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Announcing Generative AI for Software Development, a new specialization on Coursera! Taught by my friend and longtime instructor Laurence Moroney 🇺🇸🇮🇪 🏴󠁧󠁢󠁷󠁬󠁳󠁿. Using GenAI for software development goes well beyond using chatbots for code generation. This 3-course series shares current best practices for AI use through the entire software... show more

Andrew Ng

1,644,116 subscribers

69,454 次观看 • 1 年前 •via X (Twitter)

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9 条评论

Learner 的头像

Learner1 年前

@lmoroney It’s an exciting addition. It would be fantastic if the course cover all phases of software development, including requirement engineering and software architecture and design, rather than focusing on coding and testing.

Johnny Blake 的头像

Johnny Blake1 年前

@lmoroney Is this relevant for people with no coding skills?

Shawn Chauhan 的头像

Shawn Chauhan1 年前

@lmoroney Does this apply to someone who has zero experience with coding?

Vivek Sharma 的头像

Vivek Sharma1 年前

@lmoroney This is awesome. Whatever Andrew recommend, we should follow.

Appy Pie 的头像

Appy Pie1 年前

@lmoroney Exciting news! The new specialization on Generative AI for Software Development on Coursera sounds fantastic! It’s great to see a comprehensive approach covering the entire software lifecycle. Can’t wait to see how LLMs can enhance the coding experience! 💻✨

Anthony Simms 的头像

Anthony Simms1 年前

@coursera @lmoroney That's great but it's a shareholder I want to know how the enrollment has been which you don't report on a monthly basis and I wish you would. You've dropped the ball three out of the past four quarters and the stock price has been punished

PatPat Liu 的头像

PatPat Liu1 年前

@lmoroney Sofa

Jack@DN.com 的头像

[email protected]1 年前

@lmoroney domain name, do you like?

Alethuros Kosmarche 的头像

Alethuros Kosmarche1 年前

@lmoroney ..." Ways to say, "When you only have a hammer everything looks like a nail". Thanks for the reminder Andy. 😂 🙄

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New course to bring you up to state-of-the-art at using AI to help you code: Build Apps with Windsurf's AI Coding Agents, built in partnership with WIndsurf (Codeium) and taught by Anshul Ramachandran! AI-assisted IDEs (Integrated Development Environments) make developers’ workflows faster, more efficient, and much more fun. Agentic tools like Windsurf are more than just code autocomplete—they are collaborative coding agents that help you break down complex applications, iterate efficiently, and generate code that spans multiple files. Although a lot of coding assistants share the same underlying large language models for planning and reasoning, a major point of distinction is how they handle tools, keep track of context, and stay aligned with your intent as a developer. For instance, if you make modifications to a class definition in your code and make the same modifications to other classes in the same directory, you might tell the AI agent "Do the same thing in similar places in this directory." Here, tracking your intent means understanding that “the same thing" refers to that recent edit you just made, which must be followed by appropriate search and tool-calling to implement the changes. In this course, you'll learn the inner workings of coding agents, their strengths and limitations, and how to use Windsurf to quickly build several applications. In detail, you'll: - Build a mental model of how agents work by combining human-action tracking, tool integration, and context awareness to carry out an agentic coding workflow. - Learn the challenges of code search and discovery and how a multi-step retrieval approach helps coding agents address them. - Use Windsurf to analyze and understand a large, old codebase and update it to the latest versions of the frameworks and packages it uses. - Build a Wikipedia data analysis app that retrieves, parses, and analyzes word frequencies. - Enhance the performance of your Wikipedia analysis app by adding caching, and through this, also learn how to course-correct when the AI agent produces unexpected results. - Learn tips and tricks such as keyboard shortcuts, autocomplete, and @ mentions to quickly call on agentic capabilities. - Use image/multimodal capabilities of the AI agent to increase your development velocity; you'll see an example of uploading a mockup with sketched-out UI features, and ask the agent to use that to build new functionality to an app. By the end of this course, you’ll understand agentic coding in-depth and know how to use it to make your development process much faster, more efficient, and enjoyable. Please sign up here!

Andrew Ng

139,826 次观看 • 1 年前

AI coding agents aren't just about autocorrect, but how do you get the best coding experience with an AI-powered coding agent? In our new short course, Build Apps with Windsurf’s AI Coding Agents, you'll learn how to build, debug, and deploy applications with agentic AI-powered integrated development environment (IDE). AI coding agents, like Codeium's @windsurf, don’t just suggest code, they analyze your codebase, track changes, retrieve relevant information, and apply updates across multiple files. They can help debug, refactor, and even modernize legacy frameworks. But to use them effectively, you need the right approach. This new course shows you how to: 🛠️ Use AI agents to build and refine applications, like a Wikipedia analysis app. 🐞 Debug and refactor JavaScript with AI-assisted automation. 🔍 Understand how search and retrieval power AI coding agents. 🤖 Guide an AI agent effectively—prompting, iterating, and correcting when needed. Taught by Anshul Ramachandran (Anshul Ramachandran), this course gives you hands-on coding experience, insights into how these AI systems work under the hood, and best practices to improve your development workflow. 🔗 Enroll for free:

