Al Advanced Training Program

Why AI for Working Professionals?

The market for AI-driven technology is projected to grow by 40% before 2028. TensorFlow has been identified as one of the most valuable tech skills for professionals between 2016 and 2019 — and with the rise of generative AI and ChatGPT, the demand for AI skills continues to surge.

Fundamental AI and Machine Learning expertise will remain among the most sought-after competencies across industries over the next decade. Whether your background is in journalism, law, psychology, healthcare, or engineering, combining your professional expertise with AI knowledge will open new career opportunities.

This program empowers professionals to strengthen their resumes, build technical fluency, and excel in AI and technology leadership roles.

Program Overview

Whether or not you have coding experience, the Inspirit AI Innovators Program prepares you to apply AI to your professional domain.

• Small-group, live sessions led by Stanford and MIT researchers.

• Real-world projects applied to your personal interests.

• Career development support including resume reviews, interview prep, and professional workshops.

• Advanced courses available for every skill level.

Program Outcomes

Participants will:

• Build machine learning models, analyze data, and present findings using leading AI and data science tools.

• Gain fluency in the mathematical logic behind data-driven insights.

• Develop practical AI skills to enhance their work in any field.

• Join an exclusive global network of AI alumni and instructors.

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), Stanford (MS in Biomedical Informatics)

Program Outline

PHASE 1: AI Foundations
Session 1: Introduction to AI – Regression Models, Python & AI Libraries
Session 2: Machine Learning Fundamentals – Classification, Supervised & Unsupervised Learning
Session 3: Natural Language Processing – Sentiment Analysis and Language Understanding
Session 4: Computer Vision & Neural Networks – Applications in Autonomous Vehicles
Session 5: Convolutional Neural Networks – Object Detection with Deep Learning

PHASE 2: AI + X Project
Session 6: AI + Your Field: Project Design and Introduction
Session 7: Building Your Brand – Mentorship and Marketing Yourself
Session 8: Model Optimization in TensorFlow – Hands-On Practice
Session 9: AI Web App Deployment – Mentored Implementation
Session 10: AI Careers & Applications Panel – Project Presentation

AI + X: What Will You Do with AI?

Bring your expertise and apply AI techniques to your field of interest. Students select from 25+ projects across 10+ domains:

Domains:

Arts & Music, Healthcare, Engineering, Education, Environment, Literature, Biology, Physics, Journalism, Finance, Business, Political Science, Law, Psychology.

Sample Tracks

AI + Unbiased LLMs
Explore large language models (LLMs) — from unigram models to GPT-4.
Build and fine-tune a safe chatbot using reinforcement learning from human feedback.

AI + Finance
Use natural language processing for algorithmic trading.
Predict stock prices using sentiment analysis on Twitter and market data.

AI + Business
Build a fully functional AI assistant.
Learn LLM fundamentals and create customized AI-driven business tools.

AI + Mobility & Safety
Use computer vision for real-time object detection.
Build neural networks to identify cars, signs, and pedestrians — key to autonomous driving systems.