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ML&AI : Machine Learning and Artificial Intelligence

Course Only TRAINING ONLY
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Overview

This course focuses on the practical aspects of Machine Learning, Deep Learning and Artificial Intelligence. The objective is to make use of TensorFlow for various types of neural networks. The participants will build and train deep learning models.

Audience Profile

The intended audience for this course:
- Data Engineers
- Data Scientists
- Machine Learning Engineers
- Integration Engineers
- Architects
 

Prerequisities

Participants should preferably have some hands-on experience on Python

At Course Completion


Course Outline

+- Module 1: Understanding the Big Picture Click to collapse
+- Module 2: GCP Introduction Click to collapse
+- Module 3: Getting holistic view: Architectures and Pipelines Click to collapse
+- Module 4: Machine Learning APIs Click to collapse
+- Module 5: Environment for Experiments Click to collapse
+- Module 6: Key Statistics Click to collapse
+- Module 7: Data Visualization Click to collapse
+- Module 8: Acquiring & Preparing Data Click to collapse
+- Module 9: Feature Engineering Click to collapse
+- Module 10: Machine Learning using Scikit Learn Click to collapse
+- Module 11: Supervised Machine Learning Click to collapse
+- Module 12: Un-Supervised Machine Learning Click to collapse
+- Module 13: Spark Introduction Click to collapse
+- Module 14: Spark SQL Click to collapse
+- Module 15: Spark Machine Learning Click to collapse
+- Module 16: Introduction to Deep Learning Click to collapse
+- Module 17: Artificial Neural Network Click to collapse
+- Module 18: TensorFlow API Click to collapse
+- Module 19: Convolutional Neural Networks (CNN) Click to collapse
+- Module 20: Interactive Data exploration using DataLab Click to collapse
+- Module 21: CloudML: Scalable Models on GCP Click to collapse
+- Module 22: Conversational AI Click to collapse
RM6,800.00(+RM544.00 Tax)
* Training Dates:

* Price excludes Exam

Course Information
DURATION
5 Days
Schedule

29 Jan 2024 - 2 Feb 2024 (Penang Date)

18-22 Mar 2024

22-26 Apr 2024 (Penang Date)

24-28 Jun 2024

22-26 Jul 2024 (Penang Date)

23-27 Sep 2024

21-25 Oct 2024 (Penang Date)

9-13 Dec 2024
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