Deep Learning

EDS Deep_Learning_WBG.png

Master the highest form of machine intelligence developed by humans so far. Learn how to get machines to solve complex problems without being explicitly programmed to do so.

Best suited for system developers who want to significantly expand your organization’s technology capabilities.

Duration:
3 days

There is more to data than what meets the eye. Jump in the deep end of AI.

Deep Learning is an essential skill that increases productivity and problem-solving capacity by digging deeper into data patterns with neural networks. Take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career.

unsplash-image-376KN_ISplE.jpg

Significantly expand business capabilities.

Deep Learning, also known as deep neural learning or deep neural network, is an aspect of artificial intelligence that depends on data representations rather than task-specific algorithms. It allows the user to run supervised, semi-supervised, and unsupervised learning.

unsplash-image-0E_vhMVqL9g.jpg

Towards       human-machine collaboration.

Deep Learning is a course where you build, train, and apply neural networks to predict outcomes.

You can solve more complex problems with efficiency surpassing shallow machine learning methods.

Deep Learning is becoming an essential skill that increases productivity and problem-solving capacity. The course utilizes Keras in Tensorflow 2.0 framework.

unsplash-image-6NUlOHM40w8.jpg

Develop broader, more in-depth solutions.

Deep Learning is an essential skill that increases productivity and problem-solving capacity by digging deeper into data patterns with neural networks.

Best suited for analysts, data scientists, and business intelligence professionals who want to perform in-depth analytics on a massive amount of data.

Learning Outcome

Upon completion, participants should be able to demonstrate each of the following;

  1. Understand, Build, and Apply Artificial Neural Networks and their first form (Fully Connected Neural Networks) and distinguish its difference and capabilities from other Neural Network architectures.
  2. Understand, Build, and Apply Convolutional Neural Networks to real-world problems and distinguish their capabilities and structure from Fully Connected Networks and Recurrent Neural Networks.
  3. Understand, Build, and Apply Recurrent Neural Networks and distinguish their capabilities and structure from Fully Connected Layers and Convolutional Neural Networks.

Learning Path

Deep Learning is one of the modules under the CADS Enterprise Data Scientist (EDS) Programme. EDS is a 23-26 days training program that super-charges Business Data Scientists with new skills to analyze and communicate insights effectively.

CADS Certification

Each exam in this program certifies job-ready knowledge and skill. Those that pass all are recognized as being able to distil insight from data and communicate its value to a decision-maker. Enter the world of Data Professionals.

MAX AI