Python Fundamentals - AI Engineering
Embark on your AI career with Python, the language driving innovation in data science, software development, and automation. Master Python from scratch through self-paced lessons and real-world projects.

More ways to build job-ready skills
Course Overview
This comprehensive course, originally part of a live bootcamp, is now available as a self-paced journey for anyone eager to learn Python from the ground up. With no prior programming experience required, you'll delve into the essential concepts of Python, understand programming logic, and develop practical automation scripts applicable in professional IT environments.Course Content
The curriculum is designed to provide a solid foundation in Python, covering everything from installing essential tools like Python, VS Code, and Jupyter Notebook, to mastering variables, data types, and operators. You'll explore conditional statements, loops, and functions, enabling you to write reusable code effectively. The course also introduces you to working with lists, dictionaries, tuples, sets, file handling, and error management, preparing you for more advanced studies in data analysis and AI.Final Project
Concluding this course, you will undertake a project to create a Python automation or data-processing script. This project will demonstrate your grasp of Python essentials and will serve as a key addition to your portfolio as you advance to more complex aspects of AI and data science.What Youβll Learn
- Install and set up Python, VS Code, and Jupyter Notebook.
- Understand and apply Python variables, data types, and operators.
- Write and debug Python code using conditional statements and loops.
- Create functions for reusable code and manage data with lists, dictionaries, and sets.
- Handle files and manage errors effectively.
- Develop practical automation scripts in Python.
- Prepare for advanced stages of data analysis and AI learning.
Skills Covered
- Python installation and setup
- Programming logic
- Automation script development
- Function creation and reuse
- Data handling with Python structures
- File operations and error management
How This Course Helps You on the Job
- Transition into IT automation roles
- Enhance skills for AI and data science careers
- Develop a portfolio for job applications
- Improve problem-solving skills in software development
What Learners Say
This course is great for both beginner and intermediate level especially for beginner
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Introduction1 lessons Β· 0 free
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Introduction to Python Programming (Live Recording)1 lessons Β· 0 free
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Python Variables and Data Types (Live Recording)1 lessons Β· 0 free
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Python Variables, User Input, and Basic Programming1 lessons Β· 0 free
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Python Strings: Formatting, Escape Characters, and String Methods1 lessons Β· 0 free
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Python Booleans, Operators, and Lists1 lessons Β· 0 free
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Python Lists and List Operations1 lessons Β· 0 free
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Python Lists Copying, Joining and Tuples1 lessons Β· 0 free
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Python Sets, Dictionaries, Conditions, and Loops1 lessons Β· 0 free
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Python in Industry: AI, Automation, and Data1 lessons Β· 0 free
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Python Functions, Lambda, and Class Inheritance1 lessons Β· 0 free
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Basic Projects1 lessons Β· 0 free
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Polymorphism, Iterators, Variable Scope, and Standard Modules (DateTime & Math)1 lessons Β· 0 free
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Python File Handling & OS Operations1 lessons Β· 0 free
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Data Mining: Applications & Case Studies1 lessons Β· 0 free
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Python Mini Projects: Calculator, Games & Utilities1 lessons Β· 0 free
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Student Showcase: Building Games with Python1 lessons Β· 0 free
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Machine Learning Overview: From Python to AI1 lessons Β· 0 free
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Course Finale: Student Evaluation & Assessment2 lessons Β· 0 free
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Frequently Asked Questions
Who is this course intended for?
This course is ideal for beginners, IT support professionals moving into automation, students entering AI or data science fields, freelancers, and professionals preparing for AI careers.
What will I learn from this course?
You'll learn Python from scratch including installation, writing and debugging code, understanding variables and data types, handling files, and creating automation scripts.