DeepLearning.AI(@DeepLearningAI)

The skills required to be an engineer in the age of AI are changing fast. Here is your quick summary...

DeepLearning.AI (@DeepLearningAI) — Fri, 11 Sep 2026 14:32:07 GMT

The skills required to be an engineer in the age of AI are changing fast. Here is your quick summary of this week's issue of The Batch: 🧵

1️⃣ Shaping the Build
AI engineering requires more than using AI to write code. To drive impact, developers must master:
• Fast build-and-feedback loops
• Product and design judgment
• Stakeholder communication
• High agency ownership

2️⃣ GPT-6 Astra
OpenAI launched GPT-6 Astra with 1M+ input tokens and 5 reasoning levels. Benchmark data on ARC AGI 3 and other tasks shows higher per token rates can yield lower total cost per task due to better efficiency.

3️⃣ Claude Fable 5.1
Anthropic updated Fable 5.1, tying for top marks on the Artificial Analysis Intelligence Index v4.3. The model loosens some restrictions on cybersecurity tasks and is less wordy.

4️⃣ Transcription Wars
Google, Meta, and Microsoft released new speech to text models. Gemini 3.5 Transcribe, Muse Voice Transcribe, and MAI-Transcribe 2 all achieved word error rates below 4%.

5️⃣ SelfCompact
Johns Hopkins and Apple published SelfCompact, a method that uses explicit rubrics to prune LLM context history without parameter updates or fine-tuning.

6️⃣ Events
DeepLearningAI is hosting another installment of our AI Dev developer event in NYC on November 30 and December 1. Early bird tickets are available now!

Subscribe to read the full technical analyses: ⚡hubs.la/Q04xfcHh0k
#DeepLearningAII#AIEngineeringg#LLMss

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Coding agents are transforming how we build software. Developers are moving from writing raw code to...

DeepLearning.AI (@DeepLearningAI) — Wed, 09 Sep 2026 20:54:07 GMT

Coding agents are transforming how we build software. Developers are moving from writing raw code to defining specs, designing architecture, and evaluating agent-generated results.

To help developers master this shift, we’ve mapped out Pillar 3 of the AI Engineering Skills Map: Using Coding Agents. Focus on these fundamental skills to effectively steer agents and get more done: 🧵👇

🧭 Directing the workflow: Strategically balance human oversight and agent autonomy across research, planning, architecture design, and task breakdown.
🤖 Enabling agent autonomy: Choose autonomy level of agent workflows, manage evolving agent context, and orchestrate parallel agent runs while limiting risk of damage.
✅ Reviewing the work: Verify uncertain agent outputs using automated tests, agentic code review, and llm-as-a-judge. Extend this oversight into production with active monitoring and incident management.
🛠️ Customizing the agent and its environment: Extend and customize the agents with skills, hooks, plug-ins, and MCP servers. Maintain their standing context, persist state across sessions, and capture its learnings over time.
🧠 Coding agent foundations: Understand how agents handle search and retrieval, manage their context windows, and make tool calls, so you can recognize failure modes early and intervene when they go off-track.

Read the full breakdown by Andrehubs.la/Q04x53Xh0bz#DeepLearningAIn#AIEngineeringe#CodingAgentsAgents

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General AI may not be enough for highly regulated fields. ⚖️🏦 📰 Law, news, and finance are rapidl...

DeepLearning.AI (@DeepLearningAI) — Wed, 09 Sep 2026 13:51:52 GMT

General AI may not be enough for highly regulated fields. ⚖️🏦

📰 Law, news, and finance are rapidly adopting custom models. 
🎯 Retraining open models on proprietary data ensures higher accuracy and strict instruction-following. 
🚀 Specialized AI is an important future paradigm for enterprise tech. 

Dive into the details in The Bathubs.la/Q04x1F3G0QE8#DeepLearningAIn#LLMsL#EnterpriseAIseAI

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OpenAI and Anthropic just rewrote their enterprise data policies. 🚨 🔹 Anthropic now lets business...

DeepLearning.AI (@DeepLearningAI) — Tue, 08 Sep 2026 20:00:01 GMT

OpenAI and Anthropic just rewrote their enterprise data policies. 🚨

🔹 Anthropic now lets businesses using top models like Claude Fable 5.1 keep data on their own servers for 30 days.
🔹 OpenAI promises Zero Data Retention with a new system of safety processing.
🔹 Both use automated systems to flag misuse, but their systems lack technical transparency.

