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Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Developing Generative AI Applications on AWS
This course is designed to introduce generative artificial intelligence (AI) to software developers interested in using large language models (LLMs) without fine-tuning. The course provides an...
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$1,460 USD
Duration
2 days
Course Code
AWS-GENAI-APP
Available Formats
Classroom, Virtual
Upcoming Course Dates
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Jul 14, 2026 - Jul 15, 2026 (2 days)
Live Virtual | 9:00AM – 5:00PM PDT Language English Select from 1 option(s) below Live Virtual | 9:00AM – 5:00PM PDT- Enroll
- Enroll Add to quote
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Aug 11, 2026 - Aug 12, 2026 (2 days)
Live Virtual | 9:00AM – 5:00PM EDT Language English Select from 1 option(s) below Live Virtual | 9:00AM – 5:00PM EDT- Enroll
- Enroll Add to quote
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Sep 8, 2026 - Sep 9, 2026 (2 days)
Live Virtual | 9:00AM – 5:00PM EDT Language English Select from 1 option(s) below Live Virtual | 9:00AM – 5:00PM EDT- Enroll
- Enroll Add to quote
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Overview
Course Description
This course is designed to introduce generative artificial intelligence (AI) to software developers interested in using large language models (LLMs) without fine-tuning. The course provides an overview of generative AI, planning a generative AI project, getting started with Amazon Bedrock, the foundations of prompt engineering, and the architecture patterns to build generative AI applications using Amazon Bedrock and LangChain.
Skills Gained
In this course, you will learn to do the following:
- Describe generative AI and how it aligns to machine learning
- Define the importance of generative AI and explain its potential risks and benefits
- Identify business value from generative AI use cases
- Discuss the technical foundations and key terminology for generative AI
- Explain the steps for planning a generative AI project
- Identify some of the risks and mitigations when using generative AI
- Understand how Amazon Bedrock works
- Familiarize yourself with basic concepts of Amazon Bedrock
- Recognize the benefits of Amazon Bedrock
- List typical use cases for Amazon Bedrock
- Describe the typical architecture associated with an Amazon Bedrock solution
- Understand the cost structure of Amazon Bedrock
- Implement a demonstration of Amazon Bedrock in the AWS Management Console
- Define prompt engineering and apply general best practices when interacting with foundation models (FMs)
- Identify the basic types of prompt techniques, including zero-shot and few-shot learning
- Apply advanced prompt techniques when necessary for your use case
- Identify which prompt techniques are best suited for specific models
- Identify potential prompt misuses
- Analyze potential bias in FM responses and design prompts that mitigate that bias
- Identify the components of a generative AI application and how to customize an FM
- Describe Amazon Bedrock foundation models, inference parameters, and key Amazon Bedrock APIs
- Identify Amazon Web Services (AWS) offerings that help with monitoring, securing, and governing your Amazon Bedrock applications
- Describe how to integrate LangChain with LLMs, prompt templates, chains, chat models, text embeddings models, document loaders, retrievers, and Agents for Amazon Bedrock
- Describe architecture patterns that you can implement with Amazon Bedrock for building generative AI applications
- Apply the concepts to build and test sample use cases that use the various Amazon Bedrock models, LangChain, and the Retrieval Augmented Generation (RAG) approach
Who Can Benefit
This course is intended for software developers.
- Software developers interested in using LLMs without fine
- tuning
Prerequisites
Recommended previous knowledge
- Completed _AWS Technical Essentials
- Intermediate-level proficiency in Python
Course Details
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
Schedule
6 options available
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Jul 14, 2026 - Jul 15, 2026 (2 days)
Live Virtual | 9:00AM – 5:00PM PDT Language English Select from 1 option(s) below Live Virtual | 9:00AM – 5:00PM PDT- Enroll
- Enroll Add to quote
-
Aug 11, 2026 - Aug 12, 2026 (2 days)
Live Virtual | 9:00AM – 5:00PM EDT Language English Select from 1 option(s) below Live Virtual | 9:00AM – 5:00PM EDT- Enroll
- Enroll Add to quote
-
Sep 8, 2026 - Sep 9, 2026 (2 days)
Live Virtual | 9:00AM – 5:00PM EDT Language English Select from 1 option(s) below Live Virtual | 9:00AM – 5:00PM EDT- Enroll
- Enroll Add to quote
-
Oct 6, 2026 - Oct 7, 2026 (2 days)
Live Virtual | 9:00AM – 5:00PM PDT Language English Select from 1 option(s) below Live Virtual | 9:00AM – 5:00PM PDT- Enroll
- Enroll Add to quote
-
Nov 3, 2026 - Nov 4, 2026 (2 days)
Live Virtual | 9:00AM – 5:00PM EST Language English Select from 1 option(s) below Live Virtual | 9:00AM – 5:00PM EST- Enroll
- Enroll Add to quote
-
Dec 1, 2026 - Dec 2, 2026 (2 days)
Live Virtual | 9:00AM – 5:00PM EST Language English Select from 1 option(s) below Live Virtual | 9:00AM – 5:00PM EST- Enroll
- Enroll Add to quote
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.
How do I find an Ascendient Learning training location?
We have training locations across the United States and Canada - View a complete list of classroom training locations.
Which delivery formats are available?
At Ascendient Learning, we offer training that is Instructor-Led, Online, Virtual, and Self-Paced.
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
Good training materials and lecture. And hands on lab and the instructor guiding was good.
Easy to work with. Learning material pdfs were able to be printed out in color which was very nice to write on.
the interface was super easy to use and the instructions to get ready for the course was also very simple and easy to understand.
I think the platform is very good and look forward to taking my next course in early October.
The tool provided to practice the course teachings is very functional and easy to use.
