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Amazon Web Services

Bringing Ideas to Life Using AI

Amazon Web Services via edX

Overview

Supercharge your AI knowledge into practical solutions in this hands-on course. Learn to use generative AI applications to grow your expertise and create real-world solutions, regardless of your professional background. The course emphasizes practical application development, exploring AI agents, cost considerations, and API interactions. You'll learn how to progress from proof-of-concept to minimum viable product, understand when to use custom models, and learn best practices for privacy and governance. The course concludes with practical guidance on implementing AI solutions responsibly and scaling them effectively.

Syllabus

Module 1: Exploring the future of possibilities
Submodule: C3-M1-A-00: Getting started
Video: C3-M1-A-10: Welcome to the Course
C3-M1-A-15 - Course Roadmap (Graphic)
Reading: C3-M1-A-20: Welcome to the Course Reading
Video: C3-M1-A-30: Let’s talk about some ideas!
Video: C3-M1-A-40: How can I get inspired to use AI and GenAI to help bring ideas to life?
C3-M1-A-50 Module 1 Quiz

Module 2: Learning about AI Products
Submodule: C3-M2-A-00: Using AI to assist on tasks
Video: C3-M2-A-10: How much coding knowledge suffices to create a POC?
Explore No-code, low-code, full-code
Video: C3-M2-A-20: Amazon Q Developer: a friendly helper at your service
Reading: C3-M2-A-30 - Amazon Q developer integrations in your computer
Video: C3-M2-A-40: The basics of functions and APIs
Submodule: C3-M2-B-00: Costs and ideas
Video: C3-M2-B-10: Understanding AI Costs
Reading: C3-M2-B-20: AWS Pricing Pages Links
Video: C3-M2-B-30: Tech Talk: Let’s talk about using genAI to transform ideas into reality
C3-M2-B-40 Module 2 Quiz

Module 3: Maturing ideas into business
Submodule C3-M3-A-00: Let’s talk about business, shall we?
Video: C3-M3-A-05: Module intro

Video: C3-M3-A-10: When is it time to use custom models?
Reading: C3-M3-A-20: What is the Generative AI Partner Innovation Alliance?
Video: C3-M3-A-30: Privacy, Governance, and Compliance for genAI applications
Self-Paced Lab: C3-M3-A-50: Securing AI with Amazon Bedrock Guardrails

Reading: C3-M3-A-40: Responsible AI
Submodule: C3-M3-B-00: Recap and next steps
Video: C3-M3-B-10: Bringing an idea to life with Amazon Q Developer
Video: C3-M3-B-20: Maturing ideas into real life products
Video: C3-M3-B-99: Course/Series Recap and Next Steps
C3-M3-B-100 Module 3 Final Assessment

Taught by

Rafael Lopes, Alex G and Oksana Hoeckele

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