Dive into the privacy details in The Bathubs.la/Q04wXpvq0zO#DeepLearningAIn#EnterpriseAIs#DataPrivacyvacy

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The viral "Ox Alpha" model is officially GLM-5.3-Flash from Zai. 🔍 📊 320B parameters with 18B act...

DeepLearning.AI (@DeepLearningAI) — Tue, 08 Sep 2026 13:56:33 GMT

The viral "Ox Alpha" model is officially GLM-5.3-Flash from Zai. 🔍

📊 320B parameters with 18B active per token
⚡ Hybrid architecture mixing linear and sparse attention
💰 Leading performance on real world tasks from GDPval AA v2 at just $0.09 per task

The best part? Zai ran the massive free preview entirely on China-made hardware, proving smart memory optimization can overcome hardware limits. 🛠️

Dive into the architecture details in The Bathubs.la/Q04wWZcM05e#DeepLearningAIn#LLMsL#OpenWeightsghts

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🛑 Stop letting your coding agents run autonomously for hours. It is costly and often ineffective. ...

DeepLearning.AI (@DeepLearningAI) — Sun, 06 Sep 2026 15:17:54 GMT

🛑 Stop letting your coding agents run autonomously for hours. It is costly and often ineffective.

Andrew Ng just broke down the real workflows top AI practitioners use. The secret is skilled human judgment, highly iterative planning, and frequent output verification. 🧵👇

Most of your time can now be spent on architecture and writing specs, not writing individual lines of code. You must learn to direct agents’ workflow, calibrate their autonomy, and build robust testing regimes.

Read Andrew's full letter to study the five foundational skills of using coding agenthubs.la/Q04wPQ6v0XZd#DeepLearningAIg#AIEngineeringi#CodingAgentsn#DeveloperToolsols

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⚡ Coding agent workflows, enterprise privacy updates, and open weight models worth studying. Highli...

DeepLearning.AI (@DeepLearningAI) — Fri, 04 Sep 2026 17:38:47 GMT

⚡ Coding agent workflows, enterprise privacy updates, and open weight models worth studying.

Highlights from this week in The Batch:

🤖 Andrew Ng explains how using coding agents requires its own fundamental skill set.
🔐 OpenAI and Anthropic unveiled new enterprise data retention policies.
⚡ Zai released GLM-5.3-Flash, a cost-efficient, open weights, multimodal system.
⚖️ Thomson Reuters launched a 397B parameter model trained specifically for work in law, finance, and news.

👇 Read the full issuhubs.la/Q04wLJr50FhA#DeepLearningAIg#AIEngineeringi#LLMsLMs

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One good AI image is easy. Consistent quality at scale is an evaluation problem. Build a UI design ...

DeepLearning.AI (@DeepLearningAI) — Fri, 04 Sep 2026 13:30:26 GMT

One good AI image is easy. Consistent quality at scale is an evaluation problem.

Build a UI design agent that self-critiques and iterates based on brand guidelines.

Enroll in our new free course with @GoogleCloud: hubs.la/Q04vs40m0#AIAgents#GenAI#GoogleCloud

Your browser does not support the video tag.

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🗑️ AI agents need better garbage collection. Xiaohongshu researchers built Self-GC, using a planne...

DeepLearning.AI (@DeepLearningAI) — Thu, 03 Sep 2026 13:58:51 GMT

🗑️ AI agents need better garbage collection.

Xiaohongshu researchers built Self-GC, using a planner LLM to decide which context tokens to keep, fold, or prune. In tests, it retained necessary details 84.85 percent of the time compared to just 54.55 percent for standard methods.

Master agent memory management:hubs.la/Q04wy8ML0N
#DeepLearningAII#AIAgentss#LLMss

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🛠️ DeepSeek V4 Pro 0813 is out, but just as big of a story may be the company’s open source evaluat...

DeepLearning.AI (@DeepLearningAI) — Wed, 02 Sep 2026 22:30:00 GMT

🛠️ DeepSeek V4 Pro 0813 is out, but just as big of a story may be the company’s open source evaluation harness.

DeepSeek Harness logs every tool call, system prompt, and subagent schedule. Developers can now reproduce performance instead of relying on closed testing environments. And they can easily study, fork, or remake their own harnesses to boot.

Read more in The Batch:hubs.la/Q04wjYXx0q
#DeepLearningAII#OpenSourcee#Developerss

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⚡ Top AI companies think inference speed is an architectural requirement worth paying for. OpenAI a...

DeepLearning.AI (@DeepLearningAI) — Wed, 02 Sep 2026 14:49:55 GMT

⚡ Top AI companies think inference speed is an architectural requirement worth paying for.

