Stop Reading, Start Building:Build Working AI Systems
Cut through the AI hype and abstract theory. The "Get Things Done with AI" bootcamp transforms beginners into capable engineers with hands-on projects like building chatbots, RAGs, and agentic workflows. Learn effective LLM evaluation and master tools like PyTorch, LangChain, and Ollama to build real AI solutions.
Why This Bootcamp?
Ready to build AI that actually delivers value? We'll cover essential theory and dive into building functional, real-world systems. Master the full process: from Python/math foundations and MLOps essentials (DVC, MLflow) to creating chatbots, AI agents, and RAGs. Learn vital tools like LangChain, LangGraph, and Ollama (run local AI). Gain practical, job-ready skills and deploy working projects in weeks, not years. This is your path to becoming an AI Engineer who can truly Get Things Done with AI.
Industry-Focused Learning
Move beyond theory. Build the kind of AI systems used to solve real-world challenges at leading companies.
Expert-Led Training
Get guidance and insights from expert who have actually built and deployed large-scale AI systems.
Self-Paced & Live Sessions
50+ hours of practical, hands-on content and exercises at your own speed. Solidify your learning with optional live Q&A and deep-dive sessions throughout the year.
Community Driven
You're not alone! Connect with hundreds of fellow AI engineers. Share project challenges, get unstuck faster, and build your professional network in the community.
Trusted by Engineers from Top Companies
Join a growing network of over 500+ students who have leveraged this bootcamp to advance their careers in AI Engineering
What Will You Learn?
Gain Production-Ready AI Skills in Just Weeks
- •Build end-to-end AI systems with hands-on projects that tackle real-world problems
- •Master production-grade ML pipelines, from data processing to monitoring deployed models
- •Develop practical expertise in LLMs, generative AI, RAG systems, and autonomous agents
- •Effectively evaluate, choose, and utilize LLMs (both local & API-based) for your specific needs.
Meet Your Instructor
Venelin Valkov
Machine Learning Engineer
For over a decade, I've been building and deploying ML/AI systems that serve millions. I work daily with the latest tools (like PyTorch, LangChain, LangGraph, and Ollama) and cutting-edge models, focusing on what actually works in practice. I'm excited to share that real-world experience and guide you through building powerful AI applications.
The great Bulgarian artist once said: "Тактиката знай се, отдай се на практиката". This roughly translates to "The tactics are well known, dedicate yourself to practice". My goal is to empower developers with the practical skills and knowledge they need to build production-ready AI systems. Theory is important, but real-world application is where true learning happens.
Frequently Asked Questions
Solid Python programming experience is essential. Familiarity with basic command-line operations and Git is highly recommended. While foundational math/ML concepts are covered, prior exposure is helpful but not strictly required if you're willing to learn. The most important prerequisite is a desire to build and apply concepts hands-on.
Expect to dedicate 5-10 hours per week to effectively absorb the material and complete the hands-on projects. This includes watching videos, reading, coding, and potentially participating in community discussions or live sessions. The self-paced nature allows flexibility.
University courses often focus heavily on theory. Other online programs might teach isolated skills. This bootcamp uniquely emphasizes practical application and end-to-end system building. You'll learn the theory through building concrete projects like chatbots and agentic workflows, integrating tools like LangChain, DVC, MLflow, and Ollama for a job-ready skillset focused on getting things done.
While completing this bootcamp don't guarantee job placement, it equips you with the practical skills and portfolio projects employers seek. You'll gain hands-on experience in building full ML pipelines, evaluating LLMs, developing RAG and agent systems, and using industry-standard tools - preparing you to confidently tackle real-world AI engineering challenges and demonstrate your capabilities.
The price is $99/year for a PRO membership. This gives you access to all bootcamp content (and all updates), including lectures, source code repositories, and live sessions with me (4+ times a year). You can cancel your subscription at any time to stop future charges.
We do not offer refunds after purchase under any circumstance. However, you can cancel your subscription at any time to stop future charges. We strongly recommend trying our free content before becoming a PRO member to ensure the program meets your expectations.
The AI field moves incredibly fast! The content is kept relevant and updates reflecting major shifts in tools, techniques, and best practices are incorporated regularly. Expect periodic updates and potential major revisions annually to ensure you're learning current skills.
Still have questions? Reach out directly: venelin@mlexpert.io