AI Mini-Bootcamp
Begin your bootcamp journey with 6 weeks pre-conference live and on-demand training to build confidence in the fundamentals.
This course is no longer available.
Explore other coursesCourse overview
🚀Our next AI Mini Bootcamp live session is happening on Tue. 24th of February
AI & Machine Learning Modeling-
2:00 PM—4:30 PM (EST) 24th of February 2026.
Vibe Coding with AI
2:00 PM—4:30 PM (EST) 26th of February 2026.
Machine Learning Data Prep with Python
2:00 PM—4:30 PM (EST) 3rd of March 2026.
Introduction to Machine Learning
2:00 PM—4:30 PM (EST) 5th of March 2026.
Introduction to LLMs
2:00 PM—4:30 PM (EST) 12th of March 2026.
Introduction to RAG – Retrieval Augmented Generation
2:00 PM—4:30 PM (EST) 19th of March 2026.
Introduction AI Agents
2:00 PM—4:30 PM (EST) 26th of March, 2026.
Build and Launch Your AI Project
2:00 PM—4:30 PM (EST) 2nd of April, 2026.
If you’ve missed any, don’t worry—you still have access to the 13 sessions that passed including our On-Demand courses:
* Data & Generative AI Literacy
*.Data Wrangling With SQL
* Linear Algebra
* Statistics and Hypothesis Testing
* Introduction to Math for Data Science
You have access to:
* All 13 recordings (30 hours)
* All code notebooks ( ~ 20)
* All 13 slide decks
As these are primer courses, no prior experience is necessary. Individual setup prerequisites will be provided prior to each course.
From AI Novice to Job-Ready AI Skills
By the end of this AI Bootcamp, students will transform from AI novices to confident practitioners, equipped with the skills and knowledge to tackle complex data challenges and build sophisticated AI systems. They'll move from understanding basic concepts to applying advanced AI techniques in real-world scenarios, gaining the hands-on experience and expertise needed to drive innovation and lead in the rapidly evolving AI landscape.
In this Bootcamp, you'll be learning from a leading expert in the field of AI, ensuring that you receive top-tier instruction and insights. The program includes optional on-demand prerequisite courses to build your foundation, followed by 8 live, hands-on sessions that dive deep into AI concepts and applications. You'll have access to take-home exercises to reinforce your learning, and all sessions are recorded so you can revisit the material anytime. Additionally, office hours are available to provide personalized support and help you succeed in mastering the course content.
Regardless of your current skill level, this AI bootcamp will help transform you from AI novice to confident practitioner
01
NOVICES: This course is designed for AI novices, including professionals, students, and enthusiasts eager to dive into the world of AI
02
ENGINEERS: Software engineers and other technical professionals seeking to deepen their understanding of AI and enhance their skills
03
Product managers and Builders who want to understand and build AI into their products, leveraging AI-powered innovation to stay competitive
What you’ll get out of this course
1 year free access to Ai+ Training & Agentic Ai Summit
- Free Courses and Free Content | ODSC Top Picks
- Courses, Webinars Access to all On-Demand Library
- Skills and Coding Assessments | Feedback
- Access to Virtual Agentic AI Summit in summer 2026
- Access to Monthly Live Trainings
- ODSC Conference Pass Credit
- + Certificates of C
A Comprehensive AI Bootcamp with Expert Guidance and Resources
In this bootcamp, you'll complete a total of 8 courses, including 5 live, hands-on training sessions and 3 optional prerequisite courses, all taught by a leading expert in the field. You'll also receive code notebooks, comprehensive slides, and access to weekly office hours
Python Proficiency: Gain expertise in Python programming, specifically tailored for machine learning applications.
Develop a strong command of Python programming, with a focus on the essential libraries and frameworks used in machine learning. This includes mastering data structures, control flow, and functions, as well as advanced topics like data manipulation with Pandas
Fundamental ML Concepts: Understand and implement key machine learning algorithms and concepts.
Build a solid foundation in machine learning by understanding and implementing key algorithms and concepts. You'll explore essential topics such as supervised and unsupervised learning, model training and evaluation, feature engineering, and data preprocessing.
Machine Learning Data Preprocessing: Learn techniques for data cleaning, preparation, and feature engineering.
Master the critical techniques for transforming raw data into a format ready for machine learning models. You'll learn how to clean and preprocess data by handling missing values, detecting and removing outliers, normalizing and scaling features, alongside feature engineering
LLM Comprehension: Understand the architecture and functioning of large language models (LLMs) and Prompt Engineering
A deep dive into the architecture and inner workings of large language models (LLMs). You'll explore the foundational principles that power these models, including transformer architecture, attention, and the process of training on vast datasets. In addition to prompt engineerin
AI Agent & RAG Development: Learn to design and build AI agents capable of performing complex tasks autonomously.
Gain hands-on experience in designing and building sophisticated AI agents that can autonomously perform complex tasks. Learn core principles including how to integrate decision-making algorithms,and create responsive and intelligent agents. Additionally, you'll explore RAG
Each class is hands-on to ensures practical proficiency in Python, ML concepts,, model, LLMs, prompt engineering, AI agents, and RAG,
What’s included
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Live sessions
Learn directly from Sheamus McGovern in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
7 live sessions • 28 lessons
Week 1
- 🚀
Three things to do to get started
- 🤔
What makes cohort-based learning different?
