Artifical Intelligence and Data Science Course by Saylani Mass IT Training Institute (SMIT) - Saylani-AI-Batch2 (Faisalabad)

This course is being taught by Sir Ahmed Jajja and this is the original repository that my instructor created on 1st of October 2024. This is an Advance Artificial Intelligent and Data Science Course the Saylani Welfare is teaching for absolutely free

This is a course aimed at absolute beginners and I say this as a student of Saylani that it's better than even paid courses by institutes in Pakistan. Saylani is offering this absolutely free, the course is worth hundreds of dollars and they are making careers out of students. The instructor who is the first teacher of this course has been a Section Leader at Standford's code in Place and a number of other international hackathons is determined to make us grind in Leetcode, he has also Co-Founded a Software House and also worked as Full Stack Developer.

Artificial Intelligence Course Duration

This is a one-year program designed for absolute beginners who are passionate about Artificial Intelligence and Data Science. Preparing Pakistan for the new era of computing driven by the rise of AI.

How can students benefit from this?

If you're eager to learn Python, you can explore the assignments folder and try solving the questions on your own. If you're unable to complete a question, you can refer to the solutions I've provided. This AI program covers skills such as Data Science, Machine Learning, and Deep Learning. You'll always find code examples and solutions available in my repository.

AI and Data Science Proposed Course Outline:

Git and GitHub

• Version control basics
• Collaborating on projects using GitHub

Python Programming

• Core Python Syntax and Concepts
• Object-Oriented Programming Approach
• Writing Clean and Efficient Code

Grinding Leetcode

• How to get really good at data structures
• How to get win hackathons and gain international exposure

FastAPI/Flask

• Building RESTful APIs with FastAPI or Flask

Database Design and Implementation Using PostgreSQL

Langchain LLM (GPTs, Gemini)

• Understanding Large Language Models (LLMs)
• Implementing LLMs for various applications

Prerequisite Math Basics

• Some Math Topics will be taught so students can get better at Mathematics necessary for Machine Learning

Libraries and Tools:

• Scikit-learn: Machine Learning library for classical models
• NumPy & Pandas: Data Manipulation and Analysis
• Matplotlib: Data Visualization
• TensorFlow (Keras) & PyTorch: Deep Learning Frameworks

Docker

• Containerization Concepts
• Deploying Applications using Docker

Cloud Platforms

• Introduction to Cloud Computing
• Deploying and Managing Applications on Cloud Platforms