OpenAI and Cerebras demonstrated GPT 5.6 Sol running at 750 tokens per second.

Google released Gemini 3.7 Flash averaging 330 tokens per second.

Nvidia launched Nemotron 3.5 Lightning with NeMo Switchyard for dynamic step routing.

Faster throughput and lower latency alleviate developer context switching and power real-time agentic workflows.

Read the complete breakdown in The Batch: 📖
#DeepLearningAII#AII#TechNewss

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Coding agents can write functional code, but relying on "vibe coding" without knowing core software ...

DeepLearning.AI (@DeepLearningAI) — Tue, 01 Sep 2026 22:59:41 GMT

Coding agents can write functional code, but relying on "vibe coding" without knowing core software engineering fundamentals can compromise long-term system reliability, security, and extensibility.
We’ve mapped out Pillar 2 of the AI Engineering Skills Map: Software Engineering Fundamentals to help you bridge the gap.

To build production-ready full-stack applications, focus on building these foundational skills:

🌐 Building Full-Stack Applications
🗄️ Managing Data
📐 Designing System Architectures
🛡️ Making Systems Secure and Reliable
🚀 Scaling and Operating in Production

Master these to steer your agents effectively.

Read the breakdown from Andrew Ng hhubs.la/Q04wbD4h08#AIEngineeringe#SoftwareArchitecturec#BuildWithAIithAI

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⚡ Top AI companies think inference speed is an architectural requirement worth paying for. OpenAI a...

DeepLearning.AI (@DeepLearningAI) — Tue, 01 Sep 2026 18:46:34 GMT

⚡ Top AI companies think inference speed is an architectural requirement worth paying for.

OpenAI and Cerebras demonstrated GPT 5.6 Sol running at 750 tokens per second.

Google released Gemini 3.7 Flash averaging 330 tokens per second.

Nvidia launched Nemotron 3.5 Lightning with NeMo Switchyard for dynamic step routing.

Faster throughput and lower latency alleviate developer context switching and power real-time agentic workflows.

Read the complete breakdown in The Batch: hubs.la/Q04w6R0y0 📖
#DeepLearningAII#AII#TechNewss

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💻 Z .ai's GLM-5.3 just hit 84.5% on the CyberGym vulnerability benchmark, beating top proprietary m...

DeepLearning.AI (@DeepLearningAI) — Tue, 01 Sep 2026 13:32:27 GMT

💻 Z .ai's GLM-5.3 just hit 84.5% on the CyberGym vulnerability benchmark, beating top proprietary models, a huge gain over the performance of its predecessor GLM-5.2.

The kicker?Z.aid’s AI engineers did it purely through fine-tuning and optimization of the model’s agentic capabilities, without changing the base model. The model grew so capable at finding and targeting potential exploits thatZ.aid held back the open weights for safety testing.

Read the full analysis in The Batch:hubs.la/Q04w3GkF0A 📖#DeepLearningAIA#Cybersecurityt#LLMsMs

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🛑 https://t.co/I9sL8TF3m4 just proved how powerful post-training can be for powering agents. GLM-5...

DeepLearning.AI (@DeepLearningAI) — Mon, 31 Aug 2026 13:44:23 GMT

🛑hubs.la/Q04vWxGM04 just proved how powerful post-training can be for powering agents.

GLM-5.3 achieved a score of 60 on the Artificial Analysis Intelligence Index, effectively tying for the top spot among open weights models. The most fascinating part is that its gains in overall intelligence came entirely from fine-tuning GLM-5.2, rather than training a new base architecture.

By training inside long-running software engineering environments, the model developed advanced emergent cybersecurity capabilities. It scored an impressive 84.5% on CyberGym. This unexpected jump in exploit generation prompted a temporary safety hold on the model weights’ release while security vetted partners evaluated the risks.

One takeaway: Emergent capabilities from reward optimization require new approaches to safety, and pre-deployment evaluation in AI engineering pipelines.

Read the full technical breakdown in this week's issue of The Batch! �hubs.la/Q04vWgx80WJ#DeepLearningAIA#AgenticAIA#Cybersecurityty

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Everyone has done it: You build a new application with coding agents and love the toy version so muc...

DeepLearning.AI (@DeepLearningAI) — Sat, 29 Aug 2026 13:30:00 GMT

Everyone has done it: You build a new application with coding agents and love the toy version so much that you wind up deploying it without first evaluating trade-offs like latency, uptime, and compute costs. And we all know vibe coders who do this every day and only discover the production consequences later. 

