What you'll learn
AI Fundamentals
Machine Learning Types
Generative AI Fundamentals
Demo Lab on Machine Learning

Requirements
No Programming experience needed

Description
Generative AI refers to a type of artificial intelligence technology that can generate new content based on the data it has been trained on. This includes text, images, music, video, and other forms of media. The AI learns from a large dataset to recognize patterns, styles, or features and then uses this understanding to create new, original content that mimics the input it has studied.
The course will present you with a foundational understanding of AI. The course has several modules where you will be explained basic concepts around AI,
Machine Learning,

Deep Learning
,
Generative AI,
Large Language Models (
LLMs
) .
The Topics that will be covered are as follows:
AI Concepts & Workloads
What is AI ?
Benefits of Artificial Intelligence (AI)
Types of AI Workloads
AI vs ML vs DL
Quiz Time
AI Concepts Quiz
Machine Learning

Machine Learning - Real World Example
Machine Learning - Key Terminologies
What is Machine Learning ?
Types of Machine Learning
What is Supervised Machine Learning ?
What is Classification in SML ?
What is Regression in SML ?
What is Unsupervised Machine Learning ?
What is Re-inforcement Machine Learning
What is a Jupyter Notebook
Demo: Understanding the IRIS Dataset
Demo: Creating & Training your ML Model
Deep Learning
What is Deep Learning ?
What is a Neural Network ?
Deep Learning Models
What is a Transformer Model?
Demo: GANs - Deep Fake Video
Demo- Creating & Training Deep Learning Model
Generative AI
What is Generative AI ?
Predictive AI vs Generative AI
What is GPT ?
GPT-3 vs GPT-4
What is LLM ?
What is Embedding?
What is a Vector Database
Relationship between Embedding vs Vector Database
What is Prompt Engineering ?
AI Infrastructure
What is a GPU ?
Demo: CPU Vs GPU
What is High Performance Compute
What is RDMA Cluster Network
Who this course is for:
Beginners to Generative AI
Beginners to OpenAI / ChatGPT