This document provides an overview of an AI training session that includes: 1) An introduction to AI/ML concepts and use cases 2) Examples of AI tools like ChatGPT, DALL-E, Tome, Runway AI, and Midjourney 3) A roadmap for becoming a data scientist, data analyst, data engineer, ML engineer, or AIOps engineer 4) A hands-on session and bonus section to conclude the training

1. TODAY’S SCHEDULE
• INTRODUCTION
• USE CASES OF AI
• ROADMAP
• HANDS-ON-SESSION
• BONUS SECTION

2. INTRODUCTION
• WHAT IS AI?
• ML A SUBSET OF AI
• ML IN VARIOUS FIELDS
• WHY ML?

3. TYPES OF LEARNING IN AI
• SUPERVISED LEARNING
• UN-SUPERVISED LEARNING
• REINFORCEMENT LEARNING

4. ARTIFICIAL
INTELLIGENCE
USE CASES

5. Fascinating AI tools that are sure
to captivate your curiosity

6. ChatGPT - Conversing with a State of
the Art Language Model
ChatGPT is an AI language model that uses deep
learning algorithms to process and generate
natural language text.
ChatGPT uses a technique called "transformer
architecture" to process the input and generate
output.
This approach allows it to handle long sequences
of text and capture complex relationships
between words.

7. DALL-E - The AI Artist Revolutionizing
the World of Digital Art
Dall-E program uses a neural network that was
trained on a massive dataset of text-image pairs
to learn patterns and relationships between
words and visual concepts.
The generated images are not simply copies of
existing images but are original creations that
combine different visual concepts and ideas.

8. Tome is made by integrating Chat-GPT and Dall-e
to make effective presentations in fraction of
seconds.
The generated presentation can be customized
by the user, who can make edits and
adjustments to the content, design, and
structure.
Tome – Revolutionizing the Art of
Presentation Making

9. Runway AI - Where Creativity and Tech
Converge for Limitless Possibilities
Runway AI is a machine learning platform that
allows users to build and explore AI-powered
tools for creative expression.
Runway AI also includes a range of pre-built
models that can be used for tasks such as object
recognition, image generation, and text-to-
speech conversion.

10. Midjourney – It’s all about your
imagination
Mid journey is an AI tool to generate hyper
realistic images from few words of text.
It uses stable diffusion technology to generate
segments of images to and then merges it for
hyper realistic effects.
Most of the time the server is too busy.

11. Cosine Similarity – The foundation
of Recommender System
A recommender system is a system which uses
general mathematics to suggest similar entities
to the user.
It calculates the cosine of the angle between
two non-zero vectors, which ranges from -1 to 1.
It is widely used in natural language processing
and information retrieval to compare the
similarity of two documents or two pieces of
text.

12. ARTIFICIAL
INTELLIGENCE
ROADMAP
A PRACTICAL GUIDE

13. BASICS
Mathematics
• Linear Algebra
• Calculus
• Statistics
• Probability
Python Libraries
• NumPy
• Pandas
• Matplotlib
• Seaborn
Programming
• Python
• R
ML Algorithms
• Linear Regression
• Logistic Regression
• K Nearest Neighbors
• Naïve Bayes
• Support Vector Machine
• Decision Tree
Miscellaneous
• Git/GitHub/GitLab
• Streamlit
• Flask
ML Framework
• Scikit-Learn

14. DATA SCIENTIST/ANALYST
Mathematics
• Dimensionality Reduction
• Analytics Geometry
• Optimization
• Regression
• Classification
• Descriptive Statistics
• Inferential Statistics
• Distribution
• Correlation
• Hypothesis Testing
Data Visualization
• Excel
• Power BI
• Tableau
Statistics/Probability
Deep Learning
• Neural Networks
• Computer Vision
• Natural Language
Processing
Deployment
• Flask
• Django
• Heroku
• Cloud

15. DATA ENGINEER
Programming
• Python
• GO
Big Data
• Hadoop
• PySpark
• Kafka
• Scala
Databases
• SQL Database
• NoSQL Database
• Graph Database
Cloud Platforms
• Google Cloud
• Microsoft Azure
• AWS

16. ML/DL ENGINEER
ML Algorithms
• Regression
• Classification
• Decision Trees
• Ensemble Methods
• XGBoost
• Stacking/Blending
AI Frameworks
• TensorFlow
• Keras
• PyTorch
Neural Networks
• Perceptron
• Feed Forward Neural Network
• Convolutional Neural Network
• Recurrent Neural Network
• Generative Adversarial Network
Miscellaneous
• Transformers
• Diffusion Models
• Reinforcement
Learning
AI Domains
• Computer Vision
• Natural Language Processing
• Recommender Systems
• Autonomous Systems
• Robotics

17. AIOps ENGINEER
Basics
• Linux Commands
• Shell Scripting
CI/CD Pipeline
• Jenkins
• CircleCI
Containerisation
• Docker
• Kubernetes
Web Server
• Apache
• NGINX
Deployment
• Google Cloud
• AWS
• Heroku