Udemy

Amazon Bedrock with Amazon Q Developer-Zero to Hero | Python

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  • 750 Students
  • Updated 5/2025
4.6
(97 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
7 Hour(s) 2 Minute(s)
Language
English
Taught by
Karan Gupta - Coursediy.com
Rating
4.6
(97 Ratings)

Course Overview

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

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

Course Content

  • 10 section(s)
  • 71 lecture(s)
  • Section 1 Introduction
  • Section 2 Code & Playground - Explore & Relate with it
  • Section 3 Amazon Q Developer in Lambda
  • Section 4 Phase 1 - Using Code with different Models for PlayGround
  • Section 5 Foundation Concepts - Theoretical
  • Section 6 Phase 2 - Configurations - Inference Parameters
  • Section 7 Phase 3 - Additional Configurations
  • Section 8 Bedrock in Console - Safeguards
  • Section 9 Bedrock Builder Tools - Console
  • Section 10 Bonus

What You’ll Learn

  • 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
  • Optimize code performance with Amazon Q insights
  • Improve collaborative development workflows
  • Implement responsible AI practices and ethical considerations
  • Complete hands-on, real-world AI projects using Amazon Bedrock


Reviews

  • A
    Aprajita Yadav
    5.0

    great

  • I
    Iniyavan Murugesan
    5.0

    Good

  • S
    Subathra Perumalsamy
    5.0

    Good

  • G
    GUNDU RAAMA KRESHNA
    4.0

    good explanation

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