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San Francisco’s leading machine & deep learning bootcamp.

5-day immersive & hands-on training. Go from Zero to Deep Learning.

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Trusted by Tech Giants

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What Will I Learn?

Machine Learning Fundamentals

Discover parametric and non-parametric models and apply them to real-world use cases.

  • Forecast numbers with regressions
  • Predict categories with classifications
  • Group data by similarity with clustering
  • Uncover overfitting with validation
  • Select & engineer best features
  • Deal with missing data & scaling

Deep Learning Fundamentals

Dive into neural networks. Overcome the hype and understand their simplicity and effectiveness.

  • Build fully connected networks
  • Learn gradient descent & back-prop
  • Explore deep learning benefits
  • Discover activations & layers
  • Understand multi-class classifications
  • Visualize the network internal layers

Deep Learning Applications

Apply networks to structured and unstructured data, including images, text, and time series.

  • Demystify convolutions for images
  • Forecast with recurrent networks
  • Discover embeddings for language
  • Leverage pre-trained models in apps
  • Re-train them with transfer learning
  • Improve with dropout & batch-norm

Scikit-Learn

Master this machine learning library, understand its logic, powers, and secrets.

  • Benchmarks logistic & decision trees
  • Improve with random forest & SVMs
  • Build pipelines with multiple steps
  • Tune hyper-params with grid search
  • Vectorize text as using transformers
  • Serve models with Flask & Heroku

Keras & Tensorflow 2.0

Accrue extensive practice using the open-source framework developed by Google.

  • Design sequential & functional models
  • Use GPUs to train faster
  • Debug custom models with tf eager
  • Scale to large datasets with tf.data
  • Explore and improve with tensorboard
  • Deploy models using tf.serving

Applications / Case studies

Test your knowledge writing code for real-world problems and useful applications.

  • Predict house prices & survival rates
  • Detect language & cluster customers
  • Classify images & find similar ones
  • Forecast energy consumption
  • Classify sentiment & detect spam
  • Deploy an API to locate a phone

Flagship Project

Work on a project with your classmates, supervised by our expert instructors. Use work data or public data and build an end-to-end data product to present and leverage after the boot camp.

Past projects included:

  • an oil field yield model that outperformed the in-house scientists
  • an object recognition mobile app deployed on the phone
  • a bitcoin price prediction algorithm
  • twitter chatbots emulating Donal Trump and Hillary Clinton
  • a medical images classifier outperforming doctors
  • a topic and model for Reddit channels that identified haters and trolls
  • and many more …
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Why Zero to Deep Learning?

The curriculum trusted by tech giants

No longer stuck in the endless beginner phase. Say goodbye to scattered online courses and tutorials. In 5 days, we will guide you through a well-organized curriculum, covering from the fundamentals in Machine Learning to the most advanced Deep Learning content in a coherent and complete journey. You will learn how to confidently train, evaluate, and deploy neural networks in a variety of real-world scenarios.

Our content is continuously updated to reflect the most recent technology and best practices, and that is why the best tech companies train with us.

Hands-on training, mentored by experts

Zero to Deep Learning is 50% theory and 50% hands-on with real-world datasets and problems. It also includes a final project where you get to work in a team on a more advanced topic of your choosing.

Past projects included an oil field yield model that outperformed the in-house scientists, an object recognition mobile app deployed on the phone, a bitcoin price prediction algorithm, and twitter presidential debaters chatbots.

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An immersive learning environment

We create a safe space for you to learn. It isolates you from the daily worries and brings you back the joy and excitement of learning something new. Connect with engineers, data scientists, and industry experts like you.

Our classes are limited in size, and our trainers mentor you 1-on-1 during labs and the final project. This helps you keep motivated and accelerates learning.

Get trained by professionals

Zero to Deep Learning was designed from the ground up by Francesco, Google Developer Expert in Machine Learning and author of the Zero to Deep Learning book.

It is based on the condensed knowledge of the best practices developed at our company, and it has received feedback from hundreds of students from the world's top technology companies. We have trained employees at Microsoft, Twitter, Sony, Wells Fargo, Humana and many more.

