Results for "aws cli (command line interface)"
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
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)
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, 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
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
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?
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
Skills you'll gain: AWS Kinesis, Amazon Web Services, Amazon DynamoDB, AWS SageMaker, Amazon Redshift, Database Administration, Extract, Transform, Load, Databases, Relational Databases, Real Time Data, Cloud Applications, Database Management Systems, Scalability, Data Integration, Cloud Deployment, Middleware, Cloud-Based Integration, Web Services, Data Warehousing, Data Integrity
Skills you'll gain: Command-Line Interface, File Management, Unix Commands, Unix Shell, File Systems, Linux Commands, File I/O
Skills you'll gain: Bash (Scripting Language), Shell Script, Unix Shell, Data Wrangling, Data Analysis, Data Cleansing, Unix Commands, Data Transformation, Data Preprocessing, Data Processing, Command-Line Interface, Data Quality, Scripting, Exploratory Data Analysis, Data Manipulation, Linux Commands, Scripting Languages, Query Languages, Advanced Analytics
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: Responsible AI, Amazon Bedrock, Fine-tuning, Generative AI, AWS SageMaker, Generative Model Architectures, Machine Learning Methods, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Amazon Web Services, Machine Learning, Machine Learning Algorithms, Model Training, Applied Machine Learning, Model Optimization, Model Evaluation, Model Deployment, Artificial Intelligence, System Monitoring
In summary, here are 10 of our most popular aws cli (command line interface) courses
- CLI Automation with Amazon Q and CloudShell: Pragmatic AI Labs
- AWS Intelligent Applications with Amazon Bedrock: Pragmatic AI Labs
- AWS Generative AI and Foundation Models: Pragmatic AI Labs
- Enterprise AIOps with Amazon Q Business: Pragmatic AI Labs
- AWS Generative AI and AI Agents with Amazon Bedrock: Amazon Web Services
- Building CLI Applications with C Sharp and Dot Net: Packt
- Master Containerization with AWS: Simplilearn
- AWS Data, Integration and Modern Workloads: Packt
- Command Line (CLI) & Terminal Basics: Scrimba
- Apply Bash and AWK for Practical Data Analytics: EDUCBA
