7-Day Free Course

AI Agents Email Crash-Course

Build a complete AI agent from data ingestion to deployment based on your GitHub project in just 7 days.

Why You Need This Course

LLMs are smart but they don't know anything about recent developments or private codebases. Learn to solve this by building an AI agent that understands your specific GitHub project.

The Problem: AI can't help with what it doesn't know

The Challenge

Try asking ChatGPT about a framework released in 2025, or something from your private repository. It will fail because it doesn't have access to that information.

Our Solution

Build a simple search engine that can answer questions about any modern framework - directly from its GitHub repository. Make AI work with your specific codebase.

End Result: A portfolio-ready project that showcases your AI development skills, complete with documentation, demos, deployment, and a certificate of completion to validate your expertise.

What We Will Build Together In The Next 7 Days

Learn to build an AI assistant that understands your GitHub project. Through step-by-step lessons, you'll implement data ingestion, search capabilities, and intelligent reasoning to create a working AI agent.

1

Day 1: Ingest and Index Your Data

Extract documentation and code from any GitHub repo

  • Fetch GitHub repository content
  • Extract documentation
  • Prepare data for search
Deliverable: Your project data downloaded and ready to be processed
2

Day 2: Intelligent Processing for Data

Use AI to prepare data for search

  • Cut and chunk your data for better search
  • Split big documents using paragraphs and sections
  • Apply intelligent chunking with AI
Deliverable: Your project data fully processed and ready for search
3

Day 3: Add Search

Implement both lexical and semantic search capabilities

  • Build lexical search for exact matches and keywords
  • Implement semantic search using embeddings
  • Combine them with hybrid search
Deliverable: Working search system you can query about your project
4

Day 4: Agentic Search

Add reasoning and function calling for intelligent responses

  • Implement RAG
  • Defininig tools for the agent
  • Use Pydantic AI
  • Make RAG agentic
Deliverable: Agent that can answer questions about your database.
5

Day 5: Offline Evaluation and Testing

Test, interpret, and improve before deploying

  • Create evaluation datasets for your specific use case
  • Evaluate your search
  • Use AI to evaluate your agenst
Deliverable: Thoroughly tested agent with performance metrics
6

Day 6: Publish Your Agent

Deploy the application with accessibility in mind

  • Create UI for your agent with Streamlit
  • Publish it on the Internet
Deliverable: Live, accessible AI agent available on the web
7

Day 7: Share Results

Create portfolio content and share your journey

  • Write a project README
  • Create demo videos and screenshots
  • Share progress on social media
  • Add to your portfolio with technical details
  • Receive your certificate of completion
  • Get feedback
Deliverable: Portfolio-ready project with social proof, community engagement, and certificate of completion
7 Focused Days
1-2h Daily Time
100% Practical

Meet Your Instructor

Alexey Grigorev - Principal Data Scientist and AI Education Expert

Alexey Grigorev

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

Alexey Grigorev is the founder of DataTalks.Club and the creator of the popular Zoomcamp series. With 15 years of experience in software engineering and over 12 years in machine learning, he has built and deployed large-scale ML systems at companies like OLX Group and Simplaex.

An advocate for practical, hands-on education, Alexey has taught over 100,000 students, focusing on a code-first approach to help learners build real-world skills.

LinkedIn Twitter DataTalks.Club

Certificate of Completion

Upon successfully completing all 7 days of the course, you'll receive a professional certificate to validate your AI development skills.

Certificate of Completion

This certifies that

[Your Name]

has successfully completed the

"7-Day AI Agents Email Crash-Course"
7-Day Practical Course
Alexey Grigorev Course Instructor
[Completion Date]

Your AI Agent Will Be Able To

Build a complete AI agent that deeply understands your codebase and can help with real development tasks.

Portfolio-Ready Project: Showcase modern AI development skills

Read and understand any GitHub repository

Using GitHub API to parse code, docs, issues, and comments with AI-powered chunking

Answer complex questions about your code

Combine lexical search with semantic embeddings using hybrid search and RAG

Take autonomous actions and make decisions

Built with Pydantic AI for function calling and agentic reasoning capabilities

Deploy as web app using Streamlit

Create accessible UI and publish on the internet with modern deployment

Measure and improve performance continuously

AI-powered evaluation systems with custom datasets and automated testing

Handle context and maintain conversation memory

Advanced prompt engineering with OpenAI and alternative LLM integrations

Example Interaction
You: "How does authentication work in this project?"
Agent: "Based on the codebase analysis, this project uses JWT authentication with middleware in auth.js. The login flow starts in LoginController.js and uses bcrypt for password hashing. Here are the key files involved..."

Continue Your AI Development Journey

This free email course provides the foundation for advanced AI agent development. Take the next step with our comprehensive bootcamp program.

1

7-Day AI Agents Email Crash-Course

Build your first AI agent • Learn core concepts • Create portfolio project

You are here

Email Course Graduates Get 15% Off

Complete this free 7-day course and receive a 15% discount on the full AI Bootcamp enrollment. Your promo code will be included in one of the course emails.

Frequently Asked Questions

Click any question to expand the answer.

This course focuses on YOUR actual GitHub project, not generic examples. You'll build something meaningful and portfolio-worthy that showcases your real work. Plus, it's structured as a daily email course that fits into your busy schedule.
Each day for 7 days, you'll receive a focused email with that day's lesson, code examples, and exercises. Each lesson takes 1-2 hours to complete. You work at your own pace, but the daily structure keeps you motivated and progressing.
No problem! We'll help you choose an existing open-source project that interests you, or you can use one of our suggested sample repositories. The key is learning with real code, not toy examples.
Yes, you'll need an OpenAI API key for the hands-on exercises. The total cost for the 7-day course is typically $3-8, depending on your project size. We'll show you how to minimize costs and use free tiers when possible.
Basic Python programming (functions, classes, pip install) and comfort with the command line. If you can clone a GitHub repo and run a Python script, you're ready! We'll guide you through everything else.
Plan for 1-2 hours per day. The lessons are designed to be focused and actionable—no fluff, just practical steps toward building your AI agent. Perfect for busy professionals.
No catch! This course showcases the quality of our teaching and gives you a solid foundation. If you love it and want to go deeper, you can join our comprehensive AI Bootcamp later (with a discount for email course graduates).
The emails are mobile-friendly for reading, but you'll need a computer (Mac, Windows, or Linux) to complete the coding exercises. A standard laptop is perfect—no special hardware required.
A fully functional AI agent that understands your GitHub project, deployed on the web, with documentation and demos. Plus the skills and confidence to build more AI applications on your own.
✅ Questions answered? Let's get started!