Visão Geral

O curso Build a Chatbot Powered by Amazon Lex and Bedrock foi desenvolvido para capacitar profissionais a criar, configurar e integrar chatbots inteligentes utilizando os serviços avançados da AWS. Combinando Amazon Lex(processamento de linguagem natural para criação de bots conversacionais) e Amazon Bedrock (plataforma para uso de modelos de IA generativa), o aluno aprenderá na prática como criar um chatbot moderno que compreenda linguagem natural, execute ações, gere respostas dinâmicas e se conecte a APIs e sistemas de backend.

Objetivo

Após realizar este curso Build a Chatbot Powered by Amazon Lex and Bedrock, você será capaz de:

• Criar, treinar e testar chatbots usando Amazon Lex.
• Integrar Lex com AWS Lambda para executar lógicas de negócio.
• Utilizar Amazon Bedrock para gerar respostas dinâmicas com IA generativa.
• Conectar o chatbot a APIs, bancos de dados e serviços externos.
• Implantar o chatbot em sites, aplicativos e plataformas de mensagens.
• Monitorar, acompanhar métricas e otimizar a performance do bot.

Publico Alvo

• Desenvolvedores backend e frontend que desejam criar chatbots inteligentes.
• Engenheiros de machine learning interessados em IA generativa na AWS.
• Profissionais de suporte, atendimento ao cliente, automação e TI.
• Estudantes e entusiastas de IA e chatbots.

Pre-Requisitos

• Conhecimentos básicos de AWS (IAM, Lambda, S3).
• Noções de programação (Python ou Node.js).
• Familiaridade inicial com conceitos de IA, NLP ou chatbots (desejável).

Materiais

Conteúdo Programatico

Module 1: Introduction to Conversational AI and AWS Services

1. Overview of chatbot technologies
2. Key concepts in Natural Language Processing (NLP)
3. Introduction to Amazon Lex
4. Introduction to Amazon Bedrock and foundation models

Module 2: Setting Up Your AWS Environment

1. IAM roles and permissions
2. Creating a development environment
3. Setting up AWS CLI and SDKs
4. Best practices for security and access

Module 3: Building a Basic Chatbot with Amazon Lex

1. Understanding intents, utterances, and slots
2. Designing conversation flow
3. Creating and training intents
4. Using slot types and validation rules
5. Testing your Lex chatbot

Module 4: Integrating Lex with AWS Lambda

1. Introduction to AWS Lambda
2. Writing Lambda functions with Python or Node.js
3. Returning dynamic responses
4. Handling errors and validations
5. Using Lambda to connect with external APIs

Module 5: Enhancing Chatbot Intelligence with Amazon Bedrock

1. Introduction to generative AI in Bedrock
2. Choosing the right foundation model
3. Prompt engineering techniques
4. Generating dynamic responses from Bedrock
5. Combining Lex + Bedrock for hybrid intelligent chatbots

Module 6: Advanced Features and Conversation Management

1. Context management in Lex
2. Multi-turn conversations
3. Session attributes and context variables
4. Custom slot types and entity resolution

Module 7: Integrating the Chatbot into Applications

1. Embedding the chatbot into web applications
2. Integrating with mobile apps
3. Using Amazon Connect for voice bots
4. Integration with messaging platforms (Slack, Facebook Messenger, etc.)

Module 8: Data Storage and Logging

1. Storing conversation logs in S3
2. DynamoDB for user session management
3. CloudWatch for monitoring and debugging
4. Implementing analytics on chatbot performance

Module 9: Deployment, Testing, and Optimization

1. Testing strategies
2. A/B testing with different intents
3. Optimizing bot responses
4. Continuous improvement cycles
5. Best practices for scaling

Module 10: Hands-On Project

1. Designing an end-to-end intelligent chatbot
2. Integrating Lex + Lambda + Bedrock
3. Connecting external APIs
4. Deploying and testing your final solution