Develop AI Solutions in Microsoft Azure
Course Code: MAI103
Duration: 4 days
Price: £2545.00
Upcoming Events
- Virtual Classroom
- Mon 9 November 2026
- 4 days
-  £2,545.00   (€2,980.00) 
- Virtual Classroom
- Tue 9 March 2027
- 4 days
-  £2,545.00   (€2,980.00) 
Course Overview:
Design and build intelligent AI apps and agents on Azure that reason over text, images, and documents.
This course is intended for software developers wanting to build AI infused applications that leverage Microsoft Foundry. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement knowledge connections or tools in your agentic applications. This course also covers multimodal capabilities and understanding of complex content.
Target Audience:
This course was designed for software engineers concerned with building, managing and deploying AI solutions that leverage Microsoft Foundry.
Course Objectives:
By actively participating in this course, you will learn about the following:
- Develop generative AI applications using Microsoft Foundry on Azure.
- Design and implement AI agents capable of task execution and orchestration.
- Integrate external tools and knowledge sources into agent-based solutions.
- Apply multimodal AI techniques to process diverse data types.
- Build natural language processing solutions for conversational and text-based scenarios.
- Extract, analyse, and reason over visual and complex content.
- Design scalable, production-ready AI systems using Azure services.
Course Content:
Module 1: Introduction to AI applications and agents on Azure
Overview of AI application architectures
Introduction to generative AI concepts
Understanding agent-based systems and their role in modern AI
Overview of Microsoft Foundry capabilities
Azure services for AI development
Module 2: Developing generative AI applications
Working with foundation models
Prompt engineering techniques
Designing application workflows with generative AI
Managing inputs, outputs, and context
Evaluating and refining model responses
Module 3: Building AI agents on Azure
Agent architecture and design patterns
Task planning and execution
Managing agent state and memory
Event-driven and autonomous agent behaviours
Debugging and monitoring agent performance
Module 4: Integrating tools and knowledge into agentic solutions
Tool integration patterns for agents
Connecting agents to APIs and external services
Knowledge grounding and retrieval techniques
Implementing retrieval-augmented generation (RAG)
Managing data sources and context injection
Module 5: Developing natural language AI solutions
Natural language processing fundamentals
Conversational AI design
Text analysis and classification
Language generation and summarisation
Building chat-based interfaces
Module 6: Multimodal AI and complex content understanding
Working with image and text inputs
Multimodal model capabilities
Extracting insights from visual data
Combining modalities in a single workflow
Handling complex and unstructured content
Module 7: Building scalable AI solutions with Microsoft Foundry
Application deployment strategies on Azure
Scaling AI workloads
Performance optimisation
Monitoring and logging
Security and responsible AI considerations
Module 8: Designing production-ready AI systems
End-to-end solution design
Architectural best practices
Managing lifecycle and updates
Testing and validation strategies
Real-world use case scenarios
Prerequisites:
Before attending this course, students must be familiar with Python and have knowledge on using APIs and SDKs to build agents and generative AI solutions on Azure.
Certification / Exam:
This course leads to the exam AI-103: Developing AI Apps and Agents on Azure
Further Information:
For more information or to book this course, please contact our Course Enquiries Team on 0117 370 1970 or send us an email us at enquiries@skilltec.co.uk
This training course provided by Skilltec is accredited through Global Knowledge Training Ltd. Global Knowledge Training Ltd are the authorised learning partner; all trademarks and partner statuses are provided through them.