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Course description

This course is designed to introduce generative AI to software developers interested in leveraging large language models 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.

Course objective

Who is this course for

• Engineers

• Managers

Course Objectives

In this course, you learn how to:

• Define the importance of generative AI and explain its potential risks and benefits.

• Discuss the technical foundations and key terminology for generative AI.

• Recognize the benefits and use cases of Amazon Bedrock.

• Describe the basic functions, types, and various use cases of foundation models.

Prerequisites

Course outline

Section 1: Introduction to Generative AI - Art of the Possible

1. Machine Learning (ML)

2. What is Generative AI?

3. Importance of Generative AI

4. QUIZ

Section 2: Planning a Generative AI Project

1. Generative AI Fundamentals

2. Generative AI in Process

3. Generative AI Context

4. Steps in Planning a Generative AI Project

5. Risks and Mitigation

6. QUIZ

Section 3: Getting Started with Amazon Bedrock

1. TUT Introduction to Amazon Bedrock

2. TUT Architecture and Use Cases

3. TUT Using Amazon Bedrock

4. HOL: Amazon Bedrock

5. HOL: Amazon Q Developer

6. QUIZ

Section 4: Foundations of Prompt Engineering

1. TUT Basics of Foundation Models

2. TUT Fundamentals of Prompt Engineering

3. TUT / HOL Basic Prompt Techniques

4. TUT / HOL Advanced Prompt Techniques

5. HOL Fine-Tuning a Basic Text Prompt

6. TUT Model-Specific Prompt Techniques

7. TUT Addressing Prompt Misuses

8. TUT Mitigating Bias

9. HOL Image Bias-Mitigation

10. QUIZ

Section 5: Amazon Bedrock Application Components

1. TUT Application Components

2. HOL Word Embeddings

3. TUT Customizing a Foundation Model

4. HOL Model Fine-Tuning with Bedrock

5. QUIZ

Section 6: Amazon Bedrock Foundation Models

1. Overview

2. TUT Amazon Bedrock Foundation Models

3. HOL Amazon Bedrock set up, configuration and runtime related APIs

4. TUT Text Generation Architecture

5. TUT Text Summarization Architecture

6. HOL Invoke a Bedrock Model for Text Generation

7. QUIZ

Section 7: LangChain

1. Overview

2. TUT Using Models with LangChain

3. HOL Using Language Models with LangChain

4. HOL Amazon Bedrock with LangChain Using a Prompt

5. TUT LangChain Components

6. QUIZ

Section 8: Architecture Patterns

1. Overview

2. TUT Architecture Patterns

3. TUT Text Summarization of Small Files

4. TUT Abstractive Text Summarization

5. TUT Question Answering

6. TUT Chatbots

7. TUT Code Generation

8. TUT Integrating Amazon Bedrock Models with LangChain Agents

9. TUT Tech Talk

10. QUIZ

HOL Explore Generative AI Use Cases with LangChain and Amazon Bedrock

Testimonials

Chandra, CTA

It was great that…

Rohit, ABC Corp

It was a great experie....
First time...
Always