Mastering Gen Ai: From Ideation To Scalable Production

A Practical Guide to Building Secure, Efficient, and Business-Ready AI Solutions

What you'll learn

This course walks you through the generative AI journey

This course will give you full insights of Gen AI from ideation to production

This course you let you discover the best approach for each step of Gen AI from ideation to production

This course will let you aware of all the services of AWS which will be required in each steps of Gen AI journey from idea to productionizing the application

Requirements

You should come with open mind of learning the Gen AI from Ideation to Production, I hope ChatGpT has made everyone aware of Gen AI, that is more than enough.

Description

Course Overview: Generative AI – From Ideation to ProductionThis course takes you through the complete generative AI journey—from ideation to production—equipping you with the best strategies for each step. Whether you're a product or business professional looking to identify impactful AI use cases or a developer aiming to build secure, scalable AI applications, this course provides a comprehensive, hands-on approach.What You’ll Learn:Driving Business Use Cases and Value at Scale with Generative AI – Understand how AI can transform your organization.Data Platform Modernization for Generative AI Innovation – Learn how to optimize data infrastructure for AI success.The AWS Approach to Secure Generative AI – Explore security best practices for AI applications.7 Principles for Effective and Cost-Efficient Generative AI Apps – Develop AI solutions that are both powerful and sustainable.Building a Mature, Responsible Generative AI Platform on AWS – Create AI systems that are ethical, reliable, and enterprise-ready.By the end of this course, business leaders will be equipped to strategize AI implementations, while developers will gain a holistic understanding of generative AI use cases, challenges, and best practices for deployment at scale. Your though process will broaden and will be more realistic to pave the path for adoption and implementation of Gen AI or Agentic AI. Join us on this journey and unlock the potential of generative AI for your business!

Overview

Section 1: Introduction

Lecture 1 Introduction & Overview

Section 2: The Generative AI Journey

Lecture 2 Driving business use cases and value at scale with generative AI

Lecture 3 New York Life: Data platform modernization to generative AI innovation

Lecture 4 The AWS approach to secure generative AI

Lecture 5 What are 7 principles for effective and cost efficient generative AI apps

Lecture 6 How to build a mature generative AI platform responsibly on AWS

Section 3: Building and Scaling with Generative AI

Lecture 7 Scaling generative AI workloads with efficient model choice

Lecture 8 An overview of Amazon Nova understanding models

Lecture 9 Build scalable RAG applications using Amazon Bedrock Knowledge Bases

Lecture 10 Leveraging multiple agents for scalable Gen AI applications

Lecture 11 Introduction to Automated Reasoning checks in Amazon Bedrock Guardrails

Section 4: Using Generative AI in the Workplace

Lecture 12 What's new with Amazon Q business

Lecture 13 A fast and easy way to build applications with AWS App Studio

Lecture 14 Reimagine business intelligence with generative AI

Lecture 15 Unleashing Generative AI with Amazon Q Developer

Lecture 16 Accelerate multi-step SDLC tasks with Amazon Q Developer Agents

Section 5: Unified experience for your data and AI

Lecture 17 Build with data and AI faster in the next generation of Amazon SageMaker

Lecture 18 Store Apache Iceberg tabular data at scale with Amazon S3 Tables

Lecture 19 Accelerate your analytics and AI with Amazon SageMaker Lakehouse

Lecture 20 Build and optimize a data lake on Amazon S3

Lecture 21 Streamline data and AI Governance with Amazon SageMaker Catalog

Section 6: Build and train Foundation Models and LLMs

Lecture 22 Customize FMs with advanced techniques using Amazon SageMaker AI

Lecture 23 Train Generative AI Models on Amazon SageMaker AI for Scale and Performance

Lecture 24 Conquer AI performance, cost, and scale with AWS AI chips

Lecture 25 Build, train, and deploy ML models, including FMs, for any use case

Lecture 26 Accelerate ML workflows with Amazon SageMaker Studio

Section 7: Building a foundation data

Lecture 27 A practitioner’s guide to data for generative AI

Lecture 28 Get started with Amazon Aurora DSQL

Lecture 29 Unlock the power of your data with Amazon S3 Metadata

Lecture 30 Build streaming data into your data foundation

Lecture 31 An insider’s look into architecture choices for Amazon DynamoDB

This course is intended for any one wo would like to venture into Gen AI and Agentic AI space, from product owner, BA to DataScience, AI/ML Engineer.