Starts June 12th, 2025
Join 100+ other Data Scientists, PMs, founders and AI engineers for an intense 6-week Project-based Bootcamp!
Daily Live Coding
5 days a week, you’ll join vibe coding sessions where we build full-stack AI apps using TypeScript, the Vercel AI SDK, and more right in front of your eyes!
Applied Approach
Build Real-World Projects, Not Toy Examples You’ll work on real applications that use APIs, vector databases, embeddings, and agent orchestration, not just notebooks.
Engineering-First Mindset
We focus on debugging, testing, and deploying scalable AI systems, not just hacking together prompts. You’ll learn the engineering principles that will make AI work in production.
AI + Product = Career-Ready
LLMs are cool. But product thinking is what gets you hired. You wil learn what matters the most from real founders, technical leaders, and decision makers during the guest speaker sessions.
Certificate
Built by Practitioners
Your instructors aren’t theorists. They’re builders, engineers who’ve launched AI products, partnered with AI startups, and have a vast network of builders.
Community Driven
Build lifelong connections with top Data and AI talent. In our nurturing community, you'll build, share and learn from each others successes and failures.
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As a journalism buff, combining storytelling with tech is my sweet spot, and I’m thrilled to keep exploring this mix. It’s been exciting to dive deep into AI
Entrepreneurs are builders at heart.. I’ve always loved creating things and finding solutions to problems. Throughout this bootcamp, I dove into building agentic workflows and absorbed insights from some of the brightest minds in AI
Trusted by 100+ AI Engineers
5.0
Join 25,000 AI & Data pros at Break Into Data
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Agents + Agentic Workflows
You’ll learn to orchestrate autonomous agents that decompose big tasks, collaborate, and self-verify so your app runs hands-free and reliably.
Model Context Protocol (MCP)
We’ll teach you to design rigorous context-passing protocols that keep models grounded, state-aware, and consistently on-spec across multi-step interactions.
Tool-Calling
Empower models to trigger functions, query APIs, and write back to databases, converting plain language into real-world actions and fresh data.
AI System Design
Architect robust back-end pipelines that link foundation models with internal data sources and 3rd-party services for production-grade performance.
Product Design
You’ll turn advanced AI capabilities into delightful experiences, applying user-centric design so the magic feels simple, clear, and trustworthy.
Evals and Tracing
Build automated evaluation suites and live tracing dashboards that surface errors, measure quality, and drive fast, data-backed iteration.
About the Hosts
Meri Nova
AI / ML educator
Founder at Break Into Data
DataCamp Instructor (RAG course)
Meri Nova is a self-taught AI and ML engineer with 130k followers on LinkedIn and 25k Data & AI professionals in the Break Into Data community. Meri hosted technical and career-related workshops for 11k attendees in 2023, and her course on RAG at DataCamp was completed by 3,000 students who received certificates.
Break Into Data is known for ML coding challenges and career-related workshops that have helped numerous professionals transition into their first jobs in Data, ML, and AI fields. Fun fact: Meri is the oldest sibling out of 12.
Hai Nghiem
Langchain Ambassador
Full Stack Engineer at Colab (YC s19)
Founder at CatswithBats.com
Hai grew the largest AI Developer community in Canada (AI Tinkerers) from 30 to now 680 members.
He advises ML/AI startups, teaches full-stack and AI engineering at a coding bootcamp, and leads workshops for startups at Invest Ottawa on topics like AI agents, RAG (particularly the retrieval component), pg-vector, and web scraping.
He contributes to open-source AI projects and became a Langchain Ambassador in 2024. He authored one of the first popular projects using LLM with web scraping for data extraction in 2023.
Fun fact: Hai majored in Cinema & Economics, and learned to code on the job (his last position was at a YC S'19 startup).
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