In this course, we delve into the transformative impact of Artificial Intelligence (AI), drawing parallels to how mobile phones revolutionized access to information. Just as mobile technology reshaped our lives, AI is poised to revolutionize the job market in the next 5 to 10 years. Understanding and embracing AI today will position you for future success.
Why Python for AI:
Python is a gateway to the world of AI. It is a high-level, interpreted language known for its readability and simplicity, making it an excellent choice for beginners. Python’s straightforward syntax allows for an easy entry into programming and AI.
Applications of Python:
Python’s versatility is unparalleled and widely used in various fields, including:
- Mobile Application Development
- Data Science
- Automation
- Web Development
- Machine Learning
Data Science and Machine Learning, in particular, are in high demand, offering numerous job opportunities where Python plays a crucial role.
Learning Python:
Starting with Python sets the foundation for mastering AI and its numerous applications. Its user-friendly nature and robust community support make your learning journey both effective and enjoyable.
Course Highlights:
- Web Development: Create functional web applications using Django, emphasizing practical, hands-on experience.
- Data Analysis: Utilize powerful tools like Pandas and NumPy for trend analysis and average calculations.
- Machine Learning: Explore machine learning with TensorFlow and Scikit-learn, learning how to train models for various tasks and predictions.
- Automation: Learn web automation with Selenium and data extraction using Beautiful Soup, automating browsers and efficiently scraping data.
The Efficiency of Python:
Discover why Python is favored for its simplicity and power, particularly in AI and data science.
AI Tools:
Explore AI tools like ChatGPT to enhance your programming journey. These tools provide instant assistance, whether you need explanations of complex concepts, debugging help, or code snippets.
Python Learning Resources:
We recommend the following top resources to boost your Python learning experience:
- Codecademy: Interactive lessons and exercises.
- Python Documentation: Comprehensive official documentation.
- FreeCodeCamp: Interactive exercises and coding challenges.
Emphasis on Practical Learning:
Our course prioritizes understanding general concepts over rote memorization, with a strong emphasis on practical learning through AI tools.
Join us and embark on your journey to mastering Python and its vast applications today!
Curriculum
- 2 Sections
- 26 Lessons
- 10 Weeks
- Week 110
- 1.1Introduction to Python – Part A15 Minutes
- 1.2Introduction to Python – Part B12 Minutes
- 1.3Setting Up Visual Studio Code for Python Programming and Debugging6 Minutes
- 1.4Running Your First Program in Python and Debugging9 Minutes
- 1.5Taking Input from the User and Utilizing it8 Minutes
- 1.6Cleaning User Input Using ‘Methods’ of Strings6 Minutes
- 1.7Good Coding Practices14 Minutes
- 1.8Positional and Named Parameters in Python9 Minutes
- 1.9Joining String Together4 Minutes
- 1.10Assignments for Week 160 Minutes
- Week 216
- 2.0Manipulating Strings in Python14 Minutes
- 2.1Splitting Text and String Expressions in Python6 Minutes
- 2.2Data Types for Numbers in Python14 Minutes
- 2.3Mathematical Expressions and Operators in Python9 Minutes
- 2.4Defining a Custom Function in Python14 Minutes
- 2.5How to Get a Return Value from a Function in Python12 Minutes
- 2.6Conditional Statements – If, Elif and Else in Python10 Minutes
- 2.7Multiple Comparisons using If9 Minutes
- 2.8Determine if a Number is Odd or Even in Python9 Minutes
- 2.9Match – Case in Python8 Minutes
- 2.10Assignments for Week 290 Minutes
- 2.11While Loop In Python
- 2.12For Loops in Python
- 2.13Print Text Multiple Times in Python
- 2.14Infinite Loop Using While, Continue and Break Statements
- 2.15Detailed Look at Lists in Python