When a developer lacks the proper grounding in software engineering fundamentals, they can’t steer an agent to make the structural decisions needed for building great applications.

In this week's letter, Andrew Ng outlines why understanding the full software development stack, from data management to user interfaces, remains essential for AI engineering.

Here’s Andrew’s list of the key technical capabilities requiring a knowledgeable human’s guidance:

🏗️ Full-Stack Development: Planning out API design, session management, caching strategies, and asynchronous processing.
🗄️ Data Lifecycle Management: Picking data models and storage infrastructure to maintain consistency and clean feeds for downstream AI systems.
📐 System Architecture Design: Choosing everything from the monolith versus microservice dilemma to load balancing.
🔒 Security and Reliability: Building in smart failure-handling policies to ensure graceful degradation, unit and integration testing, and security and testing — early and often.
🚀 Production Operations: Configuring CI/CD pipelines, managing databases, and creating observability tools for understanding workloads.

Read Andrew’s full letter to explore how software fundamentals shape effective AI engineering, and how those fundamentals fit into our overall map of AI Engineering Skihubs.la/Q04vJ_V50mAJzy

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Without strong software engineering fundamentals, coding agents often default to bad trade-offs that...

DeepLearning.AI (@DeepLearningAI) — Fri, 28 Aug 2026 17:07:24 GMT

Without strong software engineering fundamentals, coding agents often default to bad trade-offs that hurt system latency, reliability, and cost.

This week in The Batch:
▪️ Andrew Ng on full-stack skills for AI engineering
▪️ GLM-5.3 brings advanced cybersecurity capabilities to open weights
▪️ OpenAI, Google, & Nvidia speed up throughput for real-time interaction
▪️ DeepSeek-V4-Pro ships with an open source harness
▪️ Self-GC uses an LLM to better prune long contexts

Read the full details here: hubs.la/Q04vJC_w0 📱

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Tracking the provenance of synthetic content is becoming a regulatory requirement. To comply with ne...

DeepLearning.AI (@DeepLearningAI) — Wed, 26 Aug 2026 13:30:05 GMT

Tracking the provenance of synthetic content is becoming a regulatory requirement. To comply with new laws like the EU AI Act, Anthropic will embed invisible watermarks in all future Claude models — and eventually, older ones too.

For generated text, Claude implements Google’s SynthID methodology, using a seed generator to nudge word choices in specific directions in order to create a statistical pattern. This can then be detected by a scoring API. For images, it embeds C2PA metadata. Claude claims this will not meaningfully affect output, but users are skeptical.

We look at the technical implementation, the probability of false positives, and the downstream implications for output quality.

📊Read the analysis:hubs.la/Q04vcghP0U  hubs.la/Q04vcghP0U)

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Building reliable AI out of unpredictable components requires a new playbook: continuous iteration a...

DeepLearning.AI (@DeepLearningAI) — Tue, 25 Aug 2026 21:02:32 GMT

Building reliable AI out of unpredictable components requires a new playbook: continuous iteration and disciplined eval loops.
To help developers bridge the gap from quick demo to production, @AndrewYNg mapped out Pillar 1: Building and deploying AI Applications, of the AI Engineering Skills Map: 👇🧵👇

🧠 LLM Foundations: Understand model mechanics to predict failures and select the right architecture.
📊 Grounding Models with Data: Architect reliable context through clean data pipelines and retrieval structures.
🤖 Building Agentic Systems: Design the agent harness, including tool integrations, context memory, and production guardrails.
🧪 Evaluation-Driven Development: Build tailored evaluation loops to drive systematic, measurable progress.
⚙️ Operating in Production: Maintain reliability using real-time observability, security defenses, and statistical evaluation.
 📈 Machine Learning Foundations: Use core deep learning principles to evaluate model trade-offs and engineer better data.

Read the full technical breakdown of Pillar 1hubs.la/Q04vhX3N0MH#AIEngineeringi#MachineLearningL#LLMing #LLM

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Grok 4.6 with Cursor data = a massive leap in agentic efficiency. 🧠 The new model completes long-ru...

DeepLearning.AI (@DeepLearningAI) — Mon, 24 Aug 2026 15:46:05 GMT

Grok 4.6 with Cursor data = a massive leap in agentic efficiency. 🧠 The new model completes long-running knowledge work tasks in half the turns of other leading models. 📉 Fewer turns mean lower costs for complex agentic apps. 💸 

Dive into the architecture detailhubs.la/Q04v2nWD0tdo

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🚀 The latest edition of The Batch is live! Here is what you need to know: 🚀 Grok 4.6 by SpaceXAI ...

