DeepLearning.AI(@DeepLearningAI)

Low- or no-vision users rely on AI tools like Be My Eyes, which can increase independence by helping...

DeepLearning.AI (@DeepLearningAI) — Sat, 18 Apr 2026 17:59:59 GMT

Low- or no-vision users rely on AI tools like Be My Eyes, which can increase independence by helping assess appearance and surroundings. However, the apps' subjective and sometimes critical judgments about beauty can create confusion, insecurity, and potential psychological risks.

Learn more in The Batch: hubs.la/Q04cBRqX0

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Anthropic introduced Claude Mythos Preview, a highly capable model that can autonomously identify an...

DeepLearning.AI (@DeepLearningAI) — Fri, 17 Apr 2026 22:15:32 GMT

Anthropic introduced Claude Mythos Preview, a highly capable model that can autonomously identify and exploit serious software vulnerabilities. 

Because of its inherent risk, the company has not released the model publicly. Instead it is working with industry partners to find and fix critical flaws before broader deployment.

Learn more in The Batch: hubs.la/Q04cBS340

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Shoutout to our top mentors 👏 They help shape our courses and support learners every day, all as v...

DeepLearning.AI (@DeepLearningAI) — Thu, 16 Apr 2026 23:39:54 GMT

Shoutout to our top mentors 👏

They help shape our courses and support learners every day, all as volunteers.

We’re incredibly grateful for everything you do. Here’s to more collaboration ahead!

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This week, in The Batch, Andrew Ng gives us a preview of AI Dev 26! He discusses how AI is reshaping...

DeepLearning.AI (@DeepLearningAI) — Thu, 16 Apr 2026 00:39:48 GMT

This week, in The Batch, Andrew Ng gives us a preview of AI Dev 26! He discusses how AI is reshaping software engineering, from workflows and skills to the future of jobs .

Plus:

🔐 Anthropic unveils Claude Mythos Preview
🪞 AI as a mirror raises new concerns for visually impaired users
🧬 Google model decodes the “hidden” genome
🌊 One model predicts outcomes across physics domains

Read The Bathubs.la/Q04cgnCn0jePr

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Want to try this in practice? Join the 7-day challenge: build a tiny Tamagotchi-style web app using...

DeepLearning.AI (@DeepLearningAI) — Wed, 15 Apr 2026 15:33:22 GMT

Want to try this in practice?

Join the 7-day challenge: build a tiny Tamagotchi-style web app using spec-driven development. Start with a spec, then implement from it.

We’re looking for clear, scoped, and testable specs—not complex apps.

Submissions close April 22: community.deeplearning.ai/t/7-day-learne…

Join our Discord community: discord.com/invite/z4FNBCF…

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Vibe coding is fast. It’s also unpredictable. Spec-driven development is the alternative: define wha...

DeepLearning.AI (@DeepLearningAI) — Wed, 15 Apr 2026 15:30:00 GMT

Vibe coding is fast. It’s also unpredictable. Spec-driven development is the alternative: define what to build in a clear spec, then let your coding agent implement it.

In our new spec-tacular short course with @JetBrains and @JetBrains_Edu, you’ll learn how to:

⚙️ Write project constitutions and feature specs
⚙️ Guide agents with a plan–implement–verify workflow
⚙️ Keep outputs aligned with your intent across sessions

Taught by @paulweveritt.

Join in for free ➡️ bit.ly/4dPMI5S

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Researchers introduced TTT-E2E, a method that lets language models learn from context during inferen...

DeepLearning.AI (@DeepLearningAI) — Mon, 13 Apr 2026 20:59:59 GMT

Researchers introduced TTT-E2E, a method that lets language models learn from context during inference by updating their weights. The method requires more complex and slower training, but enables stable accuracy and constant processing time even with long inputs.

Learn more in The Batch: hubs.ly/Q04bCKzF0

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Surprise! We launched a calm playlist for coding, studying, or focused work. Whether you're debug...

