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Why learn AI & Python?
Artificial
Intelligence and Python are among the most in-demand skills in today’s
technology market. Python is the leading programming language for AI, data
science, automation, and modern software development. Learning AI and Python
helps you:
• Build intelligent applications and automation tools
• Analyze and visualize data effectively
• Work with machine learning and deep learning models
• Increase your job opportunities in high-demand tech fields
Whether you are a beginner, a student, or a professional looking to upgrade
your skills, AI and Python training prepares you for the future of technology.
AI & Python Learning Structure Our AI & Python track is designed in
three progressive levels. Fundamentals (Beginner Level) Designed for students
with little or no programming experience. Courses:
• Introduction to Programming with Python
• Python for Data Handling
• Problem Solving with Python Skills Covered:
• Python syntax and logic
• Variables, conditions, and loops
• Functions and basic data structures
• File handling and simple projects Intermediate Level (Applied
Python & Data) Focuses on practical applications of Python in real-world
scenarios. Courses:
• Python for Data Analysis
• Data Visualization with Python
• Introduction to Machine Learning Skills Covered:
• Working with NumPy and Pandas
• Data cleaning and analysis
• Data visualization techniques
• Basic machine learning models Advanced Level (AI &
Machine Learning) For students who want to specialize in artificial
intelligence. Courses:
• Machine Learning with Python
• Deep Learning Fundamentals
• AI Project Development Skills Covered:
• Supervised and unsupervised learning
• Neural networks and deep learning
• Model evaluation and optimization
• Building end-to-end AI projects Recommended AI &
Python Learning Path
Step 1: Python Programming Introduction to Python
Learn the fundamentals of programming and problem solving.
Step 2: Data
& Analysis Python for Data Analysis Work with real datasets and build
analytical skills.
Step 3:
Machine Learning Machine Learning with Python Understand core AI concepts and
build predictive models.
Step 4:
Advanced AI (Optional) Deep Learning & AI Projects Develop advanced AI
applications and portfolio projects. Career Opportunities After completing the
AI & Python track, learners can pursue roles such as:
• Python Developer
• Data Analyst
• Machine Learning Engineer
• AI Developer
• Automation Engineer Contact For more information, course
schedules, or registration, please contact our IT Center ext. (270)
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