CERTIFIED MACHINE LEARNING EXPERT (CMLE)

COURSE OVERVIEW

Machine Learning is revolutionizing the world by allowing computers to learn as they progress forward with large data sets, overwriting overcoming all programming pitfalls and impasses. Machine Learning builds algorithms, which when exposed to high volumes of data, can self-teach and evolve. When this technology powers Artificial Intelligence (AI) applications, the combination can be powerful. Smart robots can already be found around us doing all our jobs with more speed and accuracy, and continuously improving themselves at every step.

TRAINING DETAILS

• Type of Training: Non-e-learning
• Duration: 4 days
• Total Training Hours: 32 hours
• Minimum Training Qualification: Suitable for anyone, even without prior technological experience.

 UPCOMING TRAINING SCHEDULE JAN – JUN 2024

• Type of Training: Non-e-learning
• Dates : 18 – 21 Mar
• Time: 9.30 am – 5.30 pm
• Mode of Delivery: Face-to-Face

CERTIFICATION

Upon course completion, participants will receive a “Certificate of Competency“

WHO SHOULD ATTEND

Data Analyst, Finance Analyst, HR Analyst, System Analyst, IT Professionals, Software Engineer, CIO, or Anyone who are interested in pursuing a career in the areas of Artificial Intelligence / Machine Learning.

TARGETED INDUSTRY

Suitable for all industry

LEARNING OUTCOME

Acquire advanced knowledge and skills on 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.

TRAINING METHOD

Involves rigorous hands-on / practical exercises, usage of real-time case studies, role playing and group discussion.

COURSE MODULES

• Module 1: Introduction to AI and Machine Learning
• Module 2: Data Structures & Managing Data Using Python
• Module 3: Exploring Data Using Python
• Module 4: Basic Classification Models & Techniques
• Module 5: Regression Methods and Forecasting
• Module 6: Finding Data Patterns Using Association Rules
• Module 7: K-Means Clustering
• Module 8: Evaluating and Improving Model Performance
• Module 9: Deep Learning & ChatGPT Integration

EXAMINATION

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 and Machine Learning based on the syllabus covered. Participants are expected to score a minimum of 70% to pass the examination.

FEES

RM 4,600 / pax : 4 days

Inclusive of training materials and refreshment.

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