Certified AI Engineer Professional

$6,299.00 AUD $5,669.00 AUD Save $630.00

The Discounted price shown applies only to upfront payment

Payment Plan - From $64.00/week

Gain hands-on experience in machine learning, natural language processing, and deep learning while learning to build, train, and deploy AI models. This course equips you with job-ready skills for in-demand roles such as AI Engineer and Machine Learning Engineer.


  • 6 months
  • Start ASAP
  • 100% online learning with trainer support
  • Microsoft Azure Fundamental Certification, Microsoft Azure AI Fundamental, Essential AI Programming Knowledge, Microsoft Azure AI Engineer Associate
  • Salary Range: $77,000+

Job Placement Program

Pair your online IT course with a 12-week internship and tailored career support so you graduate with experience and a pathway to paid employment. Learn more about the programs benefits here

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+ $2,300

Build intelligent systems with the skills to design, train, and deploy AI solutions for the real world.

The Certified AI Engineer Professional course prepares you to step into one of the most exciting and fast-growing areas of technology. You’ll learn how to design, train, and deploy artificial intelligence models that solve real-world problems, using industry-standard tools and frameworks.

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From machine learning and natural language processing to computer vision and deep learning, this course gives you hands-on experience applying AI across multiple domains. You’ll also master cloud-based AI services, model deployment, and ethical AI practices to ensure your solutions are both powerful and responsible.

With a project-based approach, you’ll graduate with practical experience and a portfolio of AI applications, ready to pursue roles such as AI Engineer, Machine Learning Engineer, or Data Scientist.

Image: Certified AI Engineer Professional Table


What You Will Learn from this AI Course:

In this course, you’ll gain the knowledge and practical experience to design, build, and deploy AI solutions. You will:

  • Master Machine Learning & Deep Learning – Train and evaluate models using frameworks like TensorFlow and PyTorch.
  • Work with Natural Language Processing (NLP) – Build AI systems that understand and process human language.
  • Explore Computer Vision – Apply AI to image recognition, object detection, and visual data analysis.
  • Leverage Cloud AI Services – Deploy and scale models using platforms such as AWS, Azure, or Google Cloud.
  • Implement Ethical AI Practices – Understand fairness, transparency, and responsible use of AI technologies.
  • Hands-On Projects – Apply your skills to real-world scenarios, building a portfolio of AI applications.

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    Course Structure

    Certified AI Engineer Professional

    • 6 months
    • 100% online learning
    Microsoft Azure Fundamental Certification

    This fundamental certification is your stepping stone to understand the Azure ecosystem . It equips you with essential knowledge Azure cloud computing principle, types of Azure services which includes virtual machines, storage, networking and database. In addition, you will also understand the governance, compliance, policies, security and cost management in Azure. This industry-recognised certification also boosts your resume, highlights your dedication to the field, and paves the way for advanced credentials.

    Microsoft Azure AI Fundamental

    This certification introduces Azure AI tools and services, understanding how each tool operates and the algorithms of the applications. The course will also provide the basics of building AI models, applications and AI implementation scenarios. By completing it, you learn the fundamentals in the Azure AI. This certification also strengthens your Azure AI knowledge.

    Essential AI Programming Knowledge

    To become ready for Azure AI Engineer Associate course and in the AI Engineer field, a strong foundation in programming is essential. Python and C# skills enable engineers to build, train, and deploy AI models, while hands-on experience with REST APIs and JSON ensures AI engineers can integrate AI solutions into real-world applications. Data processing and manipulation are crucial for preparing datasets, a key step in machine learning. Understanding AI programming skills fundamentals allows AI engineers to develop intelligent solutions. These essential programming knowledges provide the technical foundation needed to excel as an AI Engineer.

    Microsoft Azure AI Engineer Associate

    The certification equips individuals with the knowledge and practical skills to design, implement, and manage AI solutions using Azure AI services. Key areas of focus include natural language processing, computer vision, machine learning models, and integrating AI solutions into existing applications. Learners gain hands-on experience in deploying Azure Machine Learning models, leveraging cognitive services, and ensuring AI solutions meet performance, scalability, and ethical standards. Additionally, the certification emphasizes managing data sources, building responsible AI solutions, and collaborating with developers and stakeholders to meet business objectives.

    By undertaking real-world projects, you will develop the practical experience and confidence needed to become an AI engineer, ensuring you are job-ready from day one.

    Job Placement Program

    Pair your IT course with a 12-week internship, career coaching, and access to 3,000+ employers - giving you real experience and a clear path to your first tech role. Over 75% of our students receive job offers during or after their placement.

