AI & ML Certification Online for Working Professionals – AI/ML Programs

Keep pace with leading AI excellence in Australia with online certifications in Artificial Intelligence (AI) and Machine Learning (ML) on the upGrad platform in collaboration with respected global universities. The courses are particularly suitable for working professionals and busy students who want to create a niche in the AI/ML space.

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Machine Learning and AI

Liverpool John Moores University

GenAI Integrated curriculum

Master of Science in Machine Learning & AI

Masters
18 Months
IOA Accredited

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IIIT Bangalore

20+ Programming and Gen AI tools

Executive Diploma in Machine Learning and AI

Diploma
12 Months
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Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions.

Online Machine Learning and AI Courses in Australia: Key Details at a Glance

1. AI and Machine Learning Programs in Australia – A Quick Overview

Programs in Australia in AI and Machine Learning are offered in various formats—short certifications, diplomas, undergraduate, and postgraduate degrees—available both online and offline. Program durations range from a few weeks to several months (for certifications and boot camps) and up to two years (for master’s programs). Some institutions offer part-time and hybrid options for working professionals. Australia’s rapidly advancing tech ecosystem is driving AI-led transformation across industries, increasing demand for skilled AI & ML professionals. As a result, many consider this the right time to invest in AI and ML programs for career growth.

Why Learning AI and ML Courses in Australia Is the Right Choice Now?

Artificial Intelligence (AI) is influencing how we work and live, from autonomous vehicles to robotics in healthcare. Australia offers excellent universities, strong research opportunities, and industry connections, making it an ideal destination for studying AI.

Here are some reasons why AI and ML programs in Australia stand out:

Strong job market – Australia’s tech sector is growing, creating high demand for AI engineers, data scientists, and ML professionals.
Work opportunities – International students benefit from generous post-study work visa options.
Research experience – Students gain exposure to robotics, data science, computer vision, and machine learning research.

Who Should Consider AI/ML Programs in Australia?

AI and ML programs can be pursued by learners at various stages. Online certifications and degree programs offered through platforms like upGrad support flexible learning pathways.

The following individuals can consider these programs:

Beginners – Those starting their AI/ML journey.
Working professionals – Individuals seeking career advancement through upskilling.
Fresh graduates – Students aiming to enter Australia’s growing AI job market.
Senior leaders – Professionals interested in AI-driven insights and decision-making.
Entrepreneurs – Innovators looking to build AI-enabled solutions.

Machine Learning & Artificial Intelligence Course Eligibility & Admission Criteria

Course Duration

Course durations generally range from 6 to 24 months, depending on the level and mode of study.

Eligibility Criteria

A bachelor’s degree with at least 50% marks (or equivalent).
A background in Mathematics or Statistics is preferred for some courses.
Some programs require 1 year of experience in programming or analytics.
Many beginner-friendly programs have no prerequisites.

Refer to the specific program page for detailed eligibility information.

Course Objectives and Learning Outcomes

Course Objectives:

Build a solid foundation in machine learning, deep learning, and AI algorithms.
Equip learners with practical skills to develop and deploy AI solutions.
Enable application of AI/ML techniques to solve business challenges.
Encourage innovation in AI-based problem-solving.
Promote understanding of ethics and data privacy regulations.

Learning Outcomes:

Understand reinforcement, supervised, and unsupervised learning.
Gain hands-on experience with Python, TensorFlow, and other tools.
Build ML models tailored to various industries.
Apply AI in NLP, computer vision, and robotics.
Develop end-to-end ML/AI projects aligned with industry needs.

Curriculum Highlights and Specializations

Curriculum Highlights:

Advanced Mathematics & Programming
Data Analysis & Exploration
Cloud Computing & Big Data
Foundations of Machine Learning
Deep Learning & NLP
Research Methodologies
Master’s Dissertation

Specializations:

Machine Learning Operations (MLOps)
Generative AI (GenAI)
Natural Language Processing (NLP)
Computer Vision
Deep Learning
Data Science & Analytics

Career Opportunities in Australia with AI/ML Certifications

AI and ML courses open doors to multiple career paths:

Job Role	Description
AI Researcher	Develops advanced AI models and explores new algorithms for innovation.
Machine Learning Engineer	Designs, builds, and deploys ML systems for practical applications.
Data Scientist	Extracts insights from data using statistics, ML, and visualization.
AI Product Manager	Bridges technology and business gaps, overseeing AI product development and strategy.
NLP Engineer	Specializes in natural language processing to build chatbots, voice, and text systems.

Skill Sets Required for Success in the AI/ML Field

To thrive in Australia’s fast-moving AI/ML world, professionals need a combination of technical skill and analytical reasoning. Whether you are just entering the workforce or looking to upskill, the knowledge and understanding of key principles of machine learning will give you a competitive advantage.

