This course builds the strong programming foundation required for AI, Machine Learning, and Agentic AI development. Participants progress from Python fundamentals and core data structures through data analysis with NumPy and Pandas, API-driven automation, and the AI libraries (OpenAI APIs, Hugging Face, LangChain) used to build real AI applications. 

Course Content

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Week 1: Python Fundamentals I 

• Installing Python and setting up the development environment 

• Variables and data types 

• Operators and expressions 

• Input/output operations 

Week 2: Python Fundamentals II 

• Conditional statements (if/elif/else) 

• Loops (for, while) 

• Writing and using functions 

• Modules and packages 

Week 3: Object-Oriented Programming 

• Classes and objects 

• Inheritance and polymorphism 

• Encapsulation 

• Mini OOP project 

Week 4: Data Structures & Algorithms I 

• Lists and tuples 

• Dictionaries and sets 

• List and dictionary comprehensions 

Week 5: Data Structures & Algorithms II 

• Searching algorithms 

• Sorting algorithms 

• Time/space complexity basics 

Week 6: Data Analysis with NumPy 

• NumPy arrays and operations 

• Indexing, slicing, and broadcasting 

• Statistical operations 

Week 7: Data Analysis with Pandas 

• Series and Data Frames 

• Data cleaning and transformation 

• Grouping, merging, and pivoting data ​