Bolt.DIY + Deepseek-R1: Develop a Full-stack App For FREE Without Writing ANY Code! (OPENSOURCE)

🔥 *Beta Test My AI-Powered App* – Sign up here: https://forms.gle/tZ3mFxHEScktUwfq8 🔗 *Exclusive Access to the Applied AI Community* – Join the waitlist here: https://kickofflabs.com/waitlist/f795d9da # Description In this video, I’ll show you how to create a fully local development environment for coding with LLMs—just like ChatGPT, but running on your own machine! 🖥️ No internet required, complete privacy, and the flexibility to use OpenAI, DeepSeek, or even fully offline models via Ollama. 🔹 What You’ll Learn: ✔️ How to set up Bolt DIY for local AI development ✔️ Installing dependencies with Docker for an isolated environment ✔️ Using OpenAI & DeepSeek API keys securely ✔️ Running Ollama to keep everything offline ✔️ Understanding token usage & pricing for AI models 💡 Whether you're a developer looking for more control or just want to avoid sending your data to OpenAI, this tutorial is for you! Follow the guide: http://lukejbyrne.com/c/bolt-deepseek # Courses & Certificates 🏆 To continually upskill without the hassle of scrolling through YouTube, when wanting structured learning for Data and AI, I use DataCamp. Specifically, Premium - which gives you unlimited learning across all tracks with certificates at the end. Here are the courses I recommend. 👇 Check them out for free 👇 ## Artificial Intelligence 🤖 AI Fundamentals 👉 https://datacamp.pxf.io/vPZqkv 🏅 AI Leadership 👉 https://datacamp.pxf.io/Vx63kO 📊 AI Business Fundamentals 👉 https://datacamp.pxf.io/YRy3PP 🕹️ ChatGPT Fundamentals 👉 https://datacamp.pxf.io/MAN3zq 💬 OpenAI Fundamentals 👉 https://datacamp.pxf.io/aOWQoR ## AI Engineering 🧑‍💻 AI Engineer Career Track 👉 https://datacamp.pxf.io/zx29Gr ⚙️ Machine Learning Engineer Career Track 👉 https://datacamp.pxf.io/nX2JxA 👾 Developing AI Applications 👉 https://datacamp.pxf.io/dO7jgj 🧠 Deep Learning in Python 👉 https://datacamp.pxf.io/Qj63Lo 🗣️ Developing Large Language Models 👉 https://datacamp.pxf.io/PO6NEe 🦜 Developing Applications with LangChain 👉 https://datacamp.pxf.io/Bn2o3y ## Data Engineer 🌍 Understanding Data Engineering 👉 https://datacamp.pxf.io/JKq0ZE 🏅 Database Design 👉 https://datacamp.pxf.io/Xm1AEg 📊 Data Warehousing Concepts 👉 https://datacamp.pxf.io/WyYaPX ⚡ Introduction to dbt 👉 https://datacamp.pxf.io/09Y7BJ 🕹️ Introduction to Apache Airflow in Python 👉 https://datacamp.pxf.io/nXn3eX 📈 Introduction to NoSQL 👉 https://datacamp.pxf.io/6yG9RG ## Cloud Engineer 🌤️ Understanding Cloud Computing 👉 https://datacamp.pxf.io/LKDqYY 1️⃣ Understanding Microsoft Azure 👉 https://datacamp.pxf.io/mOn3k1 2️⃣ AWS Concepts 👉 https://datacamp.pxf.io/7abrBQ 📊 Microsoft Azure Architecture and Services 👉 https://datacamp.pxf.io/MAQxYo ⚙️ Microsoft Azure Management and Governance 👉 https://datacamp.pxf.io/YRdGkj 🧩 AWS Cloud Technology and Services Concepts 👉 https://datacamp.pxf.io/4GdDBo # Social Media 📧 Newsletter: https://lukejbyrne.com/subscribe 📚 Linkedin: https://linkedin.com/in/lukejbyrne # Timestamps: 0:00 - Intro: Why Run LLMs Locally? 0:42 - Introducing Bolt DIY: Local AI Development 2:50 - Setting Up Bolt (VS Code + Docker) 8:00 - Starting the Bolt Environment with Docker Compose 9:30 - Connecting to OpenAI & DeepSeek APIs 11:00 - Testing an AI-Powered Tic-Tac-Toe App 14:30 - Run Local LLMs with Ollama 18:30 - Token Costs & Pricing Considerations 19:15 - Final Thoughts & Best Setup for You Some links included are affiliate links, which help me keep this channel going. Thanks for the support. Business inquiries: [email protected]