Quick Guide & Tips

đŸ’»   Accessing Utils File and Helper Functions

In each notebook on the top menu:

1:   Click on "File"

2:   Then, click on "Open"

You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above.

đŸ’»   Downloading Notebooks

In each notebook on the top menu:

1:   Click on "File"

2:   Then, click on "Download as"

3:   Then, click on "Notebook (.ipynb)"

đŸ’»   Uploading Your Files

After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files.

📗   See Your Progress

Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one.

Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view).

đŸ“±   Features to Use

🎞   Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed.

🗣   Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish.

🔅   Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality, choose the quality that works the best for your Internet speed.

đŸ–„   Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode.

√   Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again.

🧑   Efficient Learning Tips

The following tips can help you have an efficient learning experience with this short course and other courses.

🧑   Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency.

📅   Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention.

Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals.

☕   Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective.

💬   Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable.

✍   Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects.

📚   Enroll in Other Short Courses

Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇

👉👉 🔗 DeepLearning.AI – All Short Courses [+]

🙂   Let Us Know What You Think

Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view).

Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum

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We'd like to know you better so we can create more relevant courses. What do you do for work?

DeepLearning.AI
CourseBeginner10 hours 15 mins

AI Python for Beginners

Instructor: Andrew Ng

DeepLearning.AI

  • Beginner
  • 10 hours 15 mins
  • 35 Video Lessons
  • 27 Code Examples
  • Instructor: Andrew Ng
    • DeepLearning.AI
    DeepLearning.AI

What you'll learn

  • 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.

About 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

Course Outline

AI Python for Beginners

Module 1: Basics of AI Python Coding
Module 2: Automating Tasks with Python
Module 3: Working with Your Own Data and Documents in Python
Module 4: Extending Python with Packages and APIs

Frequently Asked Questions

Do I need to take the courses in a specific order?

We recommend taking the courses in the prescribed order for a logical and consistent learning experience.

Who is this course for?

This course is for anyone curious about AI and programming with Python, from complete beginners to professionals seeking to boost productivity.

Do I need prior coding experience?

No prior coding experience is required. This course is designed to be accessible to complete beginners while also providing valuable insights for those with some coding background.

How will AI tools assist me in this course?

The integrated chatbot will help you write, test, and debug code, offering real-time feedback and personalized guidance to enhance your learning experience.

What kind of support will I have during the course?

You will have access to a community of learners and professionals, as well as continuous guidance and feedback from your AI companions.

Instructor

Andrew Ng

Andrew Ng

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?

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