AI & MACHINE LEARNING BOOTCAMP: FROM ZERO TO INTERMEDIATE
Training: RM 15,000 per pax + 8% SST
Overview
This hands-on bootcamp is designed to take absolute beginners through a complete journey into the world of Artificial Intelligence (AI) and Machine Learning (ML). Covering everything from Python programming to real-world ML projects, participants will gain both theoretical knowledge and practical experience needed to build and deploy AI models confidently.
This bootcamp is designed to train learners from zero to intermediate level in AI and machine learning. It covers Python programming, data handling, statistics, machine learning algorithms, model evaluation, and deployment. Participants will use tools like Pandas, Scikit-learn, TensorFlow, and Power BI through hands-on projects and real-world datasets. Key topics include supervised and unsupervised learning, deep learning basics, NLP, and AI deployment. Learners will also complete a capstone project and receive job readiness support. Delivered over 6 weeks (full-time) or 12 weeks (part-time), this course suits beginners or upskillers aiming for roles in data, AI, or ML.
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Open to SPM leavers, diploma/degree holders, or anyone interested in tech.
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No prior experience needed.
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Ideal for beginners exploring AI and ML from the ground up
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No prior experience required.
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All foundational concepts will be taught from scratch.
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To have own laptop
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Internet access at Home
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Proficiency in English
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Training Duration: 6 weeks | 240 hours
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Monday - Friday
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9AM - 5PM
Training mode: Hybrid Live Online or Onsite (as preferred)
Venue
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Classroom - Unit 313, Block E, Phileo Damansara I, Jalan 16/11, Pusat Perdagangan Phileo Damansara, 46350 Petaling Jaya, Selangor
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Online - Microsoft Teams
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Alignment with Key Focus Areas:
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The program builds strong foundations in AI and machine learning, aligned with high-demand digital skills across Malaysia’s key industries including finance, healthcare, logistics, and tech.
Support for National Goals:
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It supports the goals of MyDIGITAL and the National AI Roadmap by equipping Bumiputera youth, graduates, and jobseekers with realworld skills in AI tools, data analytics, and intelligent automation. The course bridges the digital divide by enabling participation regardless of prior IT experience.
Trainee Outcomes and Job Roles:
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Participants develop job-ready capabilities in Python, model building, and AI deployment. Graduates can pursue roles such as AI Developer (Junior), Data Analyst, or ML Assistant, or advance into specialist certifications in AI, Data Science, or Cloud
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Working professionals seeking to enter the AI/ML field
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Students and fresh graduates from any discipline
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Career switchers with zero background in coding or data
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Tech and non-tech enthusiasts looking to understand AI from the ground up
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Gain solid understanding of Python and data handling for AI/ML
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Build, train, and evaluate machine learning models
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Apply AI and ML concepts to real-world problems
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Prepare for industry roles like Data Analyst, AI Developer, or ML Engineer (Junior Level)
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Instructor led training.
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Recorded class training.
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Certified and industry experienced instructor.
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Certificate of Achievement will be provided at the end of the training class. Offer students a certificate of completion at the end of the training program. This certification acknowledges students’ active participation and successful completion of the training, further enhancing their professional credentials.
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Training Materials. We will provide participants with comprehensive training materials, including handouts, workbooks, and reference guides that cover the key concepts, techniques, and strategies taught during the program. These materials will serve as valuable resources for participants to refer to even after the training
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Jupyter
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Python
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Pandas
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Scikit-Learn
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TensorFlow
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Power BI
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GitHub
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Google Colab
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Core Python programming for data and AI tasks
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Data cleaning, transformation, and visualization techniques
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Key statistical concepts and linear algebra for ML
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Supervised and unsupervised machine learning algorithms
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Introduction to neural networks using TensorFlow/Keras
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Natural Language Processing (NLP) basics
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AI model evaluation and performance metrics
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Deploying AI models using Streamlit or Flask
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Integrating AI insights into Power BI dashboards
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By the end of the bootcamp, participants will be able to:
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Write Python scripts to analyze and preprocess data
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Build and evaluate machine learning models
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Understand how AI and ML are applied in different industries
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Deploy ML applications and build simple AI dashboards
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Confidently apply for junior roles in AI, ML, or data analysis
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Module 1: Python for AI & ML (Week 1–2) Python fundamentals
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Data types, loops, conditionals, functions
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File handling, exception handling
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Object-oriented programming
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Working with libraries: NumPy, Pandas, Matplotlib, Seaborn
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Project: Data Cleaning and Analysis (Titanic / Netflix / COVID Dataset)
Module 2: Statistics & Mathematics for ML (Week 2)
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Descriptive statistics
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Probability & distributions
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Correlation, covariance
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Linear algebra essentials (vectors, matrices, dot product)
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Calculus for ML (derivatives, gradient)
Module 3: Exploratory Data Analysis (EDA) & Data Preprocessing (Week 3)
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Handling missing values, outliers
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Feature selection, one-hot encoding
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Scaling and normalization
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Data visualization with Seaborn/Plotly
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Project: Exploratory Data Storytelling
Module 4: Introduction to Machine Learning (Week 4)
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Supervised vs Unsupervised Learning
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Model evaluation: accuracy, precision, recall, F1-score Cross-validation, confusion matrix
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Algorithms:
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Linear Regression
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Logistic Regression
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Decision Trees, Random Forest
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KNN, Naive Bayes
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K-Means Clustering
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Project: Predictive Model (e.g., house price prediction / customer churn)
Module 5: Deep Learning Basics (Week 5)
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Neural Networks basics
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Activation functions
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TensorFlow and Keras basics
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Building simple neural networks
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Image classification (MNIST dataset)
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Project: Digit Recognition / Simple Sentiment Classification
Module 6: AI in the Real World (Week 6)
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Introduction to NLP (tokenization, stemming, stop words)
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Real-world datasets (e.g., resume screening, chatbot basics)
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Deployment with Streamlit / Flask Intro to MLOps (basic model versioning)
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Power BI for AI integration (reporting insights)
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Capstone Project: Choose domain (Healthcare, Finance, Retail, HR)
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Data collection to model deployment walkthrough
Bonus Add-ons (Delivered Across Weeks):
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Git & GitHub for version control
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Resume & LinkedIn profile building for AI/ML careers
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Mock interviews & job-readiness sessions
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Optional: Kaggle Challenge participation
WHY NEXPERTS ACADEMY
- CERTIFIED TRAINERS
- HIGHLY EXPERIENCED
WITH INTERVIEW PREPARATION
- 24/7 SUPPORT
- LIFETIME ACCESS TO
RECORDED SESSIONS
- FLEXIBLE SCHEDULE