Quick Guide & Tips

💻   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. 👇

👉👉 🔗 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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Welcome back!

Hi ,

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

DeepLearning.AI
Short CourseBeginner56 mins

Building an AI-Powered Game

Instructors: Niki Birkner, Nick Walton

Together AI, AI Dungeon logo

What you'll learn

  • Learn LLM app development by designing and developing a text-based AI game, creating immersive game worlds, characters, and storylines through hierarchical content generation.

  • Learn to implement game mechanics using AI to convert text data into structured JSON outputs, enabling features like an inventory detection system.

  • Learn to enforce safety and compliance for AI content creation, and create custom policies using Llama Guard.

About this course

Join our new short course, Building an AI-Powered Game, with Together AI and AI Dungeon! Learn from Niki Birkner, Senior Product Manager at Together AI, and Nick Walton, CEO and Co-Founder of Latitude.

This course teaches you how to build a LLM-based application by creating your own AI-powered text-based game. You’ll create a world with hierarchical content generation based on a prompt, setting up its core mechanics, and giving it a simple Gradio user interface.

By the end of this course, you’ll have a playable text-based game to share with your friends, built from scratch using LLMs. You will be guided through the building blocks of app development using LLMs, including incorporating safeguards using Llama Guard.

What you’ll do:

  • Use prompt engineering to create a world with hierarchical content generation so your narrative is consistent and the AI can flesh out your game.
  • Build the first version of your game with a user interface, load the world, and define the core action loop of the game, so you can have a game to play and interact with.
  • Implement safe user-dependent and context-dependent guardrails into your game application with Llama Guard and custom content policy.
  • Learn LLM tool calling by adding story and state components that improve your game’s memory, track inventory, and show progress.

With these techniques, you’ll hone your AI skills by building your own sharable game!

Who should join?

Anyone who has basic Python knowledge and wants to learn how to build with LLMs in a hands-on, fun way!

Course Outline

6 Lessons・4 Code Examples

  • Introduction

    Video・2 mins

  • Hierarchical Content Generation

    Video with Code Example・12 mins

  • Interactive AI Applications

    Video with Code Example・7 mins

  • Moderation & Safety

    Video with Code Example・11 mins

  • Implementing Game Mechanics

    Video with Code Example・12 mins

  • Conclusion

    Video・9 mins

  • Quiz

    Graded・Quiz

    ・10 mins

Instructors

Niki Birkner

Niki Birkner

Nick Walton

Nick Walton

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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