AI/ML Basic Course (2026 Edition) Hybrid – Classroom + Online Training # [AI100]

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About Course

Goal: Build digital literacy, environment setup, and basic coding skills using following tools and technologies.
– Modern Computing Environment: Linux, WSL2, VS Code, Python environments,
Jupyter/Colab/Kaggle.
– Networking & Internet Basics: APIs, JSON, HTTP requests, REST fundamentals.
– Programming Fundamentals: Python syntax, OOP basics, modular functions.
– Data & Databases: SQL + NoSQL concepts, Pandas integration.
– Version Control & Collaboration: Git branching, pull requests, GitHub Actions.
– Hands-On Lab: Create & push Python project to GitHub, make API call.

“Students who successfully complete the course receive an AITE Certificate of Completion. This certificate is not a state professional license or third-party industry certification.”

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Course Content

Weekend 1: IT & Computer Fundamentals (12 hrs)
Goal: Build digital literacy, environment setup, and basic coding skills.

  • Modern Computing Environment (2 hrs)
  • Networking & Internet Basics (2 hrs)
  • Programming Fundamentals (4 hrs)
  • Data & Databases (2 hrs)
  • Version Control & Collaboration (2 hrs)

Weekend 2: Python for Data & ML Foundations (12 hrs)
Goal: Build Python, data, and math foundations for ML

Weekend 3: Core Machine Learning Algorithms (12 hrs)
Goal: Build hands-on skills with classical ML algorithms.