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Duration 14 hours
Course Outline
Enterprise AI Agents with Tencent ADP
- Defining enterprise AI agents and identifying areas of added value.
- Exploring Tencent ADP capabilities for agent development, knowledge integration, and workflow automation.
- Distinguishing between agent-based solutions and standard chat applications.
- Reviewing common enterprise use cases and key delivery considerations.
Designing Agents for Business Processes
- Defining agent roles, boundaries, inputs, and outputs.
- Selecting between single-agent and multi-agent architectural designs.
- Structuring prompts, tools, and business rules effectively.
- Planning for escalation paths, human review, and system reliability.
Building RAG and Knowledge Workflows
- Understanding RAG concepts for grounded answers and accessing enterprise knowledge.
- Preparing documents, policies, and internal content for retrieval systems.
- Designing retrieval flows and response grounding patterns.
- Testing and iteratively improving answer quality over time.
Orchestrating Workflows and Integrations
- Mapping business processes into agent-driven workflows.
- Connecting agents to APIs, internal services, and broader enterprise systems.
- Managing decisions, approvals, retries, and fallback mechanisms.
- Coordinating handoffs between workflow steps and specialized agents.
Applying Operational Guardrails
- Implementing guardrails for security, privacy, compliance, and policy control.
- Mitigating risks associated with unsafe outputs, prompt injection, and sensitive data exposure.
- Integrating approval checkpoints, audit trails, and access controls.
- Designing safe response patterns for high-impact business scenarios.
Monitoring, Evaluation, and Continuous Improvement
- Tracking metrics for quality, latency, cost, and workflow success rates.
- Testing agent behavior across realistic business scenarios.
- Troubleshooting common issues in RAG, workflows, and orchestration.
- Developing an implementation plan for pilot programs and production adoption.
Requirements
- A foundational understanding of generative AI concepts and typical enterprise AI applications.
- Practical experience working with APIs, web applications, or cloud-based platforms.
- Basic proficiency in programming, system integration, or solution design.
Audience
- Solution architects and technical leads.
- AI engineers, application developers, and automation specialists.
- Product managers and innovation teams supporting enterprise AI initiatives.
