Results for "aws chatbot implementation"
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Natural Language Processing, Text Mining, Data-Driven Decision-Making, Usability Testing, Embeddings, Usability, Unstructured Data, Model Evaluation, Data Analysis
Status: Free TrialStatus: AI skillsAmazon 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
Status: Free TrialLearnKartS
Skills you'll gain: Prompt Engineering, Responsible AI, Prompt Engineering Tools, Computer Vision, Model Optimization, Generative Model Architectures, Machine Learning Methods, AI Workflows, Machine Learning Algorithms, Applied Machine Learning, Artificial Intelligence, Model Training, Cloud Security, Amazon Elastic Compute Cloud, Risking, AI literacy, Embeddings, MLOps (Machine Learning Operations), Deep Learning, Data Wrangling
Status: NewStatus: PreviewStarweaver
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
Status: Free TrialStatus: AI skillsAmazon 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
Status: NewStatus: PreviewNeal Davis
Skills you'll gain: Prompt Engineering, Responsible AI, Model Evaluation, Generative Model Architectures, Model Deployment, Generative AI, Model Training, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Data Governance, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Large Language Modeling, Data Ethics, Taxonomy, Natural Language Processing
What brings you to Coursera today?
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
Status: NewSkills you'll gain: Google Gemini, Development Environment, Gemini, Cloud Deployment, LLM Application, Artificial Intelligence, Generative AI Agents, Large Language Modeling, Generative AI, Systems Architecture, Application Deployment, AI Workflows, AI Integrations, Application Development, Software Architecture, Software Development Tools, File Management
Status: NewStatus: Free TrialPragmatic 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
Status: NewSkills 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, Model Optimization, Model Evaluation, Model Deployment, Artificial Intelligence, System Monitoring
Status: NewStatus: Free TrialSkills 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
Status: NewStatus: Free TrialPragmatic 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)
In summary, here are 10 of our most popular aws chatbot implementation courses
- Create Chatbots & NLP Apps: Coursera
- AWS Generative AI Applications: Amazon Web Services
- AWS AI Practitioner Certification Prep: LearnKartS
- DevSecOps & Cloud Security: Starweaver
- AWS Generative AI and AI Agents with Amazon Bedrock: Amazon Web Services
- AWS Certified AI Practitioner Exam Prep: Neal Davis
- DevOps and AI on AWS: Amazon Web Services
- Introduction to Chatbots - Build Your First AI Assistant: Packt
- AWS Generative AI and Foundation Models: Pragmatic AI Labs
- Generative AI & AWS AI Practitioner Certification: Packt
