AI Builders Bootcamp

4.8 (34)

·

6 Weeks

·

Cohort-based Course

From confusion to confidence—cut through the AI noise by building practical projects.

This course is popular

4 people enrolled last week.

Trusted by Builders from…

Google
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Amazon Web Services
Salesforce
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Course overview

Build the AI Skills Powering the Next Generation of Businesses.

I remember feeling overwhelmed when I first started learning AI. There was an endless list of buzzwords and tools I thought I had to master—and no clear way to piece them together.


But everything changed when I stopped trying to learn everything and started building something.


Suddenly, AI wasn’t this abstract, confusing field. It became practical, clear, and exciting. Instead of chasing hype or memorizing terms, I focused on the 1–3 essential things I needed to bring a real idea to life. And that’s exactly what we do inside the AI Builders Bootcamp.


Over 6 weeks, you’ll build real-world AI projects using Python, OpenAI, Hugging Face, and more—with direct guidance from me and a community of peers who are just as committed as you are. By the end, you won’t just understand AI—you’ll have the confidence to build real-world projects and bring your product ideas to life.


⭐️ Course Benefits & Outcomes


1) Overwhelmed → clear and confident

Get a structured path that removes the guesswork and shows you exactly what to focus on.

2) Scattered resources → real projects that make AI click

Build practical apps with Python, OpenAI, and Hugging Face—no more jumping between tabs.

3) Boring tutorials → engaging, hands-on learning

Work on real projects with expert guidance and a community that keeps you motivated.

4) “I can’t keep up” → “I know what matters”

Learn the key foundations and patterns behind modern AI systems—so you can adapt as the field evolves.

5) I need AI skills → actually using them

Walk away with the ability and confidence to build AI automations, apps, and MVPs that solve real problems.


📚 What's Included?

• 6 weekly live, hands-on sessions with the instructor

• 10+ example projects with complete, reusable code

• Weekly post-lecture discussions on real-world use cases

• Weekly office hours with a teaching assistant for support

• Access to a private community of fellow AI builders

• Direct feedback on projects from instructor and TA

• (Optional) peer groups for accountability and collaboration


Who should take this course?

This course is designed for technical founders, freelancers, and builders who want to develop custom AI projects. You’ll get the most out of this bootcamp if you have basic coding experience (especially in Python) and a desire to build and ship.


This is a great fit for...


Solo founders building AI-powered products or MVPs

Technical freelancers and consultants offering AI/LLM-based solutions

Entrepreneurs exploring AI tools to automate, enhance, or scale their businesses

Side-project builders who want to turn AI ideas into working prototypes

Tech professionals breaking into GenAI and hands-on LLM development


Who should NOT take this course?

• People seeking mathematical and algorithmic details behind AI development

• People who want to learn LLMOps


🧑‍💻 10+ example projects built in past cohorts...

• Automated report builder and emailer

• AI Job Board Scraper

• Interactive AI Job Dashboard

• ML-based email classifier

• Research paper summarizer

• LLM-based text classifier

• (Local) Document QA Chatbot

• Structuring unstructured survey data

• Semantic search over Blog Posts

• RAG Chatbot with LLM Blog series

• Fine-tuning LLM response style

• Fine-tuning BERT for text classification

Who is this course for

01

Founders 🚀


Learn the AI and ML skills you need to turn product ideas into reality—without relying on a technical cofounder.

02

Tech Freelancers + Consultants 🧑‍💻


Add LLM-powered tools to your toolkit and confidently deliver AI solutions to clients.

03

Entrepreneurs ⚡️


Cut through the AI noise and gain the practical skills to automate, prototype, and launch AI-powered products.

What you’ll get out of this course

Build custom projects from start to finish.

Create AI systems using machine learning, prompt engineering, fine-tuning, and beyond. Build functional prototypes that demonstrate your AI solutions as POCs.

Develop essential Python skills.

Build a solid foundation in Python for AI. Learn to automate tasks, create scripts, and understand key Python concepts that power AI solutions, setting the stage for more advanced AI techniques.

Understand the AI landscape.

Explore the evolution of AI, from Software 1.0 to Software 3.0, and learn how modern AI technologies like LLMs, GenAI, and prompt engineering are transforming industries and shaping the future of intelligent systems.

Manage AI projects effectively.

Master a 5-step AI project management framework to guide you from problem formulation to deployment. Learn to structure AI projects efficiently, ensuring successful implementation and measurable results.

This course includes

6 interactive live sessions

Lifetime access to course materials

11 in-depth lessons

Direct access to instructor

5 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Week 1

Apr 4—Apr 6

    Apr

    4

    Session 1: Introduction, Building with AI

    Fri 4/43:00 PM—5:00 PM (UTC)

    Homework 1

    3 items

Week 2

Apr 7—Apr 13

    Apr

    11

    Session 2: LLMs, Prompt Engineering

    Fri 4/113:00 PM—5:00 PM (UTC)

    Homework 2

    4 items

Week 3

Apr 14—Apr 20

    Apr

    18

    Session 3: RAG, Embedding Models

    Fri 4/183:00 PM—5:00 PM (UTC)

    Homework 3

    3 items

Week 4

Apr 21—Apr 27

    Apr

    25

    Session 4: Tool Use, AI Agents

    Fri 4/253:00 PM—5:00 PM (UTC)

    Homework 4

    2 items

Week 5

Apr 28—May 4

    May

    2

    Session 5: Fine-tuning

    Fri 5/23:00 PM—5:00 PM (UTC)

    Homework 5

    3 items

Week 6

May 5—May 9

    May

    9

    Session 6: AI Project Management

    Fri 5/93:00 PM—5:00 PM (UTC)

Post-course

4.8 (34 ratings)

What students are saying

Meet your instructor

Shaw Talebi

Shaw Talebi

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.

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Join an upcoming cohort

AI Builders Bootcamp

Cohort 4

$700

Dates

Apr 4—May 9, 2025

Payment Deadline

Apr 4, 2025

Don't miss out! Enrollment closes in 2 days

Get reimbursed

Course schedule

2-4 hours per week (min requirement)

  • Fridays

    10AM - 12PM CST

    Weekly live lectures with instructor and fellow cohort members.

  • Session Pre-work

    1 to 2 hours per week

    (Optional) reading and video content to prepare for the upcoming session.

  • Weekly projects

    1 to 10 hours per week

    (Optional) weekly homework to put your learnings into practice.

Frequently Asked Questions

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A pattern of wavy dots

Join an upcoming cohort

AI Builders Bootcamp

Cohort 4

$700

Dates

Apr 4—May 9, 2025

Payment Deadline

Apr 4, 2025

Don't miss out! Enrollment closes in 2 days

Get reimbursed

$700

4.8 (34)

·

2 days left to enroll