Course Structure
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.
You will build foundational knowledge across the core pillars of modern AI: machine learning principles, computer vision, natural language processing, and generative AI all within the Azure ecosystem. This industry-recognised Microsoft certification validates your understanding of responsible AI and real-world AI workloads, strengthens your professional profile.
To become ready for Azure AI Engineer and in the AI field, a strong foundation in programming is essential. Python 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.
The certification is design for developers and AI engineers ready to build intelligent, production-ready AI solutions on Azure. You will gain hands-on skills in designing and deploying generative AI applications, building autonomous AI agents using Microsoft Foundry, and implementing computer vision, text analysis, and information extraction solutions. The certification also validates your ability to plan and manage Azure AI solutions end-to-end, applying responsible AI practices and secure development patterns throughout.
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.