Python for Data and AI Bootcamp

Master the fundamental parts of Python such as data types, operators, control statements, classes, objects, file handling, and more...

Sharpen problem solving skills - analyzing problems, creating algorithms, working with different data structures, and validation of multiple scenarios.

Apply the principles of object-oriented programming and learn to apply different design patterns.

Write clean code with exceptions and learn to debug and resolve errors.

Learn data analytics techniques to clean, manipulate, analyze, and visualize real-world datasets in order to generate insights and support data-driven decisions.

Build and evaluate basic supervised machine learning models using Python libraries, apply them to solve real-world problems, and interpret performance using appropriate metrics.

Apply unsupervised learning and basic NLP techniques to explore, analyze, and extract insights from unstructured data such as text and unlabeled datasets.

Build and consume APIs to integrate AI models into your applications. Use git to version control your code and collaborate with others

Design and develop AI-powered applications to perform tasks such as text generation, classification, or summarization.

Design, build, and test a Python-based backend system, apply security best practices, and implement testing strategies.

Integrate an NLP pipeline and an agentic AI component to a full stack data application.

Apply coding standards from Google. Implement fundamental design patterns and principles - MVC, DRY, SOLID.

Build debugging practices and leverage dev tools.

Build multiple applications individually and in a team. Apply best practices. Learn to do code reviews, and experience work in a scrum team.