Boost your career with a certification path in Development, AI, and DevOps

Boosting your professional career with a certification path in Development, AI, and DevOps

Madrid, June 2026 

Author: Javier Lozano · CEO of Nanfor - Last updated: June 8, 2026

In an environment where artificial intelligence is transforming software development, more and more professionals are seeking to specialize in technologies that allow them to program with greater efficiency, build intelligent solutions, and bring them to production agilely. Miguel, a developer in cloud environments, identifies this evolution and decides to take a strategic step in his career: specializing in Development, Artificial Intelligence, and DevOps.
His goal is clear: leverage artificial intelligence in the development cycle, create AI-based applications, and deploy solutions in real production environments, integrating all phases of modern development. To achieve this, he opts for Nanfor's LaaS Cert – Development / AI / DevOps Scenario.

A technical profile aligned with modern development

This path is designed for professionals looking to evolve into one of the most in-demand profiles in the technology market:

• Software and application developers
• Cloud and full-stack engineers
• IT professionals focused on development and automation
• DevOps teams
• Technical profiles working with Azure
• Professionals interested in integrating artificial intelligence into software development

Miguel understands that current development goes beyond code: it involves working with AI-assisted tools, cloud architectures, and DevOps practices that accelerate the complete delivery cycle.

A certification path in Development, AI, and DevOps

The LaaS Cert Development / AI / DevOps Scenario proposes a journey of between 6 and 9 months, progressively covering the entire modern development cycle: from individual productivity to the production deployment of artificial intelligence-based solutions.

Training agenda for the path

GH‑300 – GitHub Copilot (1 month)
The starting point of the path, focused on improving developer productivity through artificial intelligence, facilitating code generation, task automation, and best practices.

AI‑200 – Develop AI cloud solutions on Azure (3 months)
Training focused on developing artificial intelligence solutions in the cloud, working with Azure AI services to design scalable intelligent applications.

AI‑103 – Development of AI applications and agents on Azure (3 months)
Specialization in creating artificial intelligence-based applications and agents, integrating advanced models and multimodal capabilities in business environments.

AZ‑400 – DevOps Engineer (3 months)
The culmination of the path, focused on automating the development cycle through DevOps practices: continuous integration (CI), continuous deployment (CD), pipelines, and efficient software lifecycle management.

✅ Certifiable courses include an exam voucher (1).

Benefits of specializing with LaaS Cert

Thanks to the Learning as a Service (LaaS) model, Miguel accesses a continuous and strategic training approach, aligned with the real needs of the market:

• Structured path in key technologies: AI, development, and DevOps
• Integration of artificial intelligence in the development cycle
• Training focused on real business cases
• Official certifications included
• Flexibility to combine training and work
• Progressive evolution towards advanced technical profiles
• Continuous support throughout the process

This approach allows for coherent progress, avoiding scattered isolated courses and building a complete and competitive profile.

Development, AI, and DevOps as a competitive advantage

With this path, Miguel positions himself as a professional capable of developing intelligent solutions, automating processes, and bringing applications to production efficiently, integrating artificial intelligence into all phases of development.
Nanfor's LaaS Cert Development / AI / DevOps Scenario turns training into a real competitive advantage, aligning the professional profile with current trends in the technology sector.