Udacity

Udacity

@udacity · 655K subscribers · 30,242 videos · English

Udacity is your destination for building in-demand skills for the careers of today and tomorrow. Our curriculum is co-created with the world’s most innovative tech companies and taught by industry leaders, and our real-world projects and personalized feedback ensure mastery of skills that are truly job-ready. Whether you're looking to switch careers, get a promotion, impress on your next project, or stay current on trending tech, Udacity is here to help. Access our entire best-in-class with a single subscription today! Udacity is now part of Accenture.

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Videos

2:03

What You’ll Build in the AI Marketer Nanodegree Program

1K views · 4d ago · 2:03

Lots of marketers use AI. Very few build with it. The ones who do are pulling ahead fast. The AI Marketer Nanodegree program from Udacity takes you through four project-based courses designed to close that gap. You’ll rebuild your marketing strategy for an AI world, pressure test ideas on synthetic audiences before you spend a dollar, learn to get your brand cited in AI-powered search, and build a team of AI agents that runs your marketing workflows on its own.

2:02:26

Generative Engine Optimization (GEO): Get Cited by ChatGPT & Gemini

2K views · 15d ago · 2:02:26

Guest: Generative Engine Optimization

Learn generative engine optimization (GEO): how to get your content cited and recommended by ChatGPT, Gemini, Perplexity, and Claude. You’ll learn How search evolved from keywords to conversational AI queries, and what that changes about SEO The 5 principles of generative engine optimization: structure and clarity, context and depth, evidence and authority, entity and topic relevance, freshness and accuracy How to test whether your brand (or a competitor) shows up in AI…

1:11:33

AI in the software development lifecycle: failure modes and fixes

1K views · 16d ago · 1:11:33

AI is changing how software gets built, planned, tested and maintained. This session shows where it helps, where it fails, and how to keep your team in control as it evolves. Dr. Dan Grahn, seasoned AI researcher, cybersecurity expert, walks through the software development lifecycle (SDLC) and the failure modes AI introduces at each phase. He then gives four cornerstones and five skills that keep teams stable while the tools keep changing.

Topics: Welcome and introductions · "Work that's too fine, too early" · What the SDLC is, and what AI changes · One app, built and retired in two hours · Jobs, adoption and why full autonomy isn't ready · AI failure modes across the SDLC

1:44

The AI Marketing Skills That Separate Good from Great

2K views · 1mo ago · 1:44

AI is changing marketing fast. Knowing how to prompt isn't enough anymore. The AI Marketer Nanodegree program from Udacity is built for marketers who want to go further. In four project-based courses, you'll sharpen strategy with AI, run synthetic audience testing, optimize for AI-driven search, and build multi-agent systems that handle complex marketing workflows.

9:35

Loop Engineering Explained: The AI Skill That Comes After Prompting

2K views · 2mo ago · 9:35

Loop engineering is the AI practice taking over software development right now. So what is loop engineering? At its core, it's the shift from writing prompts to designing AI systems that write their own prompts, check their own work, and keep going until the job is done. Boris Cherny, the creator of Claude Code, put it plainly: "I don't prompt Claude anymore. I have loops running that prompt Claude."

Topics: The Boris Cherny quote that started everything · How AI skills evolved: prompting, then agents, then loop engineering · The 5-step AI loop structure, explained simply · Agentic loop vs. AI agent: what's the actual difference? · The Ralph loop: why a simple idea works better than you'd expect · Three risks to understand before running AI loops

59:05

Ask a Graduate: Master's in AI Panel Q&A

1K views · 2mo ago · 59:05

Three people. Three different backgrounds. One master's degree in AI. In this panel, they cover Their decision to pursue this master's program How they balanced a demanding degree with full-time work and life What the core curriculum actually looks like — from deep learning to autonomous systems to generative AI What they built for their capstone projects and how those projects have already opened doors professionally Whether the degre accreditation holds up in the real job…

49:52

What actually turns an LLM call into an AI agent?

