Post Graduate Program in AI and Machine Learning, Brisbane
Ranked No.1 AI and ML Course by TechGig
Kick start your career with this AI and ML Certification in Brisbane, in collaboration with IBM and in partnership with Purdue University. This AI and ML Course in Brisbane combines classroom instruction with real-world AI and ML techniques.
- Admission closes on 18 Jul, 2024
- Program Duration 11 months
- Learning Format Online Bootcamp
World’s #1 Online Bootcamp
Why Join this Program
Purdue’s Academic Excellence
Program completion certificate from Purdue University and Simplilearn
IBM’s Industry Prowess
Obtain IBM certificates for IBM courses and get access to masterclasses by IBM experts
Exposure to latest AI trends
Live online classes for generative AI, prompt engineering, explainable AI, ChatGPT, and much more
Hands-on Experience
Gain experience through 25+ hands-on projects and 20+ tools with seamless access to integrated labs
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
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.
Partnering with Purdue University
- Receive a joint Purdue-Simplilearn certificate
- Masterclasses by Purdue faculty
- Purdue University Alumni Association membership
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 course, 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.
Program Advisors and Trainers
Program Advisors
Venkata N Inukollu
Assistant Professor, Purdue UniversityVenkata 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.
Program Trainers
Simon Travasoli
25+ years of experienceSenior Data Science Consultant at Citi Bank
Rocky Jagtiani
24+ years of experienceAI and ML Trainer
Nikhil Garg
16+ years of experienceData Science Instructor
Nitin Gujral
15+ years of experienceFounder at Cramlays
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 course is ideal for individuals striving to stay ahead of this transformative trend!
$267 billionExpected global AI market value by 2027
37.3%Projected CAGR of the global AI market from 2023-2030
$15.7 trillionExpected total contribution of AI to the global economy by 2030
Companies hire AI engineer
Batch Profile
These AI and ML courses cater to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
- The class consists of learners from excellent organizations and diverse industriesIndustryInformation Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%Companies
- The class maintains an impressive diversity across work experience and rolesDesignation BreakupAssociate - 12%Midlevel - 35%Senior-level - 43%Executive - 10%Total Years of ExperienceLess than 3 years - 13%3-5 years - 17%5-8 years - 12%8+ years - 58%
- The class has learners with varied educational qualifications from excellent institutionsQualificationBachelors - 65%Masters - 30%Others - 5%Universities
Admission Details
Application Process
Candidates can apply to this AI and ML Course in 3 steps. Selected candidates can join the program by paying the admission fee.
Submit Application
Tell us why you’d want to do this AI and ML Course
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates start the AI and ML Course in 1-2 weeks
Eligibility Criteria
Admission to this Post Graduate Program in AI ML Course requires:
Admission Fee & Financing
The admission fee for this AI and ML Course is A$ 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.
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
Other Cohorts
Date
Time
Batch Type
- Program Induction
7 Aug, 2024
23:30 AEST
- Regular Classes
10 Aug, 2024 - 17 Feb, 2025
23:30 - 03:30 AEST
Weekend (Sat - Sun)
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.
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:
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