Building AI Agents on Microsoft Azure Training Course
Designing and deploying artificial intelligence (AI) agents on Microsoft Azure constitutes a comprehensive instructional program focused on the development lifecycle of these systems within the Azure ecosystem. This instructor-led curriculum, available through online or onsite modalities, targets technical professionals and developers across beginner, intermediate, and advanced proficiency levels who seek to leverage Microsoft Azure infrastructure for the creation, validation, and implementation of AI-driven solutions in operational environments.
Upon completion of this training, participants will demonstrate the following capabilities:
* Comprehend the foundational principles, architectural components, and enterprise applications of AI agents within the Azure platform.
* Construct fundamental AI agents utilizing Azure AI services and Azure OpenAI infrastructure.
* Integrate agent functionalities with enterprise data repositories through advanced retrieval and search mechanisms.
* Assess, secure, and prepare AI agents for rigorous deployment within professional business contexts.
Course Delivery Methodology:
* Interactive instructional sessions coupled with strategic discussions.
* Facilitated exercises and applied practical activities.
* Direct implementation tasks conducted in a live-lab simulation environment.
Customization Services:
* Agencies and organizations requiring tailored training solutions for government entities should contact the provider to arrange customized course modifications.This course is available as onsite live training in US Government or online live training.
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Course Outline
Fundamentals of Azure AI Agents
- Differentiation between autonomous AI agents and traditional chatbot architectures
- Strategic business applications and standard solution frameworks
- Survey of Azure AI services utilized for agent construction
- Architecting end-to-end agent workflows from initial request to final output
Azure Infrastructure and Tooling Configuration
- Review of Azure resources essential for simplified agent implementations
- Navigating the Azure AI Foundry interface and associated utilities
- Establishing secure access protocols, project parameters, and model integrations
Agent Development Lifecycle
- Defining system roles, operational instructions, and behavioral constraints
- Integration of Azure OpenAI models within agent workflows
- Iterative prompt engineering to enhance response accuracy and quality
- Practical application exercises for agent construction
Data Integration and Knowledge Retrieval
- Introduction to retrieval-augmented generation (RAG) methodologies
- Linking agents to organizational documents and proprietary data sources
- Leveraging Azure AI Search to ensure factual grounding and precision
- Strategies for validating relevance and mitigating hallucinations
Evaluation, Security, and Governance
- Implementation of safety guardrails and responsible AI compliance measures
- Assessment of agent performance through targeted testing scenarios
- Management of identity access, data privacy controls, and usage policies for government applications
Deployment and Operational Sustainability
- Deployment strategies for internal agency and public-facing service models
- Mechanisms for monitoring agent activity, utilization metrics, and system performance
- Resolution of common operational challenges to ensure system reliability
- Strategic roadmap for future solution scalability and enhancement
Requirements
**Prerequisites**
* Foundational knowledge of cloud computing principles and core Microsoft Azure services.
* Practical experience developing web applications or APIs, alongside proficiency in navigating the Microsoft Azure portal.
* Fundamental programming competence in contemporary software languages.
**Target Audience**
This course is designed for government professionals who require specialized training **for government** contexts, including:
* Developers tasked with creating artificial intelligence-enabled applications using Azure infrastructure.
* Solution architects evaluating agent-based architectures to address specific federal or public sector business requirements.
* Technical personnel seeking a structured, practical introduction to the development of AI agents within the Azure ecosystem.
7 Hours
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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