1K views · 4mo ago · 49:52

What really separates a plain LLM call from an AI agent? In this live session, Udacity instructor Peter Kowalchuk answers that by building an agent from the ground up in plain Python — no LangChain, no orchestration library — adding one capability at a time until a single model call becomes a multi-agent workflow.

Topics: Meet Peter Kowalchuk · Setting up the LLM: Azure, Key Vault, and secrets · Structuring the project: services, agents, knowledge, tools, workflows · Demo 1 — A direct LLM call has no scope · User vs. system roles, and why memory matters · Why an LLM call isn't an agent yet

9:46

What’s a Token, Anyway? And Why Is Everyone Suddenly Tokenmaxxing?

4K views · 5mo ago · 9:46

Meta built an internal dashboard called Claudonomics that ranked employees by how many AI tokens they were burning through. The top user got the title "Token Legend." It was taken down after the press found it — but the practice of tracking AI usage by token consumption isn't going away.

Topics: What is tokenmaxxing (and why it has two X's) · What exactly is a token? · The OpenAI tokenizer demo: words vs. tokens · The 75-words-to-100-tokens rule · How AI vendors charge you (and what gets counted) · The context window: your AI's working memory

14:39

How I Turned a Side Hustle into a Massive Exit | Tech Career Advice

827 views · 5mo ago · 14:39

Guests: Tech Career Advice, Matt Wilkinson

How do you turn a side hustle into an acquisition by one of the biggest companies on Earth? In this episode of How I Broke Into Tech, we sit down with Matt Wilkinson—a founder, engineer, and product leader who is currently building on the bleeding edge of AI. Matt takes us through his unconventional start, from teaching soccer to 3-year-olds to working in a 4-person 3D imaging startup that completely reshaped his career trajectory.

Topics: First Jobs: Soccer Camps & Pergola Painting · The 4-Person Startup that Changed Everything · The "Lightbulb Moment" for ShoeFitr · Building a Side Hustle While at Johnson & Johnson · Getting "Kicked Out" and Gathering Data · Risk Allocation: Taking Rejection & Putting Yourself Out There

📖 Mentioned book: a blueprint for anyone looking to master risk allocation, pursue

59:00

Build an AI Coding Agent That Works While You Sleep (Live Demo)

2K views · 5mo ago · 59:00

Watch a live build of a self-correcting AI coding agent using Ralph Loops — an agentic workflow pattern that plans, executes, tests, and fixes its own code until the job is done. You'll learn How to break a project into agent-ready user stories How Ralph Loops handle long-running tasks and context management When this pattern makes sense (and when it doesn't) What it actually looks like when AI writes, tests, and commits its own code

17:32

Why I Left Oxford to Build a Tech Startup | Tech Career Advice

668 views · 5mo ago · 17:32

Guests: Tech Career Advice, Joshua Broggi

How does a philosophy professor at Oxford become the CEO of a global edtech powerhouse? In this episode of How I Broke Into Tech, we sit down with Joshua Broggi, the founder and CEO of Woolf. Joshua’s journey is anything but traditional—moving from manual labor on a Vermont farm to the governing parliament of Oxford University, and finally to Silicon Valley.

Topics: Early Lessons: Manual Labor and Farm Life · Studying Philosophy, Religion, and Sanskrit · Traveling the World and Teaching in Scotland · Why Higher Ed is a "Bottleneck" on Civilization · The AI Revolution: Why Engineers Must Manage Agents · Digital Migration: How to Move to Silicon Valley Anywhere

📖 Mentioned book: where he discusses the power of

57:37

Why Agentic AI Projects Fail: Moving from POC to Production (Full Webinar)

1K views · 6mo ago · 57:37

You’ve seen AI agents work perfectly in demos, but most projects stall when transitioning from a prototype to a real-world production environment. In this webinar, Data Scientist and ML Engineer Thiago Grabe breaks down the gap between successful proof-of-concepts (POCs) and scalable, production-ready Agentic AI systems.

