Results for "ai/ml methodologies"
Status: Top AI ProgramMicrosoft
Skills you'll gain: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, 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, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing
Skills you'll gain: Model Deployment, AWS SageMaker, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Systems Design, Cloud Computing Architecture, Transfer Learning, Model Evaluation, PyTorch (Machine Learning Library), Cloud Computing, Network Architecture, Unit Testing, API Design, Deep Learning, Continuous Deployment, Python Programming, Data Validation, CI/CD, Keras (Neural Network Library)
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Skills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Docker (Software), Agentic systems, Google Cloud Platform, AWS SageMaker, CI/CD, Cloud Platforms, DevOps, Azure DevOps Pipelines, Kubernetes, Applied Machine Learning, Scalability
Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Generative AI Agents, Vector Databases, LLM Application, Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning
Coursera
Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Continuous Integration, Testability, Kubernetes, CI/CD, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Tensorflow, Containerization, Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming
What brings you to Coursera today?
Skills you'll gain: Data Ethics, Responsible AI, Retrieval-Augmented Generation, LLM Application, Operations Research, Strategic Thinking, Strategic Decision-Making, Business Strategy, Apache Kafka, Stakeholder Communications, Large Language Modeling, Real Time Data, AI Enablement, Performance Testing, Prompt Engineering, Business Analytics, Reinforcement Learning, Inventory Management System, Stakeholder Analysis, General Data Protection Regulation (GDPR)
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
University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
Microsoft
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Azure DevOps, Generative AI, Microsoft Azure, Model Deployment, AI Workflows, CI/CD, Version Control, Data Ethics, Artificial Intelligence, Model Evaluation, Git (Version Control System), Automation, System Monitoring, Continuous Monitoring
Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Technology Strategies, Applied Machine Learning, Hybrid Cloud Computing, Data Strategy, Image Analysis, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Cloud Solutions, Public Cloud, Containerization
Johns Hopkins University
Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Statistical Modeling, Machine Learning Algorithms, Dimensionality Reduction
In summary, here are 10 of our most popular ai/ml methodologies courses
- Microsoft AI & ML Engineering:Â Microsoft
- AI Model Development & Deployment:Â Coursera
- MLOps | Machine Learning Operations:Â Duke University
- AI Agents and MLOps for Production-Ready AI:Â Packt
- Generative AI Engineering with LLMs:Â IBM
- ML Production Systems:Â Coursera
- AI Techniques, Causal Inference & Business Optimization:Â Coursera
- AI Engineering Masterclass: From Zero to AI Hero:Â Packt
- AI and Machine Learning Essentials with Python:Â University of Pennsylvania
- MLOps and responsible AI practices:Â Microsoft