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

🚀 The latest edition of The Batch is live! Here is what you need to know:

🚀 Grok 4.6 by SpaceXAI is here and challenging OpenAI and Anthropic’s top models.
🕵️ Anthropic is adding invisible watermarks to all new Claude models.
🧠 Alibaba released Qwen3.8 Max, a massive 2.4 trillion parameter open weight model.
🗣️ Researchers built Agentic ASR to fix speech to text errors like a human editor.

Read the full breakdowns and benchmark scores on The Batch website and consider subscribinghubs.la/Q04tTlgl03qdQmq

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🧠 Traditional software is predictable. AI is not. What fundamental skills do developers need in or...

DeepLearning.AI (@DeepLearningAI) — Fri, 21 Aug 2026 15:51:25 GMT

🧠 Traditional software is predictable. AI is not. 
What fundamental skills do developers need in order to build and deploy AI applications?

Here's Andrew Ng's list:

🏗️ LLM foundations
📂 Grounding models with data
🤖 Building agentic systems
🧪 Evaluation-driven development
⚙️ Operating in production
📉 Machine learning foundations

🔗 This is the second installment of the AI Engineering Skills Map. Read more and subschubs.ly/Q04tScx10U#AIt#MachineLearninge#AIEngineeringneering

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🧠 Traditional software is predictable. AI is not. What fundamental skills do developers need in o...

DeepLearning.AI (@DeepLearningAI) — Fri, 21 Aug 2026 14:44:36 GMT

🧠 Traditional software is predictable. AI is not. 

What fundamental skills do developers need in order to build and deploy AI applications? Here's Andrew Ng's list:
🏗️ LLM foundations

📂 Grounding models with data
🤖 Building agentic systems
🧪 Evaluation-driven development
⚙️ Operating in production
📉 Machine learning foundations

🔗 This is the second installment of the AI Engineering Skills Map. Read more and subhubs.la/Q04tRNDQ0zI#AIp#MachineLearninge#AIEngineeringneering

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🚀 WE ARE HIRING: Marketing Engineer (Mountain View, CA) We need an AI-native dev to build agentic ...

DeepLearning.AI (@DeepLearningAI) — Mon, 17 Aug 2026 16:21:08 GMT

🚀 WE ARE HIRING: Marketing Engineer (Mountain View, CA)

We need an AI-native dev to build agentic workflows, automations, and tooling to help our marketing team operate at scale. Work hands-on with our AI engineering team! 🤖

Full details & apply here:hubs.la/Q04tcMkw0dR).#AIA#Hiringn#TechJobsb#MarketingEngineere#DeepLearningAIAI

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We love seeing our learners reach new milestones! 🚀 Huge congratulations to Omar Wael for completi...

DeepLearning.AI (@DeepLearningAI) — Fri, 14 Aug 2026 16:00:30 GMT

We love seeing our learners reach new milestones! 🚀

Huge congratulations to Omar Wael for completing the Machine Learning Specialization! We’re thrilled to see such thoughtful reflections on their journey—take a look at this highlight from Omar's recent post below.

Read Omar's full post on our forum to hear more about their experience: Reflections on completing the Machine Learning Specializationhubs.la/Q04t3QD90Z
#DeepLearningAII#MachineLearningg#LearnerSpotlightt#Educationn#AICommunityy

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We're deciding what to build next. 🏗️ We'd rather hear what matters to you most than guess. 10 min...

DeepLearning.AI (@DeepLearningAI) — Wed, 12 Aug 2026 23:00:00 GMT

We're deciding what to build next. 🏗️

We'd rather hear what matters to you most than guess. 10 minutes of your time will directly shape the courses and technical frameworks you want us to make next.

Take the survey:hubs.la/Q04sQtz-0u
#MachineLearningg#AII#DeepLearningAII

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Your AI coding agent comes with defaults: which model runs, what you pay, and what leaves your machi...

DeepLearning.AI (@DeepLearningAI) — Wed, 12 Aug 2026 15:30:09 GMT

Your AI coding agent comes with defaults: which model runs, what you pay, and what leaves your machine. You can turn those defaults into choices.

In our new short course, AI Coding Workflows: From Cloud to Local, built in partnership with @JetBrains and taught by @paulweveritt, Developer Advocate at JetBrains, you'll rebuild the same app across cloud, hybrid, and fully local setups.

Along the way, you'll split work across subagents, put cheaper models on the routine tasks, and finish with models running on your own machine.

