Advanced AI Portfolio Bootcamp for Software Engineers


3 Weeks


Cohort-based Course

Build a unique, concise and standout AI portfolio of 3 projects: Data Analytics, Computer Vision and NLP

Previously at

Morgan Stanley

Course overview

Don't Just Learn, Do: The AI Bootcamp Where You Build a Real Portfolio

Are you ready to launch your AI career but worried about standing out in a crowded field?

This intensive AI bootcamp equips you with the skills and know-how to build a unique, concise, and game-changing AI portfolio showcasing your mastery across three critical domains:

1. Data Analytics

2. Computer Vision

3. Natural Language Processing.

Why 3 domains?

Because the future of AI lies in cross-disciplinary expertise. This bootcamp breaks you free from siloed learning, enabling you to:

Master essential tools and techniques: Learn from industry professionals as you delve into Python, libraries like Scikit-Learn, Streamlit and PyTorch.

Tackle real-world projects: Develop 3 distinct applications that showcase your diverse skillset.

Data Analytics Project: Perform exploratory data analysis on a real world project.

Computer Vision Project: Build and deploy an image classification model as an API.

NLP Project: Build and deploy a Small Language Model as a web application.

Who is this course for


Intermediate and Advanced Python users. In this course we will not be going over basic Python syntax.


Students interested in Building end-to-end AI projects. Prospective students should want to build AI projects from building to deploying.


Software engineers looking to pivot into AI through building side projects

What you’ll get out of this course

A powerful AI portfolio: 

Three diverse projects that demonstrate your ability to solve real-world problems across different domains.

In-demand skills:

Master the tools and techniques sought after by top AI companies.

This course includes

6 interactive live sessions

Lifetime access to course materials

12 in-depth lessons

Direct access to instructor

3 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

Expand all modules
  • Bonus


    • Overview

Meet your instructor

Emmanuel Acheampong

Emmanuel Acheampong

CEO/Head of AI @ roboMUA

Emmanuel Acheampong's journey in Artificial Intelligence began with a strong academic foundation. His Master's thesis at Notre Dame addressed a critical military defense challenge using cutting-edge computer vision algorithms. This project showcased his:

  • Deep understanding of AI principles
  • Commitment to practical applications
  • Critical thinking and problem-solving skills

From Theory to Impact: Building a Startup

Emmanuel's passion extends beyond theory. He co-founded roboMUA, a startup that leverages AI to revolutionize the beauty industry. Their achievements include:

  • AI-powered shade matching for foundation and shapewear, ensuring inclusivity.
  • Generative AI for hair try-ons, allowing virtual experimentation with hairstyles.
  • Hosting the world's first Beauty AI Hackathon, fostering innovation in the field.
  • Winning "Technology of the Year" at the Smart Retail Tech Conference.

Empowering the Next Generation

Emmanuel's dedication goes beyond entrepreneurship. He is an AI conference speaker who has spoke at conferences like Ai4 and AIDevWorld and has taught about 5000 students on the Coursera platform with a stellar rating.

He is passionate about:

  • Creating accessible and engaging AI/ML courses
  • Fostering a supportive learning community
  • Empowering students to build real-world projects


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Join an upcoming cohort

Advanced AI Portfolio Bootcamp for Software Engineers

Cohort 1

$399 USD


May 17—June 5, 2024

Application Deadline

May 10, 2024

Bulk purchases

Course schedule

4-6 hours per week
  • Tuesdays & Thursdays

    1:00pm - 2:00pm EST

    If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

  • May 7, 2022

    Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.

  • Weekly projects

    2 hours per week

    Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

Learning is better with cohorts

Learning is better with cohorts

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

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
What’s the refund policy?
A pattern of wavy dots
Join an upcoming cohort

Advanced AI Portfolio Bootcamp for Software Engineers

Cohort 1

$399 USD


May 17—June 5, 2024

Application Deadline

May 10, 2024

Bulk purchases

$399 USD

3 Weeks