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Udacity provides online tech education through courses and Nanodegree programs designed with industry partners to stay practical. Courses are online with hands-on projects and real datasets to build tangible skills, plus 24/7 mentor support and an online resource center. It uses a subscription model for individual courses or Nanodegree tracks and also partners with companies for workforce training. Its goal is to help people gain practical tech skills to advance their careers and help organizations upskill their employees.
Industries
Enterprise Software
AI & Machine Learning
Education
Company Size
1,001-5,000
Company Stage
Debt Financing
Total Funding
$235M
Headquarters
Mountain View, California
Founded
2011
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Total Funding
$235M
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Health Care - No-premium health, dental, and vision benefits, 401K, FSA
Lifestyle - Monthly wellness stipend (gym memberships, work-out gear, etc.)
Learning - Reimbursements for conferences, classes, and seminars
Flexibility - Flexible work hours, unlimited vacation, and paid parental leave
Meals - Healthy catered lunches, dinners, snacks, and drinks on site
Fun - Board games, team outings, company parties, and more
Taught by AI pioneers, Stanford's free online course takes you far beyond ChatGPT. Most AI courses teach today's tools, but this free Stanford classic by Peter Norvig and Sebastian Thrun dives into the deeper foundational ideas you need to truly understand artificial intelligence. ZDNET's key takeaways. * Two Stanford AI pioneers teach this landmark course for free. * The curriculum reaches far beyond LLMs and prompting. * Expect 75 to 100 hours of challenging, durable lessons. Imagine for a minute that the technology that enables Star Trek transporters is suddenly real - it's being adopted nearly universally. Obviously, that capability would shake up everything. Within a year or so, transporter pads would be on every street corner and in every driveway. A trip from New York to LA would take five minutes and cost, maybe, $20. Supporting the technology would open up a series of business opportunities. Training courses would crop up explaining how to install transporters, how to tell them where you want to go, how to repair them, how to incorporate them into your business strategy, and more. The gotcha would be that while transporter technology might extend its knowledge of fundamental physics, most people wouldn't dive into learning the foundational physics principles behind the technology. Instead, they would only want to know how to get from Pittsburgh to Peoria. Generative AI is a lot like that. The transformative technology has had enormous acceptance, and teaching tools are everywhere. In fact, I've been running a series on free AI courses and certificates for upskilling since gen AI emerged. But there's much more to AI than transformers, large language models, diffusion models, prompt engineering, and modern gen AI applications. Familiarity with those aspects of AI is now table stakes for AI skill building. In short, gen AI is only part of the much broader field of artificial intelligence. To that end, I want to introduce you to a Stanford AI course from way back in 2011. Lessons from the past. Hang with me here a minute because it's crucial to establish that foundational knowledge ages at a different pace than product knowledge. Yes, 18 months ago, jmoberg didn't have agentic AI coding, and now jmoberg do. However, many of the fundamental problems AI researchers study, and the methods they use to solve them, are far more durable and well worth learning about. To that end, Udacity is hosting a free version of the landmark Intro to Artificial Intelligence course that Peter Norvig and Sebastian Thrun originally taught at Stanford in 2011. The course was massive in both size and influence. More than 160,000 people enrolled in the original online offering, making it one of the pioneering massive open online courses and helping set the stage for Thrun to create Udacity. Norvig is a distinguished education fellow at Stanford's Institute for Human-Centered AI and a research director at Google. He also co-authored Artificial Intelligence: A Modern Approach, a leading textbook still used in university AI courses in 2026, including at Carnegie Mellon, Boston University, Texas A&M, and San Jose State. Thrun is the founder and executive chairman of Udacity, a former Stanford professor, and a Google fellow best known for pioneering work in self-driving cars and robotics. I recommend this introductory course because it presents AI as a broad field of computer science, not just a shorthand for large language models. The course covers: * Problem-solving and search * Probability and probabilistic inference * Machine learning and unsupervised learning * Knowledge representation using logic * Planning and planning under uncertainty * Reinforcement learning * Hidden Markov models and filtering * Markov decision processes * Adversarial search, game-playing, and game theory * Computer vision * Robotics and robot-motion planning * Natural-language processing These aren't transient products or features. They're enduring mathematical and conceptual foundations that remain relevant even as the technology built around them changes. This is what makes it such an excellent complement to the typical generative AI courses jmoberg is seeing now. Keep in mind that, even today, LLMs can't solve every AI challenge. There's more to AI, and this course covers that expanded universe. It showcases the problems AI researchers considered fundamental before chatbots came to dominate the public conversation. It also demonstrates that intelligence involves more than generating language and pictures. AI systems may need to represent knowledge, assess uncertainty, search for solutions, plan actions, perceive their surroundings, and learn from their results. Udacity doesn't publish a completion-time estimate. There are 22 main lessons (plus problem sets, introductions, exams, and more). I did the game theory lesson, which was fascinating. It contained 19 segments, which took me about two hours, including exercises. With all the exercises and exams, I'd recommend allocating 75 to 100 hours to work your way through the class. A broader perspective. As I mentioned earlier, I know this is an older class. Some examples and terminology in Norvig and Thrun's class show their age. The video and audio quality isn't quite up to the standard jmoberg is used to today. But the material is deep and comprehensive. The opportunity to learn from the guy who quite literally co-wrote the leading textbook on AI makes this class particularly valuable, especially since it's completely free to experience. To be clear, this class is not a substitute for current generative AI training courses. It predates transformers, LLMs, diffusion models, and contemporary AI development frameworks. The lesson does not address AI ethics or the life-changing issues AI has been causing on the planet. Treat this class as a companion course to newer sessions that cover today's models and tools. If you only want the chatbot-equivalent of telling the transporter where to send you, a gen AI training course may be enough. But if you want to understand the enduring concepts and a broader perspective that will provide you with a deeper foundation and understanding of AI, and how much larger AI is than just ChatGPT, Norvig and Thrun's landmark course is a hidden gem well worth your time. Would you take this free Stanford course to understand AI beyond ChatGPT? Let jmoberg know in the comments below.
| AI Engineering With Claude From Udacity |. | Written by Sue Gee | | Tuesday, 07 July 2026 | | Udacity has just launched a four-month Nanodegree Program that prepares developers to build and ship production-grade AI agent systems with Anthropic's Claude. It is just in time for prospective participants to take advantage of its Summer Sale. Enrol today, before 15:59 PT using code "JULY4TH50" for 50% off. Disclosure: When you make a purchase having followed a link to from this article, I Programmer may earn an affiliate commission which makes a valuable contribution to maintaining this site now and in the future. Claude regularly comes top as the most popular LLM for agentic AI and Udacity's latest Nanodegree Program, AI Engineering With Claude provides four project-based courses in which you build agentic AI systems with Claude across financial services, retail, manufacturing, and insurance. With expert mentor reviews you can produce a portfolio that proves you can ship. This is a 4-month program, claimed to require 38 hours, at Intermediate level and its prereqisites are: * Agentic AI * Generative AI Fluency * Basic Python * Basic typescript You will also need to be able to communicate fluently and professionally in written and spoken English. The curriculum relies heavily on Claude, the Claude Agent SDK, Model Context Protocol (MCP), and Claude Code. It is also designed to help align your skills with Anthropic's independent Claude Certified Architect Foundations exam. AI Engineering With Claude comprises four courses, each culminating in a hands-on project: Harness Engineering with Claude and Claude Code - 12 hours (15 lessons) Build the engineering skills to put Claude and Claude Code to work on real systems. You'll choose the right Claude model for a job by weighing intelligence, speed, and cost, then design agent architectures that perceive, reason, and act. Using the Claude Agent SDK, you'll build production agents driven by stop-reason loops and engineer context