Study guide — AI-103

Choose the appropriate Foundry services for generative AI and agents

• Choose an appropriate model for each task, including large language models, small language models, multimodal models, and Foundry Tools
• Choose the appropriate Foundry services for generative tasks, grounding, vector search, agent workflows, or multimodal processing
• Choose an appropriate method for retrieval and indexing
• Choose appropriate memory, tool, and knowledge integration services for agent solutions

Set up AI solutions in Foundry

• Design Azure infrastructure for AI apps and agent-based solutions
• Choose appropriate deployment options
• Configure model and agent deployments
• Integrate Foundry projects with continuous integration and continuous deployment pipelines

Manage, monitor, and secure AI systems

• Manage quotas, scaling, rate limits, and cost footprints for model and agent workloads
• Monitor model performance, drift, safety events, and grounding quality
• Monitor data ingestion quality, search index health, and relevance performance
• Configure security, including managed identity, private networking, keyless credentials, and role policies

Implement responsible AI across generative AI and agentic systems

• Configure safety filters, guardrails, risk detection, and content moderation
• Apply responsible AI instrumentation, including evaluators, safety evaluations, and explanation tooling
• Implement auditing through trace logging, provenance metadata, and approval workflows
• Govern agent behavior with oversight modes, constraints, and tool-access controls