AI coding agents aren't just about autocorrect, but how do you get the best coding experience with an AI-powered coding agent? In our new short course, Build Apps with Windsurf’s AI Coding Agents, you'll learn how to build, debug, and deploy applications with agentic AI-powered integrated development environment (IDE). AI coding agents, like Codeium's @windsurf, don’t just suggest code, they analyze your codebase, track changes, retrieve relevant information, and apply updates across multiple files. They can help debug, refactor, and even modernize legacy frameworks. But to use them effectively, you need the right approach. This new course shows you how to: 🛠️ Use AI agents to build and refine applications, like a Wikipedia analysis app. 🐞 Debug and refactor JavaScript with AI-assisted automation. 🔍 Understand how search and retrieval power AI coding agents. 🤖 Guide an AI agent effectively—prompting, iterating, and correcting when needed. Taught by Anshul Ramachandran (Anshul Ramachandran), this course gives you hands-on coding experience, insights into how these AI systems work under the hood, and best practices to improve your development workflow. 🔗 Enroll for free:

DeepLearning.AI

23,255 次观看 • 1 年前

Everyone and their mom is using claude code, so how do you stand out? Well, you learn how to use claude code like a senior software engineer. John Lindquist (AI DX Vercel) joins this week at How I AI to walk us through his flows, hooks, and tools that supercharge his cc instance. You'll learn how to - use mermaid diagrams for context - alias your favorite AI commands - write hooks for code quality We also debate TUI vs IDE, discuss esoteric file formats, and build a couple things live. Whether you're an advanced user or CC or wanting to get there, this is the ep for you. ty ty ty to our awesome sponsors 💼 WorkOS- Make your app enterprise-ready today 🔀 Tines - start building intelligent workflows today Watch it here:

Everyone and their mom is using claude code, so how do you stand out? Well, you learn how to use claude code like a senior software engineer. John Lindquist (AI DX Vercel) joins this week at How I AI to walk us through his flows, hooks, and tools that supercharge his cc instance. You'll learn how to - use mermaid diagrams for context - alias your favorite AI commands - write hooks for code quality We also debate TUI vs IDE, discuss esoteric file formats, and build a couple things live. Whether you're an advanced user or CC or wanting to get there, this is the ep for you. ty ty ty to our awesome sponsors 💼 WorkOS- Make your app enterprise-ready today 🔀 Tines - start building intelligent workflows today Watch it here:

claire vo 🖤

26,050 次观看 • 5 个月前

You can easily make an extra $3,000–$5,000/month by selling digital information. With AI, you can do this completely automatically from ideation to content creation to the design of the course itself, using Grok, HeyGen, and Gamma. Here's how you do it: ⤵️ --- Go to Grok and create the course outline and scripts. Simply say, "Hey Grok, I want to create a course about [topic X]. Please create an outline and script for me" and let it do its thing. This gives you the foundation for your entire course without spending hours on research and planning. --- Next, go to HeyGen and create the video using their avatars. Using HeyGen, you can easily create videos for your course using an AI avatar. No need to hire actors or even show your face on camera. The AI handles all the video production while you focus on the bigger picture. --- Then go to Gamma and create a website for your course. Using you can host your course on a domain for free. You can also design it in less than a minute by using a single prompt. Just insert the outline that Grok generated and let it create a beautiful design for you. --- Finally, add the HeyGen videos to the Gamma website. And just like that, you have a course that includes educational information as well as video content that people can consume. Add a paywall behind it and start monetizing it. --- Safe to say that AI is transforming our productivity, and if you're not catching up, you're falling behind. Make sure to save this post and start monetizing by creating digital content.

Mushfiq Sajib

22,621 次观看 • 1 年前

Some personal hot takes from AI: engineer Miami follows... 1. Software development is a dead-end profession because anyone can be a software developer now. 2. Anyone can use Cursor or any other tool and generate code. Being a coder and being a software engineer are different. 3. Computers used to be gated; now everyone has the power to make computers malleable. Everyone is a software developer now, but that does not mean they are software engineers 4. If you cannot demonstrate how a coding agent works, you are just a consumer and have imposed an artificial glass ceiling on your career as a software engineer. 5. If you are curious, you will have a job. If you have not been curious in the last two years, you are replaceable. 6. SaaS per-seat economics may become unstable as customers need fewer people to achieve results, prompting founders to think about new unit economics 7. Most companies will take two or three years (or more!) to figure out AI transformation. 8. Some companies are already building AI native teams of five to ten people who can build with the grain of AI 9. There will be an explosion in the number of software developers. Software development is now essentially free, and tokens are cheaper than humans 10. Not enough engineers know what it means to be a product engineer 11. JIRA ticket monkeys are cooked 12. If your company has banned AI, you should quit that company 13. AI is more like a musical instrument than just a tool play with it, make discoveries, build intuition learn where AI is good and where it fails

Some personal hot takes from AI: engineer Miami follows... 1. Software development is a dead-end profession because anyone can be a software developer now. 2. Anyone can use Cursor or any other tool and generate code. Being a coder and being a software engineer are different. 3. Computers used to be gated; now everyone has the power to make computers malleable. Everyone is a software developer now, but that does not mean they are software engineers 4. If you cannot demonstrate how a coding agent works, you are just a consumer and have imposed an artificial glass ceiling on your career as a software engineer. 5. If you are curious, you will have a job. If you have not been curious in the last two years, you are replaceable. 6. SaaS per-seat economics may become unstable as customers need fewer people to achieve results, prompting founders to think about new unit economics 7. Most companies will take two or three years (or more!) to figure out AI transformation. 8. Some companies are already building AI native teams of five to ten people who can build with the grain of AI 9. There will be an explosion in the number of software developers. Software development is now essentially free, and tokens are cheaper than humans 10. Not enough engineers know what it means to be a product engineer 11. JIRA ticket monkeys are cooked 12. If your company has banned AI, you should quit that company 13. AI is more like a musical instrument than just a tool play with it, make discoveries, build intuition learn where AI is good and where it fails

geoff

55,887 次观看 • 25 天前