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
软件开发
Palo Alto,California 1,100,245 位关注者
Making world-class AI education accessible to everyone
关于我们
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.
- 网站
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https://DeepLearning.AI
DeepLearning.AI的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- Palo Alto,California
- 类型
- 私人持股
- 创立
- 2017
- 领域
- Artificial Intelligence、Deep Learning和Machine Learning
产品
DeepLearning.AI
在线课程平台
Learn the skills to start or advance your AI career | World-class education | Hands-on training | Collaborative community of peers and mentors.
地点
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主要
2445 Faber Pl
US,California,Palo Alto,94303
DeepLearning.AI员工
动态
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In software development, getting the perfect solution from an LLM isn't always a one-shot—it takes iterative development and feedback. Instructor Laurence Moroney explains how to use continuous prompting to refine code, tackle classic problems like factorials and palindromes, and ensure robust functionality. Enroll in our Generative AI for Software Development Skills Certificate to learn more practical strategies for using AI to elevate your code: https://hubs.la/Q02Z6LJD0
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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! 1?? Understand the fundamentals of AI technologies. 2?? Learn how to build and deploy machine learning systems. 3?? Build generative AI applications 4?? Explore AI solutions for specific industries and global challenges. 5?? 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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?? 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