Introduction to Python and AI

• Overview of Artificial lntelligence and its applications
• Introduction to Python programming language
• The Beginning of Your Programming Journey
• What is programming?
• What is AI?
• Getting Computers to Work for You
• What is Python?
• Python applications in IT?

Code editors and IDEs overview

• Use the command-line
• Use JupyterLab and Jupyter Notebooks
• Use Colab
• Use VS Code

Exploring Python syntax

• Declaring and initializing variables
• Understanding Data types
• Annotating variables by type
• Expressions, numbers, and type conversions
• Implicit vs explicit conversion
• Performing arithmetic calculations
• Making decisions
• Comparison Operators with Equations•
• Comparison Operators with Strings•
• Logical Operators•
• Branching with if, elif & else statements
• Formatting and slicing strings
• Introduction to Loops
• For loop
• While and Do While Loop
• Infinite Loops and How to Break Them
• Nested for Loops

Organizing and Structuring Code

• Defining functions
• Built-in functions
• Returning values

Data Structures

• What is a string? Parts of a String
• Creating New Strings
• String Methods and Formatting Strings
• What is a list?
• Modifying the Contents of a List
• Lists and Tuples
• Iterating over Lists and Tuples
• List Comprehensions
• List comprehension vs for loops
• Sets and Its Implementation
• What is a dictionary?
• Iterating over the Contents of a Dictionary

Graded Assessment

Grouping code into modules

• Importing and reloading modules
• Referencing functions from modules by qualification
• Combining modules into packages

Implementing Classes and Objects

• Declaring and modifying objects
• Encapsulating attributes and methods in classes
• Initializing objects with constructors
• Accessing derived data with properties

Inheritance and polymorphism

• Reusing functionality through inheritance
• Extending methods from base classes
• Overriding methods for dynamic behavior
• Tracing the scope in the namespace

Graded Assessment

Artificial Intelligence

• What is AI?
• Generative and Non-Generative AI
• Why Generative AI is in BOOM
• Miscellaneous AI Tools in Market

Understanding Core Concepts:

• Machine Learning
• Deep Learning
• Generative AI

Generative AI

• Statistical Machine Learning
• Neural Networks
• Recurrent Neural Networks
• Spatial Neural Networks called Transformer
• Large Language Model

LLM Models

• Commercial Models
  • GPT used by Chat GPT4
  • Gemini
• Open Source Models
  • Mistral
  • Llama2
• Image Models
  • Stable Diffusion
  • Dall-E

Developing an AI Application

• Understanding LangChain
• Connecting to AI platform for accessing LLM

Training Project (1 out of 3 given projects)

• Restaurant Name and Menu Generator using Commercial GPT Model
• Developing an Equity News Research Tool using Commercial GPT Model
• Q&A Tool for Retail Industry using OpenSource Model

Final Project