Results for "knowledge engineering"
Pragmatic AI Labs
Skills you'll gain: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy
Skills you'll gain: Data Warehousing, Data Flow Diagrams (DFDs), Data Modeling, Data Pipelines, Ansible, Cloud Security, Diagram Design, Data Validation, Database Design, Apache Airflow, Star Schema, Snowflake Schema, Interviewing Skills, Apache Spark, PySpark, CI/CD, Docker (Software), SQL, Workflow Management, Git (Version Control System)
LearnKartS
Skills you'll gain: Agentic systems, Model Context Protocol, Vector Databases, Gemini, Generative AI Agents, Google Gemini, Retrieval-Augmented Generation, Artificial Intelligence, Generative AI, Embeddings, MongoDB, Node.JS, API Design, TypeScript, PostgreSQL, Web Applications, Systems Architecture, Database Management, Debugging, Machine Learning
Skills you'll gain: Ansible, Infrastructure as Code (IaC), Configuration Management, Correlation Analysis, CI/CD, Docker (Software), GitHub, Data Strategy, Collaborative Software, Git (Version Control System), Containerization, Cloud Infrastructure, Data Security, Data Pipelines, Version Control, Continuous Deployment, Continuous Integration, Devops Tools, Kubernetes, Scalability
Coursera
Skills you'll gain: Technical Documentation, Document Management, Taking Meeting Minutes, Content Management, Project Documentation, Knowledge Transfer, Technical Writing, Content Management Systems, Content Development and Management, Information Architecture, Content Optimization, Content Strategy, Content Creation, Usability, Scalability
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Optimization, Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Model Training, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL
What brings you to Coursera today?
Skills you'll gain: MySQL, Database Software, Database Management, Database Theory, Data Warehousing, Interactive Data Visualization, Dashboard, Database Administration, Data Visualization Software, Star Schema, Dashboard Creation, Linux Commands, Unix, Data Integrity, Unit Testing, Algorithms, Analytics, Database Architecture and Administration, Software Versioning, Command-Line Interface
Edureka
Skills you'll gain: LangChain, LangGraph, Model Context Protocol, AI Workflows, LLM Application, Context Engineering, AI Orchestration, Agentic Workflows, Generative AI Agents, Tool Calling, Data Processing, Data Transformation, Retrieval-Augmented Generation, Agentic systems, Generative AI, Gemini, Scalability, Artificial Intelligence, Prompt Engineering, Responsible AI
Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Prometheus (Software), Cloud Management, Cloud Storage, Cloud Computing Architecture, Infrastructure As A Service (IaaS), Cloud-Native Computing, Cloud Development, Application Performance Management, Cloud Computing, Serverless Computing, Cloud Solutions, Terraform, Containerization, Site Reliability Engineering, IT Infrastructure, Network Administration
The Hong Kong University of Science and Technology
Skills you'll gain: Software Design Patterns, Requirements Analysis, White-Box Testing, Systems Development Life Cycle, Software Architecture, Acceptance Testing, Software Development Methodologies, Unified Modeling Language, Software Development Life Cycle, Configuration Management, Software Quality Assurance, Debugging, Software Engineering, Software Testing, Object Oriented Design, Functional Requirement, Data Modeling, Systems Design, Project Management, Project Planning
Skills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Application Deployment, Software Development, Machine Learning
Skills you'll gain: NoSQL, Extract, Transform, Load, Database Administration, Apache Spark, Data Warehousing, Web Scraping, Data Pipelines, Apache Hadoop, Database Architecture and Administration, Database Design, Database Management, Relational Databases, Linux Commands, SQL, IBM Cognos Analytics, Generative AI, Professional Networking, Python Programming, Data Analysis, Data Science
In summary, here are 10 of our most popular knowledge engineering courses
- Enterprise AI and Data Engineering with Databricks: Pragmatic AI Labs
- Open source Data Engineering with Spark, dbt & Airflow: Coursera
- Agentic AI Engineering: RAG, MCP & MERN: LearnKartS
- Git, Docker & CI/CD: DevOps Foundations for Data Engineers: Coursera
- Content & Knowledge Management: Coursera
- LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
- Meta Database Engineer: Meta
- Agentic AI Engineering: Edureka
- Preparing for Google Cloud Certification: Cloud Engineer: Google Cloud
- Software Engineering: The Hong Kong University of Science and Technology
