Results for "ai apps devops"
Pragmatic AI Labs
Skills you'll gain: Amazon Bedrock, AI Security, Retrieval-Augmented Generation, Docker (Software), Prompt Engineering, GitHub Copilot, Token Optimization, Agentic Workflows, AI Orchestration, LLM Application, Debugging, Serverless Computing, Software As A Service, Model Context Protocol, Amazon Web Services, Large Language Modeling, Rust (Programming Language), Code Review, Natural Language Processing, GitHub
Skills you'll gain: AI Security, AI Orchestration, MLOps (Machine Learning Operations), Model Deployment, Vulnerability Assessments, AI Workflows, Governance Risk Management and Compliance, Retrieval-Augmented Generation, Responsible AI, Compliance Auditing, LLM Application, Personally Identifiable Information, Regulatory Compliance, Regulatory Requirements, Application Deployment, Generative Model Architectures, Decision Intelligence, Model Training, Cloud Deployment, Artificial Intelligence
Amazon Web Services
Skills you'll gain: Prompt Engineering, Amazon Bedrock, Responsible AI, Infrastructure as Code (IaC), Amazon CloudWatch, Application Deployment, Amazon Elastic Compute Cloud, CI/CD, AWS CloudFormation, Unit Testing, Continuous Deployment, Cloud Deployment, Amazon Web Services, DevOps, Devops Tools, DevSecOps, Code Review, Serverless Computing, Containerization, Data Analysis
Google DeepMind
Skills you'll gain: Prompt Engineering, Google Gemini, Gemini, Prompt Engineering Tools, Generative AI Agents, AI Orchestration, LLM Application, Vibe coding, Program Development, Token Optimization, Agentic Workflows, LangChain, Cloud API, Artificial Intelligence, Serverless Computing, Microservices, Microsoft Azure, Natural Language Processing, Distributed Computing, Reinforcement Learning
Skills you'll gain: Model Deployment, Data Cleansing, Data Transformation, Data Preprocessing, Data Storytelling, Feature Engineering, AWS SageMaker, AI Integrations, Systems Architecture, Solution Architecture, Model Optimization, Cloud Computing Architecture, Scalability, MLOps (Machine Learning Operations), System Design and Implementation, Kubernetes, Data Engineering, Cloud Infrastructure, Docker (Software), Prometheus (Software)
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
What brings you to Coursera today?
Skills you'll gain: Model Deployment, AI Integrations, Enterprise Application Management, Generative AI Agents, Prompt Engineering, LLM Application, Application Deployment, Role-Based Access Control (RBAC), Health Insurance Portability And Accountability Act (HIPAA) Compliance, User Interface (UI), Package and Software Management, Agentic systems, UI Components, Restful API, Health Information Management, Data Persistence, Model Optimization, Data Ethics, Flask (Web Framework), Application Security
Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), AI Security, Software Engineering, Model Training, DevOps, Software Quality Assurance, Maintainability, CI/CD, Model Deployment, Performance Tuning, Security Testing, Model Evaluation, Secure Coding, Performance Testing, Continuous Monitoring, Integration Testing, Sampling (Statistics), Data Validation, Python Programming
Amazon Web Services
Skills you'll gain: Prompt Engineering, Amazon Bedrock, Responsible AI, Application Deployment, Amazon Elastic Compute Cloud, Unit Testing, Amazon Web Services, Version Control, Generative AI, AI Integrations, LLM Application, DevOps, Retrieval-Augmented Generation, Artificial Intelligence, Application Lifecycle Management
Skills you'll gain: Restful API, Flask (Web Framework), Application Deployment, Application Programming Interface (API), Unit Testing, Cloud Applications, AI Integrations, Python Programming, Web Applications, Software Development Life Cycle, IBM Cloud, Web Development, Development Testing, Artificial Intelligence, Code Review, Integrated Development Environments, AI literacy, Server Side, Programming Principles
Pragmatic AI Labs
Skills you'll gain: Amazon Web Services, 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
Pragmatic AI Labs
Skills you'll gain: GitHub Copilot, Infrastructure as Code (IaC), Terraform, Rust (Programming Language), Test Script Development, Ansible, Test Driven Development (TDD), GitHub, Test Automation, Dependency Analysis, AI Integrations, AI Workflows, Containerization, Unit Testing, Test Tools, Docker (Software), Style Guides, Software Testing, Automation, Mockups
In summary, here are 10 of our most popular ai apps devops courses
- AI Tooling:Â Pragmatic AI Labs
- Managing AI Systems: Development, Deployment, and Governance:Â Board Infinity
- DevOps and AI on AWS:Â Amazon Web Services
- Gemini for Developers:Â Google DeepMind
- Blueprint to Bytecode: Architecting Scalable AI Systems:Â Coursera
- Enterprise AIOps with Amazon Q Business:Â Pragmatic AI Labs
- Production Deployment and Advanced Patterns:Â Coursera
- Validating and Safeguarding Production AI:Â Coursera
- DevOps and AI on AWS: Upgrading Apps with Generative AI:Â Amazon Web Services
- Developing AI Applications with Python and Flask:Â IBM
