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In this advanced two-day course, software developers learn to build and customize AI solutions by using Amazon Bedrock programmatically. Through hands-on exercises and labs, participants will invoke foundation models through Amazon Bedrock APIs, implement Retrieval Augmented Generation (RAG) patterns with Amazon Bedrock Knowledge Bases, and develop AI agents with tool integration. The course focuses on the practical implementation of prompt engineering techniques, responsible AI practices with Amazon Bedrock Guardrails, open source framework integration, and architectural patterns for real-world business applications.

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What You'll Learn

  • Develop generative AI applications using Amazon Bedrock.
  • Design architecture patterns of generative AI applications.
  • Configure Amazon Bedrock APIs to invoke foundation models (FMs) programmatically. Develop agentic AI applications by integrating Amazon Bedrock tools and open source frameworks. 
  • Build custom solutions with Retrieval Augmented Generation (RAG) and Amazon Bedrock Knowledge Bases.
  • Integrate open source SDKs with Amazon Bedrock to build business.
  • Optimize model responses by applying prompt engineering techniques.
  • Evaluate generative AI application components.
  • Implement responsible AI practices to protect generative AI.

Who Should Attend

This course is intended for software developers.

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Prerequisites

We recommend that attendees of this course have:

  • Completed the Generative AI Essentials AWS instructor-led course
  • Intermediate-level proficiency in Python
  • Familiarity with AWS Cloud

Learning Journey

Coming Soon...

Day 1

Course Introduction


Module 1: Exploring Components of Generative AI Applications on AWS

  • Understanding generative AI concepts
  • Identifying AWS generative AI stack components
  • Designing generative AI application components

Module 2: Programming with Amazon Bedrock

  • Guiding model response generation
  • Using Amazon Bedrock programmatically

Hands-on lab: Develop with Amazon Bedrock APIs

Hands-on lab: Develop Streaming Patterns with Amazon Bedrock APIs

Module 3: Applying Prompt Engineering for Developers

  • Introducing prompt engineering
  • Introducing prompt techniques
  • Optimizing prompts for better results

Module 4: Using Amazon Bedrock APIs in Common Architectures

  • Implementing architecture patterns with Amazon Bedrock APIs
  • Exploring common use cases
  • Adding conversational memory to extend context

Hands-on lab: Develop Conversation Patterns with Amazon Bedrock APIs

Module 5: Customizing Generative AI Responses with RAG

  • Implementing Retrieval Augmented Generation (RAG)
  • Using Amazon Bedrock Knowledge Bases

Hands-on lab: Develop Retrieval Augmented Generation (RAG) Applications with Amazon Bedrock Knowledge Bases

Module 6: Integrating Open Source Frameworks with Amazon Bedrock

  • Invoking a foundation model in Amazon Bedrock using Lang Chain
  • Using Lang Chain for context-aware responses

Hands-on lab: Develop a Generative AI Application Pattern using Open Source Frameworks and Amazon Bedrock Knowledge Bases

Day 2

Module 7: Evaluating Generative AI Application Components

  • Evaluating application components
  • Evaluating model output
  • Evaluating RAG output
  • Optimizing latency and cost

Hands-on lab: Evaluating Retrieval Augmented Generation (RAG) Applications

Module 8: Implementing Responsible AI

  • Understanding responsible AI
  • Mitigating bias and addressing prompt misuses
  • Using Amazon Bedrock Guardrails

Hands-on lab: Securing Generative AI Applications Using Bedrock Guardrails

Module 9: Using Tools and Agents in Generative AI Applications

  • Using tools
  • Understanding AI agents
  • Understanding open source agentic frameworks
  • Understanding agent interoperability

Module 10: Developing Amazon Bedrock Agents 

  • Implementing Amazon Bedrock Flows
  • Designing Amazon Bedrock Agents
  • Developing Amazon Bedrock Inline Agents
  • Designing multi-agent collaboration
  • Using Amazon Bedrock AgentCore

Hands-on lab: Developing Amazon Bedrock Agents Integrated with Amazon Bedrock Knowledge

Bases and Guardrails

Course Wrap-Up

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Frequently Asked Questions (FAQs)

  • Why get AWS certified?

    AWS certifications validate your expertise in cloud computing and your proficiency in using AWS services.

    These certifications are globally recognized and highly sought after by employers, as they demonstrate your ability to design, deploy, and manage scalable and secure cloud solutions on the AWS platform.

    AWS-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.

  • What to expect for the examination?

    AWS offers a variety of certification exams at different levels (Foundational, Associate, Professional, and Specialty) covering various domains and services.

    The exams typically consist of multiple-choice and multiple-response questions, and some may include scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by AWS from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is AWS certification valid for?

    AWS certifications are valid for three years from the date of passing the exam.

    To maintain your certification, you will need to recertify by passing the latest version of the exam or completing the AWS Cloud Quest game-based training (if option is applicable).

    Note: Certification requirements and policies may be updated by AWS from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 24 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

Keep Exploring

Course Curriculum

Course Curriculum

Training Schedule

Training Schedule

Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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