Results for "ai models"
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, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining
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, Cloud Deployment, PyTorch (Machine Learning Library), Cloud Computing, Network Architecture, Unit Testing, API Design, Deep Learning, Python Programming, Data Validation, CI/CD, Keras (Neural Network Library)
Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), OpenAI, Hugging Face, Large Language Modeling, Prompt Engineering, IBM Cloud, Artificial Neural Networks, Deep Learning, Natural Language Processing
Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, OpenAI, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing
Status: NewMicrosoft
Skills you'll gain: Generative AI, Responsible AI, Generative Model Architectures, Prompt Engineering, Multimodal Prompts, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Data Ethics, AI Orchestration, AI Workflows, Model Deployment, Azure DevOps, Microsoft Azure, ChatGPT, AI Security, AI Enablement, Model Evaluation, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), Python Programming
What brings you to Coursera today?
Simplilearn
Skills you'll gain: Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Generative Adversarial Networks (GANs), Autoencoders, Model Evaluation, Large Language Modeling, Real Time Data, Scalability, Responsible AI, Transfer Learning, Natural Language Processing
Pragmatic AI Labs
University of Michigan
Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Precision Medicine, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Transfer Learning, Biomedical Engineering, Control Systems, Energy and Utilities, Technical Design, Robotics, Deep Learning, Computer Vision, Medical Imaging, Reinforcement Learning, Electric Power Systems, Bioinformatics
Snowflake
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, AI Orchestration, AI Workflows, LLM Application, Data Engineering, Data Manipulation, Model Context Protocol, Snowflake Schema, Artificial Intelligence, Large Language Modeling, Model Deployment, Tool Calling, Data Warehousing, Unstructured Data, Embeddings, Cloud Development, SQL, Natural Language Processing
Skills you'll gain: Generative AI Agents, Model Context Protocol, Retrieval-Augmented Generation, Generative Model Architectures, Model Deployment, Load Balancing, Large Language Modeling, Containerization, Docker (Software), Generative AI, Model Evaluation, Agentic systems, LangChain, Restful API, Cloud Deployment, Data Ethics, Data Validation, API Design, MLOps (Machine Learning Operations), Image Quality
Searches related to ai models
In summary, here are 10 of our most popular ai models courses
- Optimize and Deploy Edge AI Models: Coursera
- Generative AI Engineering with LLMs: IBM
- AI Model Development & Deployment: Coursera
- Generative AI: Foundation Models and Platforms: IBM
- Generative AI Models and Transformer Networks Certification: Simplilearn
- Microsoft Generative AI Engineering: Microsoft
- Foundations of Generative AI Models: Simplilearn
- GitHub: Evaluating and Integrating AI Models: Pragmatic AI Labs
- Evaluate and Apply Ethical AI Models: Coursera
- AI for Mechanical Engineers: University of Michigan