DeepLearning.AI (@DeepLearningAI) — Mon, 13 Apr 2026 16:54:15 GMT

Surprise! 

We launched a calm playlist for coding, studying, or focused work.

Whether you're debugging, reading, or building exciting new things after taking one of @DeepLearningAI's courses, this mix is designed to help you stay in flow without distractions.

What you’ll find here:
• Soft, consistent rhythms for long work sessions
• Minimal vocals to avoid breaking focus
• A steady pace for deep thinking (and deep learning 😉)

Use it while:
• Coding or debugging
• Studying or taking notes
• Reading technical material
• Working through projects

Check it out now:hubs.ly/Q04bF7lx0S

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Google launched Lyria 3, a music generator that creates 30-second songs from text or images. The upd...

DeepLearning.AI (@DeepLearningAI) — Fri, 10 Apr 2026 21:57:55 GMT

Google launched Lyria 3, a music generator that creates 30-second songs from text or images. The updated model is now integrated into Gemini and YouTube. Google says the model is built with licensed training data and copyright safeguards, helping to navigate industry scrutiny while bringing AI-aided music to millions of listeners.

Learn more in The Batch ⬇️ hubs.la/Q04bqCwP0

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3,000+ developers. Two days. AI Dev 26 x San Francisco is where the people building AI come togethe...

DeepLearning.AI (@DeepLearningAI) — Fri, 10 Apr 2026 18:04:26 GMT

3,000+ developers. Two days.

AI Dev 26 x San Francisco is where the people building AI come together to discuss and shape the future of software engineering.

Join Andrew Ng and leading experts across the field at Pier 48, April 28-29.

Tickets are selling out. Grab yours today: hubs.la/Q04bqBf_0

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An accidental leak exposed over 500,000 lines of Anthropic’s Claude Code, revealing its agentic stru...

DeepLearning.AI (@DeepLearningAI) — Thu, 09 Apr 2026 20:20:27 GMT

An accidental leak exposed over 500,000 lines of Anthropic’s Claude Code, revealing its agentic structure: modular tools, subagent swarms, and layered memory management. 

The source code offers rare insight into how advanced agents operate today, and hints at potential future features like autonomous background agents and voice interfaces.

Learn more in The Batch hubs.la/Q04bhXT80

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New course available! Efficient Inference with SGLang: Text and Image Generation is live. LLM infe...

DeepLearning.AI (@DeepLearningAI) — Wed, 08 Apr 2026 15:31:06 GMT

New course available! Efficient Inference with SGLang: Text and Image Generation is live. 

LLM inference gets expensive fast—mostly due to redundant computation. This course shows how to reduce that using SGLang, with KV cache and RadixAttention, and how to apply the same ideas to faster image generation.

Built with @lmsysorg and @radixark, taught by Richard Chen.

Enroll for free: hubs.la/Q04b0F1J0

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We’re hiring a General Manager of Events to build and scale the AI Dev conference into a flagship fo...

DeepLearning.AI (@DeepLearningAI) — Tue, 07 Apr 2026 23:00:04 GMT

We’re hiring a General Manager of Events to build and scale the AI Dev conference into a flagship for the global developer community at DLAI!

Own strategy, content, partnerships, and growth, working closely with Andrew Ng.

If you’re an event manager who understands developers and AI, this is a high-impact role.

Apply here: hubs.la/Q049VR-40

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This week, in The Batch, Andrew Ng discusses rapid improvements in voice-based AI interfaces and how...

DeepLearning.AI (@DeepLearningAI) — Tue, 07 Apr 2026 18:52:53 GMT

This week, in The Batch, Andrew Ng discusses rapid improvements in voice-based AI interfaces and how they will enable more natural and accessible ways to interact with applications in concert with traditional UIs.

