Unstructured Data, Data Analysis, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Statistical Analysis, Data Visualization Software, Unsupervised Learning, Machine Learning, Regression Analysis
Duke University
Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Python Programming, Simulations
- Status: Free Trial
University of Michigan
Skills you'll gain: Generative AI, ChatGPT, Prompt Engineering, Brainstorming, Course Development, Educational Materials, Instructional Design, Artificial Intelligence, Persona Development
Coursera Project Network
Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Machine Learning Methods, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis, Performance Measurement
- Status: Free Trial
Arizona State University
Skills you'll gain: Sustainability Reporting, Waste Minimization, Interactive Learning, Corporate Sustainability, Student Engagement, Environment, Environmental Issue, Key Performance Indicators (KPIs), Environment and Resource Management, Environmental Social And Corporate Governance (ESG), Process Analysis, Action Oriented, Peer Review, Presentations
Coursera Instructor Network
Skills you'll gain: Application Development, OpenAI, Large Language Modeling, Application Frameworks, Generative AI, Artificial Intelligence, Prompt Engineering, Natural Language Processing
Searches related to data engineering
In summary, here are 10 of our most popular data engineering courses
- Generative AI with Vertex AI: Prompt Design:Â Google Cloud
- Coding and Automation for Data Analysis with Generative AI:Â Microsoft
- Build RAG Applications: Get Started:Â IBM
- Online teaching: Using Zoom to connect with learners :Â Macquarie University
- Building Products at Global Scale:Â Advancing Women in Tech
- Ethics and Governance in the Age of Generative AI:Â Northeastern University
- Practical Engineering Data Mining: Techniques and Uses:Â Northeastern University
- Object-Oriented Programming in Python:Â Duke University
- Using Generative AI for Learning Design Activities :Â University of Michigan
- Interpretable Machine Learning Applications: Part 2:Â Coursera Project Network