Results for "aws command line interface (cli)"
Amazon Web Services
Skills you'll gain: Amazon Bedrock, Prompt Engineering, Responsible AI, Generative AI Agents, Retrieval-Augmented Generation, Generative AI, Fine-tuning, LangChain, AI Workflows, Agentic Workflows, Model Training, Model Optimization, Large Language Modeling, Artificial Intelligence, Token Optimization, Transfer Learning, LLM Application, AI literacy, Amazon Web Services, Context Management
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
Simplilearn
Skills you'll gain: Containerization, Cloud-Native Computing, Kubernetes, Docker (Software), CI/CD, Amazon Web Services, Continuous Integration, Cloud Deployment, Application Deployment, Continuous Deployment, AWS CloudFormation, Security Controls, Enterprise Application Management, Cloud Security, Cloud Infrastructure, Continuous Delivery, Scalability, GitHub
Pragmatic AI Labs
Skills you'll gain: Amazon Bedrock, Token Optimization, Generative AI, AWS SageMaker, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, AI literacy, Amazon Web Services, Amazon Elastic Compute Cloud, No-Code Development, AI Integrations, Model Deployment, Model Optimization, Technology Solutions, Rust (Programming Language), Package and Software Management
Pragmatic AI Labs
Skills you'll gain: Amazon Bedrock, Amazon Web Services, Agentic Workflows, LLM Application, Anthropic Claude, Generative AI Agents, Agentic systems, Retrieval-Augmented Generation, Tool Calling, Cloud Computing, Generative AI, Model Deployment, Prototyping, Bash (Scripting Language), Embeddings, Large Language Modeling, Restful API, Prompt Engineering, Vector Databases, Rust (Programming Language)
Skills you'll gain: Command-Line Interface, C# (Programming Language), .NET Framework, Performance Tuning, Development Environment, Maintainability, Microsoft Development Tools, Application Programming Interface (API), Software Design, Restful API, Software Development Tools, File I/O, Authentications, Application Security, Software Testing, Unit Testing, Package and Software Management
What brings you to Coursera today?
Amazon Web Services
Skills you'll gain: Responsible AI, Generative AI, Generative AI Agents, Prompt Engineering, Amazon Bedrock, Data Ethics, AWS SageMaker, AI Workflows, Agentic systems, AI Product Strategy, Agentic Workflows, Amazon Web Services, AI Integrations, LLM Application, AI Orchestration, MLOps (Machine Learning Operations), Application Programming Interface (API), Application Development, Solution Architecture, Data Management
Skills you'll gain: Unix Shell, Shell Script, Bash (Scripting Language), Unix Commands, Command-Line Interface, Unix, Network Protocols, Network Troubleshooting, Scripting, TCP/IP, Linux, OS Process Management, File Management, Scripting Languages, General Networking, File Transfer Protocol (FTP), Network Administration, Linux Commands, File Systems, grep
Pearson
Skills you'll gain: Amazon Web Services, Command-Line Interface, Cloud Deployment, Cloud Infrastructure, Public Cloud, Cloud Platforms, Cloud Computing, Application Deployment, Cloud Services, Version Control
Amazon Web Services
Skills you'll gain: AWS CloudFormation, Amazon Web Services, Cloud Infrastructure, Infrastructure as Code (IaC), Cloud Deployment, Application Deployment
Duke University
Skills you'll gain: Rust (Programming Language), Serverless Computing, Command-Line Interface, Maintainability, Amazon Web Services, Linux Commands, Unix Commands, Application Deployment, System Programming, Python Programming, Package and Software Management, Performance Tuning, Software Testing
Pragmatic AI Labs
In summary, here are 10 of our most popular aws command line interface (cli) courses
- AWS Generative AI and AI Agents with Amazon Bedrock: Amazon Web Services
- CLI Automation with Amazon Q and CloudShell: Pragmatic AI Labs
- Master Containerization with AWS: Simplilearn
- AWS Generative AI and Foundation Models: Pragmatic AI Labs
- AWS Intelligent Applications with Amazon Bedrock: Pragmatic AI Labs
- Building CLI Applications with C Sharp and Dot Net: Packt
- AWS Generative AI Applications: Amazon Web Services
- Unix and Linux Command Line Mastery: EDUCBA
- AWS Developer: Unit 6: Pearson
- Getting Started with AWS CloudFormation: Amazon Web Services
