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💻   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.


💻   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)"


💻   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).


📱   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.

🖥   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. 👇

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🙂   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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Welcome to this second course in AI Python for Beginners: Automating Tasks with Python. Computers are amazing tools for getting stuff done. For example, you can have it search an entire book for a particular word. Or back up your family photos, or have it help you manage your personal collection of notes, or perform calculations on thousands of rows of sales data at work. And a computer will happily do the same thing over and over and do it accurately and predictably, and sometimes really, really fast. Computers can also automatically make decisions or help you make decisions. For example, we'll see a fun example later of using AI to help you decide what to work on next. We can have a look at what is high priority, and then help decide how to focus on the higher priority, rather than, say, the lower priority tasks on your to-do list. In the previous course, you learned some Python fundamentals such as: what is data, data types, how to do calculations, and what are variables and functions in Python. This course will build on those core concepts to go over how you can automate tasks with Python, by writing code that lets you tell it how to repeat actions and make decisions over and over and over. And we'll see some fun examples, such as some more complex ways of telling Python to store data. And you'll also see some special coding patterns, something called control statements, that that's a computer automatically decide to do something or to not do that something, depending on what data it sees. This will be useful for task prioritization or for using AI to create recipes, such as deciding whether or not to include certain ingredients, yes or no based on your friend's food preferences. Similar to the last course, you build some AI tools, as you go through this course. And these tools I hope will be useful for you, such as maybe help you customize recipes if you cook for your friends, or help you carry out high-priority tasks, or help you drop an email to your boss about your upcoming vacation or write a thoughtful birthday card message for a friend. And through this, you'll continue to use an AI chatbot to help you learn and code. So we continue to see how you can ask the chatbot questions about how Python works, or get this chatbot companion to help you write code or help you find bugs in the code. So lots of great stuff. And by the end of this course, you have leveled up significantly and built in the foundations you have from the previous course to build it to do much more. To have computers automate tasks for you. So that. Let's go on to the next video where you'll learn about a new type of data in Python called "a list". Previously, you learned about variables which can hold a number or a string. You know, kind of like one piece of data. Turns out lists can hold multiple pieces of data. Let's go on to the next video. Let's talk about that.
course detail
Next Lesson
AI Python for Beginners: Automating Tasks with Python
  • Introduction
    Video
    ・
    3 mins
  • Completing a task list with AI
    Video with Code Example
    ・
    13 mins
  • Repeating tasks with for loops
    Video with Code Example
    ・
    12 mins
  • Prioritizing tasks with dictionaries and AI
    Video with Code Example
    ・
    14 mins
  • Customizing recipes with lists, dictionaries and AI
    Video with Code Example
    ・
    6 mins
  • Comparing data in Python
    Video with Code Example
    ・
    11 mins
  • Helping AI make decisions
    Video with Code Example
    ・
    10 mins
  • Next course preview: working with files
    Video with Code Example
    ・
    4 mins
  • Course Feedback
  • Community