Amazon Bedrock with Amazon Q Developer-Zero to Hero | Python
Code Amazon Bedrock with Amazon Q Developer in Lambda using Python (Boto3). Use Q as Co-Pilot to code. Novice to Expert
Lo que serás capaz de hacer
Master Generative AI Development with Amazon Bedrock & Amazon Q Course Overview Dive into the cutting-edge world of generative AI development using Amazon's latest tools - Amazon Bedrock and Amazon Q. This comprehensive course will teach you how to build, deploy, and optimize AI-powered applications using Amazon's most advanced AI services. What You'll Learn Set up and configure Amazon Bedrock for AI model deployment Integrate foundation models like Claude, Llama 2, and Amazon Titan Develop with Amazon Q's AI-assisted coding capabilities Build production-ready applications using AWS AI services Implement best practices for prompt engineering and AI safety Create scalable and cost-effective AI solutions Course Content Section 1: Getting Started with Amazon Bedrock Introduction to Amazon Bedrock architecture Setting up your development environment Understanding foundation models and their capabilities API integration and authentication Section 2: Building with Foundation Models Text generation and completion Image generation and manipulation Code generation and optimization Fine-tuning models for specific use cases Section 3: Amazon Q Developer Experience AI-assisted code development Code review and optimization Documentation generation Security best practices implementation Section 4: Inference Parameters Code with Q for Bedrock Building a code with AI assistant Creating an AI-powered content generator Developing an image generation application Implementing a code refactoring system Section 5: Additional Configuration for Models System Prompts Max Length Stop Sequence Guardrails and Builder Tools Prerequisites Basic understanding of Python programming Familiarity with AWS services AWS account with appropriate permissions Who This Course is For Software developers looking to integrate AI into their applications Cloud engineers wanting to expand their AWS AI expertise Technical leads evaluating AI solutions for their organizations DevOps engineers interested in AI infrastructure
- Master the fundamentals of generative AI and its business applications
- Navigate the Amazon Bedrock console with confidence
- Master Amazon Q Developer setup and integration
- Create custom images with AI using simple text prompts
- Optimize AWS service utilization with Amazon Q
- Develop effective code generation skills using AI
Temario
UNIDAD 1 - Introduction · 1 leccionesUNIDAD 1 - Introduction
UNIDAD 1 - Introduction
- Introduction
UNIDAD 2 - Code & Playground - Explore & Relate with it · 9 leccionesUNIDAD 2 - Code & Playground - Explore & Relate with it
UNIDAD 2 - Code & Playground - Explore & Relate with it
- Introduction to Bedrock
- PartyRock - Experience Bedrock like ChatGPT
- Understanding Bedrock UI
- Enabling Model Access
- Post Model Access
- Can Amazon Q really help me in coding? - HandsOn
- Using Chat Playground
- Using Text Playground
- Using Image Playground
UNIDAD 3 - Amazon Q Developer in Lambda · 4 leccionesUNIDAD 3 - Amazon Q Developer in Lambda
UNIDAD 3 - Amazon Q Developer in Lambda
- Understanding Q Developer
- Functionality of Q Developer in Industry
- Chatting with Amazon Q
- Can we ask for code directly in Lambda?
UNIDAD 4 - Phase 1 - Using Code with different Models for PlayGround · 7 leccionesUNIDAD 4 - Phase 1 - Using Code with different Models for PlayGround
UNIDAD 4 - Phase 1 - Using Code with different Models for PlayGround
- How to use Amazon Q in Lambda with Bedrock?
- Bedrock with Text Model - Amazon Titan HandsOn
- Bedrock with Text Model - Claude Sonnet HandsOn
- Bedrock with Text Model - Llama HandsOn
- How to troubleshoot error if occurred in code?
