We change lives, businesses, and nations by providing job-ready skills in digital technologies. Forge your future in tech with Udacity.
Mountain View, CA
Joined June 2011
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What happens when marketers move beyond prompting and start building smarter AI-powered workflows?
We gave beta testers early access to our new AI Marketer Nanodegree program. Here's what they had to say.
Explore the program: bit.ly/4sW6Ybh
ALT A person wearing glasses looks towards the camera. Next to them, text reads: "Sabrina Palis, AI Marketer Nanodegree program Beta tester." The quote highlights the importance of integrating AI into marketing systems and maintaining human judgment. The design features a Udacity logo and a blue background with digital elements.
ALT A person is pictured against a dark blue background with a pattern of dots. Below the photo, text reads: "Husein Kedir Kelil, AI Marketer Nanodegree program Beta tester." A quote follows: "The biggest unlock for me was learning to think beyond using AI simply as a content-generation tool and instead use it as part of a structured marketing workflow." The image includes the Udacity logo in the top right corner.
ALT This image features a person smiling against a dark background with a gradient effect. The text includes the name "Osarenogae Ogieva" and their role as an AI Marketer Nanodegree program Beta tester. They mention building a multi-agent workflow for social media strategy, emphasizing decomposing the marketing workflow to enhance focus and productivity. The Udacity logo is present at the top right corner.
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The AI Marketer Nanodegree program is live today. We designed it for the marketers who want to build.
Every course ends with a project, so you graduate with a portfolio that proves what you can do, not just what you watched.
Learn more: bit.ly/4j7MrNK
AI search has created a whole new set of responsibilities for marketers. But what does doing GEO actually look like?
Our new Search Everywhere Optimization: GEO, AEO and AI Visibility course is built to help you put these skills into practice.
You'll learn how to:
→ Track where and how your brand appears in AI-generated answers
→ Optimize content to improve your chances of being cited by AI tools
→ Build visibility beyond your website through reviews, third-party content, and other sources
→ Audit your brand's AI search presence and develop a plan to improve it
Learn the skills to make your brand more discoverable in AI search. Explore the new course: bit.ly/4yV3lDR
Organic traffic is down, everyone says AI is why, and nobody can tell you what to do about it.
There’s no shortage of hot takes on this, but marketers don’t need more hot takes. They need practical guidance.
On October 27 at 8:00am PT, digital marketing specialist and Udacity mentor Megha Jain is running a live workshop to help. You'll leave with a repeatable processes, not vague best practices. Beginner friendly, no coding needed.
Save your seat ➡️ bit.ly/4zKjtJi
85% of builders worked on AI projects in the past year. But 1 in 3 has never shipped one to production.
Udacity surveyed 1,585 tech professionals and found the biggest blockers aren't technical. They're budget, ROI, security, and leadership buy-in.
Getting AI to production takes more than building a working demo. Read the full report ➡️ bit.ly/4elCuJO
AI is only spooky if you aren't ready for it.
Save on our latest courses in AI Engineering, Agentic AI, AI Ops & Security, and more.
Explore courses 🎃 bit.ly/48zIPwA
ALT A cute ghost illustration with big eyes floats against a dark, starry background. Text reads: "Don't ghost your goals. Build in-demand AI & tech skills for less." A "Save Now" button is at the bottom. The image promotes Udacity, part of Accenture, during a Halloween sale.
AI is writing more of your code. But can you trust it?
AI-generated work can look correct, complete, and production-ready. Sometimes it isn’t. As AI becomes standard across the software development lifecycle, knowing how to direct it, evaluate it, and verify its output is now a core skill.
Join Udacity and Ascendient Learning, both part of Accenture LearnVantage, for a free webinar with Dr. Dan Grahn.
You’ll walk away with:
✅ A clearer view of how AI is changing roles, responsibilities, and risks across the SDLC
✅ The ability to spot where AI-generated errors enter the delivery process
✅ Four guiding principles for working with AI-assisted tools
✅ A practical framework for directing AI and applying meaningful human oversight
📅 Wednesday, October 28, 2026
🕛 12 pm to 1 pm ET
Register free: ascendientlearning.com/train…
ALT This is a promotional image for a free webinar titled "AI is in your SDLC. Do you know what to trust?" The event is scheduled for October 28, 2026, at 12 PM ET/9 AM PT. It features a photo of Dr. Dan Grahn, identified as Udacity AI Product Lead. The bottom of the image includes logos for Udacity and Ascendient, both part of Accenture. There is a "Register Now" button on the left.
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We just launched a free AI marketing course.
90 minutes. No cost.
Here’s what you will learn to build:
🔄 Reusable AI skills that encode your brand voice, product knowledge, and platform guidelines
🗓️ Scheduled routines that run recurring marketing tasks automatically on a cadence
🤖 A system your whole team can use, with human review built in
If you have been using AI for individual tasks but still feel like you are doing most of the work yourself, this is the course that closes that gap.
Enroll for free → bit.ly/4yWPJJ2
ALT A digital image featuring a dartboard with a dart in the center, surrounded by circuit-like patterns. Text reads: "Free AI marketing course. 90 minutes. Start today." Below, it states: "From Udacity — the platform that has trained 25M+ professionals in AI and tech." A button labeled "Enroll for Free" is prominent, with Udacity's logo at the bottom right.
Swipe to see what you'll build in the new AI Ops Engineer Nanodegree program.
Three projects, each one a step deeper into production. A financial news sentiment pipeline. An e-commerce RAG service with evaluation and guardrails. A SalesOps agent with full observability and state replay.