- 🛟
Where to get support
- 📄
Lesson 1: Introduction
- 📄
Lesson 2: Types of ML
- 📄
Lesson 3: Supervised Learning
- 📄
Lesson 4: Unsupervised Learninng
- 📄
Lesson 1: Vibe Coding Foundations
- 📄
Lesson 2: Data Structures You’ll Actually Use
- 📄
Lesson 3: Functions, Reuse, and Tooling Up
- 📄
Lesson 4: From Code to Creation — Build Something Real
Start here: Welcome to Maven
Feb
24
AI & Machine Learning Foundations
AI & Machine Learning Modeling
Feb
26
Building Ai with Coding Assistants
Building Ai with Coding Assistants
Week 2
- 📄
1: Introduction
- 📄
2: Data Cleaning
- 📄
3: Data Transformation
- 📄
4: Data Manipulation
Mar
5
Data Prep for Machine Learning and LLMs with Python
Data Prep for Machine Learning and LLMs with Python
Data prep is the cornerstone of any data-driven project, and Python stands as one of the most powerful tools in this domain. In preparation for the ODSC conference, our specially designed course on “Machine Learning Data Prep with Python” offers attendees a hands-on experience to master the essential techniques. From cleaning and transforming raw data to making it ready for analysis, this course will equip you with the skills needed to handle real-world data challenges.
Week 3
- 📄
Lesson 1: LLM Basics
- 📄
Lesson 2: Prompt Engineering
- 📄
Lesson 3: ChatGPT API
- 📄
Lesson 4: Fine Tuning LLMs
Mar
12
Introduction to LLMs, Fine-Tuning & Evaluation
Introduction to LLMs (Large Language Models)
Week 4
- 📄
Lesson 1: Introduction
- 📄
Lesson 2: RAG Workflow
- 📄
Lesson 3: Techniques & Tools
- 📄
Lesson 4: Frameworks and Evaluation
Mar
19
Building Knowledge-Grounded LLMs with RAG
Introduction to RAG – Retrieval Augmented Generation
This intro to AI Agents & RAG is a comprehensive course designed to equip students with the foundational knowledge and practical skills needed to build and implement AI agents. This course explores the core concepts of AI agents, including their types, key components, and tools, as well as advanced topics like agent chains and Retrieval-Augmented Generation (RAG). T
Week 5
- 📄
Lesson 1: AI Agents
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Lesson 2: Building AI Agents
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Lesson 3: Agent Chains
- 📄
Lesson 4: Agent Frameworks
Introduction to AI Agents
This intro to AI Agents & RAG is a comprehensive course designed to equip students with the foundational knowledge and practical skills needed to build and implement AI agents. This course explores the core concepts of AI agents, including their types, key components, and tools, as well as advanced topics like agent chains and Retrieval-Augmented Generation (RAG). T
Week 6
- ✍️
Your AI Project
Submit by Dec 12
Apr
2
Automating Workflows with Agentic AI
Apr
2
Capstone: Build and Deploy Your Agentic AI Application
Build and Launch Your AI Project
No module content yet
Project Steps (Build-as-You-Go):
This capstone project is the culmination of your AI Mini Bootcamp, guiding you to progressively build and launch a practical, end-to-end AI agent. You'll integrate core AI concepts learned throughout the bootcamp, combining powerful techniques like Retrieval-Augmented Generation (RAG), language model (LLM) fine-tuning, and interactive AI agent design.
Bonus
- 📄
With AI+ Premium subscription You will get:
Free 1 Year AI+ Subscription
By attending a Bootcamp you will get get 1 year free access to Ai+ Training.
What students are saying
Meet your instructor
Sheamus McGovern
Sheamus McGovern
Sheamus McGovern is a prominent figure in the artificial intelligence and data science communities, serving as the Founder of the Open Data Science Conference (ODSC) a global hub where practitioners, researchers, and industry leaders converge to exchange cutting-edge knowledge and innovations in AI and data science.
In addition to his role at ODSC, Sheamus is a Venture Partner and Head of AI at Cortical Ventures, where he spearheads their AI platfrom development. His work involves identifying and supporting high-potential startups that are poised to revolutionize industries with scalable and impactful AI solutions.
Before his current roles, Sheamus has helped dozens of companies build data-centric and AI-driven applications as a Software Engineer, Data Scientist, and Machine Learning Engineer. His hands-on experience in engineering and data science has equipped him with the expertise to design and implement robust AI systems that drive business values.
Prior Feedback for the Instructor
Shivam Juneja
Neel Agarwal
Calvin Li
Alexis Roldan
Srivat.S
Katina M.
Course schedule
2-5 hours per week, for 5 weeks
Live Courses: Weekly on Wednesdays
1:00pm - 3:00pm EST
ON-Demand Prerequisites
3 optional on-demand prerequisites will be available 2 weeks before the bootcamp start date.
Weekly Support Office Hours
Monday to Wednesday
Held weekly, office hours day may vary based on student cohort preferences.
Weekly Exercises
1 hours per week
Each weekly course will include take-home exercises that include solution code notebooks
Frequently Asked Questions
Learning is better with cohorts
Our Next live session is happening this Wednesday, October 2nd
"🚀 Exciting news! Our next AI Mini Bootcamp live session is happening this Wednesday!
Introduction to Machine Learning
2:00 PM—4:00 PM (EDT)
If you’ve missed any, don’t worry—you still have access to the 5 sessions that just passed in Join us and level up your AI skills including:
- Data and Generate AI Literacu
- Data Wrangling with SQL
- Introduction to Pyhon Programming
- Introduction to AI
- Machine Learning Data Prep with Python
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you