Artificial Intelligence Expert Certificate CAIEC cover image

Artificial Intelligence Expert Certificate CAIEC

Duration: 2 Days

AI is transforming many industries and changing the world. From effective web searches and speech recognition to self-driving cars, machine translation, natural language processing, and more.Expand your knowledge in artificial intelligence, machine learning, and deep learning.Master the basics of neural network architecture and the strengths of the many libraries and tools you'll have at your disposal, such as Python and TensorFlow, among many others. Learn about the most effective machine learning techniques and practice implementing them and make them work on their own. Understand the capabilities, challenges, and consequences of deep learning and prepare to participate in the development of cutting-edge AI technology.Take the ultimate step into the world of AI, acquire the knowledge and skills to level up your career.
Learning Objectives:
  • Understand the fundamental keys of the deep

learning approach

  • Master the theoretical and practical foundations of neural network architecture and convergence
  • Represent different existing fundamental architectures and master fundamental

implementations

  • Master methodologies for configuring neural networks, the strengths and limitations of existing tools and libraries (pandas, numpy, scikit-learn)
Target Audience:

Engineers, analysts, marketing managers, data analysts, data scientists, data stewards, and anyone interested in data mining and machine learning techniques

Prerequisites:

There are no formal prerequisites for this certification.

Course Outline 
Deep Learning Fundamentals     
  

I.1 Representing Neural Networks

I.2 Nonlinear Activation Functions

I.3 Hidden Layers

I.4 Guided Project: Building A Handwritten Digits Classifier

  • Machine Learning Project

II.1 Machine Learning Project Walkthrough: Data Cleaning

II.2 Machine Learning Project Walkthrough: Preparing the Features

II.3 Machine Learning Project Walkthrough: Making Predictions

Key Points

III. Kaggle Fundamentals                          

Kaggle Fundamentals

III.1 Getting Started with Kaggle

III.2 Feature Preparation, Selection and Engineering

III.3 Model Selection and Tuning

III.4 Guided Project: Creating a Kaggle Workflow

  • TensorFlow Concepts

IV.1 Presentation of TensorFlow

IV.2 TensorFlow Basics

IV.3 Classification of Neural Network in TensorFlow

IV.4 Linear Regression in TensorFlow

  • Keras Basis

ARTIFICIAL INTELLIGENCE EXPERT CERTIFICATE CAIEC®

  • Keras Basis

V.1 Kears Layers

V.2 Deep Learning with Keras Implementation and Example

V.3 Keras Vs Tensorflow – Difference Between Keras and Tensorflow

  • References