Gaining a Master’s in Artificial Intelligence in Australia from Intellipaat will open up all doors for you to the industry. You will receive 24/7 support from our SMEs and soon become an expert in Python, ANNs, Data Science, etc. You will also work on relevant projects. This carefully designed MS in Artificial Intelligence course will get you certified as an Artificial Intelligence Engineer.
In collaboration with
Data Science with R
Deep Learning with TensorFlow
Natural Language Processing
Advanced Deep Learning and Computer Vision
AWS Big Data
Through this AI Master’s in Australia program, you will quickly pick up skills in R programming, Python coding, Tableau, Data Science, Deep Learning with TensorFlow, using Watson Assistant to build chatbots, Business Analytics, and many other concepts.
No. Intellipaat does not impose any prerequisites for enrollment in this master’s course in Artificial Intelligence.
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Develop strategies on technologies, frameworks, and infrastructure that could help in creating AI solutions.
Assess and validate the Artificial Intelligence models using tuning and model fit testing.
Develop robust optimization algorithms for numerous applications built on Artificial Intelligence.
Use Machine Learning tools and techniques to create statistical models consisting of large volumes of data.
Scale and prototype the latest Machine Learning and Artificial Intelligence solutions in the cloud environment in order to meet the business requirements.
Artificial Intelligence using Python
Data Science with R
Deep Learning with TensorFlow
Natural Language Processing
AWS Big Data
Data Science with R
42 Hours 15 ModulePreview
Module 01 – Introduction to Data Science with R
Module 02 – Data Exploration
Module 03 – Data Manipulation
Module 04 – Data Visualization
Module 05 – Introduction to Statistics
Module 06 – Machine Learning
Module 07 – Logistic Regression
Module 08 – Decision Trees and Random Forest
Module 09 – Unsupervised Learning
Module 10 – Association Rule Mining and Recommendation Engines
Module 11 – Introduction to Artificial Intelligence
Module 12 – Time Series Analysis
Module 13 – Support Vector Machine (SVM)
Module 14 – Naïve Bayes
Module 15 – Text Mining
42 Hours 12 ModulePreview
Module 01 – Python Environment Setup and Essentials
Module 02 – Python language Basic Constructs
Module 03 – OOP concepts in Python
Module 04 – Database connection
Module 05 – NumPy for mathematical computing
Module 06 – SciPy for scientific computing
Module 07 – Matplotlib for data visualization
Module 08 – Pandas for data analysis and machine learning
Module 09 – Exception Handling
Module 10 – Multi Threading & Race Condition
Module 11 – Packages and Functions
Module 12 – Web scraping with Python
32 Hours 9 ModulePreview
Module 01 – Introduction to Machine Learning
Module 02 – Supervised Learning and Linear Regression
Module 03 – Classification and Logistic Regression
Module 04 – Decision Tree and Random Forest
Module 05 – Naïve Bayes and Support Vector Machine (self-paced)
Module 06 – Unsupervised Learning
Module 07 – Natural Language Processing and Text Mining (self-paced)
Module 08 – Introduction to Deep Learning
Module 09 – Time Series Analysis (self-paced)
Artificial Intelligence & Deep Learning with Tensorflow
32 Hours 13 ModulePreview
Module 01 – Introduction to Deep Learning and Neural Networks
Module 02 – Multi-layered Neural Networks
Module 03 – Artificial Neural Networks and Various Methods
Module 04 – Deep Learning Libraries
Module 05 – Keras API
Module 06 – TFLearn API for TensorFlow
Module 07 – Dnns (deep neural networks)
Module 08 – Cnns (convolutional neural networks)
Module 09 – Rnns (recurrent neural networks)
Module 10 – Gpu in deep learning
Module 11 – Autoencoders and restricted boltzmann machine (rbm)
Module 12 – Deep learning applications
Module 13 – Chatbots
Natural Language Processing
20 Hours 6 ModulePreview