strategies that keep long conversations affordable. Project: Stand up, run, and verify four reference systems from the course, then defend each one's design in a reflection brief grounded in your own run output. MCP in Action - 11 hours (11 lessons) Connect AI applications to the tools, data, and systems they need using the Model Context Protocol (MCP). You'll start with the architecture: how hosts, clients, and servers talk to each other. From there you'll work through the core server features (tools, resources, and prompts) and client features like roots and sampling. You'll build your own MCP servers, integrate them with Claude Agent SDK agents, and add custom tools of your own. Project: Build the "PriceScout" AI agent. Write a client that uses an LLM to command custom scraper and database servers to analyze competitor pricing automatically. Agent Evaluation and Observability with Claude - 7 hours (8 lessons) Make AI agents you can trust by measuring what they do and watching how they behave in production. You'll enforce structured outputs with schemas so an agent's responses stay predictable and machine-readable. Then you'll build automated evaluation frameworks that score an agent's task completion, quality, and reliability. You'll apply these skills to real document-extraction systems: a validated, routed insurance policy pipeline and a resilient mortgage extraction system that holds up under messy input. Project: Operate three document and risk systems you built: run them, break them on purpose, and defend their design with your own evidence. Bounded Autonomy and Guardrails with Claude and Claude Code - 8 hours (5 lessons) Give AI agents room to act on their own while keeping them inside firm boundaries. You'll design multi-agent systems where an orchestrator coordinates specialized agents, then build a hub-and-spoke system with the Claude Python SDK. From there you'll add guardrails that hold: deterministic hooks that enforce agent compliance no matter what the model decides to do. Project: Build an enterprise-ready Code Review tool using the Claude Agent SDK that uses different tools to check the quality of code in PRs. The 50% offer, which is valid for new customers until July 7, 2026 at 15:59 PT, by using code "JULY4TH50" applies to any monthly subscription, multi-month bundle, or one-time Nanodegree purchase and even extends to the Master of Science in AI (MSAI) degree, outlined in previous news. More Information AI Engineering With Claude Related Articles Udacity Nanodegree in Responsible AI Masters Degree in AI from Udacity Udacity Launches Gen AI Nanodegree More Machine Learning From Udacity To be informed about new articles on I Programmer, sign up for its weekly newsletter, subscribe to the RSS feed and follow I Programmer on Facebook or Linkedin. | VSCode Improves Agent Support 06/07/2026 Visual Studio Code 1.127 has been released with agents that can build and test web apps in the browser, safer per-site browsing, and new ways to keep busy agent sessions organized. + Full Story | | Xcode 27 Extends Agent Use 22/06/2026 Apple has introduced Xcode 27 with improvements including new APIs for integrating AI models, and extended agentic coding. The announcement was made at Apple's developer conference, WWDC 2026, where X [...] + Full Story | | More News * MotionDisco For Extreme LocoManipulation * Secrets of the Herculanuem Scrolls Revealed * Microsoft Releases Windows Developer Configurations * Keep Aqua Drones, Not Fish * Vercel's Deepsec Scans Your Code With Agentic AI * Apache Props Antlib 1.0 Released * Linux Finally Removes strncpy * Rust Maintainer's Fund * GitHub Actions Raises Checkout Security * Rust on the Rise; Python in Decline? * Stanford's CME296 Diffusion & Large Vision Models * Learn Vibe Coding On Kaggle | Comments or email your comment to: [email protected] | | Last Updated (Tuesday, 07 July 2026) |
Udacity-Accenture launches $5K accredited MBA for AI product leaders. Udacity-Accenture launches accredited MBA under $5K, training next-gen AI product leaders with business and hands-on AI skills. Udacity, now part of Accenture LearnVantage, has launched a fully accredited MBA program focused on training AI product leaders. The program is priced under $5,000, making it one of the most affordable accredited MBAs globally, with a curriculum blending business fundamentals and hands-on AI skills. Key highlights of the Udacity-Accenture MBA. * Launch Date: March 12, 2026 * Accreditation: Fully accredited MBA degree * Cost: Less than $5,000 * Target Audience: Aspiring AI product managers and leaders * Delivery Mode: Online, flexible, designed for global learners * Parent Organization: Udacity is now part of Accenture LearnVantage (NYSE: ACN) Curriculum focus. * AI Transformation - strategies for integrating AI into business models * Business Intelligence - data-driven