New York (NYC) - Midtown Manhattan - Park Ave.

E48-49th (Grand Central), 299 Park Avenue, New York City, United States, 10171

The venue is located in between the Waldorf Astoria and J.P. Morgan and Chase.

New York (NYC) - Midtown Manhattan - Madison Ave.

E38-39th, 260 Madison Ave., New York, United States, 10016

The venue is located just opposite of Madison Av & E 38 St bus stop and Zuma NYC, in the same building as Chase Bank.

Subcategories (10)

Explore Our Courses

Introduction to Pre-trained Models

14 Hours

Advanced Machine Learning Models with Google Colab

21 Hours

Creating Custom Chatbots with Google AutoML

14 Hours

Optimizing AI Models for Edge Devices

14 Hours

Building AI Solutions on the Edge

14 Hours

Edge AI with TensorFlow Lite

14 Hours

AI-Powered Autonomous Systems

21 Hours

AI-Enhanced Yield Management in Semiconductor Production

14 Hours

Advanced AI Techniques for Semiconductor Design Automation

21 Hours

AI-Driven Process Optimization in Chip Fabrication

14 Hours

Apache Airflow for Data Science: Automating Machine Learning Pipelines

21 Hours

Advanced Stable Diffusion: Deep Learning for Text-to-Image Generation

21 Hours

AI-Powered Cybersecurity: Advanced Threat Detection & Response

28 Hours

Machine Learning with Google Colab

14 Hours

AI-Powered Cybersecurity: Threat Detection & Response

21 Hours

AlphaFold

7 Hours

Data Mining with Weka

14 Hours

Advanced Analytics with RapidMiner

14 Hours

Introduction to Stable Diffusion for Text-to-Image Generation

21 Hours

Machine Learning with Python – 2 Days

14 Hours

Machine Learning with Python – 4 Days

28 Hours

AdaBoost Python for Machine Learning

14 Hours

AutoML with Auto-Keras

14 Hours

AutoML

14 Hours

Machine Learning

21 Hours

Pattern Recognition

21 Hours

DataRobot

7 Hours

Feature Engineering for Machine Learning

14 Hours

Fundamentals of Artificial Intelligence (AI) and Machine Learning

28 Hours

Google Cloud AutoML

7 Hours

Machine Learning Algorithms in Julia

21 Hours

Kubeflow

35 Hours

Kubeflow Fundamentals

28 Hours

Kubeflow on AWS

28 Hours

Kubeflow on Azure

28 Hours

Mathematica for Machine Learning

14 Hours

Machine Learning for Banking (with Python)

21 Hours

Machine Learning and Big Data

7 Hours

Machine Learning Concepts for Entrepreneurs and Managers

21 Hours

Machine Learning for Finance (with Python)

21 Hours

MLflow

21 Hours

Machine Learning Fundamentals with Scala and Apache Spark

14 Hours

Introduction to Machine Learning

7 Hours

Machine Learning on iOS

14 Hours

Machine Learning for Mobile Apps using Google’s ML Kit

14 Hours

Machine Learning in business – AI/Robotics

14 Hours

Machine Learning for Robotics

21 Hours

Pattern Matching

14 Hours

Machine Learning with Random Forest

14 Hours

RapidMiner for Machine Learning and Predictive Analytics

14 Hours

Tensorflow Lite for Microcontrollers

21 Hours

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Testimonials (23)

Upcoming Courses

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