Enrol in any Lumify Learn course today and Lumify will assist you in securing a paid or unpaid internship leading to a full-time job.

Through the Lumify Edge Job Placement Program, you will be assisted in securing a paid or unpaid IT internship opportunity. This could lead to a full-time IT job in just three months of completing any Lumify Learn course. Don’t miss out on this incredible opportunity to gain real-world experience and enhance your resume. An additional fee applies, but the investment in your future is priceless. Take the first step toward your dream career—join Lumify Learn today.

In addition to the above, you will also receive these student-exclusive benefits as part of the Lumify Edge Program:

• Personal Rebrand: Get noticed with a professional resume and LinkedIn profile update.
• Job Search Fast-Track: The Lumify Edge Job Portal simplifies your job search by providing one location for managing all your job applications.
• Exclusive Jobs: Access exclusive job listings from Edge Partners and the Lumify Group network across New Zealand.

• AI Developer: Approximately $60,000 to $132,000 per year.
• Machine Learning Researcher: Approximately $67,000 to $132,000 per year.
• Machine Learning Engineer: Approximately $140,000 to $170,000 per year.
• Junior AI Engineer: Approximately $78,000 to $120,000 per year.

Please note that these figures are approximate and can vary based on factors such as location, experience, and specific employer. All salary ranges listed above are from SEEK and Payscale.

• Job-Ready Skills: Gain the skills you need to jumpstart your career in IT with the ‘Learn-Practice-Test-Repeat’ approach.
• Dedicated Trainer Support: Receive one-on-one coaching and support from trainers with years of experience and expertise in the industry.
• Flexible Study: Study on your own schedule and have the option to fast-track and finish your studies sooner.
• A course delivered in partnership with globally recognised tech leaders like Microsoft and LinkedIn to enhance students' professional development and employability.
• Earn three globally recognised certifications: Microsoft Azure Fundamentals, Microsoft Azure AI Fundamentals, and Microsoft Azure AI Engineer Associate.

1. Microsoft Azure Fundamental Certification

This fundamental certification is your stepping stone to understand the Azure ecosystem . It equips you with essential knowledge in 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.

1. 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.

1. Essential AI Programming Knowledge

To become ready for the 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. This essential programming knowledge provides the technical foundation needed to excel as an AI Engineer.

1. 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 emphasises 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.