view plans
TRY FOR FREE

AI Training

# build your AI skills: beginner to expert;

aiplus.build(_name)

aiplus.train(_name)

aiplus.test(_name)

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

Taught by renowned, expert instructors:

Live training

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.

Enroll
Enroll

LIVE TRAINING: SEPTEMBER 30TH

Have you ever wondered how those data scientists at Facebook and LinkedIn make friend recommendations? Or how epidemiologists track down patient zero in an outbreak? If so, then this tutorial is for you. In this training session, we will use a variety of datasets to help you understand the fundamentals of network thinking, with a particular focus on constructing, summarizing, and visualizing complex networks.

Enroll

LIVE TRAINING: OCTOBER 6TH

This hands-on course is organized into four lessons. In lesson one, we will provide an introduction to NLP, reviewing its evolution over the past 70 years. In lesson two, we will introduce two more popular open-source NLP libraries (fast.ai and Hugging Face) and perform state-of-the-art NLP. In lesson three, we will retrace how NLP advanced over the last decade and experienced its breakout moment in 2018. In lesson four, we will put this theory to practice and develop our own named entity recognition and text classification models using spaCy.

Enroll

LIVE TRAINING: OCTOBER 12TH

In this live training you will understand object model of Python and get familiar with basic data structures. You will also build functions and classes to aid in data science work in this 4-hour hands-on live session.

Enroll

LIVE TRAINING: OCTOBER 21ST

By the end of this live, hands-on, online course, you’ll understand: What MLOps is, how to get started using MLOps and best practices for MLOps. You’ll be able to: Perform Continuous Integration for Python ML Projects, use the AWS Cloud for MLOps development, create Containerized workflows for MLOps, create Flask and CLI Services for Python ML Projects.

 

Enroll

LIVE TRAINING: OCTOBER 28TH

You’ll understand in detail how Gradient Boosting models are fit as an ensemble of decision trees and apply that understanding to the feature engineering process, the various parameters of Gradient Boosting and their relative importance and how to appropriately choose them and gain familiarity with the various Gradient Boosting packages and the capabilities, strengths, and weaknesses of each. You will also learn how to interpret, understand, and evaluate a model: both qualitatively and quantitatively.

 

Enroll

LIVE TRAINING: DECEMBER 14TH

After this 4-hour session,you will have a foundation to carry out PRACTICAL, real-life social media mining. By taking this course, you are taking an important step forward in your data science journey to become an expert in harnessing the power of social media for deriving insights and identifying trends. This course will help you gain fluency both in the different aspects of text analysis and NLP working through a real-life example of cryptocurrency tweets, Wall Street Bet Reddit posts, restaurant reviews and financial news using a powerful clouded based python environment called GoogleColab.

Enroll

On-Demand training

view all on-demand training courses

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
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
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
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
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
Tyrel Cherry
System Engineer
Open Data Science

Ai+ | ODSC
One Broadway, 14th Floor
Cambridge, MA 02142
admin_aiplus@odsc.com

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from Youtube
Vimeo
Consent to display content from Vimeo
Google Maps
Consent to display content from Google