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Unlock your full potential. Upskill with in-demand AI skills

7 days free. No commitment.

Live and on-demand  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:

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LIVE TRAINING: October 13th

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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Data literacy is fundamental to mastering many areas of AI including data science, machine learning, deep learning and data engineering. This fast paced but comprehensive tutorial will introduce you to fundamental data concept that will help you grasp underlying concepts and serve as a foundation course and prerequisite to more advanced machine learning and data science topics. Over 5 lessons you will learn the language of data and better understand the data life cycle and its role in building machine learning models.

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TOP RATED ON-DEMAND BOOTCAMP

AVAILABLE ON-DEMAND 

This 6-weeks Bootcampis  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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Taught by renowned, expert instructors:

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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
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

The #1 Machine Learning Mini-Bootcamp

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