Results for "aws+sam"
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: 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
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
Starweaver
Skills you'll gain: Terraform, AI Security, DevSecOps, Infrastructure as Code (IaC), Amazon Web Services, AWS CloudFormation, Amazon Elastic Compute Cloud, Cloud Security, Cloud Deployment, Firewall, Cloud Infrastructure, LLM Application, Application Deployment, Cloud Computing Architecture, Flask (Web Framework), Load Balancing, Analysis
Amazon Web Services
Skills you'll gain: Cloud Security, Amazon Web Services, Encryption, Data Security, Cryptography, Security Controls, Cryptographic Protocols
Skills you'll gain: Serverless Computing, Amazon Web Services, AWS CloudFormation, YAML, Cloud Development, Development Environment, Cloud Applications, Email Automation, Restful API, Amazon S3, Amazon DynamoDB, Node.JS, Computer Vision, AWS Identity and Access Management (IAM), Software Development Tools, Application Deployment, Integrated Development Environments, Debugging
What brings you to Coursera today?
Pragmatic AI Labs
Skills you'll gain: Amazon Bedrock, Serverless Computing, AWS SageMaker, Generative AI, AI Integrations, Token Optimization, AI Workflows, Amazon Web Services, Other Programming Languages, Rust (Programming Language), Analytics, Anomaly Detection, Performance Tuning, Development Environment, Performance Analysis, Python Programming, Operational Efficiency, Data Wrangling, Benchmarking, Cost Reduction
Amazon Web Services
Skills you'll gain: Infrastructure as Code (IaC), Serverless Computing, CI/CD, Data Infrastructure, Amazon Web Services, Continuous Integration, Data Architecture, AWS Identity and Access Management (IAM), Devops Tools, AWS CloudFormation, Security Controls, Cloud Applications, Amazon CloudWatch, Terraform, Authentications
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
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
Skills you'll gain: Serverless Computing, API Gateway, Image Analysis, Cloud-Based Integration, Amazon CloudWatch, Extensible Markup Language (XML), JSON, Computer Vision, Cloud Deployment, Restful API, API Design, Amazon Web Services, Event-Driven Programming, Amazon S3, Microservices, Cloud Development, AWS CloudFormation, Extensible Languages and XML, Cloud-Native Computing, Artificial Intelligence and Machine Learning (AI/ML)
Skills you'll gain: Kubernetes, Amazon Web Services, Amazon Elastic Compute Cloud, Cloud-Native Computing, AWS CloudFormation, Load Balancing, Cloud Infrastructure, Cloud Hosting, AWS Identity and Access Management (IAM), Serverless Computing, Docker (Software), Containerization, Cloud Storage, Scalability, Identity and Access Management, Cloud Deployment, Data Persistence, Application Deployment
In summary, here are 10 of our most popular aws+sam courses
- CLI Automation with Amazon Q and CloudShell:Â Pragmatic AI Labs
- AI Tooling Capstone: Serverless Multi-Model Systems:Â Pragmatic AI Labs
- DevOps and AI on AWS:Â Amazon Web Services
- DevSecOps & Cloud Security:Â Starweaver
- AWS Security – Encryption Fundamentals: Amazon Web Services
- Mastering AWS SAM and Lambda - A Complete Hands-on Journey:Â Packt
- AI-Powered Analytics and Performance Engineering:Â Pragmatic AI Labs
- Data Engineering on AWS - Foundations:Â Amazon Web Services
- AWS Generative AI Applications:Â Amazon Web Services
- AWS Generative AI and Foundation Models:Â Pragmatic AI Labs
