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Advanced AI Portfolio Bootcamp for Software Engineers

New

3 Weeks

Cohort-based Course

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

Advanced AI Portfolio Bootcamp for Software Engineers

New

3 Weeks

Cohort-based Course

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

Hosted by

Emmanuel Acheampong

Startup founder, conference speaker and course instructor with over 5k students

Emmanuel Acheampong

Startup founder, conference speaker and course instructor with over 5k students

Previously at

This course is popular

8 people enrolled last week.

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

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

Week 1
May 17—May 19
Week dates are set to instructor's time zone
Events
May
17
Exploratory Data Analysis Session
Exploratory Data Analysis Session
Fri, May 17, 2:00 PM - 4:00 PM UTC
May
18
Deploying data analytics web app Session
Deploying data analytics web app Session
Sat, May 18, 2:00 PM - 4:00 PM UTC
Modules
Getting Started
Getting Started
3 Lessons
Exploratory data analytics project
Exploratory data analytics project
3 Lessons • 1 Project
Week 2
May 20—May 26
Week dates are set to instructor's time zone
Events
May
24
Introducing the NLP project Session
Introducing the NLP project Session
Fri, May 24, 2:00 PM - 4:00 PM UTC
May
25
Deploying the NLP Web app Session
Deploying the NLP Web app Session
Sat, May 25, 2:00 PM - 4:00 PM UTC
Modules
Natural Language Processing - Small Language Model Project
Natural Language Processing - Small Language Model Project
3 Lessons • 1 Project
Week 3
May 27—Jun 2
Week dates are set to instructor's time zone
Events
May
31
Building the computer vision model Session
Building the computer vision model Session
Fri, May 31, 2:00 PM - 4:00 PM UTC
Jun
1
Deploying Computer Vision API Session
Deploying Computer Vision API Session
Sat, Jun 1, 2:00 PM - 4:00 PM UTC
Modules
Computer Vision Image Classification Project
Computer Vision Image Classification Project
3 Lessons • 1 Project
Week 4
Jun 3—Jun 5
Week dates are set to instructor's time zone
Nothing scheduled for this week.
Bonus
Modules
Overview
Overview
0 Lessons • 0 Projects

Meet your instructor

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

Join an upcoming cohort