• Application closes on

    15 Nov, 2024
  • Program duration

    11 months
  • Learning Format

    Live, Online, Interactive

Why Join this Program

  • icons
    Purdue’s Academic Excellence

    Program completion certificate from Purdue University and Simplilearn

    Program completion certificate from Purdue University and Simplilearn

  • icons
    IBM’s Industry Prowess

    Obtain IBM certificates for IBM courses and get access to masterclasses by IBM experts 

  • icons
    Exposure to latest AI trends

    Live online classes for generative AI, prompt engineering, explainable AI, ChatGPT, and much more

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    Hands-on Experience

    Gain experience through 25+ hands-on projects and 20+ tools with seamless access to integrated labs

Take the first step to your goals

Lifetime access to self-paced e learning content

Corporate Training

Enterprise training for teams

AIML Course in Brisbane Overview

The AI and ML Certification in Brisbane focuses on reinforcement learning, statistics, Python, deep learning networks, NLP, and the application of machine learning techniques. This AI and ML Course in Brisbane will help you deploy deep learning models on the cloud through AWS SageMaker, build Alexa skills and much more.

Key Features

  • Program completion certificate from Purdue University and Simplilearn
  • Gain exposure to ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
  • Live interactive sessions on the latest AI trends, such as ChatGPT, generative AI, prompt engineering, and more
  • Core curriculum delivered in live classes by industry experts
  • 3 capstones and 25+ hands-on projects from various industry domains
  • Live-online masterclasses delivered by Purdue faculty and IBM experts
  • Access to Purdue’s alumni association membership on program completion
  • Exclusive hackathons and Ask Me Anything sessions by IBM
Key Features
Program completion certificate from Purdue University and Simplilearn
Gain exposure to ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
Live interactive sessions on the latest AI trends, such as ChatGPT, generative AI, prompt engineering, and more
Core curriculum delivered in live classes by industry experts
3 capstones and 25+ hands-on projects from various industry domains
Live-online masterclasses delivered by Purdue faculty and IBM experts
Access to Purdue’s alumni association membership on program completion
Exclusive hackathons and Ask Me Anything sessions by IBM

AI ML Certification in Brisbane Advantage

Our curriculum equips you with the skills and knowledge to excel in your career. With a structured learning approach and industry-relevant projects, you will be able to tackle complex challenges and stay at the forefront of this field.

  • Program Certificate

    Partnering with Purdue University

    • Receive a joint Purdue-Simplilearn certificate
    • Masterclasses by Purdue faculty
    • Purdue University Alumni Association membership
  • IBM Certificate

    Program in Collaboration with IBM

    • Industry recognized IBM certificates for IBM courses
    • Masterclasses from IBM experts
    • Access to Ask Me Anything sessions and Hackathons

AI and ML Course in Brisbane Details

Through the various modules provided in this carefully curated AI and ML program, you will be on your way toward a successful career in AI and ML. You will also explore some of the latest advancements in the AI space such as ChatGPT, generative AI, and explainable AI among others

Learning Path

  • Discover the principles of automation, analysis, and much more from the AI ML Course, which is offered in collaboration with Purdue University. Begin your AI adventure by taking the AI and ML course on statistics and intelligent computing.

