I am writing a book - AI without Jargon for non-technical "curious" professionals
Below are the topics that would be there in the book.
The idea is to introduce the AI world to non-tech people with no coding, no maths, no statistics and no jargon.
Please have a look and in case you feel, any topic should or shouldn't be in it, let me know.
You will get the book for free if we end up incorporating your suggestions.
Course outline
Part 1 - Introduction
Hit the ground running by creating a basic ML model in just 4 minutes
Why the world needs AI? AI applications in real life
AI we saw in science fiction movies vs the actual AI
Traditional coding vs Machine learning
Can AI do anything?
What is human intelligence? Can Machines match human intelligence?
Can Machines surpass human intelligence?
Part 2 - Machine Learning
Common terms used in AI you must know
How does the Youtube Recommendation system work?
How AI predicts user behaviour?
How does Robot work?
Classification through ML models
Prediction through ML models
Anomaly detection through AI
How AI does Sentiment Analysis
How AI models have evolved?
Part 3 - Neural Networks
To start with, let's build an image classification model
How can we use existing pre-trained models?
What are Neural Networks?
How does the face attendance system work
Applications of AI in e-commerce
Why did Deep Learning take off
Convolutional Neural Networks and Recurrent Neural Networks
How Machine translates one language to another?
How AI helps in new drug discovery?
What is Generative AI?
Build an AI video generation tool yourself
What are transformers and Large Language Models?
Build a Chatbot that takes orders on your website yourself
Part 4 - AI and Society
Societal Implications of AI
Where AI can go wrong?
Regulations on AI
Ethics in AI
All practical use cases of AI
Future of AI
Part 5 - Further study
How to master AI
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