AI is for everyone! We’re here to help you get started.💡 From foundational concepts to solving real-world challenges, our long-form courses are designed for learners at every level. Swipe through to explore your next steps in learning to use and build with AI! Find your next course 👉 https://bit.ly/4eCo31k
DeepLearning.AI
Software Development
Palo Alto, California 1,099,201 followers
Making world-class AI education accessible to everyone
About us
DeepLearning.AI is making a world-class AI education accessible to people around the globe. DeepLearning.AI was founded by Andrew Ng, a global leader in AI.
- Website
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http://DeepLearning.AI
External link for DeepLearning.AI
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Palo Alto, California
- Type
- Privately Held
- Founded
- 2017
- Specialties
- Artificial Intelligence, Deep Learning, and Machine Learning
Products
DeepLearning.AI
Online Course Platforms
Learn the skills to start or advance your AI career | World-class education | Hands-on training | Collaborative community of peers and mentors.
Locations
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Primary
2445 Faber Pl
Palo Alto, California 94303, US
Employees at DeepLearning.AI
Updates
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Choosing a career in AI can transform your life—and our courses are designed to help you make it happen. Earning a DeepLearning.AI certificate means you can: 🎓 Strengthen your resume with recognized credentials. 🌟 Learn directly from AI leaders. 🔧 Tackle real-life challenges with hands-on experience. Starting next week, we’ll spotlight a longform program each week. What specializations have you taken, and what are you focusing on next? Explore all our courses here: https://hubs.la/Q02Z5LSF0
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Decart and Etched introduced Oasis, a platform that generates an open-ended, interactive Minecraft-like virtual world without using a game engine. The system creates video frames in real time based on user inputs, leveraging diffusion transformers and a ViT encoder for frame-by-frame generation. Users can interact with 360x360-pixel frames at 20 fps. The gameplay does have some limitations, but it's a promising application of AI technology to gaming. Learn more in #TheBatch: https://hubs.la/Q02Z60PF0
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Have you checked out our latest short course, Building an AI-Powered Game? In this course, you'll: 🎯 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. We can't wait to see your own game! Take this course for free: https://hubs.la/Q02Z5zCz0
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Everyone’s next step in their AI career looks different. 🌟 What’s your next AI goal? Let us know below, and we’ll recommend the perfect DeepLearning.AI course to help you get there! 1️⃣ Understand the fundamentals of AI technologies. 2️⃣ Learn how to build and deploy machine learning systems. 3️⃣ Build generative AI applications 4️⃣ Explore AI solutions for specific industries and global challenges. 5️⃣ Learn advanced tools and frameworks for AI development. Comment below to get our recommendations! Ready to explore? Check out our full course catalog here: https://hubs.la/Q02Z4JG20
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Recent reports say forthcoming large models from OpenAI, Google, and Anthropic no longer meet expected performance gains, despite increased training data, computing power, and architecture size. This challenges established empirical scaling laws that predict steady improvements with exponential growth in size and data. Companies are exploring alternative strategies like fine-tuning, multi-step inference, and synthetic data to improve model performance, but these approaches have shown mixed results. Learn more in #TheBatch: https://hubs.la/Q02Z3T5J0
AI Giants Rethink Model Training Strategy as Scaling Laws Break Down
deeplearning.ai
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📚 Python Basics Made Simple! In the #AIPythonforBeginners course series you will learn how to identify strings, integers, and floats with the type() function, and build a solid Python foundation for your AI journey. Take the first step and start learning today: https://hubs.la/Q02Z3lKX0
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DeepLearning.AI reposted this
🔬 Get Hands-On with AI in our Serverless Agentic Workflows with #AmazonBedrock course in partnership with DeepLearning.AI! 🔗 https://go.aws/4hRaRZj Practical labs include: * Creating a customer service bot for a tea mug business * Connecting agents to CRM services for real-time support * Implementing code interpreters for accurate calculations * Configuring guardrails to prevent unintended outputs Experience real-world AI development scenarios. Start your journey now!
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This week in The Batch, Andrew Ng discusses a small but growing trend of humans writing text (from code documentation to llms.txt files) designed to be read by large language models. Plus: 🎚️ Model scaling laws challenged 🎮 A video game without a game engine 💻 TSMC cancels advanced chip orders from China Read #TheBatch now: https://hubs.la/Q02Y-Kgl0
Next-Gen Models Show Limited Gains, Real-Time Video Generation, China AI Chips Blocked, and more...
deeplearning.ai
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DeepLearning.AI reposted this
Time to play! Build an interactive game from scratch with LLMs in this new short course: Building an AI-Powered Game. Created with Together AI and AI Dungeon/Latitude, taught by Niki Birkner, Senior Product Manager at Together AI, and Nick Walton, CEO and Co-Founder of Latitude. This course shows you how to use large language models to create and power a text-based game that you can share with your friends and family. You’ll build a world with hierarchical content generation, a method that allows you to leverage LLMs to create a vast amount of content with a high level of control and consistency. For instance, if you were building a fantasy world with several kingdoms, in which each kingdom has multiple towns, and each town has several locations and residents, creating all this content from scratch can easily become tedious and difficult to track. With hierarchical content generation, you can create information about your world, shape its direction with a human-in-the-loop, and keep it consistent, with little effort based on your prompts. By the end of this course, you’ll know how to prompt engineer to create a layered and interwoven world and integrate it into an AI roleplay game that is interesting, interactive, and safe to share with anyone. In detail, you’ll: - Learn to implement game mechanics using AI to parse text data into structured JSON output, enabling features like an inventory system. - Use game mechanics with story and state components that feed into one another to improve your game's memory, and gives the player a steady state of the world. - Learn to enforce safety and compliance for AI content generation and create custom policies using Llama Guard. With these techniques, you'll be equipped to build AI-powered applications, starting with your own game. Please sign up here: https://lnkd.in/gwwkVUwj