Plus, the following stories in depth:

🧠 Claude Code leak reveals inner workings of a powerful coding agent
🎬 OpenAI shuts down Sora, pivots away from video AI
⚡ Learning during inference to handle long context efficiently
🎵 Google brings AI music generation to Gemini and YouTube

Read The Bathubs.la/Q049VMyn0PkT

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We're excited to welcome @ReductoAI as a partner at AI Dev 26! Reducto helps the world's best AI t...

DeepLearning.AI (@DeepLearningAI) — Mon, 06 Apr 2026 21:24:06 GMT

We're excited to welcome @ReductoAI as a partner at AI Dev 26! 

Reducto helps the world's best AI teams turn complex, unstructured documents into structured, LLM-ready data with industry-leading accuracy. 

Learn more at hubs.la/Q049MJDP0, attend their speaker session, and visit their booth at AI Dev 26 x SF on April 28-29! 

🎟️ Grab your tickets:hubs.la/Q049MK2M0W

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Your AI Agent Has a Memory Problem Most AI agents start from zero every single session. @DeepLearni...

DeepLearning.AI (@DeepLearningAI) — Fri, 03 Apr 2026 23:48:19 GMT

Your AI Agent Has a Memory Problem

Most AI agents start from zero every single session. @DeepLearningAI's new course with @Oracle, "Agent Memory: Building Memory-Aware Agents," teaches you how to fix that by building a fully stateful agent from scratch. 

Check it out: hubs.la/Q049CYF10

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When processing long contexts, large language models often lose track of details or devolve into non...

DeepLearning.AI (@DeepLearningAI) — Thu, 02 Apr 2026 22:26:21 GMT

When processing long contexts, large language models often lose track of details or devolve into nonsense. Researchers reduced these effects by managing context externally.

MIT’s Alex L. Zhang, Tim Kraska, and Omar Khattab developed Recursive Language Models (RLMs) that process long prompts encountered in books, web searches, and codebases by offloading prompts to an external environment and managing them programmatically.

Learn more in The Batch: hubs.la/Q049x95V0

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We can’t wait to welcome you to AI Dev 26 in San Francisco this month! The agenda and speaker lineu...

DeepLearning.AI (@DeepLearningAI) — Wed, 01 Apr 2026 20:46:05 GMT

We can’t wait to welcome you to AI Dev 26 in San Francisco this month!

The agenda and speaker lineup for the AI Developer Conference are now live.

You'll get to hear from and interact with industry leaders at @GoogleDeepMind, @Oracle, @AMD, @ActianCorp, @Neo4j, @Arm, and many more, including:

- @AndrewYNg (@DeepLearningAI) on the future of software development
- @hwchase17 (@LangChain) on the observability flywheel
- @DynamicWebPaige (@GoogleDeepMind) on what's new and what's next in AI
- @RichmondAlake (@Oracle) on agent memory
- @EmmaMcGrattan (@ActianCorp) on vector databases
- Marina Mogilko (@siliconvalleymm) will moderate a panel discussion featuring leaders from LangChain, Oracle, @LandingAI, @Replit, and more.

Join us April 28 and April 29 at Pier 48 in San Francisco.

🎟️ Grab your tickets:hubs.la/Q049mnPH0Q

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OpenAI partnered with Amazon to build infrastructure for agents on the world’s largest cloud platfor...

DeepLearning.AI (@DeepLearningAI) — Tue, 31 Mar 2026 21:44:17 GMT

OpenAI partnered with Amazon to build infrastructure for agents on the world’s largest cloud platform, a further sign that its close relationship with Microsoft is weakening.

Learn more in The Batch hubs.la/Q0498M5n0

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Apple introduced AToken, a model that uses a shared tokenizer and encoder to process and generate im...

DeepLearning.AI (@DeepLearningAI) — Fri, 27 Mar 2026 22:02:45 GMT

Apple introduced AToken, a model that uses a shared tokenizer and encoder to process and generate images, videos, and 3D objects in one unified framework. The multimodal approach beats or rivals specialized models in performance and helps transfer knowledge transfer across media types, potentially reducing training data needs and improving applications.

