By the end of this course, learners will be able to understand and explain how to plan and develop AI solutions using Microsoft Azure AI Foundry and related tools. They will be able to select, deploy, and evaluate AI models using benchmarks and performance criteria. Learners will also be able to build generative AI applications using APIs such as chat and response interfaces, and enhance these applications using tools such as code execution, web search, file search, and function calling.
They will gain the ability to optimize model performance using prompt engineering, retrieval-augmented generation, and fine-tuning techniques. Learners will also be able to design and implement responsible AI solutions by identifying, measuring, and mitigating potential risks.
This course is suitable for developers and IT professionals who want to learn how to build AI applications and agents using Microsoft Azure. It is ideal for anyone interested in generative AI, cloud development, and automation.
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.
This course is best suited for learners with basic computer and IT skills. While programming experience is helpful, it is not mandatory. An interest in AI, automation, and cloud technology is recommended.
It is recommended that learners review Microsoft Learn resources on Azure AI, generative AI, and AI agents. Reading about prompt engineering and cloud-based AI development will also be helpful.
There is no formal exam for this course. Assessment is based on practical learning and participation. A Certificate of Completion is awarded at the end of the course.
After completing this course, learners can progress to more advanced Azure AI and cloud development topics, including multi-agent orchestration, enterprise AI solution design, and advanced Azure AI services integration. Learners may also choose to specialise further in areas such as AI engineering, cloud architecture, or generative AI application development to build production-ready AI systems at scale.
This course is designed as a practical, hands-on training programme focused on real-world AI development using Microsoft Azure. Learners will gain experience across a wide range of Azure AI services and tools, including model deployment, AI agents, multimodal applications, and knowledge-based systems.

All of our trainers have achieved exceptionally high delegate pass rates for accredited examinations for all our courses. We also offer complimentary pre and post-course support for any questions you may have.

We try and be as flexible as we can and accommodate your needs. We can swap delegates at any time with no charge. We can also create bespoke content should this be required.

We specialise in IT Service and Project Management. All of our Trainers and Consultants have considerable years of hands-on experience in IT Service / Project Management, working across a wide number of industry sectors.

Our training, sales and admin staff are all professional, helpful, friendly and approachable. We believe in providing excellent customer service. You will always have a dedicated friendly Account Manager
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