Results for "artificial intelligence engineering"
Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, Transfer Learning, Model Evaluation, Computer Vision, PyTorch (Machine Learning Library), 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
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
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
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: AI Orchestration, AI Workflows, LangChain, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Generative AI Agents, Responsible AI, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, AI Integrations, Prompt Engineering, Large Language Modeling, Software Design Patterns, Software Development, Python Programming, Application Development
Microsoft
Skills you'll gain: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Data Infrastructure, Data Preprocessing, Model Optimization
What brings you to Coursera today?
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
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
Politecnico di Milano
Skills you'll gain: Machine Learning Methods, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Intellectual Property, AI literacy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Legal Risk, Reinforcement Learning, Artificial Intelligence, General Data Protection Regulation (GDPR), Dimensionality Reduction, Cloud Platforms, Deep Learning, Social Impact, Hardware Architecture, Artificial Neural Networks
University of Michigan
Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, AI powered creativity, Precision Medicine, Generative AI, Machine Learning, AI literacy, Artificial Intelligence, Machine Learning Algorithms, Transfer Learning, Biomedical Engineering, Control Systems, Model Optimization, Energy and Utilities, Image Analysis, AI Workflows, Robotics, Deep Learning, Medical Imaging
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Probability & Statistics, Transfer Learning, NumPy, Matplotlib, Model Training, Model Optimization, Convolutional Neural Networks, Deep Learning, Applied Machine Learning, Statistics, Data Visualization, Keras (Neural Network Library), Statistical Hypothesis Testing, Fine-tuning, Machine Learning Methods, Python Programming
Skills you'll gain: Prompt Engineering, Prompt Patterns, Data Wrangling, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, Prompt Engineering Tools, LLM Application, Keras (Neural Network Library), Responsible AI, Vector Databases, Fine-tuning, Python Programming
In summary, here are 10 of our most popular artificial intelligence engineering courses
- IBM AI Engineering:Â IBM
- AI Engineering:Â Scrimba
- Enterprise AI and Data Engineering with Databricks:Â Pragmatic AI Labs
- Agent Foundations and Prompt Engineering:Â Board Infinity
- Building AI Agents and Agentic Workflows:Â IBM
- Microsoft AI & ML Engineering:Â Microsoft
- Machine Learning and Deep Learning for Software Engineers:Â Board Infinity
- Agentic AI Engineering: RAG, MCP & MERN:Â LearnKartS
- Artificial Intelligence: an Overview:Â Politecnico di Milano
- AI for Mechanical Engineers:Â University of Michigan