Read our summary of the paper in The Batch: hubs.la/Q048Hp-v0

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CEOs are wasting millions on AI. Here's why. 💸 CEOs are pouring millions into AI, but simply swapp...

DeepLearning.AI (@DeepLearningAI) — Thu, 26 Mar 2026 03:00:34 GMT

CEOs are wasting millions on AI. Here's why. 💸

CEOs are pouring millions into AI, but simply swapping a human for an AI agent in the middle of a broken process won't change your business. True AI transformation requires an end-to-end workflow redesign. Don't just use AI to make the old way faster—use it to build a completely new experience.

Ready to build AI workflows that actually move the needle? @DeepLearningAI offers free short courses to help you master agentic workflows and the latest AI tools.

Start learning today:hubs.la/Q048nRwq0O

Subscribe to The Batch newsletter for weekly AI insights:hubs.la/Q048nVvj0v

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DeepSeek denied Nvidia and AMD early access to its upcoming DeepSeek-V4 while sharing the model with...

DeepLearning.AI (@DeepLearningAI) — Wed, 25 Mar 2026 22:07:58 GMT

DeepSeek denied Nvidia and AMD early access to its upcoming DeepSeek-V4 while sharing the model with Huawei. The move highlights growing geopolitical friction between the U.S. and China, as export controls only have limited ability influence global competition for advanced hardware.

Learn more in The Batch ⬇️ hubs.la/Q048nvSS0

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🛠️ Builders, show us what you made! If you've completed a project in the Build with Andrew course,...

DeepLearning.AI (@DeepLearningAI) — Wed, 25 Mar 2026 01:00:00 GMT

🛠️ Builders, show us what you made!

If you've completed a project in the Build with Andrew course, we want to feature it. Your work inspires the whole community.

Here's how to share:
📌 Go to the @DeepLearningAI Forumhubs.la/Q0487K9J046
📂 Post in the AI Discussions Category
🏷️ Tag#builduild-with-andrew #ai#ai-discussions

Let's see what you've built!

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Alibaba released the Qwen3.5 family of open-weights vision-language models, ranging from lightweight...

DeepLearning.AI (@DeepLearningAI) — Tue, 24 Mar 2026 18:53:47 GMT

Alibaba released the Qwen3.5 family of open-weights vision-language models, ranging from lightweight to massive systems. 

Smaller models like Qwen3.5-9B rival or outperform much larger competitors, making multimodal AI more accessible on lightweight hardware while maintaining strong performance across vision and language tasks.

Learn more in The Batch: hubs.la/Q0487yjb0

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AI teams often think their biggest problem is the model. In practice, the bigger problem is alignme...

DeepLearning.AI (@DeepLearningAI) — Tue, 24 Mar 2026 03:00:05 GMT

AI teams often think their biggest problem is the model.

In practice, the bigger problem is alignment.

If different people are optimizing different things, like accuracy, latency, recall, or edge cases, every experiment becomes a debate.

One team thinks the system improved.
Another thinks it got worse.

High-performing AI teams avoid this trap.

They agree early on what success looks like.

Once that’s clear, experiments stop being arguments and start becoming progress.

Learn how to build better AI systems at @DeepLearningAI

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This week, in The Batch, Andrew Ng discusses growing job insecurity and uncertainty in an AI-driven ...

DeepLearning.AI (@DeepLearningAI) — Mon, 23 Mar 2026 21:00:01 GMT

This week, in The Batch, Andrew Ng discusses growing job insecurity and uncertainty in an AI-driven world by focusing on stable foundations like strong communities and continuously developing skills.

