Certified Applied AI Professional (CAAI)

The adoption of Artificial Intelligence (AI) is expected to increase in the digital economy. Businesses are prioritizing the industrialization and professionalization of Artificial Intelligence (AI) initiatives to enhance operational efficiency and predictability. From the tackling of financial fraud, solving manufacturing automation problems to e-commerce recommendation systems. Applied Artificial Intelligence (AI) is expected to become mainstream, disrupting almost all industries and verticals.

Certified Enterprise AI Professional (CEAI)

Price range: $476.00 through $780.00

Explore Python for Enterprise AI, using its libraries to build Machine Learning, Deep Learning, NLP, and Computer Vision solutions. Engage in practical, real-world exercises to transform AI concepts into strategies and applications that drive enterprise-scale innovation.

Mode of Delivery

Batch

Time / Duration

Course Material

Clear

SKU: N/A Category: ARTIFICIAL INTELLIGENCE (AI) Tags: artificial intelligence, CEAI, chatgpt, computer vision, deep learning, generative ai, machine learning, natural language processing, neural network, nlp, python programming

Overview

Demonstrates a High Level of Expertise and Proficiency in Applied Artificial Intelligence (AI)
Global Recognition
Networking Opportunities
Career Advancement
Job Opportunities in the Digital Economy
Increase Earning Potential
Develop a strong foundation in AI technologies and critical thinking skills,

Pre-requisite

No pre-requisite. Suitable for everyone with and without prior technology experience.

Who Should Attend

Business Leaders, System Analyst, Technologist, System Engineer, IT Professionals, Consultants, Statisticians, Software Developers, Business Process Outsourcing (BPO) Professionals, Anyone interested in acquiring knowledge and skills in Artificial Intelligence (AI) or Machine Learning

Course Objective

Acquire advanced knowledge and skills on developing Artificial Intelligence (AI) models in Artificial Intelligence (AI) technologies and its application beyond just operating GEN AI tools.

Learn how to use Python Programming x GEN AI for Machine Learning, Deep Learning, Natural Language Processing (NLP) and basic computer vision.

Course Overview

The adoption of Artificial Intelligence (AI) is expected to increase in the digital economy. Businesses are prioritizing the industrialization and professionalization of Artificial Intelligence (AI) initiatives to enhance operational efficiency and predictability. From the tackling of financial fraud and solving manufacturing automation problems to e-commerce recommendation systems. Applied Artificial Intelligence (AI) is expected to become mainstream, disrupting almost all industries and verticals.

Duration: 16 Hours

Certification: Participants will receive a Certificate of Competency upon completing the course and passing the examination

Module 1 - Introduction to Applied Artificial Intelligence

What is Applied Artificial Intelligence?
Understanding the Concepts of Artificial Intelligence
Real World Applications of Applied Artificial Intelligence
Relationship Between Data Science and Artificial Intelligence
Introduction to Machine Learning, Deep Learning, and Neural Networks
Data Management and Governance for Artificial Intelligence

Module 2 - Deep Dive into Python Programming

Introduction to Python Editors and IDE
Basic Programming Rules in Python
Understanding Variables in Python – Integers, Float, and Strings
Conditional Operators and Control Loops in Python – If, Else if, For, While
Packages / Libraries in Python for Artificial Intelligence – NumPy, Pandas, SciPy, Scikit-Learn, MatPlotLib

Module 3 - Data Pre-processing and Cleaning for Applied Artificial Intelligence

Understanding the Different Types of Data
Reading and Writing Data from Various Sources
Data Preparation for Pre-processing and Cleaning
Techniques for Data Manipulation using Python Tools
Data Formatting, Normalization, and Data Encoding

Module 4 - Machine Learning Regression, Classification, and Clustering Techniques

Introduction to Regression Modelling
What is a Linear Regression Model, Multiple Linear Regression Model and Logistic Regression Model
Model Validation, Prediction and Refining of Regression Models
Key Components of Classification Models in Machine Learning
Difference Between Supervised vs. Unsupervised Classification
Classification Techniques – Decision Tree Classification, Random Forest Classification, and Naïve Bayes Classification
What is Clustering Analysis
Introduction to K-Means Clustering and Hierarchical Clustering

Module 5 - Deep Learning Techniques in Applied Intelligence

Introduction to Deep Learning
Common Deep Learning Algorithms – MLP, BM, RBM, DBN, Autoencoders
Neural Networks in Deep Learning
The main characteristics of Neural Networks
Introduction to Python TensorFlow and KERAS for Deep Learning
Developing a Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN)

Module 6 - Natural Language Processing (NLP) in Applied Artificial Intelligence

What is Natural Language Processing (NLP)?
Text Pre-processing for Natural Language Processing (NLP)
Understanding Recurrent Neural Networks
Using Recurrent Dropout to Fight Overfitting
Stacking Recurrent Layers
Using Bidirectional RNNs
Understanding 1D Convolution for Sequence Data
Combing CNNs and RNNs to Process Long Sequences

