AI Agents Email Crash-Course
Join our cohort to build a complete AI agent from data ingestion to deployment. Complete the project + review three submissions to receive a certificate signed by me.
Cohort Now Open
This time it runs as a cohort: complete the project + review three submissions, and you'll receive a certificate signed by me.
Cohort Timeline
Join our cohort for focused learning with peers
Peer Review Process
Review 3 fellow participants' projects and get feedback on yours
Verifiable Signed Certificate
Get a signed, verifiable certificate with unique ID - accessible by anyone with the link
7-Day Curriculum
Complete structured learning path from data ingestion to deployment
Certificate of Completion
This certifies that
has successfully completed the
What Makes This Certificate Special
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 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
Join our cohort to build an AI assistant that understands your GitHub project. Through step-by-step lessons and peer collaboration, you'll implement data ingestion, search capabilities, and intelligent reasoning to create a working AI agent.
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
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
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
Day 4: Agents and Tools
Add reasoning and function calling for intelligent responses
- •Use OpenAI API for function calling
- •Define tools for the agent
- •Build agents with Pydantic AI
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 agents
Day 6: Publish Your Agent
Deploy the application with accessibility in mind
- •Create UI for your agent with Streamlit
- •Publish it on the Internet
Day 7: Share Results & Peer Review
Create portfolio content, review peers' projects, and receive your certificate
- •Write a project README
- •Create demo videos and screenshots
- •Review three fellow participants' projects
- •Add to your portfolio with technical details
- •Share progress on social media
- •Receive your signed certificate of completion
Meet Your Instructor
Alexey Grigorev
Principal Data Scientist | Book Author | Instructor to 100k+ Students
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.
Certificate of Completion
Upon successfully completing all 7 days of the course, you'll receive a professional certificate to validate your AI development skills.
Your AI Agent Will Be Able To
Build a complete AI agent that deeply understands your codebase and can help with real development tasks.
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
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.
7-Day AI Agents Email Crash-Course
Build your first AI agent - Learn core concepts - Create portfolio project
You are hereAI Bootcamp: From RAG to Agents
Advanced systems - Production deployment - Enterprise solutions
View Details and EnrollEmail 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.
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