Enroll for free: hubs.la/Q04sM4rQ0

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AI can write more code than any team can review by hand, and a pull request can look fine while hidi...

DeepLearning.AI (@DeepLearningAI) — Wed, 29 Jul 2026 15:30:44 GMT

AI can write more code than any team can review by hand, and a pull request can look fine while hiding a security issue or missing a requirement.

In our new short course, AI Code Review, built in collaboration with @QodoAI and taught by @nnennahacks, you'll learn the practices that make AI code review effective: review before you open a pull request, give the reviewer full context about your codebase, and triage findings by risk.

Then you'll build your own review agent, from a context engine that finds the right code to a team of specialized reviewers.

Enroll for free: hubs.ly/Q04qZtNT0

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Fast inference makes a new class of real-time LLM applications possible. In our new short course, F...

DeepLearning.AI (@DeepLearningAI) — Wed, 15 Jul 2026 15:30:33 GMT

Fast inference makes a new class of real-time LLM applications possible.

In our new short course, Fast LLM Inference with Cerebras, built in partnership with @Cerebras and taught by @zhennydez, @duerr_seb, and @MilksandMatcha, you'll build them on the Wafer-Scale Engine, where a model's weights sit on-chip and tokens come out several times faster than a typical GPU setup.

You'll build a webpage that personalizes itself as users interact with it, assemble a multi-tool workflow that analyzes market signals in one response, and adopt habits for cleaner agentic coding with Codex.

Enroll for free: hubs.la/Q04pypry0

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🎉 The results are in for the 7-day Voice AI Builder Challenge with @VocalBridge! Out of 500+ iterat...

DeepLearning.AI (@DeepLearningAI) — Wed, 08 Jul 2026 16:11:09 GMT

🎉 The results are in for the 7-day Voice AI Builder Challenge with @VocalBridge! Out of 500+ iterations and 38 unique submissions, these builders successfully taught AI agents to pick up the phone when they're stuck. 📞

Big congrats to our top 3, after a tight leaderboard & human review:
🥇 Nikolaos Koroniadis
🥈 Eugenia Wang
🥉 Sapna Sangmitra

🎓 Learn the Voice AI Tech that powered the challhubs.la/Q04nWtf90R0SDr2
🔔 Save your spot for the next challengehubs.la/Q04nWj_50ZgeIh5U

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Don’t miss a night out because you’re watching your terminal. Have your coding agent call you instea...

DeepLearning.AI (@DeepLearningAI) — Wed, 24 Jun 2026 17:11:11 GMT

Don’t miss a night out because you’re watching your terminal. Have your coding agent call you instead! 

Join the 7-Day Voice AI Builder Challenge here: hubs.la/Q04mvjdN0

Hurry—challenge ends June 30!

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🚀 The 7-Day Voice AI Builder Challenge is Officially LIVE! Stop babysitting your terminal. 🗣️ T...

DeepLearning.AI (@DeepLearningAI) — Tue, 23 Jun 2026 16:00:05 GMT

🚀 The 7-Day Voice AI Builder Challenge is Officially LIVE!

Stop babysitting your terminal. 

🗣️ The Challenge: Teach your AI coding agent to call you for backup—but only when human intervention is actually required.

Real-time feedback? Yes. Live leaderboard? Absolutely. Epic prizes for the winners? You bet.

The clock is officially ticking. Competitors are already shipping. 

Are you in?

hubs.la/Q04mkw820prV

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Stop watching the terminal. Teach your agent to call you when it matters. We are excited to host th...

DeepLearning.AI (@DeepLearningAI) — Thu, 18 Jun 2026 15:51:51 GMT

Stop watching the terminal. Teach your agent to call you when it matters.

We are excited to host this 7-day Voice AI Builder Challenge in collaboration with @VocalBridge!

🚀 Join the waitlist here to secure your spot:deeplearning.ai/courses/voice-…S

🎓 Want a head start? Check out the prerequisite course on Voice AI to get your skills ready before kickoffdeeplearning.ai/courses/voice-…iy

Vocal Bridge@VocalBridge

Yesterday our agent called @AndrewYNg for career advice mid-recording.
Today it's calling developers mid-walk to ask about prod deploys.

Turns out once your agent has a voice, it has a lot to say 😎

In the 7-Day Voice AI Builder Challenge with @DeepLearningAI, build the agent that knows when to call you and when to figure it out itself.

🏆 Live leaderboard. Prizes. Starts June 23.

