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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).

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Course Syllabus

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Welcome to AI Python for Beginners. Whatever your job role and career goals, including if is not to become an AI developer or software engineer, I'm glad you're here. And I hope to show you by the end of this course, that coding is useful, fun, and can help you in your day-to-day work and life. Ten years ago, if you'd asked me if everyone should learn to code, I would have said "no". Because learning to code took quite a bit of work and it wasn't clear, you know, what exactly the use cases were for people beyond really technical roles. But the rise of AI, specifically tools like ChatGPT and Generative AI, I think that equation has changed. I'm seeing that many people in journalism, marketing, or business research or investing or administrative roles are finding it useful to write a little bit of code in their work and get things done. And if you can learn to write just a little bit of code, you'd be much more effective at many types of work, especially knowledge work. Since the release of ChatGPT and the wide availability of many generative AI tools, the way that people write code is different. Specifically with a chatbot companion, you never have to code alone. So it's as if you always have a buddy next to you that's actually pretty good at coding and can help you along with writing code. And this makes learning to code much easier. And later, once you're writing code yourself, an AI chatbot also makes your job much easier because you have this experienced buddy to help you along every single step. So these new AI tools have dramatically reduced the cost and effort needed to learn to code. Now, there are a lot of coding courses out there on the internet. One thing that distinguishes this course from many of those out there is you learn this new methodology of working alongside a chatbot while you code right away. So you'd be learning skills that I think would be much more future proof and more aligned with the way that professional coding is trending. With the widespread availability of AI, what you find is that you can really get AI to do a lot more for you, if you know just a little bit of coding. And that means that because AI is impacting pretty much all knowledge work, if you work in a knowledge worker type of job role, or maybe even if you don't, your ability to write just a little bit of code will be, I think, a significant productivity enhancer for you. So, I hope you enjoy the course and beyond it being practical and useful. I also don't want to understate that I think coding is just really fun. When you learn to code just a little bit, you get to do a lot of stuff that you just couldn't before. And I and many of my friends find that really fun. And I hope you will too. So let's go to the next video where you learn what is a programming language and how that lets us get computers to do more for us. I'll see you in the next video.
course detail
  • AI Python for Beginners
  • Week 1
Next Lesson
Week 1: Basics of AI Python Coding
  • Introduction
    Video
    ・
    3 mins
  • What is computer programming?
    Video
    ・
    5 mins
  • Writing code with chatbots
    Video
    ・
    6 mins
  • Navigating the learning platform
    Video
    ・
    3 mins
  • Running your first program
    Video with Code Example
    ・
    8 mins
  • How to succeed in coding
    Video
    ・
    2 mins
  • Data in Python
    Video with Code Example
    ・
    10 mins
  • Combining text and calculations
    Video with Code Example
    ・
    7 mins
  • Variables
    Video with Code Example
    ・
    7 mins
  • Building LLM prompts with variables
    Video with Code Example
    ・
    4 mins
  • Functions: Actions on Data
    Video with Code Example
    ・
    7 mins
  • Course Feedback
  • Community