What You'll Learn
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Learn Python programming fundamentals and how to integrate AI tools for data manipulation, analysis, and visualization.
- Discover practical applications of Python in business, marketing, and journalism.
- Leverage AI assistants for code debugging, concept explanation, and enhanced learning.
About This Course
AI Python for Beginners teaches Python fundamentals and AI application skills in a hands-on, beginner-friendly approach. Throughout this
four-part series, you'll build practical AI tools like recipe generators and vacation planners, using a Jupyter Notebook environment with AI
chatbot support. The course is designed for both newcomers and experienced learners seeking to enhance productivity and gain AI integration
skills.
Hands-on Projects
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Custom Recipe Generator: Create a tool to generate recipes based on ingredients, learning variables and f-strings.
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Smart To-Do List: Build an AI-powered task manager that prioritizes items using lists and dictionaries.
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Travel Blog Analyzer: Develop a program to analyze travel blogs, extracting information like restaurant names using AI.
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Dream Vacation Planner: Create a tool that plans a multi-city itinerary, suggesting activities and restaurants.
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Data Visualization Project: Use libraries like Matplotlib to visualize data trends and statistics.
- Web Data Extraction: Scrape websites with BeautifulSoup to gather data for analysis.
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Real-time Data Application: Fetch and process live data, such as weather or exchange rates, through APIs.
Course Outline
Course 1: Basics of AI Python Coding
In this course, you'll learn Python basics while building AI-powered tools. You'll use Jupyter Notebooks to practice core programming skills,
working with an AI chatbot to enhance your coding experience.
- Introduction: Overview of Python and AI applications.
- What is computer programming?: Learn the basics of programming and its uses.
- Writing code with chatbots: Start coding with AI-assisted guidance.
- Navigating the learning platform: Get comfortable with the Jupyter Notebook environment.
- Running your first program: Write and execute your first Python code.
- Data in Python: Explore Python data types and operations.
- Combining text and calculations: Learn how to manipulate text and numbers.
- Variables: Understand variables and data storage.
- Building LLM prompts with variables: Use f-strings to create LLM prompts.
- Functions: Actions on Data: Learn how to create and use functions.
Course 2: Automating Tasks With Python
This course introduces automation in Python. You'll write scripts to automate daily tasks, enhancing productivity with practical coding
solutions.
Course 3: Working With Your Own Data and Documents in Python
Learn how to analyze, modify, and interpret your own data, working with files and various data formats, and use AI to extract insights.
Course 4: Extending Python With Packages and APIs
Gain skills in working with external libraries and APIs. You'll learn how to access and manipulate real-time data, creating applications with
real-world relevance.
Who Should Join?
This course is perfect for beginners curious about Python programming and AI, as well as professionals looking to enhance productivity by
integrating AI into their workflow. Ideal for students, career changers, knowledge workers, lifelong learners, and educators.
Frequently Asked Questions
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Do I need to take the courses in a specific order? Each course builds on the previous one, so following the sequence is
recommended for best results.
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Who is this course for? Suitable for beginners to professionals interested in Python and AI-assisted coding.
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Do I need prior coding experience? No prior experience required, as the course starts from the basics.
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How will AI tools assist me in this course? AI tools provide code suggestions, debugging help, and explanations to
accelerate your learning.
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What kind of support will I have during the course? You'll have access to an AI chatbot for instant feedback,
troubleshooting, and guidance.