Results for "feature engineering for ai systems"
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
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
Board Infinity
Skills you'll gain: Prompt Engineering, Prompt Patterns, LLM Application, Generative AI Agents, AI Workflows, AI Orchestration, Agentic Workflows, Large Language Modeling, Tool Calling, Agentic systems, Debugging, Quality Assurance, Model Evaluation
Skills you'll gain: Responsible AI, Agentic Workflows, AI Workflows, AI Orchestration, Generative AI Agents, AI Enablement, Business Process Automation, Artificial Intelligence and Machine Learning (AI/ML), Workflow Management, LLM Application, Model Deployment, Artificial Intelligence, LangChain, Vector Databases, Agentic systems, Tool Calling, AI Security, AI Personalization, AI Product Strategy, Generative AI
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
Pragmatic AI Labs
Skills you'll gain: Amazon Bedrock, AI Security, Retrieval-Augmented Generation, Docker (Software), Prompt Engineering, GitHub Copilot, Token Optimization, Agentic Workflows, AI Orchestration, LLM Application, Debugging, Serverless Computing, Software As A Service, Model Context Protocol, Amazon Web Services, Large Language Modeling, Rust (Programming Language), Code Review, Natural Language Processing, GitHub
What brings you to Coursera today?
Scrimba
Skills you'll gain: Model Context Protocol, Prompt Engineering, Retrieval-Augmented Generation, LangChain, OpenAI API, Prompt Patterns, Embeddings, Image Analysis, Responsible AI, AI Workflows, OpenAI, LLM Application, AI Integrations, Cloud Deployment, Cloud Applications, Multimodal Prompts, Memory Management, Hugging Face, Vector Databases, Software Engineering
Skills you'll gain: Model Context Protocol, Responsible AI, LangGraph, AI Integrations, AI Workflows, AI Orchestration, Agentic Workflows, LangChain, Agentic systems, Generative AI Agents, CrewAI, OpenAI API, LLM Application, Tool Calling, OpenAI, Model Deployment, Compliance Management, Governance, AI Security, Artificial Intelligence and Machine Learning (AI/ML)
Skills 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, Prompt Engineering Tools, Vision Transformer (ViT), Keras (Neural Network Library), Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Model Optimization, Dataflow, Tensorflow, Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Applied Machine Learning, Data Modeling, Data Store, Real Time Data, Machine Learning
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
LearnKartS
Skills you'll gain: Model Context Protocol, Agentic systems, Vector Databases, Retrieval-Augmented Generation, Prompt Engineering, Tool Calling, Google Gemini, Agentic Workflows, AI Workflows, Generative AI Agents, Server Side, Node.JS, Scalability, MongoDB, Embeddings, Large Language Modeling, Natural Language Processing, Web Development, Machine Learning, Javascript
In summary, here are 10 of our most popular feature engineering for ai systems courses
- Enterprise AI and Data Engineering with Databricks: Pragmatic AI Labs
- Agentic AI Engineering: RAG, MCP & MERN: LearnKartS
- Agent Foundations and Prompt Engineering: Board Infinity
- Learn AI Agents: Design, Build & Deploy: AI CERTs
- Machine Learning and Deep Learning for Software Engineers: Board Infinity
- AI Tooling: Pragmatic AI Labs
- AI Engineering: Scrimba
- Hands-on Agentic AI: Building Intelligent Agents: Coursera
- IBM AI Engineering: IBM
- Feature Engineering: Google Cloud
