Machine Learning (AI) Bootcamp
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The current job market for Machine Learning is rapidly expanding, with high demand for skilled professionals in AI, data science, and automation, offering competitive salaries and opportunities across industries such as healthcare, finance, and technology.
Introduction to Machine Learning Training Course
Overview
Unlock the power of Machine Learning in this immersive bootcamp. This course provides an in-depth understanding of Machine Learning, Data Science, and Deep Learning concepts using Python. It covers everything from the foundational principles to advanced techniques, preparing you for real-world applications and professional work in the field. Each module is designed to provide hands-on experience with Python, data handling, machine learning algorithms, and deployment practices. By the end, you’ll have the skills to build and deploy your own machine learning models and be ready to take on real-world ML challenges.
Pre-requisites
No prior programming experience required. This course is aimed at complete beginners with no coding background. However, anyone with basic knowledge of programming will be highly benefited.
Opportunities
This course will help you prepare for the following jobs:
Machine Learning Engineer
AI Specialist
Data Scientist
Machine Learning/ AI Consultant
Inclusions
Mock Tests
Course files and materials
Reference files and external links
Hands on activities
Quizes
Student account portal (lms.graduateplus.com.au)
Inclusions
Face to Face at our training centre or Online live class via Zoom
Learning materials are accessed via student portal (LMS)
Skill Gained
Learning Objectives
By the end of this course, you’ll have the skills to not only write powerful Python programs but also the confidence to solve real-world problems, debug like a pro, and explore endless career opportunities in the world of programming.
Set Up Python Anywhere: Easily install Python on any machine, configure virtual environments, and run your first Python program on Windows, Mac, or Linux.
Master Python Syntax & Data Types: Quickly get comfortable with Python’s syntax, variables, and data types, creating a solid foundation for any project.
Effortlessly Use Operators & Math: Understand and apply Python’s powerful operators and perform complex math operations with ease.
Write & Debug Python Scripts: Write clean, efficient scripts with conditionals, loops, and control statements—and troubleshoot issues like a pro.
Build Robust Functions: Create reusable, dynamic functions, understand recursion and lambda expressions, and master how parameters and arguments work.
Unlock the Power of Python Libraries & Modules: Learn how to use Python’s massive collection of built-in modules and third-party libraries to elevate your projects.
Create Object-Oriented Programs: Dive deep into object-oriented programming by designing and building programs with classes and objects, bringing real-world concepts to life.
Handle Errors Like a Pro: Master Python’s error-handling techniques, ensuring your programs run smoothly and stay bug-free with proper exception handling.
Work with JSON & Files: Learn how to manage JSON files in Python, perform CRUD operations, and handle data efficiently for real-world applications.
Build Real-World Python Programs: Gain the confidence to create and deploy real-world Python applications, and explore endless career possibilities in tech, data science, and beyond..
Course Module
Module 1: Machine learning introduction
Introduction, Types, Real world applications
Tools and libraries
Specializations
Python Fundamentals
Setup and install necessary tools
Python basic syntax, variables, data types, list, arrays, dictionary, conditionals, loops, operators, math, function, classes, OOP etc.
Exercise
Setup and explore python
Quiz.
Module 2: Python for Machine Learning
Topic
Fundamentals of python library for ML like NumPy, Pandas, Matplotlib/Seaborn etc
Basic data handling and visualization
Exercise
Explore python libraries for Machine learning tasks and visualize data
Quiz.
Module 3: Data Preparation and Exploratory Data Analysis
Topic
Data cleaning and quality assessment
Feature Engineering, Encodings
Visualizations and Analysis
Exercise
Explore data from kaggle and do cleaning and quality assessment with visualization
Quiz.
Module 4: Supervised Learning I
Topic
Supervised Learning (Regression)
Concept of Linear regression and basic implementation
Linear regression (with multi features)
Polynomial regression
Exercise
Case Study
Quiz.
Module 5: Supervised Learning II
Topic
Supervised Learning (Classification)
Logistic Regression
Decision Tree
Support Vector Machine (SVM)
Ensemble models- Random Forest, GBM
Model Evaluation and Optimizations techniques
Exercise
Case Study
Quiz.
Module 6: Unsupervised Learning & Reinforcement Learning
Topic
Clustering: K-means clustering
Anomaly Detection system
Dimensionality reduction (PCA)
Concepts of Recommendation System
Basic concepts of Reinforcement learning
Exercise
Case Study
Quiz.
Module 7: Deep Learning (Deep Neural Networks)
Topic
Neural network concept.
TensorFlow and Keras to train neural network
Model building and training
Model evaluation and optimizations techniques
Future of Deep learning
Exercise
Case Study
Quiz.
Module 8: Deep Learning (Deep Neural Networks)
Topic
Django web Development Basics
Create a fully functional ML web app
Deployment in AWS
Full ML workflow (Building to Deployment)
Exercise
Build and deploy ML model using Django in AWS
Quiz.
Module 9: Final Project Work
Topic
Build and Deploy ML models and website in AWS.
Test and optimize
Final review of work and Q&A
Module 10: Presentation, Certification and Future pathways
Topic
Utilising all the concepts build a real-world project
Analyse and present the project.
Further learning and future pathways.
Certification after project completion.
Pricing and Duration
Package 1
Cources only – $10,000
12 weeks | 2 day per week | 4 hrs per day
Total: 96 Hrs
Group of 2 or more gets 15% discount.
Package 2
Course + Career counselling + Interview Preparation + Internship – $12,000
13 weeks | 2 day per week | 4 hrs per day
Total: 100 Hrs
Group of 2 or more gets 15% discount.
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02 9066 6560
Suite 7, 18 Montgomery St Kogarah NSW 2217
Canberra
02 6188 9801
Unit 5, 21 Colbee Court, Philip, ACT 2606