Claude with Amazon Bedrock Certified Course

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About Course

Claude with Amazon Bedrock is a comprehensive course designed to teach learners how to build, deploy, and scale Generative AI applications using Anthropic’s Claude models on Amazon Bedrock. The program covers Amazon Bedrock fundamentals, Claude model integration, prompt engineering, API implementation, knowledge bases, Retrieval-Augmented Generation (RAG), agent development, security, monitoring, and enterprise AI deployment. Participants will gain hands-on experience in developing secure, scalable, and production-ready AI solutions using AWS services, enabling organizations to accelerate AI adoption while maintaining governance, compliance, and high performance in cloud environments.

Key Features of Course Divine:

  • Collaboration with E‑Cell IIT Tirupati
  • 1:1 Online Mentorship Platform
  • Credit-Based Certification
  • Live Classes Led by Industry Experts
  • Live, Real-World Projects
  • 100% Placement Support
  • Potential Interview Training
  • Resume-Building Activities

Career Opportunities After Completing Claude with Amazon Bedrock:

  • Amazon Bedrock Developer
  • Generative AI Engineer
  • AWS AI Solutions Engineer
  • AI Application Developer
  • Cloud AI Engineer
  • AI Integration Engineer
  • LLM Application Developer
  • AI Platform Engineer
  • AI Backend Developer
  • AWS Cloud Developer
  • AI DevOps Engineer
  • AI Solutions Architect (Entry Level)
  • Enterprise AI Consultant

Essential Skills You Will Develop – Claude with Amazon Bedrock:

  • Understand Amazon Bedrock architecture and core services.
  • Integrate Claude models into AWS-based applications.
  • Master prompt engineering for enterprise AI solutions.
  • Build Retrieval-Augmented Generation (RAG) applications.
  • Develop AI agents using Amazon Bedrock.
  • Connect AI applications with AWS services and databases.
  • Implement secure authentication and access control.
  • Optimize AI applications for performance and scalability.
  • Monitor, deploy, and manage production-ready AI workloads.

Tools Covered:

  • Amazon Bedrock
  • Claude (Anthropic Models)
  • AWS Management Console
  • AWS IAM
  • AWS Lambda
  • Amazon S3
  • Amazon API Gateway
  • Amazon CloudWatch
  • Amazon DynamoDB
  • Amazon RDS
  • Amazon Knowledge Bases

Syllabus:

Module 1: Introduction to Amazon Bedrock

  • Overview of Amazon Bedrock
  • Claude Models on Bedrock
  • Generative AI Use Cases

Module 2: AWS Fundamentals

  • AWS Account Setup
  • IAM Users, Roles & Permissions
  • AWS Management Console

Module 3: Getting Started with Claude on Bedrock

  • Accessing Claude Models
  • API Authentication
  • Sending Your First Request

Module 4: Prompt Engineering

  • Prompt Design Principles
  • System & User Prompts
  • Prompt Optimization Techniques

Module 5: Building AI Applications

  • Chat Applications
  • AI Assistants
  • Business Automation Workflows

Module 6: Knowledge Bases & RAG

  • Amazon Knowledge Bases
  • Retrieval-Augmented Generation (RAG)
  • Context-Aware Responses

Module 7: AWS Service Integration

  • Amazon S3 Integration
  • AWS Lambda Functions
  • API Gateway Integration

Module 8: Database Integration

  • Amazon DynamoDB
  • Amazon RDS
  • Data Access & Retrieval

Module 9: Security & Governance

  • IAM Security Best Practices
  • Data Protection
  • AI Governance & Compliance

Module 10: Monitoring & Optimization

  • Amazon CloudWatch
  • Performance Optimization
  • Cost Optimization

Industry Projects:

  • Enterprise AI Chatbot using Claude on Amazon Bedrock
  • Retrieval-Augmented Generation (RAG) Knowledge Base
  • AI Customer Support Automation
  • Intelligent Document Processing System
  • AI-Powered Enterprise Search
  • Business Report & Document Generation
  • AI Workflow Automation using AWS Lambda
  • Claude-Powered Virtual Assistant
  • AI Email & Ticket Response Automation
  • Multi-Document Question Answering System
  • Amazon Bedrock API Integration Project

Who is this program for?

  • Software Developers
  • Python Developers
  • Cloud Engineers
  • AWS Developers
  • Full Stack Developers
  • Backend Developers
  • AI & Machine Learning Engineers
  • Generative AI Developers
  • LLM Application Developers
  • DevOps Engineers

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com

 

 

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