- Bedrock with Image Model - Titan Image HandsOn
- Bedrock with Image Model - Stability.Ai
UNIDAD 5 - Foundation Concepts - Theoretical · 7 leccionesUNIDAD 5 - Foundation Concepts - Theoretical
UNIDAD 5 - Foundation Concepts - Theoretical
- What is AI
- What is Generative AI
- Opportunities available in GenAI
- AI, GenAI, ML, Deep Learning Relation
- FM vs LLM
- Understanding Prompt Engineering
- Types of Prompt Engineering
UNIDAD 6 - Phase 2 - Configurations - Inference Parameters · 15 leccionesUNIDAD 6 - Phase 2 - Configurations - Inference Parameters
UNIDAD 6 - Phase 2 - Configurations - Inference Parameters
- Understanding Inference Parameters
- Temperature Hands-On
- Temperature Code With Q developer - I HandsOn
- Temperature Code With Q developer - II HandsOn
- Top P Hands-On
- Top P Code With Q developer - I HandsOn
- Top P Code With Q developer - II HandsOn
- Top K Hands-On
- Top K Code With Q developer - I HandsOn
- Top K Code With Q developer - II HandsOn
- Most Probable Solution Hands-On
- Troubleshooting Scenario- Access Denied Error
- Troubleshooting Scenario- Timeout Error
- Troubleshooting Scenario- Validation Exception
- Troubleshooting Scenario- ModelAccess Error
UNIDAD 7 - Phase 3 - Additional Configurations · 7 leccionesUNIDAD 7 - Phase 3 - Additional Configurations
UNIDAD 7 - Phase 3 - Additional Configurations
- Additional Configurations
- System Prompts
- Code for System Prompt with Amazon Q Dev
- Maximum Length
- Code for Maximum Length with Amazon Q Dev
- Stop Sequence
- Code for Stop Sequence with Amazon Q Dev
UNIDAD 8 - Bedrock in Console - Safeguards · 4 leccionesUNIDAD 8 - Bedrock in Console - Safeguards
UNIDAD 8 - Bedrock in Console - Safeguards
- Understanding Safeguards
- Guardrails SetUp
- Using Guardrails
- Watermark Detection
UNIDAD 9 - Bedrock Builder Tools - Console · 16 leccionesUNIDAD 9 - Bedrock Builder Tools - Console
UNIDAD 9 - Bedrock Builder Tools - Console
- Understanding Builder Tools
- Prompt Management
- Knowledge Base - Using Root User
- IAM Users & Roles
- IAM Policy
- Knowledge Base - Using IAM User
- Understanding Agents
- Agents Walkthrough
- Creating Agents using Assistant
- Defining Agents Manually
- Adding Action Groups & Guardrails in Agents
- Understanding Prompt Flow
- Prompt Flow with KB
- PromptFlow with Prompt Management
- PromptFlow with Prompt Creation & KB
- PromptFlow with Condition
UNIDAD 10 - Bonus · 1 leccionesUNIDAD 10 - Bonus
UNIDAD 10 - Bonus
- Bonus Lecture!!
Tu certificado lo emite la SEP, no solo una plataforma
Al demostrar la competencia recibes un certificado emitido por la Secretaría de Educación Pública a través del Gobierno del Estado de México: un documento oficial que puedes presentar con confianza ante cualquier empleador o institución.
Tu certificado con INEC
- Lo emite la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México
- Documento oficial con folio verificable en línea
- Lo otorga la Universidad Tecnológica Fidel Velázquez
Otras plataformas en línea
- Constancia privada emitida por la misma plataforma
- Solo acredita horas cursadas o asistencia
- Sin respaldo de una autoridad educativa
Tu itinerario, de la inscripción al certificado
- 1
Inscripción con pago único
Pagas $2,800 MXN una sola vez y entras de inmediato al curso.
- 2
Estudias a tu ritmo
10 unidades con videos, lecturas y actividades, disponibles 24/7 durante 12 meses.
- 3
Cuestionarios por unidad
Cuestionarios para comprobar lo aprendido.
- 4
Certificado
Emitido por la SEP a través del Gobierno del Estado de México, con folio verificable.
Un certificado oficial de la SEP
Muestra · verificable por folio y QR
- Emitido por la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México. No es una constancia privada: es un documento oficial, y ese respaldo marca la diferencia frente a otras plataformas en línea.
- Contenido impartido por Karan Gupta.
- Folio y QR verificables para compartirlo con quien te contrate.
Empieza hoy, a tu ritmo
Un solo pago y acceso inmediato al curso completo durante 12 meses.
- 10 unidades · 71 lecciones · 50 h
- 12 meses de acceso
- Certificado emitido por la SEP (Gob. del Estado de México) con folio verificable
Sobre tu inscripción
¿Cómo es el pago?
Un solo pago de $2,800 MXN. No hay mensualidades ni cargos recurrentes.
¿Cuánto tiempo tengo acceso?
12 meses desde tu inscripción, 24/7, para avanzar a tu ritmo.
¿Quién imparte el contenido?
El curso es impartido por Karan Gupta; INEC gestiona tu inscripción, evaluación y certificado.
¿Qué pasa cuando vence mi acceso?
Puedes renovar tu cuenta tú mismo desde la plataforma, sin trámites ni esperas.
