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Artificial Intelligence
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Maven

Advanced AI Portfolio Bootcamp for Software Engineers

  • up to 3 weeks
  • Advanced

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: Data Analytics, Computer Vision, and Natural Language Processing. Gain real-world AI project experience and stand out in a crowded field.

  • Data Analytics
  • Computer Vision
  • Natural Language Processing
  • Exploratory Data Analysis
  • Model Deployment

Overview

In this bootcamp, you will go beyond fundamental AI knowledge and apply hands-on technical skills to real-world data problems. You will develop three distinct applications that showcase your diverse skillset in Data Analytics, Computer Vision, and Natural Language Processing. The course includes interactive live sessions, lifetime access to course materials, guided feedback, and a private community of peers.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Part-time
    course format
  • Live classes
    delivered online

Who is this course for?

Intermediate and Advanced Python users

Python users trying to dive into AI beyond the theoretical knowledge to practical showcase real skills.

Students

Students interested in building and deploying end-to-end AI projects.

Entry and Mid-level Software engineers

Software engineers looking to pivot into AI through building side projects but need a concrete syllabus to navigate.

This bootcamp equips you with the skills to build a unique AI portfolio across Data Analytics, Computer Vision, and NLP. Ideal for intermediate to advanced Python users, students, and software engineers, this course helps you stand out in the AI field by providing real-world project experience.

Pre-Requisites

1 / 3

  • Intermediate to advanced knowledge of Python

  • Basic understanding of machine learning concepts

  • Familiarity with web development basics

What will you learn?

Getting Started
Set yourself up for a successful course. Learn how to leverage Maven's Student Home and dive into the course content. Discover 5 simple tips for making the most of this cohort and learning community.
Exploratory Data Analysis Project
Explore the reviews of Barbenheimer as a large Movie. Perform exploratory data analysis on a real-world project.
Deploying Data Analytics Web App
Deploy a data analytics project as a web application, creating a real website where anyone can interact with what you have built.
Natural Language Processing - Small Language Model Project
Build and train a natural language processing (NLP) model from scratch. Deploy the NLP project as a web application.
Building the Computer Vision Model
Build and train a computer vision model from scratch, an integral part of any computer vision project.
Deploying Computer Vision API
Turn a computer vision model into an API for users to interact with it.

Meet your instructor

  • Emmanuel Acheampong

    Co-Founder | Head of AI, yShade.ai

    Emmanuel Acheampong is a Co-founder and Head of AI at yShade.ai, where he builds AI/ML algorithms that teach machines to see all human skin shades in all lighting and atmospheric conditions. He is passionate about using AI/ML to solve real-world problems and create a positive social impact.

Upcoming cohorts

  • Dates

    start now

$399