Topics: The Agentic AI Landscape & Governance Bottlenecks · The "POC Trap": Why Demos Fail in Production · 4 Architecture Patterns for Agentic AI · 6 Common Production Failure Modes · Governance: Who Owns the AI Agent? · A Suggested Roadmap for Agentic AI Deployment

1:18

The 14-Day Sprint to Build a Viral App 🚀

683 views · 6mo ago · 1:18

How do you go from zero to the #1 app globally in just 14 days? Aliona Slobodianiuk breaks down the "nonstop" sprint to launch a viral sensation. Recognizing that the world was moving fast, Aliona’s team worked for two weeks straight to overhaul their mobile app and backend systems. They successfully predicted a massive viral wave, leading to

20:18

How She Built a #1 App in 2 Weeks | Tech Career Advice

912 views · 6mo ago · 20:18

Guests: Tech Career Advice, Aliona Slobodianiuk

How do you go from being a self-described "introvert" waitress to the Chief Product Officer behind a global AI phenomenon? Aliona reveals the "behind-the-scenes" of that viral moment—including how her team worked nonstop for 14 days to launch before the competition.

Topics: First Job: From Waitressing to Empathy in Product · Finding Product Management by Accident · Taking the Leap into AI and Machine Learning · The Tech Behind "Magic Avatars" · Predicting Virality: How Lensa Hit #1 · The Career Blueprint: 3 Lessons for Tech Leaders

10:42

Claude Skills Explained: Why Portability is the Killer Feature

8K views · 6mo ago · 10:42

Claude Skills are quickly becoming one of the most popular features in AI, changing how we interact with LLMs by moving beyond one-off prompts. In this video, we break down exactly what a "skill" is: a reusable set of instructions that tells Claude how to perform specific tasks your way every single time.

Topics: Reusable instructions vs. simple prompts · How Claude uses skills for PowerPoints and PDFs · Plain language skills vs. technical code skills · Built-in Claude options and the "Skill Creator" · Skill examples for Developers and Marketing · Naming conventions (Kebab Case)

▶️ Mentioned videos: Watch previous video on OpenClaw

1:01:55

Marty Cagan on the Current “Golden Era” for Product Management (Full Interview)

34K views · 6mo ago · 1:01:55

Is AI changing the fundamental role of the Product Manager, or just the tools we use? In this interview, Silicon Valley product legend Marty Cagan (Founder of SVPG and author of INSPIRED) joins Udacity VP Jared Molton to define the new standard for PMs. As AI lowers the barrier to building, the gap between "product theater" and real product leadership has never been wider.

Topics: Defining the PM role · The 3 types of PMs · The PMs types that are still relevant today · Product Managers vs Project Managers · PMs as builders · Building to learn

1:28

Why He Left Google with No Back Up Plan

1K views · 6mo ago · 1:28

Guest: No Back Up Plan

Stephen explains the unconventional decision to leave a full-time Product Manager role at Google without a backup plan. By reducing his cost of living, he afforded a two-year soul-searching journey across the US to escape societal expectations and discover his own path.

16:44

Why I Left Google to Build My Own Company | Tech Career Advice

1K views · 7mo ago · 16:44

Guests: Tech Career Advice, Stephen Congetta

Why would someone walk away from a "dream opportunity" at Google with absolutely no backup plan? In this episode of How I Broke Into Tech, we sit down with Stephen Congetta, the co-founder of Exponent and a Forbes 30 under 30 alumni. Stephen shares the raw story of his journey from being a high school summer tutor to becoming a Product Manager at Google - and why he eventually chose to leave it all behind for a two-year road trip across 45 states.

Topics: First job ever · First tech job at Google · Why Stephen left Google · The benefits of sabbatical · The origins of Exponent · Going back to school

1:53

The "Humiliating" Secret to Career Growth #careergrowth #careeradvice #productmanagement

1K views · 7mo ago · 1:53

In this clip, Manlio Lo Conte breaks down how taking on a "humiliating" or tedious task—like running a massive planning process—can be the ultimate career hack. Sometimes, the work that no one else wants to do is exactly what puts you in the room with leadership. By simply "holding the clipboard," Manlio gained visibility across the entire organization and eventually earned a seat at the table for major decisions.

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