Hard Skills:

Python: Core programming language for building and deploying AI and Machine Learning models.
SQL: Essential for managing, querying, and extracting insights from large datasets.
Scikit-learn: A popular library for implementing machine learning algorithms efficiently.
TensorFlow: Industry-standard framework for deep learning and neural network development.
Data preprocessing: Cleaning and transforming raw data into usable formats for modeling.
ML algorithms: Applying supervised, unsupervised, and advanced algorithms to solve problems.

Soft Skills:

Critical thinking: Analyzing problems logically to design effective AI/ML solutions.
Problem-solving: Tackling real-world challenges by applying data-driven approaches.
Communication: Explaining complex technical results in a clear and straightforward way
Collaboration: Working effectively with cross-functional teams to deliver AI-driven outcomes

2. Overview of Machine Learning And AI Courses Offered In Australia

Australia offers numerous options for online AI and Machine Learning programs, including short-form certifications, diploma-level courses, and executive courses. Most programs are delivered in a fully online mode to make it convenient for working professionals. All programs offer personalized mentorship, hands-on and project-based learning, enabling students to apply theoretical knowledge in practice and gain experience relevant to the industry.

Case Studies and Real-World Applications Covered

Most AI and Machine Learning courses in Australia emphasize practical, hands-on learning across key industries, including:

Finance: Applications such as fraud detection, credit risk assessment, and algorithmic trading models.
Healthcare: Predictive diagnostics, patient risk profiling, and medical image analysis.
Retail: Customer segmentation, demand forecasting, and personalized recommendation engines.
Logistics: Optimizing routes, inventory management, and supply chain analytics using ML.
Marketing: Campaign targeting, sentiment analysis, and customer behavior prediction with NLP.

These programs help learners translate theoretical knowledge into industry-relevant skills. Australian AI and ML courses frequently incorporate capstone projects, lab exercises, and case studies in collaboration with local companies. Students gain hands-on experience with real-world datasets and simulated business scenarios, equipping them with practical, job-ready expertise aligned with Australia’s growing AI-driven economy.

Hands-On Projects And Industry Collaborations

Learners can engage in:

Predictive analytics projects involving authentic datasets from banks and financial institutions across Australia.
Develop healthcare ML applications that encompass patient risk modeling and diagnostic imaging in collaboration with Australian hospitals.
Design retail AI solutions, such as demand forecasting and recommendation engines, leveraging datasets from prominent Australian retailers.
Conduct logistics and supply chain optimization projects with Australian e-commerce and transport companies.
Engage in capstone projects with Australian technology companies, becoming acquainted with industry-relevant tools and workflows.

3. Online AI/ML Programme Highlights via upGrad

Features that set upGrad apart as a platform for AI/ML programs in Australia:

Globally recognised universities: AI/ML programs on the upGrad platform are offered in association with globally recognized universities, ensuring their international credibility.
Australia-focused projects: The AI/ML programs on the upGrad platform provide learners with the opportunity to work on case studies and projects aligned with the Australian market.
Personalised mentorship: Learners can get one-on-one guidance from industry experts to help them navigate challenges and stay ahead in their careers.
Job and resume support for the Australian market: Get tailored career assistance, including resume reviews, interview preparations, and job market insights specific to Australia.

4. Top Universities Offering Machine Learning and AI Courses in Australia

Here are some options for top online programs from the best global universities:

University/ Institute

Program Name

Duration

Accreditation

Key Highlights

Liverpool John Moores University (LJMU)

Master of Science in Machine Learning & AI

18 Months

WES-Recognised

Specialised modules on Generative AI, leveraging cutting-edge tools like LangChai and large language models (LLM)

IIIT-B

Executive Diploma in Machine Learning and AI

12 Months

UGC/ AICTE-Recognised

- Comprehensive curriculum and hands-on learning with 60+ case studies and 80+ programming and Generative AI tools

- 3-month free programming bootcamp for beginners.

5. How to Choose the Right Online Machine Learning and AI Course in Australia

With Australia’s growing demand for AI and ML talent across sectors, selecting the right course can give you a competitive edge. The ideal program should balance flexibility, practical exposure, and career support while fitting your lifestyle and career goals.

Key Factors to Consider:

Accreditation: Choose programs offered by reputed Australian universities or trusted global institutions to ensure employers recognise your certification.
Comprehensive Curriculum: Look for courses that cover the fundamentals—like supervised and unsupervised learning—along with advanced areas such as deep learning, MLOps, and Generative AI.
Hands-On Learning: Prioritise programs that include real-world projects, case studies, and exposure to tools like Python, TensorFlow, and PyTorch.
Mentorship & Support: Select courses that offer expert guidance, live sessions, and one-on-one mentorship to support your learning journey.
Career Assistance & Flexibility: The best programs provide job support—resume building, interview preparation—alongside flexible online or blended formats suitable for working professionals.

6. FAQs About Machine Learning and AI Courses in Australia

Is it worthwhile to learn machine learning in Australia?

Australia is renowned for its thriving technology sector, which has a high demand for AI and ML professionals. With strong educational institutions and industry-focused programs, pursuing machine learning in Australia is a worthwhile endeavor.

