Udacity

Udacity changes lives, businesses, and nations by providing job-ready skills in digital technologies.
(2160)

We prepare the world’s workforce to
take on new challenges with confidence, providing the best opportunity to empower the careers of the future. Our exceptional curriculum, personalized mentor support, and measurable outcomes create expertise with a focus on the in-demand competencies that ensure workplace relevance.

10/13/2026

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 → https://bit.ly/4s1WuH6

09/28/2026

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 → https://bit.ly/4iISfxv

09/26/2026

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 → https://bit.ly/4iISfxv

09/17/2026

You don't get good at securing AI systems by reading about them.

The AI Security Engineer Nanodegree is built around four production-grade projects:

1. Bedrock RAG agent on AWS
Threat model it. Red team it. Document every finding.

2. Containerized image classifier
Assess it for supply chain and container-level vulnerabilities.

3. RAG-enabled research agent
Run a full AI security assessment from first access to written report.

4. Clinical risk model
Complete a governance and compliance review against real frameworks.

Each project is what an AI security review actually looks like in a production environment. And you’ll get feedback from experienced mentors.

Become an AI security engineer and secure AI, end to end.

Learn more → https://bit.ly/3SP07TI

09/15/2026

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 → https://bit.ly/4gTZoK2

08/25/2026

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: https://bit.ly/4qE0Pj0

08/17/2026

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: https://bit.ly/3TFDWPQ

08/14/2026

🤖 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: https://bit.ly/4weBZaK

08/13/2026

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 ➡️ https://bit.ly/4qgoYvD

08/12/2026

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: https://bit.ly/45aeyEq

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