GENERATIVE AI
BE FUTURE READY - LEARN GENERATIVE AI WITH DEMOS
IT and Software ,Other IT and Software,Machine Learning
Lectures -10
Duration -3 hours
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Course Description
1- Generative AI Introduction- Introduction to Generative AI, Applications of Generative AI in the real world, Tools
for Generative AI (Amazon Bedrock, Amazon Sagemaker, Amazon EC2 instances, AWS Trainium, AWS Inferential, Amazon EC2 ultra clusters), Generative AI applications( AWS CodeWhisperer, Amazon Q, PartyRock, AWS HealthScribe )
2- Amazon Codewhisperer Application- Installation options - Free individual tier and Paid Professional Tier, Code Whisperer Features, Steps to Use CodeWhisperer from Visual Studio for Free. (You can connect Visual Studio to Code Whisperer now to get hands-on practice). The Instructions are available in the Text in the last Lecture of this tutorial for reference.
Demos of creating and converting code snippets in Python, C, C++, C#, and Java in Visual Studio covering Automatic creation of code snippets, Automatic Adding Exception handling code line items to existing codes, and converting code written in C language to C# language.
3- Amazon Bedrock tool, Foundation models, Foundation Models parameters, RAG Framework, and its benefits.
Common Amazon Bedrock models Overview, Amazon Titan text Overview, Amazon Titan Embeddings Overview, AI21 Jurassic-2 Overview, Anthropic Claude 2 Overview, Stability AI (SDXL) Overview, Cohere Command Overview, InvokeModel API Overview, InvokeModelWithResponseStream API Overview.
4- An overview of Amazon SageMaker Tool, An overview of Amazon EC2 instances Tool, An overview of Amazon Trainium Tool,
An overview of AWS Inferential Tool, An overview of Amazon EC2 Ultraclusters tool
5- DEMOS OF 5 FREE AI TOOLS FOR PRACTICE
Goals
The course objectives are to make learners understand Gen AI use cases, models, and practice App building, code creation, code conversion, and more after watching 6 Demos of free AI tools.
Prerequisites
You can be from both technical or non-technical backgrounds to learn this curriculum and practice tools after installing tools and watching demos.

Curriculum
Check out the detailed breakdown of what’s inside the course
Generative AI Introduction
1 Lectures
-
GEN AI INTRODUCTION 16:36 16:36
Amazon Codewhisperer Application
2 Lectures

Amazon Bedrock tool , Foundation models , Foundation Models parameters , RAG Framework and its benefits
1 Lectures

An overview of Amazon SageMaker and other Tool
1 Lectures

FREE AI TOOLS DEMOS
5 Lectures

Instructor Details

Keshav Gulati
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