Advanced AI Portfolio Bootcamp for Software Engineers
3 Weeks
·Cohort-based Course
Build an AI portfolio across three critical domains: Data Analytics, Computer Vision, & NLP. Gain real-world AI project experience.
Advanced AI Portfolio Bootcamp for Software Engineers
3 Weeks
·Cohort-based Course
Build an AI portfolio across three critical domains: Data Analytics, Computer Vision, & NLP. Gain real-world AI project experience.
Previously at
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?
Go beyond the fundamental knowledge of AI and apply hands-on technical skills to real-world data problems to showcase your skill level.
This intensive AI bootcamp equips you with the skills and know-how to build a unique, concise, and game-changing AI portfolio of end-to-end projects 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:
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.
Skills you'll practice:
1. Pytorch
2. Scikit Learn
3. Pandas
4. Flask API
5. Heroku
6. Google Colab
7. Streamlit
Who is this course for
01
Intermediate and Advanced Python users trying to dive into AI beyond the theoretical knowledge to practical showcase real skills.
02
Students interested in building and deploying end-to-end AI projects.
03
Entry and Mid-level Software engineers looking to pivot into AI through building side projects but need a concrete syllabus to navigate.
What you’ll get out of this course
Perform exploratory data analysis: A basic concept to understand before diving into ML.
Build UI for ML models: Build a basic Streamlit UI for users to interact with various ML models
Build and train a computer vision model from scratch: An integral part of any computer vision project.
Deploy a computer vision ML model: Turn a model into an API for users to interact with it.
Deploy data analytics and NLP projects as web applications: create real websites where anyone can interact with what you have built.
Build and train a natural language processing(NLP) model from scratch: An integral part for building small language models.
This course includes
5 interactive live sessions
Lifetime access to course materials
12 in-depth lessons
Direct access to instructor
4 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.
Advanced AI Portfolio Bootcamp for Software Engineers
Course syllabus
Week 1
May
17
Exploratory Data Analysis Session
May
18
Deploying data analytics web app Session
Start here: Welcome to Maven
Exploratory data analytics project
Week 2
May
25
Deploying the NLP Web app Session
Natural Language Processing - Small Language Model Project
Week 3
May
31
Building the computer vision model Session
Jun
1
Deploying Computer Vision API Session
Computer Vision Image Classification Project
Week 4
Bonus
Overview
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
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Advanced AI Portfolio Bootcamp for Software Engineers
Course schedule
6-8 hours per week
Fridays & Saturdays
11:00am - 1:00pm EST
Every Friday and Saturday of the cohort session will be a live session where for 2 hours, we will be going through the information and hands-on steps for each project.
Each week will be focused on one of the projects and it is essential for students to attend.
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
Be the first to know about upcoming cohorts