decision-making frameworks * Growth Marketing - scaling AI-driven products in competitive markets * Product Leadership - managing cross-functional AI teams and innovation pipelines Why this matters. * Democratization of Access: Traditional MBAs often cost $50,000-$100,000. At under $5,000, this program opens doors for a much wider talent pool. * Industry Alignment: Unlike conventional MBAs, this program emphasizes hands-on technical training, preparing graduates for AI-first product roles. * Accenture's Backing: With Accenture's global reach, graduates may benefit from strong industry connections and recruitment pipelines. Comparison: Traditional MBA vs. Udacity-Accenture MBA. | Feature | Traditional MBA | Udacity-Accenture MBA | | Cost | $50k-$100k | <$5k | | Accreditation | Yes | Yes | | Focus | General business | AI product leadership | | Delivery | In-person/Hybrid | Fully online | | Technical Training | Limited | Strong AI/tech focus | | Global Accessibility | Moderate | High (online, low cost) | Risks & considerations. * Recognition: While accredited, some employers may still prefer traditional MBAs with established reputations. * Networking: Online MBAs may offer fewer in-person networking opportunities compared to elite business schools. * Specialization: The AI focus is powerful but may limit flexibility for those seeking broader management careers. Takeaway. For professionals aiming to lead AI-driven product teams, this MBA offers a cost-effective, globally accessible, and industry-backed pathway. However, those seeking traditional corporate leadership roles outside tech may still find conventional MBAs more advantageous.
| Masters Degree in AI from Udacity |. | Written by Sue Gee | | Wednesday, 04 February 2026 | | Udacity has partnered with Woolf University to launch a Master of Science in Artificial Intelligence program which you can earn by completing around a dozen Nanodegrees. It is estimated that you can complete it within 18 to 24 months at a cost of less than $5,000. Take advantage of 50% discount for the first 4 months to make it even cheaper. Udacity's Master of Science in AI (MSAI) degree requires around a total of 2,250 study hours, which earns 90 ECTS credits. Like other online programs from edX and Coursera these credits will count towards degree certification by other external universities - in this case in 60+ countries including the USA and Canada. What is different here is that you can complete an entire Masters Degree with Udacity, going at your own pace win whatever time you have available. What's more. Up to 33% of the credits can be retrospective - so if you have already gained some Nanodegrees from Udacity, once you have enrolled in the program, they can be counted towards it. This video addresses most of the questions you might have about this master's Degree including its credibility compared to one from a traditional university which, of course, costs a great deal more. Jared Molton considers that, as a fully accredited master's degree program it on a par in terms of and also points out that recent data found that three-quarters (75%) of jobs in AI have preference for candidates who have a master's degree. To complete the degree program you need around 875 credit hours from its Core Curriculum which consists of seven Nanodegrees, most of which seem very familiar: * AI Programming with Python 52hrs * Introduction to Machine Learning 49hrs (with PyTorch or TensorFlow) * Machine Learning Engineer ~ 95hrs * Generative AI ~ 45hrs * Agentic AI 51hrs * Artificial Intelligence ~ 95hrs (Classical AI / Search & Logic) * Deep Learning 61hrs The other compulsory component is the Capstone Project which counts as 750 hours and serves as both the masters thesis and a personal portfolio piece. This leaves 625 hours of Electives - with a wide choice of programs across the whole of Udacity including the School of Programming and Development and the School of Autonomous Systems. One obvious choice for I Programmer readers is the very latest nanodegree - AI-Powered Software Engineer, which is a 55 hour course at Intermediate that could be considered the Nanodegree for Vibe coding. Indeed its final course is "Vibe Engineering" with the blurb: Master the professional skills to engineer production-quality software with AI assistants, agents, and tools. You'll learn to review AI-generated code for quality, security, and reliability risks, and master structured communication to prevent common pitfalls like hallucinations and over-engineering. By integrating AI into the full development lifecycle from planning and coding, to testing and documentation, you'll build software faster while maintaining engineering standards and professional responsibility. If you enroll in this Nanodegree, or any other in the next couple of days you can benefit for the 50% off for up to 4 months