Plus:

👁️ Qwen3.5 models deliver top-tier vision performance, even at small sizes
🌏 DeepSeek withholds access from U.S. chip makers, escalating tensions
🧩 Apple unifies images, video, and 3D objects with a single tokenizer

Read The Batchubs.la/Q047-T0K0gJf

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The #1 Skill Employers Want in 2026 The job market is shifting, and the #1 skill employers are look...

DeepLearning.AI (@DeepLearningAI) — Mon, 23 Mar 2026 13:15:29 GMT

The #1 Skill Employers Want in 2026

The job market is shifting, and the #1 skill employers are looking for right now isn't a specific programming language—it's teachableness. As AI tools evolve at lightning speed, your ability to adapt and learn is your biggest competitive advantage. AI won’t replace workers, but workers who use AI will replace workers who don’t.

Ready to 10x your productivity? @DeepLearningAI offers free short courses on the exact tools employers are looking for right now, including Claude Code, Gemini CLI, and Agentic Skills.

Start learning today and build your career advantage: hubs.la/Q047Nc2q0

Subscribe to The Batch newsletter for weekly AI insights: hubs.la/Q047NjtB0

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Apple researchers introduced Feature Auto-Encoder (FAE), a diffusion image generator that learns fro...

DeepLearning.AI (@DeepLearningAI) — Sat, 21 Mar 2026 13:30:00 GMT

Apple researchers introduced Feature Auto-Encoder (FAE), a diffusion image generator that learns from compressed embeddings produced by a pretrained vision model. 

By shrinking rich embeddings before reconstruction, the system trains up to seven times faster while maintaining image quality comparable to state-of-the-art diffusion models.

Read our summary of the paper in The Batch: hubs.la/Q047M-gw0

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A lot of AI conversations focus on chatbots and demos. But some of the most valuable AI systems sol...

DeepLearning.AI (@DeepLearningAI) — Sat, 21 Mar 2026 03:00:06 GMT

A lot of AI conversations focus on chatbots and demos.

But some of the most valuable AI systems solve much less glamorous problems.

Processing invoices.
Extracting information from documents.
Connecting data across tools.
Making systems reliable enough to use every day.

These kinds of operational workflows are where many companies actually see the biggest impact from AI.

Here’s a simple path to start learning how these systems are built.

Document AI: From OCR to Agentic Doc Extraction
hubs.la/Q047N1Ph0

Preprocessing Unstructured Data for LLM Applications
hubs.la/Q047N1KF0

Functions, Tools and Agents with LangChain
hubs.la/Q047N0h70

Improving Accuracy of LLM Applications
hubs.la/Q047N5J60

Know someone exploring how to apply AI in real business workflows?
Share this with them.

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Companies including Meta and OpenAI are building private gas-powered plants directly connected to da...

DeepLearning.AI (@DeepLearningAI) — Fri, 20 Mar 2026 21:00:05 GMT

Companies including Meta and OpenAI are building private gas-powered plants directly connected to data centers to secure the massive electricity needed to power AI infrastructure. 

The projects bypass grid delays and could provide energy for a large share of future data centers, but they also raise concerns about rising costs and increased greenhouse gas emissions.

Lear more in The Batch hubs.la/Q047M2tQ0

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Meet @Oracle on the AI Dev x SF show floor or join their workshop to explore the latest thinking on ...

DeepLearning.AI (@DeepLearningAI) — Fri, 20 Mar 2026 17:51:32 GMT

Meet @Oracle on the AI Dev x SF show floor or join their workshop to explore the latest thinking on agent memory and what it takes to build agents that learn, adapt and actually work in production.

🎟️ Grab your tickets:hubs.la/Q047M1Bt0W

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A lot of beginners start their AI projects the wrong way. They start with the model. Which model i...

DeepLearning.AI (@DeepLearningAI) — Fri, 20 Mar 2026 03:00:05 GMT

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

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AI isn’t just running in the cloud anymore. AI applications are increasingly running on edge device...

