Alexey Grigorev

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Engineers and engineering leaders who build, deploy, and scale software systems.

Data scientists who apply statistical and ML techniques to extract insights from data.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Building retrieval-augmented generation and search systems — vector databases, embeddings, ranking, and retrieval pipelines.

Create your own production-ready AI application in 6 weeks

Teaching AI and Data to 100k+ students 

Alexey Grigorev 

15 years of experience. Teaching AI and Data to 100k+ students

AI Engineering Buildcamp: From RAG to Agents

Data Scientist

Data scientist

Software developer

Software Engineer

Electronic Engineer

Senior Coach | Data Science & Machine Learning Engineering |

AI Engineer 

Data Engineer

DataTalksClub

Manning Publications

OLX Group

This course takes you from core concepts to production-grade AI systems through hands-on, project-focused modules.<ol><li>LLMs &amp; RAG Learn Large Language Models and Retrieval-Augmented Generation. Build conversational agents using the OpenAI SDK and create data-processing pipelines. Outcome: A RAG pipeline with real data.</li><li>Agentic Flows + MCP Add agentic behavior with function calling, using libraries like PydanticAI, and Agents SDK. Expose tools via MCP. Outcome: A capable, tool-using agents.</li><li>Testing &amp; Evaluation Improve through testing and offline evaluation. Use LLMs as judges to compare approaches. Learn tools like Evidently and LangWatch. Outcome: A thoroughly tested and evaluated assistant.</li><li>Monitoring &amp; Guardrails Use Grafana, Pydantic Logfire and OpenTelemetry for observability and safety. Outcome: Real-time monitoring.</li><li>Use Cases Create two agents: a website generator and a code reviewer. Learn about other use cases.</li><li>Capstone Build an end-to-end AI application with your data. Outcome: A portfolio-ready project.</li></ol>Hackathon: Collaborate on real-world problems.By the end, you will: build, evaluate and monitor a smart assistant; create deep research and coding agents; have a polished portfolio project

Build your own Agentic AI Assistant

🛠️ Build a Fully Functional AI Assistant from Scratch

🤖 Add Agentic Behavior to Your AI Systems

🔧 Use Testing and Evaluation to Improve Prompts and Results

📈 Monitor Your Application 

🔧 Build 8+ Projects 

🎓 Ship a Capstone AI Project — Start to Finish

Coding

We will rely on these tools when building the assistant

Python, Git, Docker, command line

We will use OpenAI for building the AI agent

OpenAI key or alternative

Data Scientists and ML Engineers proficient at coding who want to integrate AI into their projects

Software Engineers curious about LLMs who want to build AI applications

AI Enthusiasts who are stuck at the tutorial phase and want to create something end-to-end

Learn directly from Alexey Grigorev

Alexey Grigorev

Courses

AI Engineering Buildcamp: From RAG to Agents

Lightning Lessons

Ship Production Code 2x Faster With AI

Build and Deploy a Website using AI with Next.js and V0

AI Engineering Buildcamp Demo Day Cohort 3

AI Engineering Buildcamp Demo Day Cohort 2

AI Engineering Take-Home Assignments

AI Engineering: The Interview Process

Resources

Build Your Own Coding Agent (Free Guide)