Welcome to GIDS

Build Your Career in Artificial Intelligence & Data Science

Dive into our AI and Data Science hub, combining fresh knowledge, practical training and a thriving community for tech and finance leaders
$333B+

Global AI Venture Funding Since 2020

$267B+

Global AI Market Value in 2023

97M+

Global Jobs in AI will be created by 2025.

Master the Full Spectrum of AI through our Comprehensive Education

Machine Learning

Plunge into the epicenter of today’s technological revolution with our dynamic Machine Learning Course. This is not just a course; it’s an interactive journey into a world where data informs decisions and algorithms sculpt our future.

Artificial Intelligence

Unveil the true power of Artificial Intelligence with our in-depth and hands-on training program. Guided by industry professionals, you’ll explore the intriguing complexities of AI.

Deep Learning

Deep Learning

Harness the incredible power of Deep Learning as an Advanced Artificial Intelligence, an extension of Unsupervised Learning, Supervised Learning, Reinforcement Learning, Natural Language Processing, and more. Enable unprecedented pattern recognition capabilities to unlock deeper insights and optimizations from highly complex, multi-structured data for the most accurate category in Data Science.

Descriptive Analytics

Descriptive Analytics

Discover hidden insights in complex data through the Descriptive Analytics of Unsupervised Learning by uncovering patterns for better decision-making. Observe first-hand how to profile distinct groups, reveal the intrinsic interrelationships within datasets, and learn about automation methods before you pick a model.

Reinforcement Learning

Teach machines to learn optimized behaviors in complex environments through digital experience and rewards. See first-hand how Reinforcement Learning enables a model-free, assumption-free approach to recommendation engines, logistics optimization, and more.

Predictive Analytics

Enable data-driven forecasts and classifications, unlocking future performance improvements across business operations with the Predictive Analytics of Supervised Learning. Witness first-hand how machine learning models uncover relationships within historical data to produce accurate predictions and projections to bring your organization to the next level.

Live Networking

Building true relationships with other data scientists, venture capitalists, tech practitioners, and educational institutions to allow your skills and professional experience to compound over time

1-on-1 Coaching

Our personalized coaching sessions make the road to career advancement clearer than ever. Upgrade your skills directly from seasoned industry experts ready to impart wisdom and techniques.

natural language processing

NLP

Unlock the linguistic capabilities of machines with our immersive Natural Language Processing training. Through hands-on tutorials and stimulating workshops, you’ll gain practical skills to apply NLP techniques like text analysis, automated writing, code generation and debugging, and predicting good and bad statements.

Driving success through expertise and passion

John Thomas Foxworthy is a Data Science Veteran with 20 years of professional experience with Consulting Companies, Start Ups, Global Big Banks, and Global Hedge Funds.

The Financial Services Industry and Marketing Science are John’s primary sector experiences and short stints with Big Box Retailers. John has held the title of Data Scientist for many years, but also a Technology Project Manager, Software Developer, and Statistician.

In addition, in 2022, John completed his Master of Science in Data Science from a Top Ten ranked university in the U.S., Northwestern University, with a 3.80 GPA out of 4.00 or the top 5 percentile.

John’s Specialization was Artificial Intelligence on numerical data, images, and text. Altogether, he took 12 courses at the graduate level in Data Science that are all covered in the Data Science Acceleration course at the Global Institute of Data Science.

John is an Artificial Intelligence Instructor at the University of California, San Diego Extended Studies, where he teaches Deep Learning AI.

John is also a Master Instructor at Caltech’s Center for Technology & Management Education for Artificial Intelligence, Deep Learning, and Machine Learning.

Just one of our success stories!

WHAT QUESTIONS SHOULD ONE ASK TO VALIDATE AN EXPERT IN AI?

Education Background
Education Background
What subject did the AI expert study in school?

Master's of Science in Data Science

How is the school subject related to Artificial Intelligence and Machine Learning?

AI / ML are core fundamental frameworks that are not optional in Data Science

In what year did the AI Expert complete his studies in Artificial Intelligence and Machine Learning?

2022

Do they have the words “Artificial Intelligence” and “Machine Learning” on their university transcripts?

Yes

What categories of Artificial Intelligence and Machine Learning did the AI Expert learn in their university studies?

Descriptive Analytics of Unsupervised Learning, Predictive Analytics of Supervised Learning, Reinforcement Learning, Natural Language Processing, and Graph Data Science.

How many courses did the AI Expert take that is related Artificial Intelligence and Machine Learning at a University?

12

What was the specialization or thesis at their university directly related to Artificial Intelligence and Machine Learning?

Deep Learning Artificial Intelligence and Predictive Analytics

What is the university ranking of the AI / ML degree?

Top Ten in the U.S.

What the grade point average of the AI / ML degree?

3.80 or Top 5% of the class

Did he or she apply the university teachings on AI / ML into the real business world?

Yes

Employment Background
Employment Background
In what year did the AI expert start to work on Artificial Intelligence and Machine Learning and deliver solutions to a business?

2005

How many models did he or she put into production at an employer?

Dozens

What programming languages did the AI expert use?

Python, R, JavaScript, and C++

What type of methods in predictive analytics did the AI expert use the real world?

Linearity, Instance-Based, Bayesian, Ensemble, and Neural Networks

Has the AI expert ever used Reinforcement Learning in the real world?

Yes

Has the AI expert ever used Natural Language Processing in the real world?

Yes

Has the AI expert ever used Graph Data Science in the real world?

Yes

Did he or she manage a team of Data Scientists who deployed AI / ML into production?

Yes

Mentor Background
Employment Background
How many years of experience in coaching and mentoring does the AI expert have?

Since 2005

How many people did the AI expert coach and mentor?

Hundreds

How many years of teaching experience does the AI Expert have in the real business world and / or universities?

Since 2014

Has the AI Expert ever taught or does teach now any subjects in AI / ML?

Yes, I teach multple AI / ML subjects at Caltech and UCSD

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