Certification-Focused | Industry-Driven Programme
Azure AI Engineer Professional
Build practical Azure AI, generative AI, agent development and RAG skills for modern enterprise AI application roles.
Duration
20 Weeks / 5 Months
Fees
Contact Advisor
Mode
Online / Physical / Hybrid
Next Intake
Confirm with Advisor
Build practical AI apps and intelligent agents skills.
The Microsoft Certified Azure AI Engineer Professional programme is a comprehensive professional pathway designed to develop the skills required to design, develop, deploy, secure and monitor artificial-intelligence applications using Microsoft Azure and Microsoft Foundry.
The programme combines AI foundations with practical development of modern generative-AI applications and intelligent agents.
Course Duration
- A 20 Weeks / 5 Months pathway designed for students who want practical AI apps and intelligent agents skills.
- Stage 1 – AI-901: Microsoft Azure AI Fundamentals
- Stage 2 – Python and API Preparation
- Students will also complete practical learning activities, guided case studies and a final project connected to the programme focus.
What You Will Study
- Introduction to Artificial Intelligence
- Artificial-Intelligence Workloads
- Machine-Learning Fundamentals
- Classification, Regression and Clustering
- Deep-Learning Concepts
- Natural-Language Processing
- Computer-Vision Fundamentals
- Generative-AI Fundamentals
The curriculum is written to help students connect technical theory with practical workplace and project-based learning.
Entry Requirements
- Software developers
- Full-stack developers
- Cloud engineers
- Azure administrators
Our admissions team can help you check eligibility and choose the best starting point.
Fees and Funding
- Programme fee: Contact the NextGen Campus admissions team for the latest fee plan.
- Flexible payment or instalment options may be available for eligible students.
- Students can request fee breakdown, registration details and schedule information.
- External certification examination fees are separate unless included in a specific intake offer.
For the latest fee plan, speak to NextGen Campus before applying.
Career Pathways
- Junior Azure AI Developer
- Azure AI Apps Developer
- AI-Agent Developer
- Generative-AI Application Developer
- Junior AI Engineer
- Microsoft Foundry Developer
- Conversational-AI Developer
Final career outcomes depend on practical ability, project quality, certifications, communication skills, interview preparation and industry experience.
Enquire Now
Let's Help You Build Your Future
Fill out the form and our advisors will guide you through eligibility, fees, intake dates and programme options.
Your Path to a Successful Career
JUNIOR AZURE AI DEVELOPER
Build and test Azure AI solutions using structured development practices.
AZURE AI APPS DEVELOPER
Develop intelligent Azure applications with testing and structured documentation practices.
AI-AGENT DEVELOPER
Build intelligent AI agents, test performance, and improve automated solutions.
GENERATIVE-AI APPLICATION DEVELOPER
Develop generative AI applications with testing, documentation, and continuous improvement.
Authorised Lab Learning
Ethical hacking activities must stay inside approved and controlled environments.
ABE UK Approved
Awarding-body information should be displayed clearly and consistently across the page.
NextGen Campus Support
Guidance for SOC, cyber security, ethical testing and professional certification pathways.
Microsoft Learning Partner
Content supports Cisco, Microsoft, VMware and cloud infrastructure career direction.
Ready to Build Your Future in IT?
Take a first step towards a future-ready technology career. We will guide you from eligibility check to enrolment with clear advice, practical learning and pathway support.
Frequently Ask Questions
Do I need previous technical experience?
No. Basic computer knowledge is helpful, but the programme is designed to build confidence step by step.
Is this suitable after O/Ls or A/Ls?
Yes. Students can speak to an advisor to check the best entry pathway for their background.
What will I learn?
You will study core concepts, tools and practical workflows related to hardware and network engineering.
Can I study while working?
The listed mode is Online / Physical / Hybrid. Speak to the admissions team about schedules, class times and intake options.
What careers can I target?
You can prepare for entry-level, progression or specialist roles depending on skill level, projects and interview preparation.
How do I apply?
Submit the enquiry form. An advisor will guide you through eligibility, fees, documents and intake details.
