- Популярные видео
- Авто
- Видео-блоги
- ДТП, аварии
- Для маленьких
- Еда, напитки
- Животные
- Закон и право
- Знаменитости
- Игры
- Искусство
- Комедии
- Красота, мода
- Кулинария, рецепты
- Люди
- Мото
- Музыка
- Мультфильмы
- Наука, технологии
- Новости
- Образование
- Политика
- Праздники
- Приколы
- Природа
- Происшествия
- Путешествия
- Развлечения
- Ржач
- Семья
- Сериалы
- Спорт
- Стиль жизни
- ТВ передачи
- Танцы
- Технологии
- Товары
- Ужасы
- Фильмы
- Шоу-бизнес
- Юмор
Module 17 AWS Bedrock Boto3 & CLI Essentials AI Developer Professional AIP C01
Prepare for the AWS Certified AI Developer – Professional (AIP-C01) Certification with this hands-on Hindi/Hinglish training module on Amazon Bedrock Boto3 SDK and AWS CLI Essentials.
In Module 17, you will learn how to interact with Amazon Bedrock programmatically using the AWS Command Line Interface (CLI) and the Python Boto3 SDK. Understanding programmatic access to Foundation Models is essential for building real-world Generative AI applications, automating workflows, integrating enterprise systems, and successfully passing the AWS AI Developer Professional certification exam.
Topics Covered:
Introduction to Programmatic Access in Amazon Bedrock
AWS CLI Fundamentals
Installing and Configuring AWS CLI
AWS Credentials and Authentication
IAM Permissions for Amazon Bedrock
Amazon Bedrock API Overview
Working with Foundation Models Programmatically
Invoking Models Using AWS CLI
Understanding Bedrock Runtime APIs
Introduction to Python Boto3 SDK
Configuring Boto3 for Bedrock
Bedrock Runtime Client Setup
Text Generation with Boto3
Conversational AI Requests
Working with Inference Parameters
Managing Model Inputs and Outputs
Error Handling Best Practices
Security Considerations
Monitoring API Usage
Debugging Bedrock API Calls
Automation and Scripting Techniques
Real-World Integration Scenarios
Best Practices for Production Systems
AIP-C01 Certification Exam Tips
This module provides practical knowledge for developers who need to integrate Amazon Bedrock into applications, services, APIs, automation workflows, and enterprise AI platforms.
Who Should Watch?
AWS AI Developer Professional (AIP-C01) Candidates
AWS Developers
AI Engineers
Machine Learning Engineers
Python Developers
Cloud Architects
Solution Architects
DevOps Engineers
Platform Engineers
Generative AI Developers
Key Technologies Covered:
Amazon Bedrock, AWS CLI, Boto3, Python SDK, Foundation Models, Large Language Models (LLMs), Bedrock Runtime API, IAM, AWS Authentication, Generative AI, AI Application Development, AWS AI Services.
What You Will Learn:
How to access Amazon Bedrock using AWS CLI
Invoking Foundation Models programmatically
Using Boto3 to build AI applications
Configuring authentication and permissions
Handling API requests and responses
Integrating Bedrock into enterprise solutions
Important API concepts tested in AIP-C01
Certification Focus Areas:
Amazon Bedrock Fundamentals
Programmatic Model Access
AWS SDKs and APIs
Authentication and Authorization
Foundation Models
AI Application Development
Enterprise AI Integration
Real-World Use Cases:
AI Chatbots
Enterprise Knowledge Assistants
Automated Content Generation
AI-Powered Applications
Customer Support Automation
Document Processing Systems
Workflow Automation
Backend AI Services
API-Based AI Integrations
Practice Tests, Mock Exams, Interview Questions, Certification Books & Training:
Visit QuickTechie.com
Subscribe for more AWS Certification, Artificial Intelligence, Generative AI, Cloud Computing, Machine Learning, Python Programming, Data Engineering, and Software Development tutorials.