    • Procedural & OOP understanding
    • Python's Advantages Exploration
    • Jupyter Notebook utilization
    • Implementing identifiers, indentations, comments
    • Python data types, operators, strings
    • Mastery of Python loops
    • OOP principles comprehension
    • Methods, attributes, access modifiers insight
    • IBM-designed course on Python for data science.
    • Python scripting proficiency.
    • Hands-on data analysis using Jupyter Lab.
    • Python fundamentals emphasized: strings, Lambda functions, and lists.
    • NumPy for array manipulation 
    • Linear algebra basics
    • Statistical concepts (central tendency, dispersion, skewness, covariance, correlation).
    • Hypothesis testing methods covered: Z-test, T-test, ANOVA, and pandas data manipulation.
    • Data visualization skills acquired: Matplotlib, Seaborn, Plotly, and Bokeh libraries
    • Studying the machine learning pipeline.
    • Supervised learning: regression, classification.
    • Experience in unsupervised learning: clustering and ensemble modeling.
    • Evaluation of TensorFlow, and Keras frameworks.
    • Hands-on with PyTorch for recommendation engines.
    • Comprehensive understanding of ML approaches & applications.
    • Elevate ML skills with deep learning.
    • Learn TensorFlow and Keras.
    • Proficiency in deep learning concepts.
    • Construct artificial neural networks.
    • Navigate data abstraction layers.
    • Unlock data potential for AI advancements.
    • Explore deep learning vs. machine learning.
    • Fundamental concepts & applications covered.
    • Topics include neural networks, propagation, TensorFlow 2, and Keras.
    • Performance enhancement & model interpretability techniques.
    • CNNs, transfer learning, object detection.
    • RNNs, autoencoders, PyTorch neural networks.
    • Effective building & optimizing models with Keras, and TensorFlow.
    • AI areas: generative AI, prompt engineering, and ChatGPT.
    • Practical learning: Gain hands-on experience to utilize these technologies
    • Focus on prompt engineering: Understand its significance in producing specific outputs.
    • Comprehensive insights: Learn how to leverage AI advancements for practical business solutions.
  • Implement the skills you will gain throughout this program in this capstone project. You will solve industry-specific challenges by leveraging various AI and ML tools and techniques learned in the program modules. This project will help you showcase your new expertise to potential employers.

Electives:
  • Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.

  • Attend these online live sessions delivered by industry experts to gain insights about the latest advancements in the AI space. Some of the areas and concepts covered include Generative AI and its Applications, Leveraging the power of generative modeling to build innovative products, Building and deploying GPT-powered applications Demystifying ChatGPT, its architecture, training methodology, and business applications, and Applications of ChatGPT. {*Areas mentioned above are subject to change}

    • Advanced computer vision & deep learning.
    • In-depth knowledge & practical skills focus.
    • Topics: image formation, CNNs, object detection.
    • Image segmentation, generative models.
    • Optical character recognition covered.
    • Distributed & parallel computing.
    • Explainable AI (XAI) exploration.
    • Deep learning model deployment skills.
    • Advanced ML algorithms for language data.
    • Focus on natural language understanding.
    • Feature engineering exploration.
    • Natural language generation skills.
    • Automated speech recognition is covered.
    • Speech-to-text, text-to-speech conversion.
    • Voice assistance device development.
    • Building Alexa skills emphasis.
    • RL core concepts exploration.
    • Problem-solving skills in RL.
    • Strategies in Python, TensorFlow.
    • Theoretical RL foundations learning.
    • Practical RL algorithm application.
    • Proficiency in diverse applications.
    • Effective use of RL in scenarios.
    • Transformer role in modern AI comprehension.
    • Neural networks for generation tasks analysis.
    • Different generative model types: VAEs, GANs, transformers, autoencoders.
    • Appropriate scenarios for diverse AI models.
    • Attention mechanisms' role and efficacy.
    • Analyzing popular generative models: GPT, BERT.
    • Contrasting model architectures and objectives.

16+ Skills Covered

  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Explainable AI
  • Conversational AI
  • Large Language Models
  • Supervised and Unsupervised Learning
  • Model Training and Optimization
  • Model Evaluation and Validation
  • Ensemble Methods
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • Speech Recognition
  • Machine Learning Algorithms

13+ Tools Covered

ChatGPTMidjourneyDalle.2pythontensorflowkerasNLKTScikitLearnMatPlotlibAmazon SagemakerkubernetesAlexaFlask

Industry Project

  • Project 1

    Ecommerce

    Develop a shopping app for an e-commerce company using Python.

  • Project 2

    Food Service

    Use data science techniques, like time series forecasting, to help a data analytics company forecast demand for different restaurant items.

  • Project 3

    Retail

    Use exploratory data analysis and statistical techniques to understand the factors contributing to a retail firm's customer acquisition.

  • Project 4

    Production

    To understand their overall quality and sustainability, perform a feature analysis of water bottles using EDA and statistical techniques.

  • Project 5

    Real Estate

    Use feature engineering to identify the top factors that influence price negotiations in the homebuying process.

  • Project 6

    Entertainment

    Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.

