Why Zero to Deep Learning?
If you need to learn the foundations of Machine Learning and Deep Learning comprehensively and quickly, our 5-day Bootcamp is for you. It balances breadth and depth, and delivers you an immersive full-time introduction to cutting-edge ML and DL techniques using Python, Keras and Tensorflow.
Who should attend?
Software Engineers, Software Engineering Managers, and Data Analysts seeking to upskill in Machine Learning & Deep Learning.
Machine Learning with Scikit
Recognize where to use ML
Select best techniques
Manipulate data with Pandas
Visualize data with Matplotlib
Solve regressions & classifications
Evaluate model performance
Serve models with Flask & Heroku
Deep Learning with Keras
Understand DL fundamentals
Build Fully Connected Neural Networks
Train Convolutional Neural Networks
Design Recurrent Neural Networks
Leverage Dropout & Batch Norm
Use GPUs to train faster
Deep Learning with Tensorflow
Discover why TensorFlow is popular
Turn Keras models into Estimators
Debug models with Eager Execution
Scale to large dataset with Data API
Learn about Core API
Tune performance with Tensorboard
Deploy models using cloud services
Applications you will build
Predict the price of a house
Detect language of a text
Recognize an object in an image
Classify the sentiment in a sentence
Forecast future energy consumption
Deploy an API that predicts phone
location from wifi signal
What our recent graduates say
Manager Cloud Engineering, multi $B Healthcare company
“The course is great. A lot of fantastic material packed into a short time. It’s really interactive - a lot of labs, lots of experimentation - the things that really help you learn. You go from just knowing basic programming in Python, to feeling comfortable in a deep learning framework in one week... The course is different from other trainings - more hands-on and truly expert instructors with real world knowledge who are able to transfer that to you. Zero to Deep Learning is absolutely worth going to - financially and time wise.”
Chief Data Officer, Leading web data analytics company
“Attended all of the workshops. Probably some of the best instruction I have ever received. The materials are nicely balanced between theory and practice. The teaching style is dynamic and participatory and the quality of classroom discussion is very high. I got a lot out of this.”
Senior Applied Engineer, Fortune 500 Tech company
“This bootcamp is a perfect mix of high level concepts, theory and practice. Francesco does a great of job of first explaining the various concepts in a condensed manner, then seamlessly transitioning into practical labs where you can straight away apply what you’ve learnt... the good part is it is catered to a diverse audience - you may be at different levels of python or may have done deep learning courses before- but this course really lets you practice all of it in one place, and gather what is state of the art right now.”
Holiday Ended Jan 11
Super Early ended Feb 1
Early Bird Ended Feb 15
Late Bird Ended March 1
Standard Ended March 8
Last Promo Ended March 15
Register to find out when we launch new dates and locations
Why attend this Bootcamp
To quickly develop your practical skills in Machine and Deep Learning
You’re stuck with online training and want to develop your practical skills
5 dedicated days to focus on learning ML and DL
You work in a company where ML and DL is becoming increasingly important, and you need to develop a relevant skill set
You are working in a project, or have an upcoming project which requires ML and DL skills
You are a manager and need a robust understanding of ML and DL to manage your team
Want to access new career opportunities or promotions
Our participants range from Fortune 500 companies to start-ups. We regularly conduct in-house trainings at the top tech companies in the world.
Our trainings run for
5 consecutive days giving
you focused time to learn.
You learn best by doing.
Our trainings are 50% theory, 50% practical.
You will code from the first session
with in-person support.
Guest lectures from global experts,
labs with personalized troubleshooting -
we optimize the training to accelerate
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.
His experience includes:
• Lead Data Science instructor at General Assembly and The Data Incubator
• Trainer at conferences including Pybay, ODSC, TDWI, AINext
• Chief Data Officer and co-founder at Spire, a YC company that invented the first wearable device tracking breathing
• Joint PhD in biophysics at University of Padua and Université de Paris VI
Francesco was great in designing and delivering this course with a great team participation. The course has well balanced theory and hands on practical coding sessions. Really like the impromptu ‘competitions' which kept us engaged and learning. Thoroughly enjoyed and highly recommend this course for anyone who wants to take their ML knowledge to next and practical level.”- Ramesh D.
Frequently Asked Questions
+ Why Zero to Deep Learning?
You will be hands-on from the first session. Our curriculum is an ideal mix of theory and practical, refined over 50 trainings. We deliver content in an engaging, fun and practical way, and our graduates commonly tell us Zero to Deep Learning is one of the best trainings they have ever attended.
+ Why a 5-day Bootcamp over online or 1-2 day trainings?
There are many great online courses. Though our students repeatedly tell us online trainings can only develop your practical skills so far. They require discipline to focus and stay on task, with continual distractions from your work, your boss, your family. Short 1-2 day courses are also useful, though immersive 5-day trainings accelerate your skill development the fastest. This is why our course is structured to provide you 5-days of dedicated focus where your work and personal life align to give you the required space to learn. Combined with and our immersive learning environment, you will maximize your practical skill development.
+ Are there any pre-requisites?
~1 year of experience in Python and basic knowledge of linear algebra.
We ask you to self-rate your Python experience in the application. Once you're registered, we will send you pre-work to help you prepare for Bootcamp.
+ What is included in the training?
- 5-days in-person training led by Francesco Mosconi, expert ML and DL trainer
- Customized hands-on labs developed to maximize your learning
- Ability to download your labs at the end of the training
- Access to a cloud GPU during the training and for 2-weeks afterwards
- Expert advisory on your project between 5-6pm Mon-Thurs of the Bootcamp
- Self-directed pre-work program to develop your Python skills (if required)
- Live Slack support during the Bootcamp
- Membership of the Zero to Deep Learning Slack and Facebook community to help with any challenges you're facing, and posting of career opportunities
- One copy of the Zero to Deep Learning book
- Breakfast, lunch, all-day refreshments
- A really fun 5-days!
+ Why Python?
Python is the standard in data science and machine learning. It has a very mature set of libraries and a large user base. It's easy to learn and it's a full stack programming language that caters to data scientists and software engineers. You can build anything with Python.
+ Why Keras?
Keras is the simplest deep learning library for Python and it is fully integrated with Tensorflow. It allows for easy and fast prototyping, it supports most popular model types, and it comes with lots of tools to make deep learning approachable and fun
+ Why Tensorflow?
Tensorflow is the most popular machine learning and deep learning library and it allows to perform deep learning at scale. It is conceived for Google-size datasets and deployments and it has both a high-level and low-level API. It's ecosystem includes much more than neural networks, spanning from probability models to decision trees.
+ What's your Refund policy?
The following policy is applied to cancellations:
Full refund of registration up to 30 days before first day of course
50% refund between 7-30 days before first day of course for a cancellation. Transfer to another course at the discretion of Zero to Deep Learning with the charge of a transfer fee
0% refund within 7 days of course for a cancellation. Transfer to another course at the discretion of Zero to Deep Learning with the charge of a transfer fee