Certified Machine Learning Expert (CMLE) using Python x Gen AI

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Fee is in Singapore Dollars (SGD)

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For Corporate / Batch Enrolment or Course Customization

An Advisor is available at WhatsApp. You can also email us at hello@casugol.com

ExcellentCASUGOL4.9★★★★★Mark Joseph ZabalaMark 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 witkoen de wit ★★★★★ I wanted to expand my horizon and open myself to a new way of thinking about digital transformation. It certainly more than overdeliveredDavid MouldDavid Mould ★★★★★ Peesa ChoomsawasdiPeesa Choomsawasdi ★★★★★ Enjoyed the class, insightful and pragmatic.Ahmad Tariq Ahmad ZiyadAhmad 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 journeyKuchaiKuchai ★★★★★ Very exciting course to be joined by others in AI era.Joel SebastianJoel Sebastian ★★★★★ Marshall Tommie LajawaiMarshall Tommie Lajawai ★★★★★ Great training experience!Auriel AnthonyAuriel 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 scccordon scc ★★★★★ great learning experience and learn more about digital transformation. Also great speakerJeamron AratJeamron 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 ChanKira Chan ★★★★★ toni gasangtoni gasang ★★★★★ Innocelzever AbdonInnocelzever 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 informativeJaphet MoralejaJaphet Moraleja ★★★★★ Ian Curt SarmientoIan Curt Sarmiento ★★★★★ Great way of sharing expertise and knowledge in small steps but big meaning change.Patricia Caldito-LimPatricia 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 AlagenthranKavilashini Alagenthran ★★★★★ Tiwi HarefaTiwi Harefa ★★★★★ Raihan Muhammad IqbalRaihan Muhammad Iqbal ★★★★★ vira agathavira agatha ★★★★★ It was really fun to follow the casugol training, the lessons were easy to understandHanna YunitaHanna Yunita ★★★★★ Nurianda WulandariNurianda Wulandari ★★★★★ Terimakasih untuk pembelajarannya selama ini, semoga ilmu yang di berikan bermanfaat bagi semua orgLiza SinagaLiza Sinaga ★★★★★ ryanlau terate22ryanlau terate22 ★★★★★ Anita Romauli SimamoraAnita 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 SyaputraWahyu Syaputra ★★★★★ Saya sangat senang mengikuti materi pembelajaran seminar iniEcah HerlinaEcah Herlina ★★★★★ The class is very goodvioretta angelavioretta angela ★★★★★ stephaniestephanie ★★★★★ so fun experience!thanks to mr. DwayneElvisElvis ★★★★★ Victor OctarinoVictor Octarino ★★★★★ Valent GValent G ★★★★★ Glae DisyaGlae Disya ★★★★★ Nice place to learnNsalim batamNsalim batam ★★★★★ Myoui Aldo ChoMyoui Aldo Cho ★★★★★ Sundi CenturiaSundi Centuria ★★★★★ Andira NasaruddinAndira Nasaruddin ★★★★★ AurellAurell ★★★★★ Putri MayangPutri Mayang ★★★★★ The class was very enjoyable and the material was meaningfulReza Seri Rahayu SaputriReza Seri Rahayu Saputri ★★★★★ Febby aulya putriFebby aulya putri ★★★★★ Good JobAmaliyaa NurAmaliyaa Nur ★★★★★ good experienceTania RidhaTania Ridha ★★★★★ Erin KristinaErin Kristina ★★★★★ Joining Casugol was one of the best decisions in my personal and professional development journey.SalmiahSalmiah ★★★★★ js_loader
Course Overview

The Certified Machine Learning Expert (CMLE) using Python × Gen AI builds practical skills in ML, deep learning, Gen AI, prompt engineering, deployment, and governance, preparing professionals to deliver real-world AI solutions.

Internationally preferred, the Certified Machine Learning Expert by CASUGOL emphasizes pragmatic, industry-driven learning. Graduates are recognized for building, deploying, and governing enterprise-ready AI systems.
 

  • Duration: 24 Hours

  • Certification: Participants will receive a Certificate of Competency upon completing the course and passing the examination
  • Gain Practical Competence Across the Full ML Lifecycle
  • Global Recognition
  • Networking Opportunities
  • Career Advancement
  • Python-Centric Practical Skills
  • Generative AI Integration Capability
  • Responsible AI & Governance Literacy

Pre-requisite

No pre-requisite. Suitable for everyone with and without prior technology experience.
 
Who Should Attend
 
Machine Learning Engineer, Data Scientist, AI/ML Developer, Data Analyst, Deep Learning Engineer, AI Product Manager, Innovation / R&D Specialist, Business Intelligence (BI) Developer, Digital Transformation Lead, Enterprise AI Consultant, and Anyone seeking to acquire advanced knowledge on AI-Machine Learning

Course Objective

  • Develop practical expertise to design, build, and deploy machine learning and Generative AI solutions using Python, ensuring end-to-end AI capability.