  • Project 7

    Human Resources

    Build a machine learning model that predicts employee attrition rate at a company by identifying patterns in their work habits and desire to stay with the company.

  • Project 8

    Shipping

    Use deep learning tools, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error.

  • Project 9

    BFSI

    Use deep learning to construct a model that predicts potential loan defaulters and ensures secure and trustworthy lending opportunities for a financial institution.

  • Project 10

    Healthcare

    Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.

  • Project 11

    Healthcare

    Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.

  • Project 12

    Automobile

    Examine accident data involving Tesla’s auto-pilot feature to assess the correlation between road safety and the use of auto-pilot technology.

  • Project 13

    Tourism

    Use AI to categorize images of historical structures and conduct EDA to build a recommendation engine that improves marketing initiatives for historic locations.

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

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Program Advisors and Trainers

Program Advisors

  • Venkata N Inukollu

    Venkata N Inukollu

    Assistant Professor, Purdue University

    Venkata N Inukollu earned his Ph.D. in Computer Science from Texas Tech University. He received his Master’s degree in Software Systems from BITS - Pilani, India. He has interests in software engineering and testing in AI and machine learning.

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Program Trainers

  • Simon Travasoli

    Simon Travasoli

    25+ years of experience

    Senior Data Science Consultant at Citi Bank

  • Rocky Jagtiani

    Rocky Jagtiani

    24+ years of experience

    AI and ML Trainer

  • Nikhil Garg

    Nikhil Garg

    16+ years of experience

    Data Science Instructor

  • Nitin Gujral

    Nitin Gujral

    15+ years of experience

    Founder at Cramlays

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Join the AI and ML industry

AI, the revolutionary digital frontier, has far-reaching impacts on business and society. With the projected exponential growth of the AI market, this program is ideal for individuals striving to stay ahead of this transformative trend!

Job Icon$267 billion

Expected global AI market value by 2027

Source: Fortune Insights
Job Icon37.3%

Projected CAGR of the global AI market from 2023-2030

Source: Grand View Research
Job Icon$15.7 trillion

Expected total contribution of AI to the global economy by 2030

Source: PwC Global

Batch Profile

These AI and ML courses cater to working professionals across industries. Learner diversity adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%
    Companies
     course learners from SAP ERP, Brisbane
     course learners from Godrej & Boyce, Brisbane
     course learners from Wells Fargo, Brisbane
     course learners from Accenture, Brisbane
     course learners from ExxonMobil, Brisbane
     course learners from Target, Brisbane
     course learners from Boeing, Brisbane
     course learners from Siemens, Brisbane
     course learners from Infosys, Brisbane
     course learners from All India Institute of Medical Sciences, Brisbane
     course learners from Hewlett-Packard, Brisbane
     course learners from IBM, Brisbane
  • The class maintains an impressive diversity across work experience and roles
    Designation Breakup
    Associate - 12%Midlevel - 35%Senior-level - 43%Executive - 10%
    Total Years of Experience
    Less than 3 years - 13%3-5 years - 17%5-8 years - 12%8+ years - 58%
  • The class has learners with varied educational qualifications from excellent institutions
    Qualification
    Bachelors - 65%Masters - 30%Others - 5%
    Universities
     course learners from BITS Pilani, Brisbane
     course learners from IIT Hyderabad, Brisbane
     course learners from IIIT Allahabad, Brisbane
     course learners from McGill University, Brisbane
     course learners from IIT Bombay, Brisbane
     course learners from IIM Kozhikode, Brisbane
     course learners from University of Illinois at Chicago, Brisbane
     course learners from AIIMS, Brisbane
     course learners from NIT Calicut, Brisbane
     course learners from NIT Rourkela, Brisbane
     course learners from IIM Lucknow, Brisbane
     course learners from IIM Indore, Brisbane

Alumni Reviews

The certification helped me join a marketing firm as a consultant. I also got a promotion from a temporary to a permanent position at my university with a 35% increment in my salary.

Anthony Palomba

Assistant Professor

What other learners are saying

Admission Details

Application Process

Candidates can apply to this AI and ML Course in 3 steps. Selected candidates can join the program by paying the admission fee.