Join the waitlistdeeplearning.ai/courses/voice-…Zp#VoiceWithVBV#VoiceAIA#BuiltWithVBVB

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@VocalBridge @_ashwyn Ready to build with Voice AI? Join the waitlist for the 7-Day Voice AI Builde...

DeepLearning.AI (@DeepLearningAI) — Wed, 17 Jun 2026 15:38:20 GMT

@VocalBridge@_ashwyn Ready to build with Voice AI?

Join the waitlist for the 7-Day Voice AI Builder Challenge: deeplearning.ai/courses/voice-…

Your mission: build a voice escalation skill that teaches your coding assistant to call you the moment it needs human intervention.

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Adding voice to an existing AI agent used to mean rewriting a lot of code. In our new short course, ...

DeepLearning.AI (@DeepLearningAI) — Wed, 17 Jun 2026 15:30:00 GMT

Adding voice to an existing AI agent used to mean rewriting a lot of code. In our new short course, Voice for AI Agents and Applications, built in partnership with @VocalBridge and taught by CEO @_ashwyn, you'll learn to layer voice onto an existing agent using minimal code without touching your prompts, RAG pipeline, or tools.

You'll implement three integration patterns: voice embedded in an app, voice layered onto an existing agent, and voice as a callable tool your agent uses to place outbound phone calls.

Enroll for free: bit.ly/4eybXIK

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Are you a software engineer trying to figure out where AI fits in your career? We're doing research...

DeepLearning.AI (@DeepLearningAI) — Thu, 11 Jun 2026 14:10:12 GMT

Are you a software engineer trying to figure out where AI fits in your career?

We're doing research and want to hear from you. The survey is about 10 minutes.

deeplearningai.typeform.com/to/N6uynaKK

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🚀 We just launched our new public https://t.co/ow1eKAiljc GitHub repo! Find: 📚 Course artifacts ...

DeepLearning.AI (@DeepLearningAI) — Wed, 10 Jun 2026 15:13:49 GMT

🚀 We just launched our new publicDeepLearning.AIc GitHub repo!

Find:
 📚 Course artifacts
 🛠️ Developer tools
 🔗 A master course catalog
 ✨ More resources coming soon

Follow the repo, and give it a ⭐to stay up to date with new additions.github.com/https-deeplear…nk7nu

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🚀 We just launched our new public https://t.co/NHNdtd0hDw GitHub repo! Find: 📚 Course artifacts ...

DeepLearning.AI (@DeepLearningAI) — Wed, 10 Jun 2026 13:15:01 GMT

🚀 We just launched our new publichubs.la/Q04kSZDr0w GitHub repo!

Find:
 📚 Course artifacts
 🛠️ Developer tools
 🔗 A master course catalog
 ✨ More resources coming soon

Follow the repo, and give it a ⭐to stay up to date with new additions.hubs.la/Q04kSZwY0APA4j

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New short course: Fast & Efficient LLM Inference with vLLM, built in partnership with @RedHat and ta...

DeepLearning.AI (@DeepLearningAI) — Wed, 03 Jun 2026 15:31:10 GMT

New short course: Fast & Efficient LLM Inference with vLLM, built in partnership with @RedHat and taught by @cedricclyburn.

Learn to quantize an open-source LLM, serve it with vLLM, and benchmark your deployment across speed, cost, and accuracy.

Free to enroll: hubs.la/Q04jXfpR0

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A vague prompt gives vague advice. Context changes the quality of the answer. The more clearly you ...

DeepLearning.AI (@DeepLearningAI) — Thu, 28 May 2026 21:33:01 GMT

A vague prompt gives vague advice. Context changes the quality of the answer.

The more clearly you explain your situation, constraints, priorities, and goals, the more useful AI becomes for complex decisions.

Learn practical prompting techniques in AI Prompting for Everyone with Andrew Ng: hubs.la/Q04jdlqq0

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AI agents seem to be increasingly capable of performing economically valuable tasks, but current ben...

DeepLearning.AI (@DeepLearningAI) — Tue, 26 May 2026 20:58:58 GMT

AI agents seem to be increasingly capable of performing economically valuable tasks, but current benchmarks measure this capability only narrowly.

Zora Z. Wang and colleagues at Carnegie Mellon University and Stanford University mapped examples drawn from agent benchmarks to statistics that represent U.S. labor. The mapping revealed a mismatch between the tests, which generally emphasize software development, and the more varied work most people do.

Read the full article in The Batch: hubs.la/Q04hYVxR0

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China halted Meta’s planned acquisition of Manus, asserting tighter government control over strategi...

