Udacity

The tools are changing fast 🛠️
The people getting ahead are learning how to use them together 🧠

Explore programs in:
• Generative AI
• Agentic AI
• Python Programming
• Data Analytics
• Machine Learning
• AI Automation Workflows

Learn through hands-on projects designed for real-world application.

Our biggest sale of the season ends soon.

Lock it in at https://bit.ly/48zIPwA

Last chance to register for tomorrow's live build! Don't miss your chance to see our experts build an agentic intern in real time.

Save your spot (it's free): https://bit.ly/49L6Nav

Real stories. Real growth. Real outcomes.

From learning new skills to landing new opportunities, our graduates’ stories are proof of what happens when talent meets access.

Proud to celebrate graduates from the Accenture LearnVantage x Girls Who Code scholarship program, delivered by Udacity!

What would you do with your own AI intern?
🤖 Organize your inbox?
🤖 Handle expense reports?
🤖 Provide meeting briefs?

On May 27, we’re building one live. Join Udacity for an interactive session designed to help you leave with concrete guidance and practical instruction.

Tell us what AI intern would help you the most, maybe we'll build it 😉

Register free 👉 https://bit.ly/49L6Nav

You don’t get ahead because you’re interested in AI.

You get ahead because you know how to make AI useful.

Build practical skills in machine learning, Python, automation, data, and AI workflows with projects designed to mirror real-world work.

Our best pricing available for a limited time.

Lock it in today → https://bit.ly/48zIPwA

“When a PoC works, leadership assumes that the hard part is done.”

Getting the model to work is not the same thing as building a system your organization can actually operate, and that misunderstanding is probably responsible for a meaningful percentage of failed enterprise AI projects.

In today’s webinar, AI engineer and Udacity mentor Thiago Grabe unpacked the gap between impressive demos and production-ready AI systems, including:
✅ Why most enterprises should start with workflow-first AI instead of multi-agent autonomy
✅ The operational problems that show up after launch: runaway costs, observability gaps, latency, and governance failures
✅ Why organizational alignment is becoming just as important as model quality

This is a practical conversation for teams moving from AI experimentation to real deployment.

Watch the full recording here 📽️ https://bit.ly/3R4BxNj

🆓 Now available: try our most popular Nanodegree program, Agentic AI, free for seven days.

Stop piecing together blogs, videos, docs, and demos. Learn how to build production-grade agentic AI systems in one structured program, from prompting and workflows to MCP, LangChain, LangGraph, and multi-agent orchestration.

🤖 Join 19,000+ learners already building real AI agents and systems with Udacity.

Start your free trial 👉 https://bit.ly/3Rk27lv

⌛ Less than 48 hours until our live session. Save your spot ASAP.

ML Engineer & Data Scientist Thiago Grabe will cover:
✔️ Common failure points in agentic systems
✔️ Why demos break in real-world environments
✔️ Multi-agent orchestration and workflows
✔️ State management, memory, and tool use
✔️ What it takes to build production-grade AI systems

📅 Wednesday, May 13
⏰ 7AM PT

👉 Register for free: https://bit.ly/4f0XGG3