# build your AI skills: beginner to expert;

aiplus.build(_name)

aiplus.train(_name)

aiplus.test(_name)

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Free Access to the Deep Learning Bootcamp ($699 value) with ODSC Mini Bootcamp Ticket

21 Hours of Online Instructions over only 6-Weeks

Special offer ends friday: View DEAL

*Valid for new subscribers only. Offer ends July 6.

Hands-on training in:

MACHINE LEARNING

DATA SCIENCE

DEEP LEARNING

DATA ANALYTICS

DATA ENGINEERING

NLP & NLU

RESPONSIBLE AI

CYBERSECURITY

COMPUTER VISION

ROBOTICS

Using the latest AI languages, tools, and frameworks

CONFERENCE TRAINING

Don’t miss the biggest training event of the year from the leading data science conference :

ODSC West 2022

Early Bird Offer Ends Soon

JULY LIVE TRAINING

July 26th

Data wrangling is an essential foundational topic for anyone considering projects or a role in data engineering, data science, or machine learning. This session will help one understand core data-wrangling concepts including what is data, data generation and collecting, data profiling, data transformation, data manipulation, and other essential workflow topics.

As this is an interactive training session, in addition to covering these data topics, we will layer on SQL and an introduction to relational databases. With this foundational understanding, you will not only have job-ready data skills but you will be better position to proceed to other introductory-level courses in data analysis, programming, data science, and machine learning.

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BEGINNER

AUGUST LIVE TRAINING

August 24th

Learn the basics of building a PyTorch model using a structured, incremental and from first principles approach. Find out why PyTorch is the fastest growing Deep Learning framework and how to make use of its capabilities: autograd, dynamic computation graph, model classes, data loaders and more. The main goal of this training is to show you how PyTorch works: we will start with a simple and familiar example in Numpy and “torch” it! At the end of it, you should be able to understand PyTorch’s key components and how to assemble them together into a working model.

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BEGINNER

ON DEMAND TRAINING

Taught by renowned, expert instructors:

LIVE TRAINING: June 10th, 2021

Part 2: Computer Science

Through the measured exposition of theory paired with interactive examples, you’ll develop a working understanding of all of the essential data structures across the list, dictionary, tree, and graph families

LIVE TRAINING: JUNE 15th, 2021

Matt Brems will cover introduction to Natural Language Processing including cleaning text data, transforming data with CountVectorizer and and TFIDFVectorizer as well as how to Fit machine learning models in scikit-learn and evaluate their performance. You will also learn how to build pipelines and GridSearch over NLP hyperparameters.

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ON-DEMAND BOOTCAMP

This 6-courses Bootcamp is an introduction to deep neural networks that brings high-level theory to life with working, interactive examples featuring TensorFlow 2, Keras, and PyTorch — all three of the principal Python libraries for deep learning. Essential theory will be covered in a manner that provides students with a complete intuitive understanding of deep learning’s underlying foundations.

Paired with hands-on code demos in Jupyter notebooks as well as strategic advice for overcoming common pitfalls, this foundational knowledge will empower individuals with no previous understanding of artificial neural networks to build production-ready deep learning applications across all of the contemporary families

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On-Demand training

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Certificates & Bootcamps

Live training student experience

Time Series Forecasting with Python

All clear and well explained by our very knowledgable instructor, Marta. This was all extremely applicable to my job. Wish this was a full day instead as Marta had a lot of amazing content. Thanks to the instructor and organizers.

Micheleen Harris

Senior Data Scientist

Hands-On Intro to Unsupervised Learning

I had a bit of previous experience with some of the techniques and was looking for more in-depth. Got all I wanted. Ankur has a great presentation style and excellent examples. I particularly appreciated Ankur’s answers to my numerous questions. Those answers alone were worth the price because they provided insight into real-world applications of these models. I also liked the use of live demo in the TensorFlow projector to visualize the results of every algorithm. Will adopt it right away.

Michael Livshutz

Technical Business Analyst

NLP Fundamentals in Python

Matt took us through difficult terrain with ease, making sure everybody was on the same page throughout. Really great teaching! Incredibly useful!

Huw Hallam

Senior Data and Insight Analyst

Advanced Fraud Modeling

Aric is a great teacher and the entire class was structured very well. I learned a lot of new interesting techniques. A mix of lecture and live coding with real-time incorporation of student feedback and questions into the class. Best for intermediate to advanced data folks because it assumes you know some Python. I would highly recommend if you have an interest to learn fraud.

Shery Cheong

Data Scientist

Practical Advanced Pandas

I like the hands-on approach to teaching the additional techniques of Pandas, and I greatly appreciate the availability of the course’s code for me to review later.

Tyrel Cherry

System Engineer

The #1 Machine Learning Mini-Bootcamp

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