Who is this class for?
This course is designed for beginners, working professionals, and aspiring developers who want to learn Python with a focus on AI, data engineering, and automation. It is ideal for individuals transitioning from non-programming backgrounds, as well as developers (e.g., Java professionals) who want to quickly gain proficiency in Python for modern AI and data-driven applications.

What will the students learn in this class?
Students will start with Python fundamentals and gradually progress to applying Python in real-world AI and data engineering scenarios. The course is highly practical and structured to ensure learners can build and deploy solutions.

Key learning outcomes include:

Python basics: variables, data types, loops, functions, and object-oriented programming
Writing clean, modular, and production-quality Python code with proper error handling
Working with data using libraries like Pandas and NumPy
Building data pipelines for extracting, transforming, and loading (ETL) data
Integrating Python with APIs, databases, and tools
Introduction to AI/ML workflows using Python
Automating business tasks and reporting processes

Hands-on exercises include:

Building small automation scripts
Processing real-world datasets
Creating reusable Python modules
Developing mini projects aligned with AI and reporting use cases

By the end of the course, students will be able to confidently write Python programs, work with data, and build foundational components for AI and data engineering systems.

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