DeepLearning.AI

📢 New short course in collaboration with @Oracle! Agent Memory: Building Memory-Aware Agents Learn how to design a memory system that lets AI agents store, retrieve, and refine knowledge across sessions. Taught by @RichmondAlake and Nacho Martínez. Enroll now: hubs.la/Q047ljGB0

A lot of beginners start their AI projects the wrong way. They start with the model. Which model is best? Which architecture should I use? But the most important question comes earlier. Who actually has the problem you’re trying to solve? Good AI projects start with real problems and real users. That’s what makes the technology matter. Learn how to build AI that solves real problems at @DeepLearningAI

AI isn’t just running in the cloud anymore. AI applications are increasingly running on edge devices, embedded systems, and in environments where connectivity and data residency matter. At AI Dev X SF, @ActianCorp is launching VectorAI DB, a portable vector database built for AI beyond the cloud. Developers can run AI applications across embedded, edge, on-prem, and hybrid environments while maintaining low-latency semantic search close to where applications run. Sign up for Early Access to learn more: hubs.la/Q047BxT70

Mobile AI apps saw explosive growth in 2025, with downloads doubling to 3.8 billion and revenue tripling to over $5 billion, according to Sensor Tower. AI chatbots like ChatGPT, Gemini, and DeepSeek dominate usage as people increasingly interact with AI through smartphone apps rather than the web or desktop. Learn more in The Batch hubs.la/Q047zSVB0

Everyone's building agents. Nobody's fixing the document layer. Agents orchestrate workflows perfectly. They break when documents get complex. Tables misread, layouts vary, values can't be traced. LandingAI is at AI Dev Day by @DeepLearningAI, April 28-29. David Park, our Senior Director of Applied AI is speaking on building the infrastructure layer that makes document understanding reliable for agentic systems. If document understanding is breaking your agentic workflows, come by.

OpenAI released GPT-5.4 Thinking and GPT-5.4 Pro, models with larger context windows and improved tool use that set new highs on benchmarks for coding and agentic tasks. The models power OpenAI’s improved Codex agent and rival Google’s Gemini 3.1 Pro Preview at the top of performance rankings, but they are priced at a premium. Learn more in The Batch hubs.la/Q047ndQt0

This Mindset Wins in the AI Era AI isn't your competition. It's your leverage, if you know how to use it. The workers falling behind aren't losing to AI. They're losing to the people who figured out how to direct it. Are you the manager or the one getting outpaced?

📢 New short course in collaboration with @Oracle! Agent Memory: Building Memory-Aware Agents Learn how to design a memory system that lets AI agents store, retrieve, and refine knowledge across sessions. Taught by @RichmondAlake and Nacho Martínez. Enroll now: hubs.la/Q047ljGB0

Many people start learning AI by reading about it. But the real shift happens when you start building. Going from understanding AI to creating applications usually happens step by step: first understanding how generative AI works, then learning the programming behind it, then working with LLMs, and eventually building full AI systems. Here are a few courses that walk through that path: Generative AI for Everyone hubs.la/Q047g3-d0 AI Python for Beginners hubs.la/Q047g3_60 ChatGPT Prompt Engineering for Developers hubs.la/Q047g8_n0 LangChain for LLM Application Development hubs.la/Q047g40-0 Agentic AI hubs.la/Q047fR7g0 A practical path from learning AI to building with it. Share it with someone starting their AI journey.

This week, in The Batch, Andrew Ng discusses the idea of creating a shared platform, similar to Stack Overflow, where AI coding agents can share what they've learned to help improve documentation and each other’s performance. Plus: ⚙️ OpenAI launches GPT-5.4 with stronger coding and agentic skills 📱 Mobile AI apps surge in downloads and revenue ⚡ Tech giants build private power plants for AI data centers 🖼️ Apple speeds up diffusion image training with compressed embeddings Read The Batch hubs.la/Q047f7W60

Testing an AI idea doesn’t have to take weeks. Start with one user. One job to be done. Build the smallest version that lets someone try it. Then watch carefully. Where do they hesitate? Where do they get confused? Where does the system fail? Those moments are where the real learning happens. In AI, speed of learning often matters more than perfection. Start building at @DeepLearningAI

We’re glad to partner with @AMD for AI Dev 26 × San Francisco. If you’re attending the conference and staying in San Francisco, you can also stop by AMD AI DevDay on April 30, happening nearby: hubs.la/Q0470nms0 AMD is also offering developers 1-month access to @DeepLearningAI Pro through their AI Developer Program: hubs.la/Q0470nqh0

Why Everyone Needs AI Skills Like reading in the past, AI literacy will spread to everyone, not just engineers. Start learning AI today.

Every major technological shift creates a new kind of literacy. Reading changed who had access to knowledge. Computers changed how we work. AI is changing both. Understanding how AI works is quickly becoming part of being literate in today’s world. Don’t wait to fall behind! Start learning AI today at hubs.la/Q046N-M10

We’re hiring an Account Executive at @DeepLearningAI! You’ll help enterprises understand how to implement AI by working with them on corporate training, use cases, and adoption, and you’ll use AI tools yourself to research, automate workflows, and scale outreach. If you’re fluent in both business and AI, we’d like to talk! 📍 Mountain View, CA 💼 Full-time Apply here: hubs.la/Q046NK2W0

The world needs more people who understand both medicine and AI. These Professional Certificates explore how AI is being applied in healthcare, from clinical decision support to large-scale health data analysis. AI for Medicine hubs.la/Q046F93_0 Natural Language Processing hubs.la/Q046F7JS0 AI for Good hubs.la/Q046F4-Z0 Have a colleague in healthcare exploring AI? Share this with them.

Google researchers built Aletheia, an agentic system powered by Gemini 3 Deep Think that generates, verifies, and revises solutions to difficult mathematical problems. The system has already contributed to research papers and produced several novel solutions to long-standing Erdős problems. Read our summary of the paper in The Batch hubs.la/Q046FkM00

Many people are curious about AI but aren’t sure where to start. Some begin by understanding the big picture of AI. Others start experimenting with today’s generative AI tools. And sometimes the fastest way to learn is simply to start building something. These four free courses are designed to help beginners take their first step into AI. Generative AI for Everyone hubs.la/Q046hHVV0 AI for Everyone hubs.la/Q046hJnK0 Build with Andrew hubs.la/Q046hP1r0 AI Python for Beginners hubs.la/Q046hJ4Y0 Know someone curious about AI? Share this with them.

OpenAI introduced Frontier, a platform for building, coordinating, and evaluating AI agents across an organization. The system lets companies manage agent identities, permissions, shared context, and performance from a single interface, aiming to help businesses oversee growing “teams” of AI agents working alongside employees. Learn more in The Batch hubs.la/Q046t7MX0

Everyone assumes AI is suddenly automating entire companies, but the reality on the ground is different. The truth about recent tech layoffs isn't that robots are running the show—it's that companies are replacing traditional workers with people who know how to use AI tools to become 10x more productive. As team sizes shrink and the bottlenecks shift, your biggest career advantage is learning the tools.