STEP 1

Submit Application

Tell us why you’d want to do this AI and ML Course

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

Selected candidates start the AI and ML Course in 1-2 weeks

Eligibility Criteria

Admission to this Post Graduate Program in AI ML Course requires:

2+ years of work experience preferred
A bachelor's degree with an average of 50 percent or higher marks
Basic understanding of programming concepts and mathematics

Admission Fee & Financing

The admission fee for this AI and ML Course is A$ 3,990. It covers applicable program charges and Purdue Alumni Association membership.

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Total Program Fee

A$ 3,990

Pay In Installments, as low as

A$ 399/mo

You can pay monthly installments for Post Graduate Programs using Splitit payment option with 0% interest and no hidden fees.

Apply Now

Program Benefits

  • Program certificate from Purdue University and Simplilearn
  • Exposure to generative AI, explainable AI, ChatGPT and more
  • Understand the applications of prompt engineering
  • Purdue Alumni Association Membership eligibility
  • Rigorous curriculum delivered by industry experts

Program Cohorts

Next Cohort

Got questions regarding upcoming cohort dates?

AI and ML Course in Brisbane FAQs

  • What is AI and Machine Learning?

    Artificial Intelligence technology (AI) is the study and development of computer science that can perform tasks previously limited to human intelligence, such as decision-making and voice recognition. Machine Learning (ML) is a related field that teaches computers how to learn and adapt without explicit programming. These two fields are closely related and are at the forefront of technological advancements, making them highly in demand. As a result, obtaining an Artificial Intelligence ML Course can offer students great potential for their career growth.

  • What are the eligibility criteria for the Professional Certificate Program in AI and Machine Learning in Brisbane?

    For admission to the Professional Certificate Program in AI and ML Course in Brisbane, you should have:

    • A bachelor's degree with an average of 50% or higher marks
    • Basic understanding of programming concepts and mathematics
    • 2+ years of experience (preferred)

  • What is the admission process for this Professional Certificate Program in AI and Machine Learning in Brisbane?

    The admission process consists of three simple steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will shortlist the candidates based on their application
    • An offer of admission will be made to the selected candidates and is accepted by the candidates by paying the AI ML Certification program fee

  • Is there any financial aid provided?

    To ensure money is not a barrier in the path of learning, we offer various financing options to help you find this Professional Certificate Programin AI and ML Course in Brisbane more affordable. Please refer to our “Admissions Fee and Financing” section for more details.

  • What should I expect from the Purdue Professional Certificate Program in AI and Machine Learning in Brisbane?

    As a part of this AI ML Course in Brisbane, in collaboration with IBM, you will receive the following:

    • Purdue Professional Certificate Program certification
    • Industry recognized certificates from IBM(for IBM courses) and Simplilearn
    • Purdue University Alumni status
    • Lifetime access to all (the core) of the e-learning content created by Simplilearn 
    • $1,200 worth of IBM Cloud credits for your personal use
    • Access to IBM Cloud platforms featuring IBM Watson and other cloud services

  • What certificate will I receive?

    Upon successful completion of the AI and ML Course in Brisbane, you will be awarded a Professional Certificate Program in AI and ML certification by Purdue University. You will also get industry-recognized certificates from IBM and Simplilearn for the courses on the learning path after successful course completion.

  • What is the salary of a machine learning engineer in Brisbane?

    On average, the annual salary of a machine learning engineer in Brisbane is A$64,993. If you complete your AI and ML training in Brisbane, you can negotiate for a higher salary.

  • What are the major companies hiring for a machine learning engineer in Brisbane?

    As companies now generate reams of data, they need to be organized in a fashion that is usable. As such, companies like Entain and Assignar are looking for machine learning engineers with an AI and ML training in Brisbane.

  • How to become a machine learning engineer in Brisbane?

    To become a machine learning engineer, you will need to undergo AI and ML training in Brisbane. This will give you the tools needed to apply to companies looking with that specific skill set.

  • How to find AI and ML courses in Brisbane?

    There are many options available for those looking to complete an AI and ML course in Brisbane. But there are very few that collaborate with industry leaders, such as IBM. It is best to look for such courses to get the maximum benefit.

  • What are the major industries in Brisbane?

