Certified Applied Artificial Intelligence Professional (CAAI) - Self-paced (4 Weeks)
Details
- Duration: 3 Days / 24 Hours
- Certification: Participants will receive a Certificate of Competency upon completing the course and passing the examination
- Acquire advanced knowledge and skills in artificial intelligence and its application.
- Learn how to use Python Programming language for Machine Learning, Deep Learning, Natural Language Processing (NLP) and basic computer vision.
- Suitable for everyone with and without prior technology experience.
- Learners are encouraged to complete Python Programming Essentials (PPE), or Data Analytics Essentials (DAE) before enrolment.
- Participants are required to attempt an examination upon completion of the course. This exam tests a candidate’s knowledge and skills related to Artificial Intelligence, Machine Learning, and Python Programming based on the syllabus covered
- Participants are expected to score a minimum of 70% to pass the examination
Outline
- 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
- 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
- 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
- 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
- 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)
- 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
- Visualizing Convnet Filters
Speaker/s
“The duty of helping one’s self in the highest sense involves helping of one’s neighbours” – Samuel Smiles
Based in Singapore, CASUGOL is an international certification body offering a wide-range of professional training and certification programs designed for all industries and verticals.
Participants attending our programs will develop the skills and knowledge in their chosen area of professional, personal or academic interest. Programs are constantly reviewed by educators who are industry experts in their chosen field to ensure that they remain current, relevant and consistently high quality.
CASUGOL strives to be a contemporary international neighbourhood where individuals gather to learn, be inspired, share ideas, knowledge, and resources to acquire all that necessary to pursue and advance in a career of their passion. Training and certification programs are also being offered in Malaysia, India, Philippines, Singapore, Vietnam, Australia, Nigeria, South Africa, and Uganda through global Certified Training Partner (CTP) network.
Empowering people to be their best by making education, knowledge, and resources accessible has always been our commitment. With programs that cover a diverse range of interests, participants can certainly learn update their knowledge, gain new skills, or unleash their creativity. ...