Alexey Grigorev

Cohort 1

Cohort 2

Cohort 3

Create a coding agent that scaffolds and edits a Django app from a single prompt. It's for developers who want a practical, minimal path from “chatbot” to “agent,” without heavy frameworks. What’s inside <ul><li>A working app generated by your agent</li><li>Function Calling: turn a chatbot into an agent</li><li>Tools for file I/O, search, and code exec</li><li>Ready-to-clone Django template + Make/UV setup</li><li>Full code snippets</li></ul> Build a Lovable.dev/Bolt.new agent in an afternoon. No prior agents experience needed.

Build Your Own Coding Agent (Free Guide)

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 

Machine learning researcher

Data Scientist

Assistant Lecturer

IT Consultant

Senior Data Scientist

AI Engineer

Software Development Manager

Principal Data Scientist, Applied AI

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

AI Engineering Buildcamp Demo Day Cohort 2

Principal Data Scientist | Book Author | Instructor to 100k+ Students World-Wide

Go beyond basic chatbots. Witness how students have combined RAG with Agentic workflows.

See Agentic Systems in Action

From coding assistants to deep research agents, explore a diverse portfolio of capstone projects.

Discover Real-World AI Implementations

These aren't just toy prototypes. Learn how students tested, evaluated and monitored their agents.

Understand the "Engineering" Behind AI

AI Engineering Take-Home Assignments

Analyze very recent submissions and tasks from Q4 2025 and Q1 2026 to understand current AI hiring standards.

Home Assignments Analysis

Break down multiple real-world assignment prompts to discuss the most effective architectural approaches and trade-offs.

Implementation Discussion

Build a complete solution for a document-instruction task, focusing on high-accuracy PDF parsing and data extraction.

End-to-End Document Implementation

AI Engineering: The Interview Process

Identify current hiring trends and frequently asked questions based on crowdsourced candidate experiences and research.

Analyze Real-World Interview Data

Learn how to articulate complex AI concepts and defend technical decisions regarding model selection and architecture.

Master Technical and Conceptual Questions

Apply your skills in real-time by writing clean, efficient code for common AI-specific technical interview tasks.

Solve Live Coding Challenges

Defining the AI Engineer Role

Understand core expectations by analyzing trends from 1500+ current job descriptions and industry research.

Identify Real-World Job Requirements

Learn to differentiate between research-based AI roles and the product-focused engineering skills needed today.

Distinguish Technical Skill Sets

Apply theoretical concepts through a live demo of the typical daily tasks and technical handoffs in the role.

Execute an AI Engineering Workflow

A Day of AI Engineer

Understand the core responsibilities and how this position bridges the gap between software engineering and ML research.

Define the AI Engineers Role

Learn how AI Engineers work with others on the team.

Collaborate with others

How traditional processes apply to the new AI Engineering role and how things like CRISP-DM can help us.

Processes

Skills.md from Scratch: Build a Skill-Driven Coding Agent

Learn how skills.md is structured and why metadata-first, progressive loading enables scalable, agent-friendly skills.

Understand the Skills.md Model

Build a registry that scans folders, parses metadata, indexes skills, and loads full instructions on demand.

Implement a Skill Registry System

Integrate skill selection and injection into an agent loop to solve real coding tasks using reusable skills.

Learn directly from Alexey Grigorev

Alexey Grigorev

Courses

AI Engineering Buildcamp: From RAG to Agents

Lightning Lessons

AI Engineering Buildcamp Demo Day Cohort 2

AI Engineering Take-Home Assignments

AI Engineering: The Interview Process

Defining the AI Engineer Role

A Day of AI Engineer

Skills.md from Scratch: Build a Skill-Driven Coding Agent

Resources

Build Your Own Coding Agent (Free Guide)