    Brisbane has a number of major industries that need candidates who have completed an AI and ML course in Brisbane. These include industries such as scientific and technical services as well as healthcare, among others.

  • How will I be evaluated during this AI and ML course?

    Participants must finish the AI and ML course in Brisbane and the associated examinations and projects. Professionals will evaluate your class end exams, projects, and capstone projects. To get the Program in AI and Machine Learning, you must score over 75% on the examinations, finish the projects satisfactorily, and reply to the trainer's input.

  • What kind of certification will I get after finishing the AI and ML Course?

    Simplilearn and Purdue University will grant you a joint certification in the Post Graduate Program in AI and Machine Learning when you complete the AI and ML certification course. After completing the modules on the AI and ML Course learning path, you will get industry-recognized credentials from IBM and Simplilearn.

  • What roles do Purdue University and IBM play in Simplilearn's AI and ML Course?

    This comprehensive Artificial Intelligence and ML course has been developed in collaboration with Purdue University and IBM, with the aim of providing optimal learning opportunities throughout the program. An experienced Purdue University faculty member will be providing guidance and support as you delve into the world of AI. Additionally, Purdue academics and IBM professionals will conduct masterclasses to help you acquire a deeper understanding of AI ML concepts.

  • After completing the AI and ML Course, can I be considered a Purdue University alumnus?

    After completing this Artificial Intelligence and ML Certification Course, you will be eligible for the Purdue Alumni Association membership.

  • What will you study in the AI and ML course at Simplilearn?

    Simplilearn's AI and ML Certification Course will teach you various top skills and technologies, such as Python, Keras, Tensorflow, Django, and more. You'll receive access to capstone projects in three domains and over 25 hands-on professional assignments to put what you've learned into practice.

  • Why should you take an AI and ML course with Simplilearn?

    Simplilearn and Purdue University have teamed up to provide you with an incredible learning experience. The simplicity and comfort of a digital channel meet the elevated classroom setting. You will acquire 30+ tools and skills in this AI ML certification course, receive masterclasses from Purdue experts, and complete capstone and other industrial projects. And it all happens in a cohort setting, where you learn quicker and more effectively with other similarly motivated professionals.

  • What does the 24/7 Support guarantee cover?

    We provide email, chat, and phone help around the clock. We have a trained team that offers on-demand support through our discussion board. Furthermore, even after completing ai ml courses online, you will have unlimited access to the discussion board and forum threads.

  • If I am unable to access the AI and ML Course. Who can assist me?

    Reach us via the form on the right side of any webpage on the Simplilearn website, pick the Live Chat option, or email support and assistance if you cannot access the AI and ML Certification.

  • What are some of the topics and areas that will be covered in the masterclasses?

    The masterclasses will provide you with exposure to some of the latest trends in the AI space. Some of the areas covered include:

    • Generative AI and its Applications
    • Leveraging the power of generative modeling to build innovative products 
    • OpenAI and its Role in NLP and AI
    • Building and deploying GPT-powered applications
    • Demystifying ChatGPT, its architecture, training methodology, and business applications
    • ChatGPT best practices, limitations, and avenues for future development
    • Building real-world applications with the OpenAI API and ChatGPT 
    • Applications of ChatGPT, OpenAI, Dall-E, Midjourney & other tools
    • Explainable AI
    • Chatbots and their uses in companies such as Microsoft, Google, Meta etc.  
    • Latest trends in the AI space 

    *Areas mentioned above are subject to change  

Post Graduate Program in AI and Machine Learning, Brisbane

Brisbane is the capital city of Queensland and is also the most populous city in the state. In Australia, Brisbane ranks third in terms of number of residents. The metropolitan area has as many as 2.6 million residents. It is one of the oldest cities in the country and is named after the Brisbane River, on which it is located. Brisbane is a very diverse city, with nearly a third of the population born outside the country. It has been classified as a global city and is consistently ranked among the top most liveable cities. Brisbane is set to host the 2032 Summer Olympics as well.

Brisbane attracts a lot of tourists because of the many landmarks it has. The Queensland Cultural Centre is one of the more popular destinations, along with the South Bank Parklands. Some more places to visit in Brisbane include:

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.