Learning Agenda
Building Ai Applications
This curriculum guide is designed to empower aspiring AI developers, engineers, and enthusiasts with the knowledge, skills, and hands-on experience needed to thrive in the rapidly evolving field of AI.
Our mission is to equip you with the tools to design, build, and deploy cutting-edge AI solutions that solve real-world challenges.
This comprehensive guide outlines a structured learning journey, blending theoretical foundations, practical applications, and project-based learning.
Through hands-on projects, collaborative challenges, and guidance from industry experts, you’ll gain the confidence to create AI systems that are innovative, ethical, and impactful.
Core Capabilities
Enterprise AI
The specialized skills required to navigate the complexities of implementing AI within large enterprise organizations, addressing the unique needs of businesses with intricate systems, diverse stakeholders, and high-stakes objectives.
DevOps
AI is revolutionizing the way software is developed, bringing about significant changes in coding, testing, and deployment processes.
Low Code
Building and deploying AI solutions with minimal coding expertise, tailored for SMEs and digital entrepreneurs. This module focuses on the practical application of low-code AI platforms to create scalable AI solutions.
Solution
Guides
Solution Guides apply the core capabilities to scenarios.
An overview of Azure innovations and services that enable enterprise developers to build and scale Cloud Native applications on Microsoft Azure.
By migrating to a unified DevOps platform, Vodafone’s development efforts operate like a single, global team rather than several disparate companies.
Microservices Architecture offers a powerful framework for accelerating software development by breaking down complex applications into smaller, manageable components.