4.8 (34)
6 Weeks
·Cohort-based Course
This is not about theories and abstract ideas. Rather, the guiding learning principle is to learn by building.
4.8 (34)
6 Weeks
·Cohort-based Course
This is not about theories and abstract ideas. Rather, the guiding learning principle is to learn by building.
Trusted by Builders from…
Course overview
Over 6 weeks, I will teach the essentials of AI through practical examples, from simple API calls 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.
📖 Course Overview: Acquiring a practical understanding of AI through building projects, lectures will center around specific use cases that students can leverage in developing their projects. Students learn the basics of AI, machine learning, LLMs, prompt engineering, RAG, agentic systems, fine-tuning, and AI project management.
🎯 Learning Objectives
1. Define key terms and concepts associated with AI
2. Effectively use AI tools to accelerate existing workflows
3. Transform project ideas into valuable prototypes and MVPs with Python
4. Develop custom AI systems using OpenAI and Hugging Face APIs
5. Identify which AI techniques are best suited to a particular problem
✅ Who should take this course?
This course is designed for people who want to develop practical AI skills. While this can include many backgrounds, it is highly recommended that you have some coding experience (ideally Python).
• Founders building AI products (or just trying to use them effectively)
• Freelancers selling data/ML services and want to add LLM-based solutions
• Business Leaders and Product Managers leading AI initiatives and teams
• Data scientists and ML Engineers new to LLM development and GenAI**
❌ 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
01
Founders 🚀
Learn essential AI and ML engineering skills for developing AI-native products and services.
02
Freelancers + Indie Consultants 🧑💻
Get hands-on experience with LLMs and the skills you need to expand your service offerings.
03
Business leaders and PMs 🧑💼
Gain the technical foundation needed to effectively lead AI initiatives and teams.
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.
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.
AI Builders Bootcamp
Apr
4
Apr
11
Apr
18
Apr
25
May
2
May
9
4.8 (34 ratings)
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.
Join an upcoming cohort
Cohort 4
$700
Dates
Payment Deadline
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.
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Join an upcoming cohort
Cohort 4
$700
Dates
Payment Deadline