Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Engineering

Machine Learning

LLM Ops

Context Eng

Security

System Design

Design

Figma

Design Systems

Visual Design

Design Strategy

Marketing

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Founders

Fundraising

More

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Create your own production-ready AI application in 6 weeks

Teaching AI and Data to 100k+ students 

DataTalksClub

Manning Publications

OLX Group

Alexey Grigorev 

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

Cohort 2

Cohort 3

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

For Engineers

For Data Scientists

Bootcamp

Artificial Intelligence

RAG

Cohort-based courses

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