Module 01 – Overview of Natural Language Processing and Text Mining
Module 02 – Text Mining, Cleaning, and Pre-processing
Module 03 – Text Classification
Module 04 – Sentence Structure, Sequence Tagging, Sequence Tasks, and Language Modeling
Module 05 – Introduction to Semantics and Vector Space Models
Module 06 – Dialog Systems
Advanced Deep Learning and Computer Vision
Module 01 – RBM and DBNs & Variational AutoEncoder
Module 02 – Object Detection using Convolutional Neural Net
Module 03 – Generating images with Neural Style and Working with Deep Generative Models
Module 04 – Distributed & Parallel Computing for Deep Learning Models
Module 05 – Reinforcement Learning
Module 06 – Deploying Deep Learning Models and Beyond
AWS Big Data
32 Hours 10 ModulePreview
Module 01 – Introduction to Big Data and Data Collection
Module 02 – Introduction to Cloud Computing & AWS
Module 03 – Elastic Compute and Storage Volumes
Module 04 – Virtual Private Cloud
Module 05 – Storage – Simple Storage Service (S3)
Module 06 – Databases and In-Memory DataStores
Module 07 – Data Storage
Module 08 – Data Processing
Module 09 – Data Analysis
Module 09 – Data Visualization and Data Security
22 Hours 17 ModulePreview
Module 01 – Introduction to SAS
Module 02 – SAS Enterprise Guide
Module 03 – SAS Operators and Functions
Module 04 – Compilation and Execution
Module 05 – Using Variables
Module 06 – Creation and Compilation of SAS Data Sets
Module 07 – SAS Procedures
Module 08 – Input Statement and Formatted Input
Module 09 – SAS Format
Module 10 – SAS Graphs
Module 11 – Interactive Data Processing
Module 12 – Data Transformation Function
Module 13 – Output Delivery System (ODS)
Module 14 – SAS Macros
Module 15 – PROC SQL
Module 16 – Advanced Base SAS
Module 17 – Summarization Reports
24 Hours 23 ModulePreview
Module 01 – Entering Data
Module 02 – Referencing in Formulas
Module 03 – Name Range
Module 04 – Understanding Logical Functions
Module 05 – Getting started with Conditional Formatting
Module 06 – Advanced-level Validation
Module 07 – Important Formulas in Excel
Module 08 – Working with Dynamic table
Module 09 – Data Sorting
Module 10 – Data Filtering
Module 11 – Chart Creation
Module 12 – Various Techniques of Charting
Module 13 – Pivot Tables in Excel
Module 14 – Ensuring Data and File Security
Module 15 – Getting started with VBA Macros
Module 16 – Ranges and Worksheet in VBA
Module 17 – IF condition
Module 18 – Loops in VBA
Module 19 – Debugging in VBA
Module 20 – Dashboard Visualization
Module 21 – Principles of Charting
Module 22 – Getting started with Pivot Tables
Module 23 – Statistics with Excel
Tableau Desktop 10
30 Hours 13 ModulePreview
Module 01 – Introduction to Data Visualization and The Power of Tableau
Module 02 – Architecture of Tableau
Module 03 – Charts and Graphs
Module 04 – Working with Metadata and Data Blending
Module 05 – Advanced Data Manipulations
Module 06 – Working with Filters
Module 07 – Organizing Data and Visual Analytics
Module 08 – Working with Mapping
Module 09 – Working with Calculations and Expressions
Module 10 – Working with Parameters
Module 11 – Dashboards and Stories
Module 12 – Tableau Prep
Module 13 – Integration of Tableau with R
Free Career Counselling
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The application is free and takes just 10-15 minutes to complete.
Projects will be a part of your Artificial Intelligence Master’s program to consolidate your learning. It will ensure that you have real-world experience in AI.
Practice 100+ Essential Tools
Designed by Industry Experts
Get Real-world Experience
Deal with Financial Data
Analyze global sales and profit by developing an interactive map, and use map styles and layers for enhanced visualization.
Calculation of Employee Bonuses
Use if function to calculate the bonuses of all the employees at 10% of their salary. Rate the sales employees as per the respective sales and rating scale.
