AI Mastery Bootcamp

Why AI for Working Professionals?

The AI-driven technology market is expected to grow by 40% before 2028, with TensorFlow cited as one of the most popular tech skills for professionals between 2016 and 2019. With the rise of generative AI and ChatGPT, the demand for AI expertise has never been higher.

Fundamental AI and Machine Learning skills are projected to be among the most in-demand skillsets of the next decade—across every industry.
As a working professional, you can use these skills to stand out in your career and expand your opportunities.

As an AI Innovator, you’ll learn to combine your domain expertise—whether it’s in Journalism, Law, Psychology, Healthcare, Engineering, or any other field—with practical AI skills that prepare you for success in a tech-driven world.

You’ll also learn how to craft an AI-focused resume and excel in interviews for AI and technology leadership roles.

Program Overview

Whether you have prior coding experience or not, the Inspirit AI Innovators Program equips you to apply AI effectively within your field.

• Small group instruction by Stanford and MIT researchers

• Live, interactive online sessions

• Hands-on, real-world projects aligned with your interests

• Career development through resume reviews, interview prep, and workshops

• Advanced learning tracks for all experience levels

Program Outcomes

• Build and evaluate machine learning models using popular AI frameworks

• Understand the mathematical principles behind data storytelling

• Gain professional growth in AI + your domain

• Join an exclusive network of AI Innovation Alumni & Mentors

Program Instructors

Instructor 1
Stanford, MS in Computer Science
Columbia, BS in Computer Science & Economics

Instructor 2
Stanford, BS in Computational Physics and Data Science

Instructor 3
MIT, BS in Electrical Engineering & Computer Science

Instructor 4
Duke, Medical Student Candidate
Stanford, MS in Biomedical Informatics

Program Outline

Day 1

• Introduction to AI

• Regression Models

• Python & AI Libraries

• Machine Learning Fundamentals

• Classification Algorithms

• Supervised & Unsupervised Learning

Day 2

• Natural Language Processing (NLP)

• Project: Sentiment Analysis with NLP

• Computer Vision and Neural Networks

• Project: Autonomous Vehicles with Neural Networks

Day 3

• Convolutional Neural Networks (CNNs)

• Project: Object Detection with Deep Learning

• AI + Your Field: Project Design

• Mentor-Led Hands-On Project Work

Day 4

• Building Your Brand & Marketing Yourself

• AI Career Development

• Mentor-Led Project Work

• Model Optimization in TensorFlow

• AI Web App Deployment

• Project Presentations

AI + X: Apply AI to Your Domain

Bring your expertise and learn to apply AI techniques practically within your field of interest.

Students can choose from 25+ projects across 10+ domains, including:
Arts & Music | Healthcare | Engineering | Education | Environment | Literature | Biology | Physics | Journalism | Finance | Business | Political Science | Law | Psychology

Example Project Tracks

AI + Unbiased LLMs

• Explore Large Language Models (LLMs)

• Understand model architectures—from unigram models to GPT-4

• Fine-tune a safe chatbot using reinforcement learning from human feedback

AI + Finance

• Apply NLP for Algorithmic Trading

• Predict stock prices using Twitter sentiment analysis

AI + Business

• Build a Custom AI Assistant

• Learn LLM fundamentals and develop a functional, personalized AI assistant

AI + Mobility & Safety

• Use Computer Vision for Object Detection

• Build neural networks to recognize vehicles, pedestrians, and road signs in autonomous driving applications