ReadyTensor’s Agentic AI Developer Program is hands-on, practical, and designed to push your limits. Participants don’t stop at learning , they keep building,.Here are some standout projects from Module 1, showcasing how participants are applying RAG and multi-agent systems to

At ReadyTensor, we’re building a global stage for AI/ML enthusiasts to share, learn, and grow together. Each week, engineers showcase their ideas and every week, we spotlight standout projects that are pushing boundaries in unique ways. Here are this week’s  Project Spotlights

🎉 Alhmdullillah Excited to share that I have successfully participated in the Agentic AI Innovation Challenge 2025 organized by ReadyTensor! 🌐 This journey, spanning from February 10 to March 31, 2025.project: Github Link:

やっと読み終わった。最後のブループリントはお勉強になるなぁ。. Designing Agentic AI: System Architect's Blueprint for Production Success (AAIDC-Week11-Lesson4) #ReadyTensor #AI.

ReadyTensor is breaking language barriers!!.We’re excited to introduce one of our most inclusive features yet: Translations 🎉.Now, you can publish your work on ReadyTensor in your preferred language, and readers across the world will automatically see it in English (with the

We just made ReadyTensor a lot more interactive. We’re excited to introduce Conversations, a powerful new way to connect, collaborate, and grow with the AI/ML community. 💬 What’s it about?.Conversations are topic-based discussion threads anyone can start. You can ask questions,

Now that we’ve explored several deployment options for your AI projects, it’s important to remember that a software project’s lifecycle doesn’t end at launch. Your live projects must be monitored, observed, and maintained. Welcome to Week 11 of ReadyTensor’s Agentic AI Developer

So far in ReadyTensor’s Agentic AI Developer Program, we’ve explored everything from orchestrating agents to testing their safety and performance. But now comes the big question: What’s next?.Your Agentic AI system isn’t just a project anymore ,  it’s ready for the world. And

ReadyTensor's 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 just crossed 700 registrations across our first two cohorts!. There’s strong and growing interest in learning how to build agentic AI systems and we’re excited to see the community

ReadyTensor’s Agentic AI Developer Certification Program is growing rapidly, with over 1,800 developers from 70+ countries already participating. Now, we’re opening the doors to the community. We’re looking for thoughtful contributors to share articles, tutorials, and technical

Just published my Rule-Based Chatbot on @ReadyTensor! 🤖⚡.Built using #Python, simple #NLP techniques & gTTS for voice responses. Great to see it featured among global AI projects!.#AI #Chatbot #MachineLearning #PythonDev . #ReadyTensor #AI.

ReadyTensor’s Agentic AI developer program grew to 1400+ participants. Over the past 12 weeks, learners have gone from absolute beginners to building multi-agentic systems. They've moved beyond just demos to production-ready systems and acquired the right knowledge on testing and

In ReadyTensor’s Agentic AI Developer Program, there’s a detailed hands-on lesson on building RAG systems, walking you through the full pipeline. Learn Core Concepts. -RAG toolkit. -Memory management and persistence. -Intelligent LLM calls that use real-time,

I'm thrilled to announce that I've been recognized as a Winner of the Distinguished Applied Solution Showcase at the Computer Vision Projects Expo 2024! @ReadyTensor @roboflow @ultralytics

AIのお勉強は下手にG検定とかやるより、ready tensorとかやったほうがいいんじゃないかと思ってる。.

Module 3 of ReadyTensor’s Agentic AI developer program is officially live!. Congratulations to all learners for making it this far, you’ve now reached the final module of the Agentic AI Developer Program. It’s been an intense journey so far, and you’ve shown incredible grit and

Slack BotでBigQueryのベクトル検索を使ったRAGシステムを作った話を #ReadyTensor に載せたら割と良い感じの評価を受けた。. PDFで認定証届いた。✌️

🏆 Achievement Unlocked!.I've earned a badge on Ready Tensor for my AI work! Check it out: #ReadyTensor #AI.

I'm so excited to have been invited to the Agentic AI competition from ReadyTensor for the LangchainJS RAG project I had implemented a few months back. I have written a comprehensive paper giving more details to make this into a full-fledged research paper. Link below: ⬇️