    Job Ready Skills

    Earn certifications in high demand in Australian and Internationally – Fast.  Gain the skills you need to jumpstart your career in IT with our Learn-Practice-Test-Repeat approach. Fast tracking our students to success.

    Support

    Discover the power of quality trainers. Our trainers are experienced industry professionals who will guide you in your studies and help you to leverage your skills in real work scenarios.

    Flexible Study

    Learn on your terms with flexible study options. Our trainers and resources are available online so you can balance study with work and life commitments. Study anywhere, anytime, at your own pace -without compromising the quality of your learning experience.

    Frequently Asked Questions


    Here are some common questions from our students. If you have a question that isn't addressed here. Reach out to one of our talented advisors here.

    Who is this course designed for?

    This course is suited for IT professionals, data specialists, or developers who want to build advanced AI skills. A basic understanding of programming and mathematics is recommended to get the most out of the training.

    What skills will I learn in this course?

    You’ll learn to design, train, and deploy AI models using frameworks like TensorFlow and PyTorch. Key areas include machine learning, deep learning, natural language processing, computer vision, cloud-based AI services, and ethical AI practices.

    Will I earn a recognised certification?

    Yes. On completion, you’ll receive the Certified AI Engineer Professional certification, demonstrating your ability to work with real-world AI technologies and frameworks.

    What career opportunities are available after completing this course?

    Graduates are prepared for roles such as AI Engineer, Machine Learning Engineer, Data Scientist, or AI Solutions Architect across industries including technology, finance, healthcare, and government.

    Amit Saddi

    Certified Artificial Intelligence Professional

    "AI is not just about building intelligent machines, but about understanding intelligence itself." – Fei-Fei Li

    Amit is an AI and machine learning expert dedicated to mentoring the next generation of AI professionals. With over a decade of experience in artificial intelligence, data science, and software engineering, he is here to guide you in mastering AI technologies and their real-world applications.

    As a certified AI practitioner and a contributor to open-source AI projects, Amit has a strong foundation in building and deploying AI models. He has led AI strategy initiatives at major tech firms, helping businesses integrate AI into their operations efficiently and ethically.

    Career Opportunities

    Explore the career opportunities this course will enable.

    An AI Developer designs, builds, and implements artificial intelligence solutions that solve real-world problems. They work with machine learning models, natural language processing, and computer vision to create intelligent applications. AI Developers collaborate with data scientists and engineers to train models, integrate them into software systems, and deploy them at scale, ensuring solutions are efficient, accurate, and ethical.

    A Machine Learning Researcher advances the field of artificial intelligence by developing new algorithms, models, and techniques. They explore complex problems in areas like deep learning, natural language processing, and computer vision, testing and refining approaches to push the boundaries of what AI can achieve. Working in collaboration with engineers and data scientists, Machine Learning Researchers publish findings, optimise models, and contribute to innovations that shape the future of technology.

    A Machine Learning Engineer designs, builds, and deploys machine learning models that power intelligent applications. They work with large datasets, develop algorithms, and optimise models for performance and scalability. Collaborating with data scientists and software developers, they integrate AI solutions into real-world systems, ensuring they are reliable, efficient, and impactful.

    A Junior AI Engineer supports the design and development of artificial intelligence solutions under the guidance of senior engineers. They assist in building and training machine learning models, testing algorithms, preparing datasets, and integrating AI tools into applications. This entry-level role provides hands-on experience with frameworks and cloud platforms, helping Junior AI Engineers grow into advanced AI development and engineering positions.

    The benefits of completing this artificial intelligence course

    AI Engineers play a pivotal role in shaping Australia's AI-driven future by designing and implementing innovative solutions that drive business transformation and technological advancement. Our expert-led AI Engineer course equips you with practical skills in designing and implementing AI solutions using Azure services, setting you apart in a competitive job market. The course is tailored to help you master key AI concepts, from natural language processing to computer vision, while aligning with certification requirements. In addition to theoretical knowledge, you gain hands-on experience through guided labs and projects, ensuring you're job-ready upon completion. 

    The program will cover Azure fundamentals, including Azure eco-systems, AI fundaments and AI Engineer Associate knowledge. Throughout this online AI course, you will also develop hands-on experience with a capstone project that mirrors real-world AI projects, ensuring you are job-ready upon completion.

    100% online learning

    Our industry-leading ICT courses and web-based learning environment are available to you 24/7.

    Payment Plans

    Contact us to learn more about our flexible monthly payment plans.

    With options ranging from 8 to 24 months, you can start paying as little as $58.46 per week.

    Support every step of the way

    Our team will make sure you finish what you start. Our Trainers and Student Support Team will be there for you at every step.