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AI Hero: 7-Day AI Agents Crash-Course

Alexey Grigorev

AI/ML engineer, founder of AI Shipping Labs and DataTalks.Club

ai-agents rag python pydantic-ai evaluation

Build a complete AI agent from data ingestion to deployment. Learn RAG, search, function calling, evaluation, and web deployment — all on YOUR GitHub project.

Syllabus

1 Day 1: Ingest and Index Your Data
Introduction
Set Up Your Workspace and Prepare Repository Data
Understanding Frontmatter
Sample Repositories
Complete Implementation
Learning in Public
Homework
2 Day 2: Chunking and Intelligent Processing for Data
Introduction
Simple Chunking
Splitting by Paragraphs and Sections
Intelligent Chunking with LLM
How to Choose a Chunking Approach
Learning in Public
Homework
3 Day 3: Add Search
Introduction
Text Search
Vector Search
Hybrid Search
Learning in Public
Homework
4 Day 4: Agents and Tools
Introduction
Tools and Agents
Function Calling with OpenAI
System Prompt: Instructions
Pydantic AI
Learning in Public
Homework
5 Day 5: Offline Evaluation and Testing
Introduction
Logging
Adding Citations
LLM as a Judge
Data Generation
Evaluating Functions and Tools
Learning in Public
Homework
6 Day 6: Publish Your Agent
Introduction
Cleaning Up
Streamlit
Deployment
Learning in Public
Homework
7 Day 7: Share Results
Introduction
Project README
Evaluations
Demo
Learning in Public
Homework
8 Certificate & Project Submission
Introduction
Getting a Certificate
Learning in Public

What learners say

"There is no smoother introduction to AI agents than this."
P
Peter Anefu

Developer

"This course helped me understand how to implement a RAG system in Python."
R

Rolando

AI Data Scientist · AeroMexico

"This email driven course is awesome & best to learn things by doing."
L
Livin Vincent

Data Engineer | 4x Microsoft Certified

"Like most DataTalks courses, this one is practical, with a strong focus on data prep, retrieval, and evaluation."
D
Dmitry Doni

Microblink

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