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FutureLearn

Generative AI (Gen AI) and LLMs on AWS

Pragmatic AI Labs via FutureLearn

Overview

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Develop industry-ready AI skills

In this eight-week course, you’ll dive into the essentials of AWS for AI and gain an introduction to the platform’s wide capabilities.

Through practical learning, you’ll cover key AWS AI services and create your first AI project. This will help you develop industry-relevant skills and gain hands-on experience building LLM pipelines.

With your exposure to cutting-edge AWS technologies, you’ll be more competitive in the job market.

Learn how to code with CodeWhisperer

You’ll be introduced to AI pair programming, starting with an exploration of AI-assisted coding principles and best practices.

Using CodeWhisperer, you’ll complete a coding project with enhanced efficiency and accuracy. Through practical sessions, you’ll refine your AI-assisted coding techniques.

Gain skills in using Amazon Bedrock

Next, you’ll gain hands-on experience with Amazon Bedrock – an essential tool for developing robust LLM pipelines.

Covering various components of an LLM pipeline, you’ll learn how to build and deploy your own, gaining invaluable experience for developing advanced AI solutions.

Understand LLM solutions

On the final week, you’ll unpack the production process of LLMs on AWS.

Delving into the best practices for deploying LLMs in production environments, you’ll learn how to scale and optimise solutions effectively.

During a final project, you’ll develop a production-ready LLM solution, cementing the knowledge and skills you acquired over the course.

By the end, you’ll be able to address real-world AI challenges and implement production-ready solutions.

This course is designed for anyone with basic programming knowledge who would like to expand their AI skills in a cloud environment.

It aims to help you advance your career in AI and cloud computing, particularly if you are in tech, finance, and research sectors.

Syllabus

  • Getting Started with Developing on AWS
    • Getting Started
    • Introduction to AWS Cloud Computing for AI
    • Set Up AI Focused Development Environments
    • Developing Serverless Solutions for Data, ML and AI
  • AI Pair Programming from Amazon Q to Prompt Engineering
    • Prompt Engineering
    • Getting Started with Amazon Q Developer
    • Amazon Q Developer for the Command-Line
  • Amazon Bedrock
    • What is Amazon Bedrock?
    • Getting Started with the Bedrock SDK
    • Invoking Bedrock via the SDK
  • Project Challenges
    • Challenge - From Rust Cargo Lambda to Bedrock Agents

Taught by

Noah Gift

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