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
Vanderbilt University
Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Verification And Validation, Ideation, Data Presentation, LLM Application, Productivity, OpenAI, Document Management, Responsible AI, AI Enablement, Generative AI, Creativity, Large Language Modeling, Risk Management Framework, Artificial Intelligence, Problem Solving, Data Analysis, Information Management
Coursera
Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Vision Transformer (ViT), Model Evaluation, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Applied Machine Learning, Dataflow, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines, Computer Vision
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Software Architecture, Test Automation, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL
Edureka
Skills you'll gain: LangChain, LangGraph, Model Context Protocol, AI Workflows, LLM Application, AI Orchestration, Agentic Workflows, Generative AI Agents, Tool Calling, Model Deployment, Data Transformation, Retrieval-Augmented Generation, Agentic systems, Generative AI, Middleware, Gemini, Scalability, Artificial Intelligence, Prompt Engineering, Responsible AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow
What brings you to Coursera today?
Skills you'll gain: MySQL, Database Management, Database Administration, Data Warehousing, Linux Commands, Data Integrity, Unit Testing, Algorithms, Software Versioning, Command-Line Interface, Software Visualization, Linux, Pseudocode, Query Languages, Collaborative Software, Django (Web Framework), Database Architecture and Administration, Programming Principles, Computational Thinking, Test Driven Development (TDD)
Skills you'll gain: Retrieval-Augmented Generation, Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, Model Evaluation, LangChain, Large Language Modeling, Hugging Face, Transfer Learning, Model Deployment, Responsible AI, Performance Tuning, AI Workflows, Generative AI, LangGraph, Embeddings, Context Management, Vector Databases
Skills you'll gain: Extract, Transform, Load, NoSQL, Apache Spark, Data Warehousing, Web Scraping, Database Administration, Apache Hadoop, Database Design, Relational Databases, Linux Commands, Data Pipelines, SQL, IBM Cognos Analytics, Database Management, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science
The Hong Kong University of Science and Technology
Skills you'll gain: Software Design Patterns, Requirements Analysis, White-Box Testing, Software Architecture, Acceptance Testing, Software Development Methodologies, Unified Modeling Language, Software Development Life Cycle, Configuration Management, Debugging, Software Design, Process Driven Development, Software Engineering, Software Testing, Object Oriented Design, Functional Requirement, Data Modeling, Systems Design, Project Management, Project Planning
Status: Trending in AISkills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Retrieval-Augmented Generation, Transfer Learning, Model Evaluation, Computer Vision, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), Supervised Learning, Generative AI Agents, Vector Databases, Machine Learning, Python Programming, Data Science
Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Design, SQL, IBM DB2, Database Management, Relational Databases, Data Architecture, Data Pipelines, Databases, Big Data, Data Storage Technologies, Unit Testing, Data Storage, Stored Procedure, Data Import/Export, SQL Server Integration Services (SSIS), Programming Principles, PostgreSQL, Python Programming
In summary, here are 10 of our most popular knowledge engineering courses
- Enterprise AI and Data Engineering with Databricks: Pragmatic AI Labs
- Prompt Engineering: Vanderbilt University
- Deep Learning Engineering: Coursera
- LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
- Agentic AI Engineering: Edureka
- AI Engineering Masterclass: From Zero to AI Hero: Packt
- Meta Database Engineer: Meta
- LLM Engineering: Prompting, Fine-Tuning, Optimization & RAG: Edureka
- IBM Data Engineering: IBM
- Software Engineering: The Hong Kong University of Science and Technology
