AI Development and LLM Trainings

Why AI development skills are in critical demand

The gap between organizations that experiment with AI and those that deploy it in production lies in development expertise. While business users can leverage no-code tools for simple automation, building robust, scalable and secure AI applications requires professional development skills. These training courses provide the technical depth needed to build AI solutions that go beyond prototypes and deliver real business value.

From API integration and prompt engineering to RAG architectures and multi-agent systems, these courses cover the technologies and patterns used by AI engineers worldwide.

Developing AI solutions on Microsoft Azure

Microsoft Azure offers one of the most comprehensive AI development platforms available. The Develop AI Solutions in Azure (AI-102) certification course is the industry standard for Azure AI developers. It covers Azure AI services including vision, language, speech, decision and generative AI, with hands-on labs that prepare you for real-world implementation and the AI-102 certification exam.

For developers focused on the latest generative AI capabilities, the Develop Generative AI Applications in Azure (AI-3016) course covers Azure AI Studio, prompt flow and the deployment of custom copilot experiences. The Develop AI Agents on Azure (AI-3026) training takes this further with agent-based architectures using Azure AI Agent Service.

Building with Azure OpenAI and Semantic Kernel

The Develop Generative AI Solutions with Azure OpenAI and Semantic Kernel (AZ-2005) course teaches you to build sophisticated AI applications using the Azure OpenAI Service combined with the Semantic Kernel SDK. You will learn to implement chat completions, function calling, plugin architectures and RAG patterns that integrate with enterprise data sources.

For database-centric AI applications, the Build AI Applications with Azure Database for PostgreSQL (AI-3019) course shows you how to combine the power of PostgreSQL with Azure AI services to build data-driven intelligent applications.

Developing with major AI platforms

The AI development landscape extends well beyond a single cloud provider. ITTA offers dedicated courses for each major AI platform. Courses covering the OpenAI API teach you to work with GPT models, assistants API and function calling to build production-grade applications. Claude API and Anthropic Platform courses cover the unique capabilities of Anthropic’s models, including long-context processing and tool use. Gemini and Vertex AI courses explore Google’s AI platform for building and deploying machine learning and generative AI solutions.

For organizations using AWS, courses on AWS Bedrock cover building applications and agents using Amazon’s managed AI service, with access to multiple foundation models from a single API.

RAG architectures and LLM application development

Retrieval-Augmented Generation (RAG) has become the standard pattern for building AI applications that combine the power of large language models with your organization’s proprietary data. ITTA training courses on LangChain and RAG architectures teach you to design, implement and optimize RAG pipelines that deliver accurate, contextual and verifiable responses.

These courses cover vector databases, embedding strategies, chunking optimization, retrieval techniques and evaluation frameworks, giving you the complete toolkit for building LLM-powered applications that work reliably with enterprise data.

Multi-agent architectures and enterprise AI

Multi-agent systems represent the cutting edge of AI application design. By orchestrating multiple specialized AI agents that collaborate to solve complex problems, organizations can automate workflows that no single agent could handle alone. ITTA training on multi-agent architecture covers design patterns, communication protocols, orchestration frameworks and deployment strategies for enterprise-scale agent systems.

Securing AI solutions in the cloud

As AI solutions move into production, security becomes paramount. ITTA offers training on securing AI workloads, covering threat modeling for AI systems, data protection, access control, model security and compliance requirements specific to AI deployments. You will learn to identify and mitigate the unique security risks that AI applications introduce, from prompt injection attacks to data leakage through model outputs, ensuring your solutions meet enterprise security standards.

Choosing the right AI platform for your project

With multiple AI platforms available, choosing the right one for your project is a critical architectural decision. ITTA courses cover the strengths and trade-offs of each major platform: Azure AI for enterprises deeply integrated with Microsoft, OpenAI for cutting-edge model capabilities, Anthropic for safety-focused applications, Google Vertex AI for multi-modal use cases and AWS Bedrock for multi-model flexibility. You will learn to evaluate platforms based on your specific requirements, existing infrastructure and long-term strategy.

Who are these courses for and how to progress

These courses are designed for software developers, solution architects, DevOps engineers and technical leads who want to build AI-powered applications. Most courses require programming experience (Python is the primary language) and familiarity with cloud platforms.

After completing development courses, participants can specialize in specific platforms, explore advanced topics like fine-tuning and model optimization, or move into AI governance and responsible AI practices.

Building production-grade AI: beyond the prototype

The difference between a demo and a production system is reliability, security and scalability. ITTA development courses emphasize best practices for building AI applications that perform consistently under real-world conditions: proper error handling, graceful degradation, input validation, output monitoring and cost optimization. You will learn to build systems that your organization can depend on, not just impressive prototypes that break under pressure.

All ITTA training courses are delivered in person in Geneva and Lausanne or as virtual classes, and are eligible for Temptraining funding for employees based or working in Switzerland.

Expand your AI development learning path

Developers new to AI will benefit from starting with our understanding artificial intelligence courses. For data-driven projects, our data science and applied AI courses cover machine learning, computer vision and NLP on Azure, essential skills for powering your AI applications.

For agents and autonomous systems, our AI agent creation and automation courses complement your skills with Copilot Studio and Power Platform. To secure and govern your solutions in production, our AI governance and responsible AI domain covers AI Act, GDPR and security best practices.