Short Course

AI Python for Beginners

Beginner

>

4 - 5 Hours

>

Andrew Ng

  • Learn Python programming fundamentals and how to integrate AI tools for data manipulation, analysis, and visualization.

  • Discover how Python can be applied in various domains such as business, marketing, and journalism to solve real-world problems and enhance efficiency through practical applications.

  • Leverage AI assistants to debug code, explain concepts, and enhance your learning, mirroring real-world software development practices.

What you’ll learn in this course

AI Python for Beginners is designed to help you leverage the power of Python programming, even if your goal isn’t to become a software developer or AI engineer. This four-part course teaches you to code practical AI applications from day one, whether you’re an experienced programmer, or writing “Hello, World!” for the first time. You’ll learn with support from an AI chatbot that can provide you with immediate feedback, answer your questions, quickly identify and work through bugs, and keep you on track while learning new skills. 

You’ll gain a foundational understanding of Python while using it to build AI-powered tools like custom recipe generators, smart to-do lists, and vacation planners, learning essential programming concepts such as variables, functions, loops, and data structures along the way. As you progress, you’ll work with your own data, extracting valuable insights from text files and structured data, including planning a dream vacation by having AI analyze travel blogs and generate personalized itineraries!

By the end of this course series, you’ll be able to write Python scripts that interact with large language models, automate tasks, and analyze your own data. You’ll even learn how to extend Python’s capabilities using popular third-party packages for data analysis and visualization, and how to access real-time information through APIs. These are skills that are increasingly valuable across industries from tech and finance to healthcare and creative fields.

Hands-on Projects

Throughout this course, you’ll engage in practical, hands-on exercises that reinforce your learning and demonstrate the wide range of possibilities for what you can create with Python and AI. Here are some of the projects you’ll work on:

  • Custom Recipe Generator: Create an AI-powered tool that generates unique recipes based on available ingredients. You’ll use variables, f-strings, and AI prompts to craft personalized culinary creations.
  • Smart To-Do List: Build an intelligent task manager that not only stores your to-do items but also prioritizes them using AI. You’ll apply your knowledge of lists, dictionaries, and decision-making code to enhance productivity.
  • Travel Blog Analyzer: Develop a program that reads travel blog entries and uses AI to extract key information like restaurant names and popular dishes. This exercise showcases your ability to work with files and leverage AI for text analysis.
  • Dream Vacation Planner: Create a sophisticated itinerary generator that takes a multi-city trip plan and uses AI to suggest daily activities, including restaurant recommendations. You’ll work with CSV files, dictionaries, and AI prompts to build this comprehensive travel tool.
  • Data Visualization Project: Using popular Python libraries like matplotlib, you’ll create visual representations of data. This could involve plotting price trends of used cars or visualizing travel statistics from your vacation planner.
  • Web Data Extraction: Use the BeautifulSoup library to scrape web pages and extract useful information, opening up a world of data for your projects.
  • Real-time Data Application: Build a program that interacts with web APIs to fetch and process real-time data, such as current weather information or live currency exchange rates.

These hands-on projects not only reinforce your Python skills but also demonstrate how AI and programming can be applied to solve real-world problems and enhance everyday tasks. By the end of the course, you’ll have a portfolio of practical AI-powered applications that you’ve built from scratch!

You’ll learn directly from Andrew Ng, a globally recognized AI leader known for his engaging teaching style. Andrew has educated around 8 million people worldwide through his online courses, helping them build foundational skills in AI and machine learning.

Accelerated Learning with AI

Experience a new kind of learning with AI chatbot integration. This intelligent assistant helps you write, test, and debug code, providing instant feedback and personalized guidance, making sure you’re never coding alone. With the rise of AI tools, the effort and time required to learn helpful coding skills have significantly decreased, making it more accessible and beneficial for everyone. You’ll be amazed at how quickly you can go from writing your first line of code to creating AI-powered applications that can process and analyze real-world data.

Who should join?

This course is for anyone curious about AI and programming with Python, from complete beginners learning to code for the first time to professionals seeking to boost productivity and learn how to properly integrate AI into their coding process. Ideal for students, career changers, knowledge workers, lifelong learners, and educators. If traditional coding courses haven’t worked or have felt intimidating, our hands-on, AI-focused approach will help you in your journey.

Whether you want to automate repetitive tasks, extract insights from large datasets, or create AI-powered tools to enhance your work or personal projects, this course will give you the skills to get started. By the end, you’ll not only understand Python basics but also know how to leverage powerful data analysis libraries, interact with web APIs, and set up Python on your own computer to continue your learning journey.

Skills you will gain

  • Python Programming
  • AI-Assisted Coding
  • Effective LLM Prompts
  • Data Structures
  • Function Creation
  • Variable Management
  • Debugging
  • File Handling
  • API Interaction

Syllabus

Frequently Asked Questions


What Learners From Previous Courses Say About DeepLearning.AI

Nicholas Muchinguri

“The Machine Learning course helped develop my problem-solving skills, inspired an attitude of experimentation, and shaped a passion for machine learning. Since then, I have automated several investment processes and experimented with investment data.”

Nicholas Muchinguri
Senior Trader, Vanguard Australia
Luo Yuzheng

“As a Behavioral Scientist, I was able to adopt methods to understand my customers better, overcome the traditional ‘one-size-fits-all’ approach, and design interventions which account for personality and individual differences.”

Luo Yuzheng
Assistant Director, Monetary Authority of Singapore
Chirag Godawat

“I gained confidence in my knowledge of machine learning. Since then, I’ve become a machine learning mentor, got a research paper published in IEEE, decided to pursue my Masters in Machine Learning, and was able to land a job at JP Morgan Chase.”

Chirag Godawat
Data Engineer, Vista
Hsin-Wen Chang

“The Machine Learning course became a guiding light. Andrew Ng explains concepts with simple visualizations and plots. I learned how to evaluate my training results and explain the outcomes to my colleagues, boss, and even the vice president of our company.”

Hsin-Wen Chang
Sr. C++ Developer, Zealogics
Aakash Saroop

“The Machine Learning course by Andrew Ng expanded my knowledge, so I could write a research paper on Facial Emotion Recognition and land an internship at Morgan Stanley.”

Aakash Saroop
Student, K. J. Somaiya College of Engineering

Instructor

Andrew Ng

Andrew Ng

Instructor
Founder, DeepLearning.AI; Co-founder, Coursera

Course access is free for a limited time during the DeepLearning.AI learning platform beta!

Want to learn more about Generative AI?

Keep learning with updates on curated AI news, courses, and events, as well as Andrew’s thoughts from DeepLearning.AI!