Python Programming

Writing code to solve problems and automate solutions is a crucial skill for anyone in IT. This module teaches Python programming and its applications in system administration, automation, and cloud computing. Learners will gain hands-on experience with Git and GitHub, troubleshooting, debugging, and best practices in software development.

Applied Learning Project – Learners will complete a capstone project where they will automate system administration tasks using Python.

Prerequisites and Eligibility

No prior coding experience is required. Basic familiarity with computers and IT concepts is helpful.

SQL (Structured Query Language)

This module introduces learners to SQL and its applications in database management. SQL is a fundamental tool for querying, analyzing, and manipulating data in relational databases.

Applied Learning Project – Learners will design and query a relational database to solve real-world data problems.

Prerequisites and Eligibility

Basic understanding of data structures and programming concepts is helpful but not required.

Dataiku

This module introduces Dataiku, a collaborative data science platform, allowing users to build machine learning models and automate workflows.

Applied Learning Project – Learners will use Dataiku to build an end-to-end machine learning pipeline.

Prerequisites and Eligibility

Basic knowledge of data analysis and Python is recommended.

Power BI

This module covers business intelligence and data visualization using Power BI, a leading analytics tool.

Applied Learning Project – Learners will build an interactive business intelligence dashboard using real-world datasets.

Prerequisites and Eligibility

Basic knowledge of Excel or databases is recommended.

Py Spark

This module focuses on big data processing and distributed computing using PySpark.

Applied Learning Project – Learners will process and analyze large datasets using PySpark.

Prerequisites and Eligibility

Familiarity with Python and SQL is recommended.

Applied Machine Learning (AML)

This module provides hands-on experience with machine learning techniques and their applications.

Applied Learning Project – Learners will develop and fine-tune an ML model using real-world data.

Prerequisites and Eligibility

Python and statistics knowledge is recommended.

Applied Large Language Models (ALLM)

This module explores the applications of Large Language Models (LLMs) in NLP and AI-driven analytics.

Applied Learning Project – Learners will fine-tune an LLM for a specific NLP task.

Prerequisites and Eligibility

Familiarity with Python and machine learning concepts is recommended.