Build the portfolio you need to get hired as an AI Ops engineer.
Explore the program today → bit.ly/4d8DxMK
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Most AI projects stall somewhere between "it works on my laptop" and production.
The skills that close that gap — versioning models, operating LLM applications at scale, running agents that don't fail silently — are what the new AI Ops Engineer Nanodegree program helps you build.
Three months. Three projects. A full production stack from MLOps through LLM Ops to agent operations.
Explore the program today → bit.ly/4d8DxMK
Security engineers know how to assess a web app. Most don't know how to assess an AI system.
ML engineers understand the model. Most can't tell you where the attack surface is.
That gap is where production AI gets compromised.
We built a Nanodegree program for the engineer who wants to close it.
The new AI Security Engineer Nanodegree program covers threat modeling, red teaming, and AI governance across four real projects on AWS.
Become an AI security engineer and secure AI, end to end.
Learn more → bit.ly/3SP07TI
No computer science degree required.
Sabrina Palis spent a decade as a teacher before enrolling in the Master of Science in AI degree program. Her capstone project: a decision support system that uses AI to detect anomalies in aerospace telemetry.
Watch the full graduate panel: bit.ly/4qE0Pj0
What's your best defense against an agent inventing data? It isn't the schema: schema validation checks shape, and a hallucinated value has perfect shape.
The agent needed a date, invented one, and the pipeline accepted it, which is how fabricated data spreads through systems that look well defended. The defense is layered: a schema that makes missing data representable, so the model has a legal way to say it doesn't know, plus validation that catches the internal inconsistencies a model smooths over.
That extraction work is part of the evaluation coursework in the new AI Engineering with Claude Nanodegree program.
Learn more about the program: bit.ly/4xttUA2
#AIEngineering #Claude #AgenticAI #StructuredOutputs
🤖 One of the cumulative projects in the new AI Engineering with Claude Nanodegree program is a claims intake agent.
You start with the raw agentic loop and build up to an agent that reads an ambiguous claim and decides its own next step: clarify with the user, route it forward, or escalate to a person.
By the last exercise the decision logic is yours, written and tested by hand.
Explore the program: bit.ly/3RvJKuE
#Claude #AIAgents #AgenticAI #AIEngineering
The best people to tell you about our master's in AI program? The ones who've been through it.
Join us live this Wednesday for a Q&A with three program graduates:
✅ Nhan Le – Data Quality Analyst, Meta
✅ Sabrina Palis – AI and Data Science Specialist
✅ Christopher O'Hara – Applied AI Engineer & Researcher
They'll share what the experience was really like: the challenges, the highlights, and what they'd tell someone considering the program today.
Register for free here, and come with your questions ➡️ bit.ly/4qgoYvD
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Multi-agent systems are having a moment, and plenty of them shouldn't exist.
Every agent you add brings coordination, handoffs, and failure modes the single-agent version never had, and a lot of problems come out better with one well-engineered agent than five loosely coordinated ones. The judgment call is knowing when the added complexity pays for itself; when it does, the hard parts are the unglamorous ones: scoped roles, structured handoffs, agents you can hold accountable.
You design that tradeoff, and build it with the Claude Agent SDK, in the new AI Engineering with Claude Nanodegree program.
Learn More: bit.ly/4wKQ1lt
#AgenticAI #Claude #MultiAgent #AIEngineering
Our take: for anything high-stakes, don't rely on a prompt at all.
A prompt can ask an agent to follow the rules, but it can't guarantee it will. That is fine for low-stakes work and risky the moment an agent is moving money or touching customer data. The fix is enforcement in code: deterministic control logic that holds the line no matter what the model decides, with a human in the loop where the stakes demand it.
That is how bounded autonomy gets built in the new AI Engineering with Claude Nanodegree program.
Learn more: bit.ly/4xihmeq
#AgenticAI #Claude #AIGovernance #AIEngineering
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Watch an agent bill grow for a quarter and a pattern shows up: routing, extraction, and classification all running on the largest model available, because that was the safe pick on day one and nobody revisited it.
Most of that work runs fine on a smaller, faster model at a fraction of the cost, and choosing it deliberately is an engineering call. It is one of the first calls you practice making in the new AI Engineering with Claude Nanodegree program.
Explore the program: bit.ly/4pTbBRY
#Claude #AIEngineering #AgenticAI #LLM
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"The program's greatest value lies in its portfolio-first approach, building production-ready AI systems rather than focusing solely on theoretical exams." - Thounda Craig Jr, master’s in AI student
Back to school looks a little different with our Master's in AI 🎓
This fall, skip the backpack and grab the skills that actually move your career forward: 50+ hands-on projects, a capstone, and a credential built for the future of work.
The master's in AI degree is designed for people who want to build with AI, not just learn it.
The back-to-school sale is ending soon. If you've been thinking about it, now's the time 👉 bit.ly/4yTYRi2
#BackToSchool #AI #MachineLearning #MastersDegree #Udacity #CareerGrowth #LearningAndDevelopment
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Most agent demos die the same death: they work in the meeting and fall over in production, because the demo was the model and production is the harness.
That harness is real engineering: controlling the loop, governing which tools the agent can reach, surfacing failures before customers hit them, and enforcing guardrails in code where a prompt would only ask nicely.
It is also most of what you build in the new AI Engineering with Claude Nanodegree program.
Learn More: bit.ly/4xhwmtd
#AIEngineering #AgenticAI #Claude #ProductionAI
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