Analyze Movie Review Data with NLP
Pre-process data using tokenization and lemmatization. Perform a sentimental analysis task on the data by classifying whether movie reviews are positive or negative.
Integrate Big Data with AWS
Implement Machine Learning methods and regression models, make use of Glacier, and adapt Redshift to integrate the company’s Big Data with AWS, making it accessible to the users.
Work with the Customer Data of the UK Bank
Analyze and create a dashboard to gain insight from the UK bank’s customer data. Build an asymmetric drop-down consisting of the region and the corresponding user details.
Market Basket Analysis
Identify trends in the company’s inventory dataset to increase sales. Moreover, you need to implement data extraction, data manipulation, etc. for Market Basket Analysis.
Credit Card Fraud Detection
Perform data analysis on banking dataset for several parameters. Use V4 predictor analysis, v7 predictor, and data visualization to calculate the probability of fraud activities.
Prediction of Loan Approval
Use banking datasets to analyze, clean, process, and visualize the data. Once data analysis is completed, implement Naive Bayes and Principal Component Analysis.
Netflix Movie-recommendation System
Analyze movie dataset and movie recommendation based on ratings. Work with a combined dataset of movies and ratings, perform data analysis on several data labels, etc.
Use Python to perform web scraping. Also, work on various Web Scraping libraries, Beautiful Soup, Navigable String, parser, searching tree deployment, and more.
Performing Analysis on Customer Churn Dataset
Analyze employment reliability in the telecom industry. Work on real-time analysis of data with multiple labels, data visualization for reliability factor, etc.
Impact of Pre-paid Plans on the Preferences of Investors
Find the most impacting factors in the preferences of the pre-paid model and identify the variables that are highly correlated with impacting factors.
Analyze COVID-19 Trends Using Python
Use Pandas to collect data from various files, Plotly to build interactive visualizations, and Prophet library from Facebook to develop time-series models.
Face Detection Project
Use Python 3.5(64-bit) with OpenCV for face detection. The system will have to detect multiple faces in a single image. Working with essential libraries like cv2 and glob.
Build a Convolutional Neural Network using MNIST dataset after downloading the MNIST dataset through Keras. Fit the dataset to a model and evaluate the loss and accuracy of theRead More..
Data Scientist | Hyderabad
The expert trainers here helped me acquire all the skills that I required to transfer my career from an Aircraft Maintenance Engineer (AME) to a certified Data Scientist. They taught all the necessary concepts and technologies, including Machine Learning and Deep Learning, making me an expert in the field.
Aircraft Maintenance Engineer
Big Data Developer | Dallas
This is a great training program. The mentors and course instructors were interactive throughout the program. This course has helped me upskill myself in the numerous tools and technologies that work with Big Data. The experts helped me make a smooth career transition from Computer Technical Specialist to a Big Data Developer.
Computer Technical Specialist
Big Data Developer
Data Scientist | Bengaluru
My experience in learning from Intellipaat was amazing. The mentors were helpful throughout the course and helped me understand the concepts better by clearing all my doubts. Besides, the comprehensive course material was useful while preparing for job interviews as it helped me revise. This training program helped me become a successful Data Scientist.
Manager Analytics & Data Science
Data Engineer | Pune
This e-learning institute has been extremely helpful for my career. The training program and interactive live lectures made it easy to master the concepts as per the industry demands. The curriculum was comprehensive and the trainers offered useful explanations for the concepts which helped me start my career in Data Engineering.
Program Manager | Pune
Intellipaat served as a great platform for me to learn the latest upgrades and skills in the technology as per industry requirements. I was working as a Microsoft Dynamics Consultant but after taking the training from Intellipaat, I was skilled enough to become a Program Manager.
Microsoft Dynamics Consultant
Data Science Intern | Gurugram
This training helped me master the skills that are required to begin a career in the field of Data Science. The course curriculum allowed me to learn both basic and advanced level concepts in the field which helped me make a smooth transition in my career from a Lecturer to a Data Science Intern in Blackcoffer.
