Results for "azure+ai+models"
Microsoft
Skills you'll gain: Generative AI, Responsible AI, Generative Model Architectures, Multimodal Prompts, Prompt Engineering, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Azure DevOps Pipelines, AI Security, Fine-tuning, Data Ethics, AI Orchestration, AI Workflows, Model Deployment, Azure DevOps, Microsoft Azure, ChatGPT, AI Integrations, Artificial Intelligence and Machine Learning (AI/ML), Python Programming
Skills you'll gain: Responsible AI, Image Analysis, Anomaly Detection, Text Mining, Unsupervised Learning, Microsoft Azure, Data Ethics, Natural Language Processing, AI Workflows, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Machine Learning Software, AI literacy, Model Training, Regression Analysis, No-Code Development, Predictive Modeling, Machine Learning
Pragmatic AI Labs
Skills you'll gain: AI Orchestration, AI Workflows, Cloud Infrastructure, AI Integrations, Retrieval-Augmented Generation, AWS SageMaker, Prompt Engineering, Private Cloud, Hugging Face, Prompt Patterns, Cloud Deployment, Cloud Computing Architecture, Model Deployment, LLM Application, Large Language Modeling, Cloud Technologies, Model Optimization, Analysis, Rust (Programming Language), Computer Graphics
Skills you'll gain: GitHub Copilot, Responsible AI, Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Azure, Cloud Storage, Data Storage, Prompt Patterns, Cloud Applications, Software Development, Text Mining, Unsupervised Learning, Cloud Deployment, Data Storage Technologies, Natural Language Processing, Computer Vision, Cloud Computing, Machine Learning
Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI Agents, Generative AI, Microsoft Azure, LLM Application, Artificial Intelligence, AI Orchestration, Agentic Workflows, OpenAI, OpenAI API, AI Workflows, Natural Language Processing, Microsoft Development Tools, Computer Vision, AI Integrations, Image Analysis, Agentic systems, Model Deployment
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, Generative AI Agents, Data Preprocessing, Model Optimization
What brings you to Coursera today?
Pragmatic AI Labs
Skills you'll gain: Responsible AI, Model Evaluation, AI Integrations, Model Deployment, GitHub, Application Programming Interface (API), AI Enablement, Generative AI, Development Environment, API Design, LLM Application, Cloud Development, Microsoft Azure, Prompt Engineering, Capacity Management, Scalability, Authentications, Data Validation
Pragmatic AI Labs
Skills you'll gain: Serverless Computing, Amazon Bedrock, AI Workflows, Prompt Engineering, YAML, AI Integrations, AI Orchestration, LLM Application, Model Deployment, Amazon Web Services, Generative Model Architectures, Model Evaluation, Rust (Programming Language), Large Language Modeling, Open Source Technology
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)
Skills you'll gain: AI Integrations, Generative Model Architectures, Requirements Analysis, Solution Design, Functional Requirement, Business Requirements, Scalability, Systems Integration
Skills you'll gain: Model Optimization, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Fine-tuning, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Network Architecture, Performance Testing
University of California, Santa Cruz
Skills you'll gain: Retrieval-Augmented Generation, Model Context Protocol, Generative AI Agents, AI Integrations, Agentic systems, Context Engineering, Agentic Workflows, Application Deployment, Token Optimization, Tool Calling, LLM Application, Context Management, Enterprise Architecture, Responsible AI, Model Evaluation, Large Language Modeling, Memory Management, Routing Protocols
In summary, here are 10 of our most popular azure+ai+models courses
- Microsoft Generative AI Engineering:Â Microsoft
- Microsoft Azure AI Fundamentals AI-900 Exam Prep:Â Microsoft
- AI Orchestration: From local models to cloud:Â Pragmatic AI Labs
- Building AI Cloud Apps with Microsoft Azure:Â Microsoft
- Microsoft Certified Azure AI Engineer Associate AI-102:Â Packt
- Microsoft AI & ML Engineering:Â Microsoft
- GitHub: Evaluating and Integrating AI Models:Â Pragmatic AI Labs
- AI Tooling Capstone: Serverless Multi-Model Systems:Â Pragmatic AI Labs
- Advanced Model Architectures & Language AI:Â Coursera
- Architect AI Solutions: From Needs to Models:Â Coursera
