Certified Artificial Intelligence Practitioner
Code | Available Dates | Places & Fees | Registeration | ||||||
| |||||||||
| |||||||||
| |||||||||
| |||||||||
| |||||||||
| |||||||||
1- Online Training...with international accreditation. The value of participation per person is €1,450
2-Requirement : specifying the course, number of participants
implementation date, and joint coordination.
Group contracting ... 20% Discount For Each Participant In Any Group Of Five Person Or More
Other Places To Hold The Course :
KualaLumpur.. Istanbul.. Dubai.. Cairo.. Riyadh.. Jeddah.. Abu Dhabi.. Doha.. Muscat.. Sharm El Sheikh.. Kuwait.. Tripoli.. Amman.. Beirut.. Damascus.. Tunisia.. Casablanca.. London.. Paris.. Barcelona.. Amsterdam.. Brussels
Certified Artificial Intelligence Practitioner
Introduction :
Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This Certified Artificial Intelligence Practitioner™ (CAIP) training course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions.
Course Objectives :
At the end of this course, the participants will be able to :
- Solve a given business problem using AI and ML.
- Prepare data for use in machine learning.
- Train, evaluate, and tune a machine learning model.
- Build linear regression models.
- Build forecasting models.
- Build classification models using logistic regression and k -nearest neighbor.
- Build clustering models.
- Build classification and regression models using decision trees and random forests.
- Build classification and regression models using support-vector machines (SVMs).
- Build artificial neural networks for deep learning.
- Put machine learning models into operation using automated processes.
- Maintain machine learning pipelines and models while they are in production.
Targeted Audience :
Course Outlines :
Day One :
Solving Business Problems Using AI and ML
- Identify AI and ML Solutions for Business Problems
- Formulate a Machine Learning Problem
- Select Approaches to Machine Learning
Preparing Data
- Collect Data
- Transform Data
- Engineer Features
- Work with Unstructured Data
Day Two :
Training, Evaluating, and Tuning a Machine Learning Model
- Train a Machine Learning Model
- Evaluate and Tune a Machine Learning Model
Building Linear Regression Models
- Build Regression Models Using Linear Algebra
- Build Regularized Linear Regression Models
- Build Iterative Linear Regression Models
Building Forecasting Models
- Build Univariate Time Series Models
- Build Multivariate Time Series Models
Day Three :
Building Classification Models Using Logistic Regression and k-Nearest Neighbor
- Train Binary Classification Models Using Logistic Regression
- Train Binary Classification Models Using k-Nearest Neighbor
- Train Multi-Class Classification Models
- Evaluate Classification Models
- Tune Classification Models
Building Clustering Models
- Build k-Means Clustering Models
- Build Hierarchical Clustering Models
Building Decision Trees and Random Forests
- Build Decision Tree Models
- Build Random Forest Models
Day Four :
Building Support-Vector Machines
- Build SVM Models for Classification
- Build SVM Models for Regression
Building Artificial Neural Networks
- Build Multi-Layer Perceptrons (MLP)
- Build Convolutional Neural Networks (CNN)
- Build Recurrent Neural Networks (RNN)
Day Five :
Operationalizing Machine Learning Models
- Deploy Machine Learning Models
- Automate the Machine Learning Process with MLOps
- Integrate Models into Machine Learning Systems
Maintaining Machine Learning Operations
- Secure Machine Learning Pipelines
- Maintain Models in Production
European Business Center Training Methodology :
Our training work is presented in a professional and attractive manner.. Interspersed with interceptive information to renew attention throughout the training period… We aim with this method to train the listener and interact… In addition to practical applications that target the direct skills and knowledge required to be achieved.. It is presented to the trainees in more than one way.. Practical exercises and applications.. Surveys and questions.. A training strategy has been adopted based on pairing between the theoretical and the professional and between the local and the global.
What Does The Participant Get From The Course?
Each participant obtains an internationally accredited training certificate from the European Business Center for Training and Development … which has the ISO certificate in quality No. 900/2015 from the English international company UCAS .. and receives a training bag containing the scientific material via an electronic flash … in addition to an enjoyable and useful training that is reflected Positive and developmental for individuals and the institution
Note :
We can implement the training course in any of the cities referred to in this course..at the appropriate and required time for the trainees..through joint coordination with the training department at the center..the training is implemented in a distinctive manner according to the best quality standards so that we meet all training requirements and needs.
International Accreditations
European Business Center for Training and Development has obtained international and official accreditations with the highest and best international levels scientifically and technically, which reflect the level of outstanding performance in our training work.. so that it achieves what each participant aspires to by obtaining the best certificates with officially approved scientific and technical standards.