DeepLearning.AI (@DeepLearningAI) — Fri, 22 May 2026 23:00:00 GMT

China halted Meta’s planned acquisition of Manus, asserting tighter government control over strategically important AI technology. 

The decision disrupts a popular strategy among Chinese AI startups: relocating abroad to attract Western investment and partnerships.

Learn more in The Batch: hubs.la/Q04hJmwT0

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“Budget” and “financials” are different words, but embeddings understand they’re related. That’s th...

DeepLearning.AI (@DeepLearningAI) — Fri, 22 May 2026 19:12:36 GMT

“Budget” and “financials” are different words, but embeddings understand they’re related.

That’s the foundation behind semantic search and one of the core building blocks of modern multimodal systems.

Learn how embeddings power retrieval across text, audio, images, and video in Building Multimodal Data Pipelines: hubs.la/Q04hJ2PZ0

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Studies found that Google’s AI system for detecting breast cancer in mammograms identified slightly ...

DeepLearning.AI (@DeepLearningAI) — Thu, 21 May 2026 23:18:20 GMT

Studies found that Google’s AI system for detecting breast cancer in mammograms identified slightly more cancers than human radiologists. The system caught some cases doctors initially missed. 

Trials also showed the system could reduce radiologists’ workload. But researchers noted that trust remains a major barrier to clinical adoption.

Read our summary of the paper in The Batch hubs.la/Q04hzZ_R0

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Your AI image generator needs a critic. In our new short course built in collaboration with @Google...

DeepLearning.AI (@DeepLearningAI) — Wed, 20 May 2026 15:31:00 GMT

Your AI image generator needs a critic.

In our new short course built in collaboration with @GoogleCloudTech, you’ll build agents that generate images and video, judge their own outputs, and iterate to improve results. This course explores what happens when AI starts evaluating AI.

Taught by Katie Nguyen and Wafae Bakkali.

Enroll for free: hubs.la/Q04hkdr80

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One of the biggest prompting mistakes is asking AI to generate the final draft immediately. A bette...

DeepLearning.AI (@DeepLearningAI) — Wed, 20 May 2026 04:00:18 GMT

One of the biggest prompting mistakes is asking AI to generate the final draft immediately.

A better workflow? Start with the outline first. Small changes to the structure can dramatically improve the final result and help you avoid generic AI writing.

Learn practical prompting techniques in AI Prompting for Everyone with Andrew Ng: hubs.la/Q04hdPZW0

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Time for another poll! Are current AI image models able to correctly identify the two gym machines...

DeepLearning.AI (@DeepLearningAI) — Tue, 19 May 2026 21:36:22 GMT

Time for another poll! 

Are current AI image models able to correctly identify the two gym machines in this picture?  

A. Yes
B. No
C. Maybe

Share your answer in the comments! 

Learn more about the latest advances in multimodal reasoning models and how to prompt them in the AI Prompting for Everyone course: hubs.la/Q04hdBFp0

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This week, in The Batch, Andrew Ng announced the launch of “AI Andrew,” an AI companion designed to ...

DeepLearning.AI (@DeepLearningAI) — Mon, 18 May 2026 20:59:59 GMT

This week, in The Batch, Andrew Ng announced the launch of “AI Andrew,” an AI companion designed to reflect his communication style, values, and approach to mentoring. AI Andrew is available for conversations about AI, careers, and personal growth.

Plus:

🛡️ U.S. Government Plans Pre-Release AI Model Testing
🎙️ OpenAI Launches Smarter Real-Time Voice Models
🌏 China Blocks Meta’s Acquisition of AI Agent Startup Manus
🎗️ Google’s AI Breast Cancer Detector Shows Promise in Real-World NHS Tests

Read The Bathubs.la/Q04h093v0n1r9

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No more words needed. Learn spec-driven development with coding agents now: https://t.co/67qxAPvPY...

DeepLearning.AI (@DeepLearningAI) — Mon, 18 May 2026 17:07:25 GMT

No more words needed. 

Learn spec-driven development with coding agents now: hubs.la/Q04h0Cq20

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AI gives generic answers when your prompts are generic. The fastest way to get more interesting out...

DeepLearning.AI (@DeepLearningAI) — Fri, 15 May 2026 21:02:59 GMT

AI gives generic answers when your prompts are generic.

The fastest way to get more interesting outputs? Give it more specific, unexpected context.

In AI Prompting for Everyone, Andrew Ng shares practical techniques to help you get more useful, creative responses from AI systems. 

Explore the course now: hubs.la/Q04gSTh10

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