AI Mini-Bootcamp
5 Weeks
·Cohort-based Course
Over 5 weeks, gain a comprehensive understanding of AI, from foundational concepts in coding and machine learning to LLMs,AI Agents & RAG
AI Mini-Bootcamp
5 Weeks
·Cohort-based Course
Over 5 weeks, gain a comprehensive understanding of AI, from foundational concepts in coding and machine learning to LLMs,AI Agents & RAG
Course overview
Our next AI Mini Bootcamp live session is happening this Wednesday! Oct 2nd
"🚀 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 including:
* Data and Generate AI Literacy
* Data Wrangling with SQL
* Introduction to Pyhon Programming
* Introduction to AI
* Machine Learning Data Prep with Python
You have access to:'
* All five recordings (12 hours)
* All code notebooks ( ~ 20)
* All 5 slide decks
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 5 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, weekly 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
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,
This course includes
10 interactive live sessions
Lifetime access to course materials
33 in-depth lessons
Direct access to instructor
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 Mini-Bootcamp
Course syllabus
Week 1
Sep
18
Introduction to AI
Introduction to AI
Week 2
Sep
23
Office Hours - Session 2
Sep
25
Machine Learning Data Prep with Python
Machine Learning Data Prep with Python
Week 3
Sep
30
Office Hours - Session 3
Oct
2
Introduction to Machine Learning
Introduction to Machine Learning
Week 4
Oct
7
Office Hours - Session 4
Oct
9
Introduction to Large Language Models
Introduction to Large Language Models
Week 5
Oct
14
Office Hours - Session 5
Oct
16
Introduction AI Agents and RAG
Introduction to AI Agents & RAG
Post-course
Optional Prerequisite: Data Literacy & Generative AI Literacy (Optional)
Machine Learning With Python
Hands-on Introduction to Machine Learning
Meet your instructor
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 value s.
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