AWS Advanced CLR LRG
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Developing Generative AI Applications on AWS

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...

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$1,460 USD
Duration 2 days
Course Code AWS-GENAI-APP
Available Formats Classroom, Virtual

Upcoming Course Dates

  • Mar 10, 2026 - Mar 11, 2026 (2 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
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  • Mar 30, 2026 - Mar 31, 2026 (2 days)
    Live Virtual | 9:00AM – 5:00PM PDT
    Language English
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    Live Virtual |9:00AM – 5:00PM PDT
    Live Virtual | 9:00AM – 5:00PM PDT
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  • May 5, 2026 - May 6, 2026 (2 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
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    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
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    Winter Promotion: Save on this course today.
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Overview

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.

  • This course includes presentations, demonstrations, hands-on labs, and group exercises.

Skills Gained

In this course, you will learn to do the following:

  • 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 Can Benefit

This course is intended for software developers.

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

Course Details

Exploring Components of Generative AI Applications on AWS

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

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

Applying Prompt Engineering for Developers

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

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

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

Integrating Open Source Frameworks with Amazon Bedrock

  • Invoking a foundation model in Amazon Bedrock using LangChain
  • Using LangChain for context-aware responses
  • Hands-on lab: Develop a Generative AI Application Pattern using Open Source Frameworks and Amazon Bedrock Knowledge Bases

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

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

Using Tools and Agents in Generative AI Applications

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

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
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Schedule

4 options available

  • Mar 10, 2026 - Mar 11, 2026 (2 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote
    Winter Promotion: Save on this course today.
    Promo Code: FROSTBYTE
  • Mar 30, 2026 - Mar 31, 2026 (2 days)
    Live Virtual | 9:00AM – 5:00PM PDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM PDT
    Live Virtual | 9:00AM – 5:00PM PDT
    Enroll
    Enroll Add to quote
    Winter Promotion: Save on this course today.
    Promo Code: FROSTBYTE
  • May 5, 2026 - May 6, 2026 (2 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote
    Winter Promotion: Save on this course today.
    Promo Code: FROSTBYTE
  • May 26, 2026 - May 27, 2026 (2 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote
    Winter Promotion: Save on this course today.
    Promo Code: FROSTBYTE

FAQ

Does the course schedule include a Lunchbreak?

Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does Ascendient Learning deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

What does vendor-authorized training mean?

As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

Is the training too basic, or will you go deep into technology?

It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

How up-to-date are your courses and support materials?

We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

Are your instructors seasoned trainers who have deep knowledge of the training topic?

Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.

Do you provide hands-on training and exercises in an actual lab environment?

Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

Will you customize the training for our company’s specific needs and goals?

We will work with you to identify training needs and areas of growth.  We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.

How do I get started with certification?

Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.

Will I get access to content after I complete a course?

You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.

How do I request a W9 for Ascendient Learning?

View our filing status and how to request a W9.

Reviews

This was a good program to get prepared for the solutions architect associate exam.

Very good material, the instructor was clear explaining the topics, and the labs were easy to follow it.

The tool provided to practice the course teachings is very functional and easy to use.

Some Labs are very good but some steps it ask to update but its already updated, but overall its very good training.

Although there seemed to be too many links for the course, everything worked smoothly.