DeepLearning.AI
@DeepLearningAI
We are an education technology company with the mission to grow and connect the global AI community.
114 Following 344.5K Followers
🚀 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: (
#AI# #Hiring# #TechJobs# #MarketingEngineer# #DeepLearningAI#
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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 Specialization
#DeepLearningAI# #MachineLearning# #LearnerSpotlight# #Education# #AICommunity#
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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:
#MachineLearning# #AI# #DeepLearningAI#
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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:
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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:
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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:
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🎉 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 challenge:
🔔 Save your spot for the next challenge here:
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Last day of the 7-day Voice AI Builder Challenge with The leaderboard is stacked and competition is heating up 🔥
Get your submissions in!
Deadline June 30 at 11.59pm PST
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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:
Hurry—challenge ends June 30!
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🚀 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?
👉
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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:
🎓 Want a head start? Check out the prerequisite course on Voice AI to get your skills ready before kickoff:
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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 waitlist:
#VoiceWithVB# #VoiceAI# #BuiltWithVB#
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🚀 We just launched our new public 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.
🔗
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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:
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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:
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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:
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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:
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“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:
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