Certified Deep Learning Engineer

Certified Deep Learning Engineer


Course Date

Couse Duration : 5 Days


Upon completion of this program, candidates should be able to:

Build artificial neural networks with Tensorflow and Keras
Classify images, data, and sentiments using deep learning
Make predictions using linear regression, polynomial regression, and multivariate regression
Data Visualization with MatPlotLib and Seaborn
Implement machine learning at massive scale with Apache Spark’s MLLib
Understand reinforcement learning – and how to build a Pac-Man bot
Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naïve Bayes, and PCA
Use train/test and K-Fold cross validation to choose and tune your models
Build a movie recommender system using item-based and user-based collaborative filtering
Clean your input data to remove outliers
Design and evaluate A/B tests using T-Tests and P-Values


Who Should attend -Certified Deep Learning Engineer

Developers aspiring to be an Artificial Intelligence Engineer or Machine Learning Engineer
Analytics Managers who are leading a team of analysts
Information Architects who want to gain expertise in Artificial Intelligence algorithms
Analytics professionals who want to work in machine learning or artificial intelligence
Graduates looking to build a career in Artificial Intelligence and machine learning
Experienced professionals who would like to harness Artificial Intelligence in their fields to get more insight

Course Prerequisites

You'll need a desktop computer (Windows, Mac, or Linux) capable of running Anaconda 3 or newer.

The course will walk you through installing the necessary free software.
Some prior coding or scripting experience is required.
At least high school level math skills will be required.



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