and it also applies to the Master Degree in AI: This offer expires on Sunday February 8th so act soon! More Information Master of Science in AI (MSAI) degree Related Articles Udacity Launches Gen AI Nanodegree Deep Learning From Udacity More Machine Learning From Udacity Udacity Launches All Access Subscription Model To be informed about new articles on I Programmer, sign up for its weekly newsletter, subscribe to the RSS feed and follow I Programmer on Facebook or Linkedin. | GitHub Copilot SDK Enters Tech Preview 26/01/2026 The GitHub Copilot SDK has entered tech preview. The SDK can be used to build the orchestration layer for agentic workflows, handling planning, tool/MCP calls, state and streaming. + Full Story | | C# Is TIOBE Language of 2025 07/01/2026 For the second time in three years, C# has been awarded the accolade TIOBE Programming Language of the Year by virtue of have achieved the largest year-on-year increase in its ranking on the TIOBE Ind [...] + Full Story | | More News * Rust 1.93 Updates Musl To Improve Networking * LEGO SMART Bricks - Good Or Bad? * Mongobleed Being Actively Exploited * pg-aiguide - Agentic Coding For PostgreSql * VSCode Gets Agent Skills * Object-Oriented - Worst Idea Ever? * Ktor 3.4 Improves HTTP Client Support * HuggingFace Skills Fine Tune LLMs * Toad-Pythonic Universal Terminal Interface for AI Agents * Nordic API Platform Summit 2025 * XAML Studio Open Sourced * Coursera For Positive Professional and Personal Outcomes * Rue: Steve Klabnik In Collaboration with Claude | Comments or email your comment to: [email protected] | | Last Updated (Wednesday, 04 February 2026) |
Udacity & Woolf launch Master's Degree in AI, democratizing access to graduate programs in tech. * Innovative master's degree 90% more affordable than traditional programs * Program accredited and recognized through Woolf - a Saïd Business School (University of Oxford) and Harvard Business Publishing education partner * Leverages the same project-based instructional design powering Udacity's transformational Nanodegree programs Udacity, part of Accenture and the leading provider of tech skills for the AI economy, today announced the launch of a fully accredited Master of Science in Artificial Intelligence degree program designed to lower barriers of entry to higher education and unlock careers in tech. MOUNTAIN VIEW, Calif. & NEW YORK-(BUSINESS WIRE)-Udacity, part of Accenture (NYSE:ACN) and the leading provider of tech skills for the AI economy, today announced the launch of a fully accredited Master of Science in Artificial Intelligence degree program designed to lower barriers of entry to higher education and unlock careers in tech. "We've been at the forefront of AI education since the beginning, training tens of thousands of professionals who are now driving AI initiatives at companies worldwide," said Udacity CEO Kai Roemmelt. "This evolution into accredited degree programs represents the natural next step - giving our learners not just the skills that employers demand, but also the formal recognition that opens doors globally." For the first time, learners can earn a master's degree built around Udacity's hallmark project-based curriculum - at a fraction of the cost of traditional graduate programs. Degrees are awarded by Woolf, a global leader in higher education innovation, and are recognized through the European Credit Transfer and Accumulation System (ECTS) across more than 60 countries - including the U.S., Canada, Australia, and 43 European nations. "This partnership represents a milestone in making formal academic recognition accessible to a global learner base," said Rector and Woolf President Dr. Joshua Broggi. "Udacity's expertise in high-impact, project-based learning pairs naturally with Woolf's accredited degree infrastructure. The result is a world-class master's program that meets students where they are, wherever they are." AI is everywhere at work, but efficacy lags. Udacity's latest research finds that while 90% of workers use AI on the job, 3 in 4 routinely abandon AI tools mid-task due to gaps in skills, systems, and trust. At present, just 5% of GenAI initiatives currently show a measurable P&L impact, but 67% of c-suite leaders still view AI as a driver of revenue growth - with 9 in 10 planning to increase AI investments this year according to a recent Accenture Pulse of Change Report. This has created a significant career opportunity for professionals who can drive AI initiatives at their companies - with organizations willing to pay a 25% premium for workers with AI skills. A Real Master's Degree, Built for Real Life The Master of Science in Artificial Intelligence program from Udacity and Woolf addresses these critical gaps by providing a flexible, affordable path to advanced credentials for working professionals and career changers without