#AWSAIDeveloperProfessional #AIPC01 #AmazonBedrock #Boto3 #AWSCLI #PromptEngineering #GenerativeAI #FoundationModels #LLM #LargeLanguageModels #AWSAI #AWSCertification #ArtificialIntelligence #Python #PythonDeveloper #AIEngineer #MachineLearning #AWSDeveloper #CloudComputing #AmazonWebServices #AWSHindi #HindiTech #BedrockAPI #SDK #APIIntegration #EnterpriseAI #GenAI #AWSTraining #QuickTechie #AWSProfessionalCertification #BedrockTutorial #Automation #CloudDevelopment #KnowledgeAssistants #BusinessAutomation #FoundationModelDevelopment #AWSSDK #DevOps #AIApplications
Видео Module 17 AWS Bedrock Boto3 & CLI Essentials AI Developer Professional AIP C01 канала QuickTechie Official
In Module 17, you will learn how to interact with Amazon Bedrock programmatically using the AWS Command Line Interface (CLI) and the Python Boto3 SDK. Understanding programmatic access to Foundation Models is essential for building real-world Generative AI applications, automating workflows, integrating enterprise systems, and successfully passing the AWS AI Developer Professional certification exam.
Topics Covered:
Introduction to Programmatic Access in Amazon Bedrock
AWS CLI Fundamentals
Installing and Configuring AWS CLI
AWS Credentials and Authentication
IAM Permissions for Amazon Bedrock
Amazon Bedrock API Overview
Working with Foundation Models Programmatically
Invoking Models Using AWS CLI
Understanding Bedrock Runtime APIs
Introduction to Python Boto3 SDK
Configuring Boto3 for Bedrock
Bedrock Runtime Client Setup
Text Generation with Boto3
Conversational AI Requests
Working with Inference Parameters
Managing Model Inputs and Outputs
Error Handling Best Practices
Security Considerations
Monitoring API Usage
Debugging Bedrock API Calls
Automation and Scripting Techniques
Real-World Integration Scenarios
Best Practices for Production Systems
AIP-C01 Certification Exam Tips
This module provides practical knowledge for developers who need to integrate Amazon Bedrock into applications, services, APIs, automation workflows, and enterprise AI platforms.
Who Should Watch?
AWS AI Developer Professional (AIP-C01) Candidates
AWS Developers
AI Engineers
Machine Learning Engineers
Python Developers
Cloud Architects
Solution Architects
DevOps Engineers
Platform Engineers
Generative AI Developers
Key Technologies Covered:
Amazon Bedrock, AWS CLI, Boto3, Python SDK, Foundation Models, Large Language Models (LLMs), Bedrock Runtime API, IAM, AWS Authentication, Generative AI, AI Application Development, AWS AI Services.
What You Will Learn:
How to access Amazon Bedrock using AWS CLI
Invoking Foundation Models programmatically
Using Boto3 to build AI applications
Configuring authentication and permissions
Handling API requests and responses
Integrating Bedrock into enterprise solutions
Important API concepts tested in AIP-C01
Certification Focus Areas:
Amazon Bedrock Fundamentals
Programmatic Model Access
AWS SDKs and APIs
Authentication and Authorization
Foundation Models
AI Application Development
Enterprise AI Integration
Real-World Use Cases:
AI Chatbots
Enterprise Knowledge Assistants
Automated Content Generation
AI-Powered Applications
Customer Support Automation
Document Processing Systems
Workflow Automation
Backend AI Services
API-Based AI Integrations
Practice Tests, Mock Exams, Interview Questions, Certification Books & Training:
Visit QuickTechie.com
Subscribe for more AWS Certification, Artificial Intelligence, Generative AI, Cloud Computing, Machine Learning, Python Programming, Data Engineering, and Software Development tutorials.
#AWSAIDeveloperProfessional #AIPC01 #AmazonBedrock #Boto3 #AWSCLI #PromptEngineering #GenerativeAI #FoundationModels #LLM #LargeLanguageModels #AWSAI #AWSCertification #ArtificialIntelligence #Python #PythonDeveloper #AIEngineer #MachineLearning #AWSDeveloper #CloudComputing #AmazonWebServices #AWSHindi #HindiTech #BedrockAPI #SDK #APIIntegration #EnterpriseAI #GenAI #AWSTraining #QuickTechie #AWSProfessionalCertification #BedrockTutorial #Automation #CloudDevelopment #KnowledgeAssistants #BusinessAutomation #FoundationModelDevelopment #AWSSDK #DevOps #AIApplications
Видео Module 17 AWS Bedrock Boto3 & CLI Essentials AI Developer Professional AIP C01 канала QuickTechie Official
Комментарии отсутствуют
Информация о видео
14 июня 2026 г. 14:11:58
00:13:51
Другие видео канала




