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ZTDL VS Online VS Long Bootcamp

Cost
Time
Mentoring
Ideal for
Incentives aligned to
Zero to Deep Learning
Cost: $3200 - $7000
Time: 5 Days
Mentoring: In-person
Ideal for:Busy industry professionals
Incentives aligned to:• Bring you up to speed as fast as humanly possible
• Tailored to solve the problems you face at work
Online Course
Cost: FREE
Time: Weeks to months
Mentoring: None or remote
Ideal for: Students, low budget, lots of time
Incentives aligned to:• General high-level understanding
• Cheap and affordable
3 Month Boot Camp
Cost: $16000 or more
Time: 3 - 6 Month
Mentoring:In-person
Ideal for: Career changers, Job Seekers
Incentives aligned to:• Help you find a job in data science
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Pricing

Standard

Early Bird
$3200
Standard
$4000
  • 5-days in-person training
  • Hands-on labs
  • Cloud GPU during the training
  • Final project
  • Live Slack support
  • Digital copy of our e-book
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VIP

Early Bird
$6000
Standard
$7000
  • Standard Package
  • Reception cocktail & dinner
  • 1 month of weekly phone calls
  • 1 month priority support
  • Printed & signed book
  • Screencasts of intro and advanced topics
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Enterprise

  • For teams of 10+ people
  • Discounts on Standard and VIP
  • Custom curriculum
  • Onsite training
  • Variable number of days
Contact Us

Upcoming Schedule

Dates
Location
Early Bird
Availability
Dates: September 9 - 13
Location: San Francisco
Early Bird: August 28
Availability: Open
Dat October 7 - 11
Location: San Francisco
Early Bird: September 18
Availability: Open
Dates:November 4 - 8
Location:San Francisco
Early Bird:October 16
Availability: Open
Dates:December 2 - 6
Location:San Francisco
Early Bird:November 13
Availability: Open

What Our Recent Graduates Say

This is one of the most valuable training course I've ever attended. The modeling part, logistic regression, random forest, boosting, time series, and linear regression, and text mining are very relevant to my work!

Susan
Lead Credit Risk Analyst
USAA

I came in with a passing familiarity with terms, and I left with a good understanding of the breadth of the field. The hands-on exercises provided a chance to explore and experiment. I feel like I'm ready to focus on a particular project and know what to consider and where to look for getting answers to questions.

Dave
Data Scientist
Oak Ridge National Laboratory

I came into Zero to Deep Learning with no confidence in my understanding of machine learning and deep learning. Within five days, I feel comfortable continuing my journey to put deep learning concepts into practical use. The class is fast, but you feel so energized I might consider taking it a second time!

Amanpreet
Data Analyst
Sunsweet Growers

I felt like I got a refresher to the current technologies, advantages, and disadvantages. It was a "welcome to the 21st century trailer" for me!

Snehal
Director of Engineering
Reddit

The ZTDL boot camp is the fastest way to go from a basic understanding of deep learning to a usable knowledge of building neural networks. There are some amazing things you can do with AI, and this course gives you the tools to do them.

Michael
Engineer
Gradecam

This boot camp provides a great Machine Learning overview as well as practical hands-on experience. Five days are fully packed with comprehensive material, but the instructors make it super fun!

Jiwon
Engineer
LegalMation
Meet Your Instructor

Francesco Mosconi

Francesco is the author of the Zero to Deep Learning book and founder of Catalit Data Science. He works at the cutting edge of machine and deep learning training. Clients include both startups and Fortune 500s. Francesco is a certified Google Developers Expert.

His experience includes:

  • Lead Data Science Instructor at General Assembly and The Data Incubator
  • Data Science Consultant and Trainer at Fortune 500 companies including Microsoft, Twitter, Wells Fargo, and Sony
  • Trainer at conferences including Pybay, ODSC, TDWI, AINext and MLConf
  • Chief Data Officer and co-founder at Spire, a YC company that invented the first wearable device tracking breathing
  • Joint Ph.D. in biophysics at University of Padua and Université de Paris VI

Frequently Asked Questions

Why Zero to Deep Learning?
Why a 5-day Bootcamp over online or 1-2 day trainings?
Are there any pre-requisites?
What is included in the Standard Package?
What is included in the VIP Package?
Why Python?
Why Keras?
Why Tensorflow?
What's your Refund policy?
Do you offer scholarships?
How can I convince my boss to sponsor me?
Do you offer corporate discounts?
Do you offer onsite/custom programs?

Master the fundamentals of Deep Learning

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