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Mastering Gen Ai: From Ideation To Scalable Production - AD-TEAM - 03-21-2025
![[Image: 0e781e5ad6e13b02f5c049f71d1359e3.jpg]](https://i124.fastpic.org/big/2025/0321/e3/0e781e5ad6e13b02f5c049f71d1359e3.jpg)
Mastering Gen Ai: From Ideation To Scalable Production
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.50 GB | Duration: 9h 6m
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
riving 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.
![[Image: 0kArm2Do_o.jpg]](https://images2.imgbox.com/c3/f5/0kArm2Do_o.jpg)
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