DeepLearning.AI (@DeepLearningAI) — Thu, 19 Mar 2026 19:00:18 GMT

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

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Mobile AI apps saw explosive growth in 2025, with downloads doubling to 3.8 billion and revenue trip...

DeepLearning.AI (@DeepLearningAI) — Thu, 19 Mar 2026 16:58:06 GMT

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

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OpenAI released GPT-5.4 Thinking and GPT-5.4 Pro, models with larger context windows and improved to...

DeepLearning.AI (@DeepLearningAI) — Thu, 19 Mar 2026 00:59:59 GMT

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

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This Mindset Wins in the AI Era AI isn't your competition. It's your leverage, if you know how to u...

DeepLearning.AI (@DeepLearningAI) — Wed, 18 Mar 2026 21:00:15 GMT

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?

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📢 New short course in collaboration with @Oracle! Agent Memory: Building Memory-Aware Agents Learn...

DeepLearning.AI (@DeepLearningAI) — Wed, 18 Mar 2026 15:30:47 GMT

📢 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/Q047ljGB0y

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📢 New short course in collaboration with @Oracle! Agent Memory: Building Memory-Aware Agents Learn...

DeepLearning.AI (@DeepLearningAI) — Wed, 18 Mar 2026 15:30:46 GMT

📢 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/Q047ljGB0y

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Many people start learning AI by reading about it. But the real shift happens when you start buildi...

DeepLearning.AI (@DeepLearningAI) — Wed, 18 Mar 2026 03:00:46 GMT

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.

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This week, in The Batch, Andrew Ng discusses the idea of creating a shared platform, similar to Stac...

DeepLearning.AI (@DeepLearningAI) — Tue, 17 Mar 2026 22:06:01 GMT

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 Batchubs.la/Q047f7W60BZ

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Testing an AI idea doesn’t have to take weeks. Start with one user. One job to be done. Build the ...

DeepLearning.AI (@DeepLearningAI) — Tue, 17 Mar 2026 03:00:05 GMT

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

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We’re glad to partner with @AMD for AI Dev 26 × San Francisco. If you’re attending the conference a...

DeepLearning.AI (@DeepLearningAI) — Mon, 16 Mar 2026 23:00:03 GMT

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

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Why Everyone Needs AI Skills Like reading in the past, AI literacy will spread to everyone, not jus...

DeepLearning.AI (@DeepLearningAI) — Mon, 16 Mar 2026 16:16:53 GMT

Why Everyone Needs AI Skills

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

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Every major technological shift creates a new kind of literacy. Reading changed who had access to k...

DeepLearning.AI (@DeepLearningAI) — Sat, 14 Mar 2026 03:00:07 GMT

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

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We’re hiring an Account Executive at @DeepLearningAI! You’ll help enterprises understand how to imp...

DeepLearning.AI (@DeepLearningAI) — Fri, 13 Mar 2026 21:04:38 GMT

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 herehubs.la/Q046NK2W0Xq

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The world needs more people who understand both medicine and AI. These Professional Certificates ex...

DeepLearning.AI (@DeepLearningAI) — Fri, 13 Mar 2026 03:00:04 GMT

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.

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Google researchers built Aletheia, an agentic system powered by Gemini 3 Deep Think that generates, ...

DeepLearning.AI (@DeepLearningAI) — Thu, 12 Mar 2026 22:59:59 GMT

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

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Many people are curious about AI but aren’t sure where to start. Some begin by understanding the bi...

DeepLearning.AI (@DeepLearningAI) — Thu, 12 Mar 2026 03:00:06 GMT

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.

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OpenAI introduced Frontier, a platform for building, coordinating, and evaluating AI agents across a...

DeepLearning.AI (@DeepLearningAI) — Wed, 11 Mar 2026 22:30:37 GMT

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

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Everyone assumes AI is suddenly automating entire companies, but the reality on the ground is differ...

DeepLearning.AI (@DeepLearningAI) — Wed, 11 Mar 2026 13:15:47 GMT

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.

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