Module 7 - Computer Vision (CV) in Applied Artificial Intelligence

Introduction to Computer Vision in Applied Artificial Intelligence
What is Convnets in Computer Vision
Understanding Convolution Operation and Max Pooling Operation
Training a Convnet on a Small Dataset
Understanding the Relevance of Deep Learning for Small-Data Problems
Downloading the Data and Building the Network
Data Pre-processing and Data Augmentation
Visualizing Intermediate Activations
Visualizing Convnet Filters

This course involves extensive practical/hands-on exercises, rigorous usage of real-time case studies, role-playing and group discussion

Examination

Upon completion of the course, participants are required to attempt an examination. This exam tests a candidate’s knowledge and skills related to Applied Artificial Intelligence based on the syllabus covered.

Participants are expected to score a minimum of 70% to pass the examination

What You Can Expect

Technology-Based Training

Open-Source Tools

80% Hands-On Exercises / 20% Theory

Designed by Industry Leaders and Subject-Matter Experts

Progressive Learning

Highly interactive, supportive and encouraging

Be recognized as a CASUGOL Certified Professional

What Learners Say

Excellent

CASUGOL4.9

Janice Hermosa Quiros

The course did not only provide a simplified but complete framework to use in any Digital Transformation journey but we were also shared with real industry experiences on a lot of Digital Transformation projects.

Camille Gaudi

Very relevant and collaborative training. The instructor is very attentive to the participant's needs and answers all their queries.Casugol offers not only workshops,but a chance to get to know other people in the industry and allows you to build a network and belong to a digital community.It is a pleasure to be part of this community. More power to Casugol Team!

Mark Joseph Zabala

The SDTL course was concise, well‑organized, and highly practical. The templates and frameworks were straightforward yet impressively precise, making the concepts easy to understand and apply in real-world situations. It was also very helpful in strengthening a leader’s perspective on Digital Transformation. Overall, the program delivered strong value and offered an excellent balance of clarity, depth, and practicality.

koen de wit

I wanted to expand my horizon and open myself to a new way of thinking about digital transformation. It certainly more than overdelivered

David Mould

Peesa Choomsawasdi

Enjoyed the class, insightful and pragmatic.

Ahmad Tariq Ahmad Ziyad

Thanks Dwayne for teaching us the CASUGOL Digital Transformation Framework. After the class, it makes me can't wait to start to many potential area of improvements in my company internally and externally on our Digital Transformation journey

Kuchai

Very exciting course to be joined by others in AI era.

Joel Sebastian

Marshall Tommie Lajawai

Great training experience!

Auriel Anthony

Thank you CASUGOL for coming all the way to Sabah, East Malaysia at Sabah Credit Corporation. Had amazing digital transformation training with CASUGOL!

cordon scc

great learning experience and learn more about digital transformation. Also great speaker

Jeamron Arat

Attended CASUGOL's CDTP training and learned a lot about the Digital Transformation framework and core principles which can be applied on the job. Plenty of real-world examples and active discussion during the trainings.

Kira Chan

toni gasang

Innocelzever Abdon

I've enjoyed the whole 2-day training as Dwayne kept it light and fun while being an educator at the same time, it made my experience memorable and informative

Japhet Moraleja

Ian Curt Sarmiento

Great way of sharing expertise and knowledge in small steps but big meaning change.

Patricia Caldito-Lim

Casugol provides a better understanding on how to leverage well on Artificial Intelligence. I've a learned a lot on a 1-day session. Thank you!

Kavilashini Alagenthran

Tiwi Harefa

Raihan Muhammad Iqbal

vira agatha

It was really fun to follow the casugol training, the lessons were easy to understand

Hanna Yunita

Nurianda Wulandari

Terimakasih untuk pembelajarannya selama ini, semoga ilmu yang di berikan bermanfaat bagi semua org

Liza Sinaga

ryanlau terate22

Anita Romauli Simamora

During this training, I gained a lot of valuable experience, both in terms of knowledge, skills, and work attitudes. The material presented is very relevant to the needs of the world of work, and is presented in an interactive and easy-to-understand manner.

Wahyu Syaputra

Saya sangat senang mengikuti materi pembelajaran seminar ini

Ecah Herlina

The class is very good

vioretta angela

stephanie

so fun experience! thanks to mr. Dwayne

Elvis

Victor Octarino

Valent G

Glae Disya

Nice place to learn

Nsalim batam

Myoui Aldo Cho

Sundi Centuria

Andira Nasaruddin

Aurell

Putri Mayang

The class was very enjoyable and the material was meaningful

Reza Seri Rahayu Saputri

Febby aulya putri

Good Job

Amaliyaa Nur

good experience

Tania Ridha

Artificial Intelligence Shorts

Quick lessons on a wide range of topics related to Artificial Intelligence (AI). Learn pragmatic tips on Artificial Intelligence (AI) deployment strategies, and acquire technical insights that can easily be applied in different scenarios.

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Certified Applied AI Professional (CAAI)