Data Science Intern
57% Average Salary Hike
$1,14,000 Highest Salary
12000+ Career Transitions
300+ Hiring Partners
The course in Australia is created and delivered in association with IBM to help you get the top jobs in the world. The course includes real-world projects that are extremely valuable. The course completion certificate from Intellipaat and IBM is awarded upon successfully completing the projects.
This Artificial Intelligence Master’s course is designed for clearing the following industry certifications:
Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!
Career Oriented SessionsThroughout the course
Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.
Resume & LinkedIn Profile BuildingAfter 70% of course completion
Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage
Mock Interview PreparationAfter 80% of the course completion.
Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.
1 on 1 Career Mentoring SessionsAfter 90% of the course completion
Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.
Assured InterviewsAfter 80% of the course completion
Assured Interviews upon submission of projects and assignments. Get interviewed by our 500+ hiring partners.
Exclusive access to Intellipaat Job portalAfter 80% of the course completion
Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.
Self Paced Training
Online Classroom Preferred
Intellipaat offered fully updated learning material for the Artificial Intelligence training. The video quality and other course material were appreciable. I would definitely recommend Intellipaat’s master’s program in AI to my friends.
This Intellipaat’s Master's in Artificial Intelligence course is a training program that has been created by extensive inputs from the industry. Absolutely happy to learn from Intellipaat in Australia!
I liked the way Intellipaat has created the master's in Artificial Intelligence online for AI Engineer. Anybody looking to excel in Artificial Intelligence must take this course from Intellipaat.
Good course. I am so happy that I have enrolled at intellipaat. Trainer knowledge and projects are very nice. I will recommend this course to my all friends.
It was a great learning experience with Intellipaat. The courseware is comprehensive, and has a variety of material like videos, PPTs, and PDFs that are neatly organized. Further, there are hands-on projects, assignments, code files for each module. And most importantly, the support I receivedRead More..
Intellipaat provides highest quality training. Instructors have good grip on the subject. The support team was available whenever I needed them. Value for money.
Best platform to learn. I'm a Reporting and Tools Analyst working for an MNC. I choose Intellipaat course and completed it last month. Course material is well designed. On request I got 2 more projects which made my learning experience even more better. Over allRead More..
I loved the way the trainer took the classes systematically. The content was great. He made all tough concepts easy for me to understand. The course was very much beneficial for me.
The classes on each module were conducted step-by-step. All my queries were addressed very clearly. I suggest this is the best course for beginners. The projects were really worth working on.
Initially, I was not believing in e-learning, but Intellipaat’s Master's program in Artificial Intelligence training course proved me wrong. I had wonderful learning experience with the trainer and the support team was always ready to take my concerns. Thanks for the course and support. SurelyRead More..
I do not understand how Intellipaat gets their hands on such wonderful trainers. I mean, my trainer was beyond awesome. Ask him a doubt, he will clear. He made us laugh during sessions. He was extremely knowledgeable and interactive. Wonderful Experience while completing my ArtificialRead More..
Great Master's in Artificial Intelligence course, I had a really good experience from this platform, they trained me well. I completed my Python training with this institute where they provided extremely good training and good support too. Further, the course instructors were really well-educated whoRead More..
Intellipaat provides the best Artificial Intelligence Master’s Programs in Australia that gives you all the skills needed to work in the domains of AI, Machine Learning, Deep Learning, Data Science with R Statistical computing and Python to give the professionals an added advantage. Upon the completion of the training, you will be awarded the Intellipaat Artificial Intelligence Engineer certification.
You will be working on real-time projects and step-by-step assignments that have high relevance in the corporate world, and the curriculum is designed by industry experts. Upon the completion of the training course, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support and course material upgrading to the latest version at no extra fee. Hence, it is clearly a one-time investment.
Intellipaat has been serving AI and ML enthusiasts from every corner of Australia. You can be living in any country, be it New South Wales, Queensland, South Australia, Tasmania, Victoria, Western Australia, or anywhere. You can have full access to the best Artificial Intelligence Master’s programs in the world sitting at home or office 24/7.
At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.
Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.
You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.
Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.
You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.
Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.
Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.