Al Advanced Training Program:
An online program for technical
professionals
Instructors from
Cutting-edge AI instruction for working professionals, taught by Stanford and MIT researchers.
No prereqs and no experience needed.
WHY AI FOR WORKING PROFESSIONALS?
The market for Al-driven technology is expected to increase 40% before 2028, with TensorFlow cited as the most popular tech skill for professionals to learn between 2016 and 2019, and with the large scale impact of generative Al and ChatGPT.
Fundamental Al and Machine Learning skills are projected to be the most in-demand skillset over the next decade – no matter the field. As a working professional, you are looking to gain skills that will set you apart in your jobs and career field.
As an Al Innovator, you will combine your expertise (whether that be Journalism, Law, Psychology, Healthcare, Engineering, or something entirely different) with fundamental, technical Al skills – setting you up for success in an increasingly tech- driven job market.
learn to craft a compelling resume strengthening it with the technology of the generation and succeed in interviews to advance your career in Al and technology leadership!
Program Overview
Whether you have experience in coding or not, our Inspirit
Al Innovators Program will prepare you to apply Al to your domain.
- Small group instruction led by Stanford and MIT researchers.
- Cutting-edge Al instruction in small, live, online classes.
- Real-world projects – applied to your passions.
- Al career development through resume reviews, interview prep, and workshops.
- We offer advanced courses for any skill level, so you’ll always be met with a challenge.
Program Outcomes
- Build out machine learning models, analyze results, and present findings with
the most popular languages in AI and data mining. - Gain familiarity with the mathematical mindset through which we tell our data
stories and be able to apply this to any field you choose. - Professional development in Al + your domain
- Access to an exclusive network of AI Innovation Alumni & 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
Candidate Stanford, MS in
Biomedical Informatics
Program Outline
PHASE 1
Al Foundations
PHASE 2
Al + X Project
AI + X: WHAT WILL YOU DO WITH A
Bring your domain expertise, and learn how to practically apply the AI techniques you learn
to your field of interest.
EXAMPLE PROJECT TRACKS
Al+ Students choose from 25+
projects across 10+ domains.
Bring your domain expertise, and learn how to practically apply the AI techniques you learn
to your field of interest.
EXAMPLE PROJECT TRACKS
Al+ Students choose from 25+
projects across 10+ domains.
- Arts & Music
- Healthcare
- Engineering
- Education
- Environment
- Literature
- Biology
- Physics
- Journalism Finance
- Business Political Science
- Law Psychology
AI + UNBIASED LLMS
• Exploring Large
Language Models
• Learn the structures
of a variety of LLMs,
from unigram
models to GPT-4.
• Build upon a
transformer model
with reinforcement
learning from human
feedback to finetune
a safe chatbot.
AI + FINANCE
• Use Natural
Language
Processing for
Algorithmic
Trading
• Focus on the
intersection of Al
and finance,
predicting stock
market prices
using sentiment
analysis on
Twitter.
Al + Business
• Build an Al
Assistant
• Learn the basics
of Large
Language Models
(LLM)and build a
fully functional
customized Al
assistant .
Al + Mobility & Safety
• Use Computer
Vision for Object
Detection
• Understand the
impact of self-
driving cars and
build neural
networks to
determine whether
objects in view are
other cars, street
signs, or people.
“Artificial intelligence is probably the most important thing humanity has ever worked on.”
Sundar Pichai, Alphabet CEO
PROGRAM LOGISTICS & APPLICATION
Al Advanced Training ProgramAdmitted students will be emailed a link for online payment.
-
Sunday, October 13, 2024
Thursday, October 24, 2024 -
7:00 - 9:00pm
(Sunday to Thursday, total 10 session days)