sacrificing career momentum: * Radically Affordable: Can be completed for as little as $3,500 (USD) - a fraction of traditional master's programs that can exceed $60,000 annually. * Industry Relevant: Courses are project-based and developed with input from leading tech companies, helping graduates build portfolios that prove their capabilities. * Fully Accredited: Degrees awarded by Woolf carry academic weight comparable to other leading higher education institutions in Europe, North America, and Australia - and are widely accepted for immigration, visa applications, and doctoral programs in 60+ countries. * Backwards Compatible: "Recognition of Prior Learning" allows current and former Udacity students to apply their previously completed Nanodegree programs toward a master's degree, potentially accelerating their path to graduation. * Highly Flexible: Students progress at their own pace through 12 Udacity Nanodegree programs plus a capstone project - approximately 2,250 hours in total, the standard workload for a European master's degree under the European Credit Transfer and Accumulation System. Since launching some of the world's first large-scale AI courses, Udacity has helped define how technology professionals learn cutting-edge skills. The company's Nanodegree programs have been completed by tens of thousands of learners, many of whom have gone on to leadership roles at major technology companies. This new Master of Science in Artificial Intelligence program represents the culmination of more than a decade of innovation in AI education, now backed by the academic infrastructure and recognition that comes with Woolf's accreditation. "We're not just adding credentials to existing learning, we're democratizing access to advanced education in one of the most important fields of the 21st century," said Roemmelt. "This program proves you can break down the traditional barriers to higher education while maintaining academic rigor and delivering real career impact. It's about making opportunity accessible to everyone with the talent and drive to succeed in AI." The creation of the Master of Science in Artificial Intelligence degree program from Udacity and Woolf is a continuation of Accenture's $1 billion investment in LearnVantage - a comprehensive learning and training service that helps individuals, organizations, and nations build the skills they need to grow in the AI economy. Since launching LearnVantage in 2024, Accenture has acquired Udacity, TalentSprint, Ascendient Learning, and Award Solutions, scaling Accenture's deep capabilities as a world-class learning organization helping clients meet their business growth objectives and enabling people to develop the relevant skills they need to make the most of the opportunities that technological change is bringing. Accenture is a leading solutions and global professional services company that helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 779,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most AI-enabled, client-focused, great place to work in the world. Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360° value we create for all our stakeholders. Visit us at accenture.com. About Udacity Udacity, part of Accenture, is a global leader in AI and technology education - offering project-based learning programs designed in partnership with leading technology companies. Founded in 2011, Udacity has trained hundreds of thousands of students in artificial intelligence, data science, programming, and cloud computing. The company's Nanodegree programs are recognized throughout the technology industry for producing job-ready professionals with immediately applicable skills. About Woolf Woolf is an accredited and globally recognized collegiate higher education institution that enables qualified education providers to offer accredited degrees through a shared academic platform. Registered in the European Union and operating under rigorous quality assurance standards, Woolf issues portable degrees recognized across 60+ countries through compliance with the European Qualifications Framework. Dallin Hatch Udacity, part of Accenture [email protected] NEW YORK-( BUSINESS WIRE )-Accenture announced an expansion of its collaboration with Amazon Web Services (AWS) to deliver transformative digital services to public sector... LONDON-( BUSINESS WIRE )-Accenture has acquired Decho, a UK-based technology and AI consultancy... NEW YORK-( BUSINESS WIRE )-Accenture and Google Cloud are driving client reinvention with Gemini Enterprise agentic AI solutions...
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Industries
Enterprise Software
AI & Machine Learning
Education
Company Size
1,001-5,000
Company Stage
Debt Financing
Total Funding
$235M
Headquarters
Mountain View, California
Founded
2011
Find jobs on Simplify and start your career today