AI Builders Bootcamp

This is not about theories and abstract ideas. Rather, the guiding learning principle is to learn by building.

Over 6 weeks, I will teach the essentials of AI through practical examples, from simple report automation to fine-tuning LLMs for unique use cases. Each weekly session will consist of hands-on examples (with code) that you can adapt to your projects and use cases.

Learning Through Building

What you’ll get…

✅ Weekly 2-hr lectures (live)

✅ Lifetime access to lecture recordings and code examples

✅ Exclusive learner community

✅ Direct support from instructor via direct message

✅ 14-day guarantee: if the course doesn’t meet your expectations, you can drop out for a full refund.

Syllabus

    • Course Expectations (philosophy, technology, and syllabus)

    • What is AI?

    • Introduction to Python for AI

    • Example 1: Your 1st Python automation

    • Example 2: Automated report builder and emailer

    • What is machine learning?

    • 3 types of ML: classification, regression, clustering.

    • Data Engineering

    • Example 1: Your 1st ETL pipeline

    • Example 2: Training your 1st ML model

    • Software 3.0 and GenAI

    • Foundation models: LLMs & multi-modal models

    • Prompt Engineering

    • Using APIs with Python

    • Example 1: Your first AI chatbot

    • Example 2: Structuring unstructured data with GPT-4o

    • What are embedding models?

    • What is RAG?

    • AI Chatbots vs AI Assistants

    • Example 1: Training a classifier with embeddings

    • Example 2: Your 1st RAG system

    • What is model fine-tuning?

    • When to fine-tune

    • Fine-tuning vs RAG

    • Example 1: Fine-tuning the style of an LLM

    • Example 2: Fine-tuning for tool use

    • 5-step AI Project Management Framework

    • Step 1: Formulating business problems

    • Step 2: Data Engineering

    • Step 3: Development

    • Step 4: Deployment

    • Step 5: Retrospective

    • Case study: Building and deploying a semantic search tool

Meet Your Instructor 👋

Dr. Shaw Talebi is an ex-Toyota data scientist and educator.

He earned his PhD from the University of Texas at Dallas, where his research focused on novel AI applications to fields spanning neuroscience, environmental science, and human performance.

Driven by a passion for learning and a mission to make AI accessible to all, he founded a YouTube channel and technical blog that now inspire over 50,000 learners.