Results for "deploying and scheduling bot execution"
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microservices, Containerization, Application Deployment, Service Level, Debugging, Unit Testing, Software Testing, System Monitoring, Continuous Deployment, Docker (Software), Software Architecture, Kubernetes, Software Design, Restful API, Systems Architecture, Cloud Computing Architecture, Application Performance Management, Continuous Monitoring
Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Model Training, AI Workflows, Tensorflow, Dataflow, Performance Tuning, Deep Learning, Dashboard, Data Pipelines, Grafana, Artificial Neural Networks, Data Processing, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation
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
Coursera
Skills you'll gain: Model Deployment, Docker (Software), Containerization, Cloud Deployment, Application Deployment, MLOps (Machine Learning Operations), Hugging Face, Generative AI, Cloud Computing Architecture, Serverless Computing, Cloud Hosting, Cloud Technologies, Cloud Platforms, Security Controls, System Monitoring, Configuration Management, Release Management, Infrastructure Security, Continuous Monitoring, Application Performance Management
Skills you'll gain: Model Deployment, AI Integrations, Enterprise Application Management, Generative AI Agents, Prompt Engineering, Prompt Patterns, LLM Application, Application Deployment, Role-Based Access Control (RBAC), Prompt Engineering Tools, Health Insurance Portability And Accountability Act (HIPAA) Compliance, User Interface (UI), Package and Software Management, Agentic systems, API Design, UI Components, Restful API, Authentications, Data Persistence, Release Management
Pragmatic AI Labs
Skills you'll gain: Amazon Web Services, Cloud-Native Computing, Docker (Software), Containerization, Infrastructure as Code (IaC), AWS Identity and Access Management (IAM), AI Workflows, DevOps, Command-Line Interface, Serverless Computing, Cloud Deployment, Automation, Application Deployment, Rust (Programming Language), Generative AI, Cloud Computing
What brings you to Coursera today?
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
Board Infinity
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, LLM Application, Application Deployment, Model Training, Cloud Deployment, Continuous Deployment, AI Workflows, AI Security, Data Ethics, Responsible AI, Prompt Engineering, Retrieval-Augmented Generation, Scalability, CI/CD, Site Reliability Engineering, Model Evaluation, Release Management, System Monitoring, Containerization
Skills you'll gain: Kubernetes, Docker (Software), Containerization, Application Deployment
Pragmatic AI Labs
Skills you'll gain: Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, AWS SageMaker, AI Workflows, Retrieval-Augmented Generation, Shell Script, IT Automation, Unix Shell, Command-Line Interface, AI Integrations, AI Security, Prototyping, Large Language Modeling, Generative AI, Data Management, Anomaly Detection
Skills you'll gain: Technical Analysis, Financial Trading, Regression Analysis, Business Process Automation, Trend Analysis, Market Data, Predictive Modeling, Market Trend, Advanced Analytics, Securities Trading, Computational Logic, Automation, Data-Driven Decision-Making, Market Dynamics, Decision Intelligence, Financial Market, Workflow Management, Back-End Web Development, Data Visualization, Algorithms
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Dashboard Creation, Generative AI, Dependency Analysis, Dashboard, Application Deployment, Continuous Deployment, Model Training, Responsible AI, Site Reliability Engineering, Release Management, Kubernetes, Application Performance Management, CI/CD, Performance Analysis, Continuous Monitoring, Automation, Cloud Platforms, Data-Driven Decision-Making
In summary, here are 10 of our most popular deploying and scheduling bot execution courses
- Deploying and Debugging ML Microservices: Coursera
- Optimizing AI Workflows and Deploying Edge Models: Coursera
- Learn AI Agents: Design, Build & Deploy: AI CERTs
- Deploying Open Models: Coursera
- Production Deployment and Advanced Patterns: Coursera
- CLI Automation with Amazon Q and CloudShell: Pragmatic AI Labs
- AI Tooling Capstone: Serverless Multi-Model Systems: Pragmatic AI Labs
- MLOps and LLMOps: Deploying and Scaling AI in Production: Board Infinity
- Deploy, Manage, and Orchestrate Your Models: Coursera
- Enterprise AIOps with Amazon Q Business: Pragmatic AI Labs
