Machine Learning (AI) Bootcamp
Do you know?
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
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.
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.
This course will help you prepare for the following jobs:
- Machine Learning Engineer
- AI Specialist
- Data Scientist
- Machine Learning/ AI Consultant
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
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
Data cleaning and quality assessment
Feature Engineering, Encodings
Visualizations and Analysis
Exercise:
Explore data from kaggle and do cleaning and quality assessment with visualizations.
Quiz
Module 4: Supervised Learning I
- 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
- 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
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)
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: Web Development
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
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
Utilising all the concepts build a real-world project
Analyse and present the project.
Further learning and future pathways.
Certification after project completion.
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.
- Mock Tests
- Course files and materials
- Reference files and external links
- Hands on activities
- Quizes
- Student account portal (lms.graduateplus.com.au)
Face to Face at our training centre or Online live class via Zoom
Learning materials are accessed via student portal (LMS)
Pricing and Duration
Course only
Price – $10,000
12 weeks | 2 day per week | 4 hrs per day
Total: 96 Hrs
**Group of 2 or more gets 15% discount.
**Payment plans available
Course + Career counselling + Interview Preparation + Internship
Price – $12,000
13 weeks | 2 day per week | 4 hrs per day
Total: 100 Hrs
**Group of 2 or more gets 15% discount.
**Payment plans available
Ready to get started?
Get in touch today! don’t wait for the miracles to happen. Start your journey towards a Machine Learning today!