What are the prerequisites for enrolling in AI and machine learning courses in Australia?

A Bachelor’s degree is required in many institutions, and some universities may also require relevant work experience.

Can individuals from non-technical backgrounds pursue machine learning courses in Australia?

Yes. Many institutions in Australia offer programs designed to bridge the gap for students without a coding or IT background, making it easier for non-technical learners to study ML.

Which programming language should I learn for machine learning in Australia?

Python is the preferred programming language for machine learning due to its simplicity and powerful libraries for model development.

How to prepare for a machine learning interview in Australia?

Focus on strengthening core ML concepts, algorithms, and coding patterns. Practice real-world problem-solving, improve proficiency in AI/ML tools, discuss project outcomes confidently, and participate in mock interviews.

How can Artificial Intelligence and machine learning courses help professionals across different industries in Australia?

AI and ML courses enhance productivity and efficiency across industries by automating routine tasks and supporting data-driven decision-making, making them essential tools in the modern workplace.

What career opportunities are available after completing an AI or machine learning course in Australia?

AI and ML courses in Australia can open pathways to roles such as:

Machine Learning Engineer
Data Scientist
Robotics Engineer
AI Engineer
AI Researcher
Computer Vision Engineer
AI Product Manager
Computer Programmer
AI Ethics Specialist

What are the prospects of AI and machine learning jobs in Australia?

AI and machine learning jobs have a strong future in Australia, with demand expected to grow and requiring up to 161,000 specialists by 2030. Competitive salaries and expanding applications across industries make this a promising career path.

What support does upGrad provide to AI and ML learners in Australia?

upGrad offers programs in collaboration with top global universities, providing an industry-aligned curriculum, hands-on projects, live expert sessions, and mentorship. Learners also receive career assistance, including resume building, LinkedIn optimization, mock interviews, career coaching, and networking opportunities with alumni and industry experts.

AI & ML Success Stories

What Our Learners Have To Say

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Cassandra Pratt Romero

Software Engineer at Microsoft
6 Years of Experience

The urge to upskill myself led me to join this program

The urge to upskill myself led me to join this program. The program has been really great and has instilled a sense of confidence in me. The idea that i am part of something that is going to bring a revolution in near future is incredible. Post upGrad, i plan to continue my journey into the vast ocean of Artifical Intelligence and make a good name for myself. Read More

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Atul Chauhan

Applied Controls Engineer at Daikin
8 Years of Experience

The progress in AI and ML in the last decade sparked my curiosity about this topic

The progress in AI and ML in the last decade sparked my curiosity about this topic. The upGrad program looked well planned and built, with a reasonable price. The offline mode of education allowed me to study and learn while working at my job. During my learning journey with upGrad, I reinforced and learned new concepts I plan to use in my daily life and professional career. In the future, I will continue working and learning about these topics and applying them to my jobs. Read More

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Jheser Guzman Illanes

Vice President of Software Engineering at JPMorgan Chase & Co.
18 Years of Experience

My journey in the Post Graduate Diploma in AI and ML program has been transformative

My journey in the Post Graduate Diploma in AI and ML program has been transformative. I was initially drawn to the program due to my fascination with AI and ML, and it has exceeded my expectations. The curriculum, practical assignments, and hands-on projects have provided me with a comprehensive understanding of AI and ML principles and applications. This program has had a significant impact on my professional life, equipping me with the skills and knowledge to tackle complex challenges in the field. The program addressed my challenges in staying updated and lacking a structured learning path by providing a comprehensive curriculum and expert guidance. Collaborating with fellow learners and engaging with industry experts have been wonderful. Looking ahead, I am excited to apply my knowledge in the real world, pursue a career in AI and ML, and continue my learning journey. Overall, this program has been transformative, providing me with the tools and opportunities to excel in the dynamic field of AI and ML Read More

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Talha Anwer

Critical Care Service Engineer at Mediserv
11 Years of Experience

It was a fantastic journey so far with the support of upGrad team

I wanted to get into the ML\AI space for some time and decided to enroll in upGrad after being inspired by a friend. It was a fantastic journey so far with the support of upGrad team (special kudos to Karen for the excellent job) and I never imagined that I can make this far as I am a pretty occupied individual personally as well as professionally. I am looking forward to complete my masters and pursue PhD in near future. The foundation provided was fabulous and has enabled me to do design some innovative solutions at work. Thanks to upGrad for making it happen. Read More

Vsmy Naresh Kumar Kuppili

Solution Architect at Image Access Corp
11 Years of Experience

AI & ML Domain Insights

Latest Industry Trends in Machine Learning and AI

Machine Learning Surges: Global Market Set to expand

17.15% growth expected in the machine learning market by 2030

US $70.63 billion U.S. is the largest market for Machine Learning in 2024

$225.91 billion The global machine learning market touted to grow by 2030

$161.81 billion The global natural language processing market is expected to grow by 2029

344% surge in machine learning engineer job postings over the past five years

166% increase in demand machine learning skills over the past two years

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