AI Mini-Bootcamp

4.8 (3)

·

6 Weeks

·

Cohort-based Course

Over 6 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 on Tuesday - January 7th

AI & Machine Learning Modeling

2:00 PM—4:30 PM (EDT) January 7th, 2025 


Programming with Python

2:00 PM—5:00 PM (EDT) January 9th, 2025 


Machine Learning Data Prep with Python

2:00 PM—4:30 PM (EDT) January 14th, 2025 


Introduction to Machine Learning & AI

2:00 PM—4:30 PM (EDT) January 16th, 2025 


Large Language Models & Fine-Tuning

2:00 PM—4:30 PM (EDT) January 23rd, 2025 


Introduction to RAG – Retrieval Augmented Generation

2:00 PM—4:30 PM (EDT) January 30th, 2025 


Introduction AI Agents

2:00 PM—4:30 PM (EDT) February 6th, 2025 


Build and Launch Your AI Project

2:00 PM—4:30 PM (EDT) February 13th, 2025 


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


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 10 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

16 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.

Course syllabus

Week 1

Jan 6—Jan 12

    Start here: Welcome to Maven

    3 items

    Jan

    7

    AI & Machine Learning Modeling

    Tue 1/71:00 PM—3:30 PM (UTC)

    Jan

    7

    Optional: Office Hours - Session 1

    Tue 1/73:30 PM—4:00 PM (UTC)
    Optional

    AI & Machine Learning Modeling

    4 items

    Jan

    9

    Programming with Python

    Thu 1/91:00 PM—3:30 PM (UTC)

    Jan

    9

    Optional: Office Hours - Session 2

    Thu 1/93:30 PM—4:00 PM (UTC)
    Optional

    Programming with Python

    4 items

Week 2

Jan 13—Jan 19

    Jan

    14

    Machine Learning Data Prep with Python

    Tue 1/147:00 PM—9:30 PM (UTC)

    Jan

    14

    Optional: Office Hours - Session 3

    Tue 1/143:30 PM—4:00 PM (UTC)
    Optional

    Machine Learning Data Prep with Python

    4 items

    Jan

    16

    Introduction to Machine Learning & AI

    Thu 1/161:00 PM—3:30 PM (UTC)

    Jan

    16

    Optional: Office Hours - Session 4

    Thu 1/163:30 PM—4:00 PM (UTC)
    Optional

    Introduction to Machine Learning & AI

    4 items

Week 3

Jan 20—Jan 26

    Jan

    23

    Large Language Models & Fine-Tuning

    Thu 1/231:00 PM—3:30 PM (UTC)

    Jan

    23

    Optional: Office Hours - Session 5

    Thu 1/233:30 PM—4:00 PM (UTC)
    Optional

    Large Language Models & Fine-Tuning

    4 items

Week 4

Jan 27—Feb 2

    Jan

    30

    Introduction to RAG – Retrieval Augmented Generation

    Thu 1/301:00 PM—3:30 PM (UTC)

    Jan

    30

    Optional: Office Hours - Session 6

    Thu 1/303:30 PM—4:00 PM (UTC)
    Optional

    Introduction to RAG – Retrieval Augmented Generation

    4 items

Week 5

Feb 3—Feb 9

    Feb

    3

    Introduction AI Agents

    Mon 2/31:00 PM—3:30 PM (UTC)

    Feb

    6

    Optional: Office Hours - Session 7

    Thu 2/63:30 PM—4:00 PM (UTC)
    Optional

    Introduction to AI Agents

    4 items

Week 6

Feb 10—Feb 13

    Feb

    13

    Build and Launch Your AI Project

    Thu 2/131:00 PM—3:30 PM (UTC)

    Feb

    13

    Optional: Office Hours - Session 8

    Thu 2/133:30 PM—4:00 PM (UTC)
    Optional

    Build and Launch Your AI Project

    2 items

4.8 (3 ratings)

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 value s.

Prior Feedback for the Instructor

        These courses have played a crucial role in broadening my horizons and furnishing me with invaluable insights.
Shivam Juneja

Shivam Juneja

Business Analyst
        It was an intensive educational experience that provided deep dives into some of the cutting-edge areas of data science
Neel Agarwal

Neel Agarwal

MS Data Science
        The knowledge and insights gained during these courses have further ignited my passion to delve deeper into the fascinating realm of data.
Calvin Li

Calvin Li

Master of Analytics
        I'm thrilled to share my profound appreciation for the individuals who have made these amazing data science bootcamp courses a success! The workshops are helping us to expand our knowledge.
Alexis Roldan

Alexis Roldan

Full-Stack Data Scientist III | Software Developer
        This is an absolutely fantastic introduction... Thank you very very much. Its the most productive couple of learning hours I have spent in a very long time.
Srivat.S

Srivat.S

Software Engineer
        It was a great introduction to the ever-changing and fast-paced world of AI.
Katina M.

Katina M.

, Data Analyst
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Join an upcoming cohort

AI Mini-Bootcamp

January 2025 AI Mini-Bootcamp

$399

Dates

Jan 6—Feb 13, 2025

Payment Deadline

Jan 5, 2025
Get reimbursed

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

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

A pattern of wavy dots

Join an upcoming cohort

AI Mini-Bootcamp

January 2025 AI Mini-Bootcamp

$399

Dates

Jan 6—Feb 13, 2025

Payment Deadline

Jan 5, 2025
Get reimbursed

$399

4.8 (3)

·

6 Weeks