About this Event
For more information: https://casugol.com/course/cmle
International Acclaimed Certification. 5-Star Reviews
Suitable for everyone. Learn in an Interactive, Supportive, and Encouraging Environment.
- Duration: 16 Hours
- Certification: Participants will receive a Certificate of Competency upon successfully completing the course and passing the examination
Course Objective
- Acquire advanced knowledge on how to use Gen AI x Python Programming to apply powerful Artificial Intelligence / Machine Learning techniques to gain real-world insight.
- Learn how to apply Artificial Intelligence / Machine Learning techniques to analyze and organize patterns, trends, and data to make accurate real-world predictions.
Examination
Participants are required to attempt an examination upon completion of 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
MODULE 1 - Introduction to Artificial Intelligence and Machine Learning
- What is Artificial Intelligence (AI)?
- Concepts of Machine Learning
- Data and Machine Learning
- Real-World Applications of Machine Learning
- How Machine Learning Works
- ChatGPT, Gen AI and the Future of Machine Learning
MODULE 2 - Data Structures & Managing Data Using Python
- Data and Data Types
- Deep Dive into Python Programming
- Variables and Operators in Python Programming
- Data Vectors and Data Frames
- Reading and Writing Data Files to Python
- Communicating with Database via Python
- Executing SQL Using Python
- Joining Structured & Semi Structured Data with Python
- Big Data Concepts & Application of Python
MODULE 3 - Exploring Data Using Python Programming
- Introduction to Exploratory Data Analysis
- Data Visualization using Python Matplotlib and Seaborn
- Plotting, Charting, and Data Representation
- Bar Chart, Pie Chart, Trend Chart
- Creating an Histogram
- Understanding the Application of Box Plot
- Scattered Plot and Correlations
MODULE 4 - Basic Classification Models and Techniques
- Introduction to Classification in Machine Learning and Its Application
- Supervised vs. Unsupervised Classification
- Deploying Classification Models Using Gen AI x Python
- What is Decision Tree Classification?
- Random Forest Classification
- Naive Bayes Classificaiton
- Support Vector Machine (SVM) Classification
MODULE 5 - Regression Method and Forecasting
- What is Regression Modelling?
- Different Stages of Modelling
- Deployment of Regression Models using Gen AI x Python
- Simple Linear Regression
- Multiple Linear Regression
- Refining the Model
- Model Validation and Prediction
- Logistic Regression
- Evaluating Logistic Regression using Confusion Matrix
MODULE 6 - Finding Data Patterns Using Association Rules
- Introduction to Association Rules
- What is Market Basket Analysis (MBA)?
- Concepts of Support, Confidence, and Lift
- Techniques of Association
- Application of Association
MODULE 7 - K-Means Clustering iLearning Models
- Deep Dive into Unsupervised Learning Models
- Deploying Clustering Models using Gen AI x Python
- Introduction to Cluster Analysis
- Hierarchical Clustering vs. K-Means Clustering
MODULE 8 - Evaluating and Improving Model Performance
- Model Evaluation and Comparison
- Parameters to Evaluate the Model Accuracy
- Selection of Right Parameters for a Model
- Using ChatGPT x Python to Determine the Right Evaluation Model
MODULE 9 - Deep Dive into Deep Learning
- Understanding the Learning Representation of Data
- Fundamentals of Deep Learning
- How does Deep Learning Works
- Deep Learning and Its Application
- Gen AI, Neural Network, Natural Language Processing (NLP), Large Language Models (LLM)
Be Recognized as a CASUGOL Certified Professional
Add Value to your already prolific portfolio with a Certificate of Competency from CASUGOL.
Awarded upon completing and meeting all requirements of the course.
Event Venue & Nearby Stays
The Chelsea, 69 Jervois Street, Hong Kong, Hong Kong
SGD 697.99
