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Towards AI

Towards AI

Technology, Information and Internet

Wilmington, Delaware 269,624 followers

Making AI accessible to 100K+ learners. Self-paced, practical courses to master building or using AI for real work.

About us

Making AI accessible to all with our courses, blogs, tutorials, books & community. Since 2019 we have helped teach over 400k about AI. Now we also help corporate teams get started using or building with the latest AI tools and models.

Website
https://academy.towardsai.net/
Industry
Technology, Information and Internet
Company size
51-200 employees
Headquarters
Wilmington, Delaware
Type
Privately Held
Founded
2019
Specialties
artificial intelligence, machine learning, deep learning, data science, natural language processing, computer vision, research, computer science, statistics, machine intelligence, machine translation, algorithms, data mining, distributed systems, parallel computing, information retrieval and the web, data engineering, speech processing, applied science, optimization, cloud ai, network infrastructure, perception and security, privacy and abuse, robotics, human computer interaction, science, technology, engineering, future, and news

Locations

  • Primary

    2810 N Church St

    PMB 99625

    Wilmington, Delaware 19802, US

    Get directions

Employees at Towards AI

Updates

  • View organization page for Towards AI

    269,624 followers

    Today we are launching the most comprehensive and practical LLM Developer course out there! In ~90 lessons we teach the full set of skills needed to build great products on top of foundation LLMs. From choosing a suitable LLM application to collecting data, iterating on many advanced techniques (RAG, fine-tuning, agents, audio, caching), integrating industry expertise and deploying. You will finish the course with a working product and what we hope will become the gold standard certification for LLM Developers. $100bn+ is now being spent each year on chips for these models but we think many millions of LLM Developers will be needed to build the customised reliable products that are needed to drive widescale enterprise adoption of the technology. https://lnkd.in/e-YGZzER

    View profile for Louis-François Bouchard

    Making AI accessible. 🎥 What's AI on YouTube. Co-founder at Towards AI. ex-PhD Student.

    I am super excited to finally announce that we ( Towards AI ) released our first independent industry-focussed course: From Beginner to Advanced LLM Developer. Put a dozen experts (frustrated ex-PhDs, graduates and industry) and a year of dedicated work, and you get the most practical and in-depth LLM Developer course out there (~90 lessons). It is a one-stop conversion for software developers, machine learning engineers, data scientists, aspiring founders or AI/Computer Science students. We think many millions of LLM Developers will be needed to build reliable customised products on top of foundation LLMs and achieve mass GenAI adoption at companies. We want to help you lead this new field! One of the reasons I quit my PhD in AI (one year + 8 days ago) was to build practical solutions that will help others in the real world and improve what exists. Along with our book, this course is our attempt to achieve this goal. While I love academia, when I first stepped into a startup in 2019, I knew nothing all over again. I needed to understand the problems in the real-world application of AI and build solutions for it. Not just research but real models, products, and people using them. But here’s the thing: grasping these challenges is merely the first step. For the ‘how’ part of it, you need to get into the code, the architecture, the models, the APIs, the deployments, the trials and errors, and the complex and wide varieties of frameworks - you don’t have time to reinvent the wheel in a startup! This discrepancy between academia and the industry is even worse in the LLM era. So we’ve gathered everything we worked on building products and AI systems and put them into one super practical industry-focused course. Right now, this means working with Python, OpenAI, Llama 3, Gemini, Perplexity, LlamaIndex, Gradio, and many other amazing tools (we are unaffiliated and will introduce all the best LLM tool options). It also means learning many new non-technical skills and habits unique to the world of LLMs. The only skill required for the course is some Python (or basic programming) knowledge. We cover the full stack of learning to build on top of foundation LLMs - from choosing a suitable LLM application to collecting data, iterating on many advanced techniques (RAG, fine-tuning, agents, audio, caching), integrating industry expertise and deploying. Our students will create a working product, which we certify, and we also provide instructor support in our dedicated Discord channel. This could become the seed of a startup, a new tool at your company or a portfolio project for your LLM job applications. You can find all the lesson titles and more information on the course page linked below (or comment/DM your questions!). “From Beginner to Advanced LLM Developer” is now available on the Towards AI Academy: https://lnkd.in/dQS3Gzkn #llms #llm #llmdeveloper #llmops

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  • What happened in #AI? This week, AI models continued to push the frontiers of capability, with both OpenAI and Google DeepMind achieving gold-medal-level results at the 2025 ICPC World Finals coding contest. The scale of capital investment and ambition was also clear, with NVIDIA announcing a letter of intent to invest up to $100 billion in OpenAI, alongside a 10 GW GPU purchase agreement. Also in the news: xAI for Grok-4-Fast, Alibaba's Qwen team for Qwen3-Next-80B-A3B models and Tongyi-DeepResearch-30B-A3B, IBM for Granite-Docling-258M,  Google for Agent Payments Protocol, and more! Get a complete update on all AI developments in this week's issue 👇

  • This isn't a sci-fi movie, this is happening right now. 🤯 When I saw the news that a major bank is replacing 4,000 jobs with AI, it hit hard. The reality is, for many companies, it's just a numbers game. Instead of waiting to be replaced, I'm choosing to be on the side that builds. The future of work is changing, and the biggest risk is doing nothing. Are you ready to adapt? Start learning now: https://lnkd.in/e_tJCwwY

  • According to Anthropic's CEO, Claude is already writing 90% of the code. How long do you think AI can fully replace developers? Or never?

  • View organization page for Towards AI

    269,624 followers

    🚀 Agents are powerful, but not every use case needs a full agent. DecodingML just dropped Lesson 3 of the free course, Designing Enterprise MCP Systems by Anca Ioana Muscalagiu. This one is about choosing the right structure, workflow vs agents vs hybrids, so your builds stay fast, testable, and sane. what you will learn: ✅ When a simple workflow beats a complex agent. ✅ Where to add reasoning only when ambiguity exists. ✅ Five patterns in action, ReAct, Self-Reflective, Network of agents(Swarm), Supervisor, Hybrid. ✅ A PR Reviewer example balancing latency, cost, and maintainability. If you are shipping real LLM automations, this is gold. 👉 Read Lesson 3 here: https://lnkd.in/ekbkZrZw

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  • We are grateful for this deep review of Towards AI Academy by javinpaul. It calls out what our learners value most: clear paths, production-ready LLM content, and frequent 2025-ready updates, including new agent patterns, stronger evaluations, and refreshed real-world case studies. We will keep pushing on hands-on projects you can ship, stronger evaluation templates for reliability, and more enterprise examples to help more learners! Check out his article here: https://lnkd.in/eVewKDsU

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  • View organization page for Towards AI

    269,624 followers

    🚀 Old agent demos are fun… but they don’t scale. DecodingML(Paul Iusztin) just dropped Lesson 2 of their free open-source course: Designing Enterprise MCP Systems. This time, it’s about how to build like a real engineer. Here’s what they cover: ✅ A PR Reviewer Assistant that connects GitHub → Asana → Slack with clean MCP orchestration. ✅ How to split workflows into host, client, and servers so your automations stay modular. ✅ Using a Global MCP Server to unify tools—swap or add integrations without breaking your host logic. ✅ Building custom servers for Slack + Asana, with prompts versioned and observable via Opik. ✅ End-to-end flow: PR opens → Gemini plans tool calls → review summary lands in Slack. Most agent tutorials stop at “hello world.” This lesson shows how to architect production-ready developer automations that actually survive in enterprise. 👉 Read Lesson 2 here: https://lnkd.in/e9XgBP2U

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