  • Acquire advanced knowledge and skills to integrate AI responsibly, optimize model performance, and apply governance frameworks for enterprise-ready AI systems.
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Course Outline
  • Deep Dive into Artificial Intelligence, Machine Learning & Generative AI

  • Differences Between AI, ML, Deep Learning & Gen AI

  • Machine Learning Problem Types (Regression, Classification, Clustering)

  • Understanding the ML Lifecycle

  • Key Concepts - Features, Labels, Training vs Testing

  • Real-World ML & Gen AI Applications

  • Common Myths & Misconceptions in AI

  • Python Environment Setup (Anaconda / Jupyter)

  • Numerical Computing with Numpy

  • Data Manipulation with Pandas

  • Data Cleaning & Missing Value Handling

  • Feature Engineering Fundamentals

  • Data Visualization for ML Insights

  • Dataset Splitting & Preparation

  • Practical Data Exploration Workflow

  • Understanding Supervised Learning Paradigm

  • Linear & Logistic Regression

  • Decision Trees & Random Forests

  • Support Vector Machines (SVM)

  • Model Training & Validation Techniques

  • Performance Metrics (Accuracy, Precision, Recall, RMSE)

  • Overfitting & Underfitting

  • Hyperparameter Tuning Basics

  • Introduction to Unsupervised Learning

  • Clustering (K-Means, Hierarchical)

  • Dimensionality Reduction (PCA)

  • Anomaly Detection Concepts

  • Feature Transformation Techniques

  • Pattern Discovery & Sezgmentationv

  • Evaluating Clustering Quality


  • Practical Business Use Cases

  • Neural Network Fundamentals

  • Activation Functions & Layers

  • Training Deep Neural Networks

  • Backpropagation Conceptual Understanding

  • Handling Overfitting (Dropout / Regularization)

  • Introduction to CNN / RNN Concepts

  • Practical Deep Learning Use Cases

  • Choosing Between ML vs Deep Learning

  • Introduction to Generative AI & LLMs

  • How Large Language Models Work (Conceptual)

  • Embeddings & Vector Representations

  • Retrieval-Augmented Generation (RAG)

  • Combining ML Models with Gen AI

  • AI-Powered Automation & Assistants

  • Limitations & Risks of Gen AI

  • Use Cases Across Industries

  • Overview on Prompt Engineering

  • Prompt Structures & Patterns

  • Controlling Output Quality & Consistency

  • Prompt Optimization Techniques

  • Designing AI-Driven Workflows

  • ML × Gen AI System Design

  • Failure Modes & Prompt Pitfalls

  • Introduction to AI Deployment Concepts

  • Model Serving & Inference Pipelines

  • API-Based AI Integration

  • Monitoring Model Performance

  • Model Drift & Retraining Strategy

  • Versioning & Experiment Tracking

  • Fundamentals of MLOps

  • Scalability & Production Considerations

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 AI-Machine Learning, based on the syllabus covered.

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

Happening At CASUGOL

Learning Journey

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Why CASUGOL
  • International Certification Body with over 120,000 Learners worldwide
  • Global Recognition
  • Developed Based on the Latest Industry Trends and Best Practices
  • Gain Access to Real-World Insights From Experts
  • Apply Your Learning Through Assigned Projects
  • 80% Hands-On / 20% Theory
Be Recognized

Add Value to your prolific portfolio a Certificate of Competency from CASUGOL.
 

All certificates issued by CASUGOL are to individuals who have successfully completed CASUGOL Certification Programs / Executive Workshops and have fulfilled all requirements by demonstrating proficiency in applying the knowledge and skills acquired.
 

Click Here to Verify Certificate

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Frequently Asked Questions (FAQ)

Enrolment Process

Each course / event has its own set of pre-requisite. Kindly review the Pre-requisites prior to enrolment.
 
To enrol, you’ll need to Select Your Preferred Batch Above, Add to Cart and Check Out.
 
For corporate, batch enrolment or any specific requirements, do Chat with our Education Officer or Email: hello@casugol.com.

Payment is due immediately upon checkout or upon receipt of the invoice. We accept payment by bank wire transfer, or credit card (Visa, MasterCard).

Enrolment is confirmed only when payment is made and cleared usually within 1 to 3 working days.
 
You can Chat with our Education Officer or Email: hello@casugol.com us to check your enrolment status.

Approximately one weeks prior to the start of the course / event, you will receive an email containing preliminary information and instructions where you can access a detailed schedule.

Payment, Cancellation, and Deferral

For Face-to-Face and Online Zoom- Live, the course fee includes training fees, course material, examination and certification.

Payment is due immediately upon checkout or upon receipt of the invoice. We accept payment by bank wire transfer, or credit card (Visa, MasterCard).

CASUGOL reserve the right to correct errors or omissions without prior notice.
 
We also reserve the right to cancel, discontinue, reschedule, delay, change instructors, or change the mode of delivery with insufficient enrollment and/or any unforeseen circumstances e.g. natural disaster, covid-19, etc...
 
Under such circumstances, CASUGOL will provide an alternative schedule within 48-Hours and there will be NO refund provided.

We also reserve the right to cancel, discontinue, reschedule, delay, change instructors, or change the mode of delivery with insufficient enrollment and/or any unforeseen circumstances e.g. natural disaster, covid-19, etc...
 
Under such circumstances, CASUGOL will provide an alternative schedule within 48-Hours and there will be NO refund provided.
 
You are strongly encouraged to attend the Online Zoom - Session when you return to your home country.
 
For any alternative arrangements or specific requirements, do Chat with our Education Officer or Email: hello@casugol.com.

All withdrawal request must be submitted in writing within 24 hours upon completing the enrolment, before the receipt of the invoice and making of payment. CASUGOL expressly reserves the right to refuse any request for refund for any reason. CASUGOL has no obligation to issue a refund after the grace period of 24 hours.

An Advisor is available at WhatsApp.
You can also email us at hello@casugol.com

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