Generative AI - A Introductory Course
BE FUTURE READY - LEARN GENERATIVE AI WITH DEMOS
Updated on Mar, 2026
Language - English
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
- Paid Professional Tier
- CodeWhisperer Features
- Steps to Use CodeWhisperer from Visual Studio (Free Setup)
- Instructions available in the last lecture (text format)
- Creating and converting code snippets in:
- Python
- C
- C++
- C#
- Java
- Automatic code snippet generation
- Automatic exception handling addition
- Code conversion from C to C#
3. Amazon Bedrock and Foundation Models
- Amazon Bedrock Tool
- Foundation Models
- Foundation Model Parameters
- RAG Framework and its benefits
- Amazon Titan Text
- Amazon Titan Embeddings
- AI21 Jurassic-2
- Anthropic Claude 2
- Stability AI (SDXL)
- Cohere Command
- InvokeModel API
- InvokeModelWithResponseStream API
4. AWS Tools Overview
- Amazon SageMaker
- Amazon EC2 Instances
- Amazon Trainium
- AWS Inferential
- Amazon EC2 Ultraclusters
- 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
Keshav Gulati is a passionate and knowledgeable instructor who focuses on making complex technical concepts simple and easy to understand. With a practical, hands-on teaching approach, he helps learners build real-world skills in areas like automation, programming, and emerging technologies. His teaching style is clear, structured, and beginner-friendly, making it easier for students from different backgrounds to follow along and gain confidence. Keshav is dedicated to helping students not just learn concepts, but actually apply them in real-life scenarios and grow in their careers.
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